diff --git "a/trainer_state.json" "b/trainer_state.json"
new file mode 100644--- /dev/null
+++ "b/trainer_state.json"
@@ -0,0 +1,153373 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0,
+  "global_step": 25558,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.607561929595828e-08,
+      "loss": 1.4162,
+      "step": 1
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 5.215123859191656e-08,
+      "loss": 1.4744,
+      "step": 2
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 7.822685788787485e-08,
+      "loss": 1.2635,
+      "step": 3
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.0430247718383312e-07,
+      "loss": 1.4912,
+      "step": 4
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.3037809647979142e-07,
+      "loss": 1.5432,
+      "step": 5
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.564537157757497e-07,
+      "loss": 1.4852,
+      "step": 6
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.8252933507170796e-07,
+      "loss": 1.2768,
+      "step": 7
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.0860495436766624e-07,
+      "loss": 1.2983,
+      "step": 8
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.3468057366362453e-07,
+      "loss": 1.3358,
+      "step": 9
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.6075619295958284e-07,
+      "loss": 1.5634,
+      "step": 10
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.868318122555411e-07,
+      "loss": 1.3143,
+      "step": 11
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.129074315514994e-07,
+      "loss": 1.399,
+      "step": 12
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.3898305084745766e-07,
+      "loss": 1.3998,
+      "step": 13
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.650586701434159e-07,
+      "loss": 1.6414,
+      "step": 14
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.9113428943937423e-07,
+      "loss": 1.413,
+      "step": 15
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 4.172099087353325e-07,
+      "loss": 1.3998,
+      "step": 16
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 4.432855280312908e-07,
+      "loss": 1.2224,
+      "step": 17
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 4.6936114732724906e-07,
+      "loss": 1.4509,
+      "step": 18
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 4.954367666232074e-07,
+      "loss": 1.7216,
+      "step": 19
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 5.215123859191657e-07,
+      "loss": 1.4102,
+      "step": 20
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 5.475880052151239e-07,
+      "loss": 1.3031,
+      "step": 21
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 5.736636245110822e-07,
+      "loss": 1.5466,
+      "step": 22
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 5.997392438070405e-07,
+      "loss": 1.2977,
+      "step": 23
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 6.258148631029988e-07,
+      "loss": 1.3928,
+      "step": 24
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 6.51890482398957e-07,
+      "loss": 1.1868,
+      "step": 25
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 6.779661016949153e-07,
+      "loss": 1.2549,
+      "step": 26
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 7.040417209908735e-07,
+      "loss": 1.8694,
+      "step": 27
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 7.301173402868318e-07,
+      "loss": 1.2739,
+      "step": 28
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 7.561929595827903e-07,
+      "loss": 1.1414,
+      "step": 29
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 7.822685788787485e-07,
+      "loss": 1.3493,
+      "step": 30
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 8.083441981747067e-07,
+      "loss": 1.4043,
+      "step": 31
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 8.34419817470665e-07,
+      "loss": 1.4418,
+      "step": 32
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 8.604954367666232e-07,
+      "loss": 1.3235,
+      "step": 33
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 8.865710560625816e-07,
+      "loss": 1.2844,
+      "step": 34
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 9.126466753585399e-07,
+      "loss": 1.3588,
+      "step": 35
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 9.387222946544981e-07,
+      "loss": 1.5233,
+      "step": 36
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 9.647979139504563e-07,
+      "loss": 1.2064,
+      "step": 37
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 9.908735332464147e-07,
+      "loss": 1.322,
+      "step": 38
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.016949152542373e-06,
+      "loss": 1.1722,
+      "step": 39
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.0430247718383314e-06,
+      "loss": 1.2955,
+      "step": 40
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.0691003911342896e-06,
+      "loss": 1.3342,
+      "step": 41
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.0951760104302478e-06,
+      "loss": 1.5964,
+      "step": 42
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.121251629726206e-06,
+      "loss": 1.5386,
+      "step": 43
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.1473272490221644e-06,
+      "loss": 1.2473,
+      "step": 44
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.1734028683181228e-06,
+      "loss": 1.1529,
+      "step": 45
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.199478487614081e-06,
+      "loss": 1.2349,
+      "step": 46
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.2255541069100392e-06,
+      "loss": 1.3128,
+      "step": 47
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.2516297262059976e-06,
+      "loss": 1.512,
+      "step": 48
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.2777053455019558e-06,
+      "loss": 1.2542,
+      "step": 49
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.303780964797914e-06,
+      "loss": 1.436,
+      "step": 50
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.3298565840938724e-06,
+      "loss": 1.3639,
+      "step": 51
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.3559322033898307e-06,
+      "loss": 1.2256,
+      "step": 52
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.3820078226857889e-06,
+      "loss": 1.2216,
+      "step": 53
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.408083441981747e-06,
+      "loss": 1.3273,
+      "step": 54
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.4341590612777055e-06,
+      "loss": 1.194,
+      "step": 55
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.4602346805736637e-06,
+      "loss": 1.5817,
+      "step": 56
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.4863102998696219e-06,
+      "loss": 1.2753,
+      "step": 57
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.5123859191655805e-06,
+      "loss": 1.2203,
+      "step": 58
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.5384615384615387e-06,
+      "loss": 1.44,
+      "step": 59
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.564537157757497e-06,
+      "loss": 1.2477,
+      "step": 60
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.5906127770534551e-06,
+      "loss": 1.1866,
+      "step": 61
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.6166883963494133e-06,
+      "loss": 1.1918,
+      "step": 62
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.6427640156453717e-06,
+      "loss": 1.094,
+      "step": 63
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.66883963494133e-06,
+      "loss": 1.115,
+      "step": 64
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.6949152542372882e-06,
+      "loss": 1.1697,
+      "step": 65
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.7209908735332464e-06,
+      "loss": 1.0815,
+      "step": 66
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.7470664928292048e-06,
+      "loss": 1.3365,
+      "step": 67
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.7731421121251632e-06,
+      "loss": 1.2723,
+      "step": 68
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.7992177314211214e-06,
+      "loss": 1.3279,
+      "step": 69
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.8252933507170798e-06,
+      "loss": 1.2205,
+      "step": 70
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.851368970013038e-06,
+      "loss": 1.259,
+      "step": 71
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.8774445893089962e-06,
+      "loss": 1.1655,
+      "step": 72
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.9035202086049544e-06,
+      "loss": 1.2358,
+      "step": 73
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.9295958279009126e-06,
+      "loss": 1.1489,
+      "step": 74
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.955671447196871e-06,
+      "loss": 1.1836,
+      "step": 75
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.9817470664928295e-06,
+      "loss": 1.1379,
+      "step": 76
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.0078226857887877e-06,
+      "loss": 1.2006,
+      "step": 77
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.033898305084746e-06,
+      "loss": 1.2509,
+      "step": 78
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.0599739243807045e-06,
+      "loss": 1.1611,
+      "step": 79
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.0860495436766627e-06,
+      "loss": 1.0973,
+      "step": 80
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.112125162972621e-06,
+      "loss": 1.1292,
+      "step": 81
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.138200782268579e-06,
+      "loss": 1.0976,
+      "step": 82
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.1642764015645373e-06,
+      "loss": 1.284,
+      "step": 83
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.1903520208604955e-06,
+      "loss": 1.3538,
+      "step": 84
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.2164276401564537e-06,
+      "loss": 1.2073,
+      "step": 85
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.242503259452412e-06,
+      "loss": 1.1815,
+      "step": 86
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.2685788787483706e-06,
+      "loss": 1.2244,
+      "step": 87
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.2946544980443288e-06,
+      "loss": 1.3015,
+      "step": 88
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.320730117340287e-06,
+      "loss": 1.1357,
+      "step": 89
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.3468057366362456e-06,
+      "loss": 1.1641,
+      "step": 90
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.372881355932204e-06,
+      "loss": 1.1704,
+      "step": 91
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.398956975228162e-06,
+      "loss": 1.3164,
+      "step": 92
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.42503259452412e-06,
+      "loss": 1.1257,
+      "step": 93
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.4511082138200784e-06,
+      "loss": 1.085,
+      "step": 94
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.4771838331160366e-06,
+      "loss": 1.0483,
+      "step": 95
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.5032594524119952e-06,
+      "loss": 1.185,
+      "step": 96
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.5293350717079534e-06,
+      "loss": 1.3453,
+      "step": 97
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.5554106910039117e-06,
+      "loss": 1.1152,
+      "step": 98
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.58148631029987e-06,
+      "loss": 1.1683,
+      "step": 99
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.607561929595828e-06,
+      "loss": 1.2986,
+      "step": 100
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.6336375488917863e-06,
+      "loss": 1.2038,
+      "step": 101
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.659713168187745e-06,
+      "loss": 1.1557,
+      "step": 102
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.685788787483703e-06,
+      "loss": 1.1987,
+      "step": 103
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.7118644067796613e-06,
+      "loss": 1.1406,
+      "step": 104
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.7379400260756195e-06,
+      "loss": 1.2421,
+      "step": 105
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.7640156453715777e-06,
+      "loss": 1.115,
+      "step": 106
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.790091264667536e-06,
+      "loss": 1.1116,
+      "step": 107
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.816166883963494e-06,
+      "loss": 1.1521,
+      "step": 108
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.8422425032594523e-06,
+      "loss": 1.147,
+      "step": 109
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.868318122555411e-06,
+      "loss": 1.2231,
+      "step": 110
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.894393741851369e-06,
+      "loss": 1.1465,
+      "step": 111
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.9204693611473274e-06,
+      "loss": 1.0351,
+      "step": 112
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.9465449804432856e-06,
+      "loss": 1.0904,
+      "step": 113
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.9726205997392438e-06,
+      "loss": 1.2808,
+      "step": 114
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.9986962190352024e-06,
+      "loss": 1.1764,
+      "step": 115
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.024771838331161e-06,
+      "loss": 1.1561,
+      "step": 116
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.0508474576271192e-06,
+      "loss": 1.1295,
+      "step": 117
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.0769230769230774e-06,
+      "loss": 1.1356,
+      "step": 118
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.1029986962190356e-06,
+      "loss": 1.055,
+      "step": 119
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.129074315514994e-06,
+      "loss": 1.2227,
+      "step": 120
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.155149934810952e-06,
+      "loss": 1.1723,
+      "step": 121
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.1812255541069103e-06,
+      "loss": 1.0573,
+      "step": 122
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.2073011734028685e-06,
+      "loss": 1.1221,
+      "step": 123
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.2333767926988267e-06,
+      "loss": 1.1554,
+      "step": 124
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.2594524119947853e-06,
+      "loss": 1.1781,
+      "step": 125
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.2855280312907435e-06,
+      "loss": 1.4372,
+      "step": 126
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.3116036505867017e-06,
+      "loss": 1.1458,
+      "step": 127
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.33767926988266e-06,
+      "loss": 1.1467,
+      "step": 128
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.363754889178618e-06,
+      "loss": 1.0566,
+      "step": 129
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.3898305084745763e-06,
+      "loss": 0.9942,
+      "step": 130
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.4159061277705345e-06,
+      "loss": 1.3295,
+      "step": 131
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.4419817470664927e-06,
+      "loss": 1.2125,
+      "step": 132
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.4680573663624513e-06,
+      "loss": 1.1333,
+      "step": 133
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.4941329856584096e-06,
+      "loss": 1.1898,
+      "step": 134
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.520208604954368e-06,
+      "loss": 1.0867,
+      "step": 135
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.5462842242503264e-06,
+      "loss": 1.1547,
+      "step": 136
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.5723598435462846e-06,
+      "loss": 1.0913,
+      "step": 137
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.598435462842243e-06,
+      "loss": 1.1558,
+      "step": 138
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.6245110821382014e-06,
+      "loss": 1.0654,
+      "step": 139
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.6505867014341596e-06,
+      "loss": 1.1355,
+      "step": 140
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.676662320730118e-06,
+      "loss": 1.0721,
+      "step": 141
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.702737940026076e-06,
+      "loss": 1.1922,
+      "step": 142
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.7288135593220342e-06,
+      "loss": 1.0433,
+      "step": 143
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.7548891786179924e-06,
+      "loss": 1.1934,
+      "step": 144
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.7809647979139506e-06,
+      "loss": 1.198,
+      "step": 145
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.807040417209909e-06,
+      "loss": 1.173,
+      "step": 146
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.8331160365058675e-06,
+      "loss": 1.0869,
+      "step": 147
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.859191655801825e-06,
+      "loss": 1.0795,
+      "step": 148
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.885267275097784e-06,
+      "loss": 1.1295,
+      "step": 149
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.911342894393742e-06,
+      "loss": 1.0634,
+      "step": 150
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.9374185136897e-06,
+      "loss": 1.2345,
+      "step": 151
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.963494132985659e-06,
+      "loss": 1.1344,
+      "step": 152
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.989569752281617e-06,
+      "loss": 1.0432,
+      "step": 153
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.015645371577575e-06,
+      "loss": 1.0023,
+      "step": 154
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.041720990873533e-06,
+      "loss": 1.1019,
+      "step": 155
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.067796610169492e-06,
+      "loss": 1.2715,
+      "step": 156
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.09387222946545e-06,
+      "loss": 1.1724,
+      "step": 157
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.119947848761409e-06,
+      "loss": 1.1282,
+      "step": 158
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.146023468057367e-06,
+      "loss": 1.1898,
+      "step": 159
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.172099087353325e-06,
+      "loss": 1.046,
+      "step": 160
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.198174706649283e-06,
+      "loss": 1.0061,
+      "step": 161
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.224250325945242e-06,
+      "loss": 1.1105,
+      "step": 162
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.2503259452412e-06,
+      "loss": 0.9769,
+      "step": 163
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.276401564537158e-06,
+      "loss": 1.2144,
+      "step": 164
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.302477183833116e-06,
+      "loss": 0.9571,
+      "step": 165
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.328552803129075e-06,
+      "loss": 1.1162,
+      "step": 166
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.354628422425033e-06,
+      "loss": 1.0286,
+      "step": 167
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.380704041720991e-06,
+      "loss": 1.1326,
+      "step": 168
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.40677966101695e-06,
+      "loss": 1.1398,
+      "step": 169
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.4328552803129075e-06,
+      "loss": 1.0062,
+      "step": 170
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.458930899608866e-06,
+      "loss": 1.105,
+      "step": 171
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.485006518904824e-06,
+      "loss": 1.118,
+      "step": 172
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.5110821382007825e-06,
+      "loss": 1.0002,
+      "step": 173
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.537157757496741e-06,
+      "loss": 1.0089,
+      "step": 174
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.563233376792699e-06,
+      "loss": 1.0899,
+      "step": 175
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.5893089960886575e-06,
+      "loss": 1.1361,
+      "step": 176
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.615384615384616e-06,
+      "loss": 1.0654,
+      "step": 177
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.641460234680574e-06,
+      "loss": 1.0561,
+      "step": 178
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.6675358539765326e-06,
+      "loss": 1.29,
+      "step": 179
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.693611473272491e-06,
+      "loss": 1.0662,
+      "step": 180
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.719687092568449e-06,
+      "loss": 1.1006,
+      "step": 181
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.745762711864408e-06,
+      "loss": 1.1569,
+      "step": 182
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.771838331160365e-06,
+      "loss": 1.0978,
+      "step": 183
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.797913950456324e-06,
+      "loss": 1.1688,
+      "step": 184
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.823989569752282e-06,
+      "loss": 1.1763,
+      "step": 185
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.85006518904824e-06,
+      "loss": 1.0183,
+      "step": 186
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.876140808344198e-06,
+      "loss": 1.074,
+      "step": 187
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.902216427640157e-06,
+      "loss": 1.1703,
+      "step": 188
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.9282920469361155e-06,
+      "loss": 1.01,
+      "step": 189
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.954367666232073e-06,
+      "loss": 1.0836,
+      "step": 190
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.980443285528032e-06,
+      "loss": 1.0067,
+      "step": 191
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.0065189048239905e-06,
+      "loss": 1.0228,
+      "step": 192
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.032594524119948e-06,
+      "loss": 1.0892,
+      "step": 193
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.058670143415907e-06,
+      "loss": 1.1821,
+      "step": 194
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.084745762711865e-06,
+      "loss": 0.9752,
+      "step": 195
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.110821382007823e-06,
+      "loss": 1.1271,
+      "step": 196
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.136897001303781e-06,
+      "loss": 1.1775,
+      "step": 197
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.16297262059974e-06,
+      "loss": 1.1751,
+      "step": 198
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.1890482398956975e-06,
+      "loss": 1.2635,
+      "step": 199
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.215123859191656e-06,
+      "loss": 1.0617,
+      "step": 200
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.241199478487614e-06,
+      "loss": 1.1608,
+      "step": 201
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.2672750977835725e-06,
+      "loss": 1.2642,
+      "step": 202
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.29335071707953e-06,
+      "loss": 1.1404,
+      "step": 203
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.31942633637549e-06,
+      "loss": 1.1572,
+      "step": 204
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.345501955671447e-06,
+      "loss": 1.0898,
+      "step": 205
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.371577574967406e-06,
+      "loss": 1.0001,
+      "step": 206
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.397653194263364e-06,
+      "loss": 1.1243,
+      "step": 207
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.423728813559323e-06,
+      "loss": 1.155,
+      "step": 208
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.449804432855281e-06,
+      "loss": 0.979,
+      "step": 209
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.475880052151239e-06,
+      "loss": 1.2017,
+      "step": 210
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.501955671447198e-06,
+      "loss": 1.0972,
+      "step": 211
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.5280312907431554e-06,
+      "loss": 1.1458,
+      "step": 212
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.554106910039114e-06,
+      "loss": 1.1617,
+      "step": 213
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.580182529335072e-06,
+      "loss": 1.2064,
+      "step": 214
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.6062581486310305e-06,
+      "loss": 1.08,
+      "step": 215
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.632333767926988e-06,
+      "loss": 1.1329,
+      "step": 216
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.658409387222948e-06,
+      "loss": 1.1697,
+      "step": 217
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.684485006518905e-06,
+      "loss": 1.0389,
+      "step": 218
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.710560625814864e-06,
+      "loss": 1.1656,
+      "step": 219
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.736636245110822e-06,
+      "loss": 1.0624,
+      "step": 220
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.7627118644067805e-06,
+      "loss": 1.0602,
+      "step": 221
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.788787483702738e-06,
+      "loss": 1.0139,
+      "step": 222
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.814863102998697e-06,
+      "loss": 1.1263,
+      "step": 223
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.840938722294655e-06,
+      "loss": 0.9248,
+      "step": 224
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.867014341590613e-06,
+      "loss": 0.9934,
+      "step": 225
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.893089960886571e-06,
+      "loss": 1.1297,
+      "step": 226
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.91916558018253e-06,
+      "loss": 1.1545,
+      "step": 227
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.9452411994784875e-06,
+      "loss": 1.0968,
+      "step": 228
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.971316818774446e-06,
+      "loss": 1.0647,
+      "step": 229
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.997392438070405e-06,
+      "loss": 0.9786,
+      "step": 230
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.023468057366363e-06,
+      "loss": 0.923,
+      "step": 231
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.049543676662322e-06,
+      "loss": 0.9702,
+      "step": 232
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.075619295958279e-06,
+      "loss": 1.0219,
+      "step": 233
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.1016949152542385e-06,
+      "loss": 0.9948,
+      "step": 234
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.127770534550196e-06,
+      "loss": 1.1295,
+      "step": 235
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.153846153846155e-06,
+      "loss": 1.0266,
+      "step": 236
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.179921773142113e-06,
+      "loss": 1.0309,
+      "step": 237
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.205997392438071e-06,
+      "loss": 1.0458,
+      "step": 238
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.232073011734029e-06,
+      "loss": 1.1476,
+      "step": 239
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.258148631029988e-06,
+      "loss": 1.048,
+      "step": 240
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.2842242503259455e-06,
+      "loss": 1.1042,
+      "step": 241
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.310299869621904e-06,
+      "loss": 1.1085,
+      "step": 242
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.336375488917862e-06,
+      "loss": 1.1395,
+      "step": 243
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.3624511082138205e-06,
+      "loss": 1.1553,
+      "step": 244
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.388526727509778e-06,
+      "loss": 1.2086,
+      "step": 245
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.414602346805737e-06,
+      "loss": 1.0995,
+      "step": 246
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.440677966101695e-06,
+      "loss": 1.0342,
+      "step": 247
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.466753585397653e-06,
+      "loss": 1.0807,
+      "step": 248
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.492829204693613e-06,
+      "loss": 1.0362,
+      "step": 249
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.518904823989571e-06,
+      "loss": 1.034,
+      "step": 250
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.544980443285529e-06,
+      "loss": 0.9598,
+      "step": 251
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.571056062581487e-06,
+      "loss": 1.1528,
+      "step": 252
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.597131681877446e-06,
+      "loss": 1.1581,
+      "step": 253
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.623207301173403e-06,
+      "loss": 1.0541,
+      "step": 254
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.649282920469362e-06,
+      "loss": 0.9322,
+      "step": 255
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.67535853976532e-06,
+      "loss": 1.0961,
+      "step": 256
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.7014341590612784e-06,
+      "loss": 1.0145,
+      "step": 257
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.727509778357236e-06,
+      "loss": 1.0787,
+      "step": 258
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.753585397653195e-06,
+      "loss": 0.9789,
+      "step": 259
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.779661016949153e-06,
+      "loss": 1.118,
+      "step": 260
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.805736636245111e-06,
+      "loss": 1.1104,
+      "step": 261
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.831812255541069e-06,
+      "loss": 1.051,
+      "step": 262
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.8578878748370285e-06,
+      "loss": 1.0012,
+      "step": 263
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.8839634941329854e-06,
+      "loss": 1.0275,
+      "step": 264
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.910039113428945e-06,
+      "loss": 1.0564,
+      "step": 265
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.936114732724903e-06,
+      "loss": 1.0484,
+      "step": 266
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.962190352020861e-06,
+      "loss": 1.0007,
+      "step": 267
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.988265971316819e-06,
+      "loss": 1.0992,
+      "step": 268
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.014341590612778e-06,
+      "loss": 1.0986,
+      "step": 269
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.040417209908736e-06,
+      "loss": 1.0456,
+      "step": 270
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.066492829204694e-06,
+      "loss": 0.9181,
+      "step": 271
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.092568448500653e-06,
+      "loss": 1.1253,
+      "step": 272
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.1186440677966106e-06,
+      "loss": 1.0798,
+      "step": 273
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.144719687092569e-06,
+      "loss": 1.185,
+      "step": 274
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.170795306388527e-06,
+      "loss": 0.9551,
+      "step": 275
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.196870925684486e-06,
+      "loss": 1.1086,
+      "step": 276
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.222946544980443e-06,
+      "loss": 1.0839,
+      "step": 277
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.249022164276403e-06,
+      "loss": 1.0572,
+      "step": 278
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.27509778357236e-06,
+      "loss": 0.9358,
+      "step": 279
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.301173402868319e-06,
+      "loss": 1.1297,
+      "step": 280
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.327249022164277e-06,
+      "loss": 1.1078,
+      "step": 281
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.353324641460236e-06,
+      "loss": 1.0154,
+      "step": 282
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.3794002607561934e-06,
+      "loss": 0.9009,
+      "step": 283
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.405475880052152e-06,
+      "loss": 1.0883,
+      "step": 284
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.43155149934811e-06,
+      "loss": 1.1526,
+      "step": 285
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.4576271186440685e-06,
+      "loss": 1.0519,
+      "step": 286
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.483702737940026e-06,
+      "loss": 0.9122,
+      "step": 287
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.509778357235985e-06,
+      "loss": 1.0513,
+      "step": 288
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.535853976531943e-06,
+      "loss": 0.9766,
+      "step": 289
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.561929595827901e-06,
+      "loss": 1.039,
+      "step": 290
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.58800521512386e-06,
+      "loss": 0.9484,
+      "step": 291
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.614080834419818e-06,
+      "loss": 0.9615,
+      "step": 292
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.640156453715776e-06,
+      "loss": 1.1042,
+      "step": 293
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.666232073011735e-06,
+      "loss": 1.0933,
+      "step": 294
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.692307692307694e-06,
+      "loss": 1.0151,
+      "step": 295
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.71838331160365e-06,
+      "loss": 1.0123,
+      "step": 296
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.744458930899609e-06,
+      "loss": 1.0514,
+      "step": 297
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.770534550195568e-06,
+      "loss": 1.1079,
+      "step": 298
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.796610169491526e-06,
+      "loss": 1.0001,
+      "step": 299
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.822685788787483e-06,
+      "loss": 1.117,
+      "step": 300
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.848761408083444e-06,
+      "loss": 1.061,
+      "step": 301
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.8748370273794e-06,
+      "loss": 1.0378,
+      "step": 302
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.90091264667536e-06,
+      "loss": 1.0042,
+      "step": 303
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.926988265971318e-06,
+      "loss": 1.1935,
+      "step": 304
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.953063885267276e-06,
+      "loss": 0.988,
+      "step": 305
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.979139504563233e-06,
+      "loss": 0.9828,
+      "step": 306
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.005215123859192e-06,
+      "loss": 0.9562,
+      "step": 307
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.03129074315515e-06,
+      "loss": 1.214,
+      "step": 308
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.05736636245111e-06,
+      "loss": 1.1759,
+      "step": 309
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.083441981747066e-06,
+      "loss": 0.9802,
+      "step": 310
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.109517601043025e-06,
+      "loss": 1.0782,
+      "step": 311
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.135593220338983e-06,
+      "loss": 0.8891,
+      "step": 312
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.161668839634942e-06,
+      "loss": 1.0399,
+      "step": 313
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.1877444589309e-06,
+      "loss": 1.0712,
+      "step": 314
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.213820078226858e-06,
+      "loss": 1.116,
+      "step": 315
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.239895697522818e-06,
+      "loss": 1.0289,
+      "step": 316
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.265971316818775e-06,
+      "loss": 0.9811,
+      "step": 317
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.292046936114734e-06,
+      "loss": 0.9901,
+      "step": 318
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.318122555410692e-06,
+      "loss": 0.9443,
+      "step": 319
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.34419817470665e-06,
+      "loss": 1.0959,
+      "step": 320
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.370273794002608e-06,
+      "loss": 1.1587,
+      "step": 321
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.396349413298566e-06,
+      "loss": 1.0677,
+      "step": 322
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.422425032594525e-06,
+      "loss": 1.1799,
+      "step": 323
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.448500651890484e-06,
+      "loss": 0.9382,
+      "step": 324
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.47457627118644e-06,
+      "loss": 1.1273,
+      "step": 325
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.5006518904824e-06,
+      "loss": 1.045,
+      "step": 326
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.526727509778358e-06,
+      "loss": 0.9565,
+      "step": 327
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.552803129074316e-06,
+      "loss": 1.045,
+      "step": 328
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.578878748370273e-06,
+      "loss": 1.2028,
+      "step": 329
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.604954367666232e-06,
+      "loss": 1.0251,
+      "step": 330
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.63102998696219e-06,
+      "loss": 0.9285,
+      "step": 331
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.65710560625815e-06,
+      "loss": 1.0767,
+      "step": 332
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.683181225554108e-06,
+      "loss": 1.0031,
+      "step": 333
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.709256844850067e-06,
+      "loss": 0.9691,
+      "step": 334
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.735332464146025e-06,
+      "loss": 1.0132,
+      "step": 335
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.761408083441982e-06,
+      "loss": 1.0102,
+      "step": 336
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.78748370273794e-06,
+      "loss": 0.9497,
+      "step": 337
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.8135593220339e-06,
+      "loss": 0.9647,
+      "step": 338
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.839634941329858e-06,
+      "loss": 1.0752,
+      "step": 339
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.865710560625815e-06,
+      "loss": 1.0424,
+      "step": 340
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.891786179921774e-06,
+      "loss": 1.0872,
+      "step": 341
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.917861799217732e-06,
+      "loss": 0.9882,
+      "step": 342
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.94393741851369e-06,
+      "loss": 1.0327,
+      "step": 343
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.970013037809648e-06,
+      "loss": 1.1472,
+      "step": 344
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.996088657105606e-06,
+      "loss": 0.9528,
+      "step": 345
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.022164276401565e-06,
+      "loss": 1.1642,
+      "step": 346
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.048239895697524e-06,
+      "loss": 0.9127,
+      "step": 347
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.074315514993482e-06,
+      "loss": 1.016,
+      "step": 348
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.100391134289441e-06,
+      "loss": 0.9399,
+      "step": 349
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.126466753585398e-06,
+      "loss": 1.029,
+      "step": 350
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.152542372881356e-06,
+      "loss": 0.9498,
+      "step": 351
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.178617992177315e-06,
+      "loss": 1.0451,
+      "step": 352
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.204693611473274e-06,
+      "loss": 0.9717,
+      "step": 353
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.230769230769232e-06,
+      "loss": 1.0194,
+      "step": 354
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.25684485006519e-06,
+      "loss": 1.1517,
+      "step": 355
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.282920469361148e-06,
+      "loss": 1.0374,
+      "step": 356
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.308996088657106e-06,
+      "loss": 1.0683,
+      "step": 357
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.335071707953065e-06,
+      "loss": 1.0251,
+      "step": 358
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.361147327249022e-06,
+      "loss": 1.04,
+      "step": 359
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.387222946544982e-06,
+      "loss": 1.1366,
+      "step": 360
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.41329856584094e-06,
+      "loss": 1.0996,
+      "step": 361
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.439374185136898e-06,
+      "loss": 1.0492,
+      "step": 362
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.465449804432857e-06,
+      "loss": 1.0442,
+      "step": 363
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.491525423728815e-06,
+      "loss": 0.9934,
+      "step": 364
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.517601043024772e-06,
+      "loss": 1.0636,
+      "step": 365
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.54367666232073e-06,
+      "loss": 1.0087,
+      "step": 366
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.56975228161669e-06,
+      "loss": 0.9706,
+      "step": 367
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.595827900912648e-06,
+      "loss": 1.0378,
+      "step": 368
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.621903520208605e-06,
+      "loss": 1.0538,
+      "step": 369
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.647979139504564e-06,
+      "loss": 1.0131,
+      "step": 370
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.674054758800522e-06,
+      "loss": 0.9838,
+      "step": 371
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.70013037809648e-06,
+      "loss": 1.1241,
+      "step": 372
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.726205997392438e-06,
+      "loss": 1.0543,
+      "step": 373
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.752281616688396e-06,
+      "loss": 0.9596,
+      "step": 374
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.778357235984357e-06,
+      "loss": 1.0941,
+      "step": 375
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.804432855280314e-06,
+      "loss": 1.0735,
+      "step": 376
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.830508474576272e-06,
+      "loss": 1.0463,
+      "step": 377
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.856584093872231e-06,
+      "loss": 1.117,
+      "step": 378
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.88265971316819e-06,
+      "loss": 0.973,
+      "step": 379
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.908735332464146e-06,
+      "loss": 0.9423,
+      "step": 380
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.934810951760105e-06,
+      "loss": 0.9969,
+      "step": 381
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.960886571056064e-06,
+      "loss": 0.9295,
+      "step": 382
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.986962190352022e-06,
+      "loss": 0.9641,
+      "step": 383
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0013037809647981e-05,
+      "loss": 0.9951,
+      "step": 384
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0039113428943938e-05,
+      "loss": 1.0182,
+      "step": 385
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0065189048239897e-05,
+      "loss": 1.0749,
+      "step": 386
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0091264667535853e-05,
+      "loss": 1.0105,
+      "step": 387
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0117340286831814e-05,
+      "loss": 0.9096,
+      "step": 388
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.014341590612777e-05,
+      "loss": 1.016,
+      "step": 389
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.016949152542373e-05,
+      "loss": 1.017,
+      "step": 390
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0195567144719686e-05,
+      "loss": 1.0005,
+      "step": 391
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0221642764015647e-05,
+      "loss": 0.9603,
+      "step": 392
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0247718383311605e-05,
+      "loss": 1.0229,
+      "step": 393
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0273794002607562e-05,
+      "loss": 1.09,
+      "step": 394
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0299869621903522e-05,
+      "loss": 1.0062,
+      "step": 395
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.032594524119948e-05,
+      "loss": 1.0654,
+      "step": 396
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0352020860495438e-05,
+      "loss": 1.0933,
+      "step": 397
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0378096479791395e-05,
+      "loss": 0.9967,
+      "step": 398
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0404172099087355e-05,
+      "loss": 0.9818,
+      "step": 399
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0430247718383312e-05,
+      "loss": 1.14,
+      "step": 400
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0456323337679271e-05,
+      "loss": 0.9605,
+      "step": 401
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0482398956975228e-05,
+      "loss": 0.9885,
+      "step": 402
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0508474576271188e-05,
+      "loss": 0.9848,
+      "step": 403
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0534550195567145e-05,
+      "loss": 0.9726,
+      "step": 404
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0560625814863104e-05,
+      "loss": 0.9536,
+      "step": 405
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.058670143415906e-05,
+      "loss": 1.1705,
+      "step": 406
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0612777053455021e-05,
+      "loss": 1.0452,
+      "step": 407
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.063885267275098e-05,
+      "loss": 1.106,
+      "step": 408
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0664928292046937e-05,
+      "loss": 0.9922,
+      "step": 409
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0691003911342893e-05,
+      "loss": 1.1212,
+      "step": 410
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0717079530638854e-05,
+      "loss": 1.172,
+      "step": 411
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0743155149934812e-05,
+      "loss": 1.0012,
+      "step": 412
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.076923076923077e-05,
+      "loss": 0.9275,
+      "step": 413
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0795306388526728e-05,
+      "loss": 1.1399,
+      "step": 414
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0821382007822687e-05,
+      "loss": 1.0458,
+      "step": 415
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0847457627118645e-05,
+      "loss": 0.9944,
+      "step": 416
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0873533246414602e-05,
+      "loss": 0.9904,
+      "step": 417
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0899608865710562e-05,
+      "loss": 1.0861,
+      "step": 418
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.092568448500652e-05,
+      "loss": 1.0937,
+      "step": 419
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0951760104302478e-05,
+      "loss": 1.0398,
+      "step": 420
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0977835723598435e-05,
+      "loss": 0.999,
+      "step": 421
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1003911342894395e-05,
+      "loss": 0.9433,
+      "step": 422
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1029986962190354e-05,
+      "loss": 0.9196,
+      "step": 423
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1056062581486311e-05,
+      "loss": 0.9788,
+      "step": 424
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.108213820078227e-05,
+      "loss": 1.044,
+      "step": 425
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1108213820078228e-05,
+      "loss": 1.0156,
+      "step": 426
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1134289439374187e-05,
+      "loss": 0.8639,
+      "step": 427
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1160365058670144e-05,
+      "loss": 0.9486,
+      "step": 428
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1186440677966102e-05,
+      "loss": 1.1221,
+      "step": 429
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1212516297262061e-05,
+      "loss": 0.958,
+      "step": 430
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.123859191655802e-05,
+      "loss": 0.969,
+      "step": 431
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1264667535853976e-05,
+      "loss": 1.0159,
+      "step": 432
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1290743155149935e-05,
+      "loss": 1.1099,
+      "step": 433
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1316818774445895e-05,
+      "loss": 0.8418,
+      "step": 434
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1342894393741852e-05,
+      "loss": 1.0155,
+      "step": 435
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.136897001303781e-05,
+      "loss": 1.0792,
+      "step": 436
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.139504563233377e-05,
+      "loss": 1.0807,
+      "step": 437
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1421121251629728e-05,
+      "loss": 1.2034,
+      "step": 438
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1447196870925685e-05,
+      "loss": 1.1626,
+      "step": 439
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1473272490221644e-05,
+      "loss": 1.0827,
+      "step": 440
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1499348109517602e-05,
+      "loss": 1.09,
+      "step": 441
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1525423728813561e-05,
+      "loss": 1.0162,
+      "step": 442
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1551499348109518e-05,
+      "loss": 1.1218,
+      "step": 443
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1577574967405477e-05,
+      "loss": 0.985,
+      "step": 444
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1603650586701435e-05,
+      "loss": 1.1285,
+      "step": 445
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1629726205997394e-05,
+      "loss": 1.0956,
+      "step": 446
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.165580182529335e-05,
+      "loss": 0.8946,
+      "step": 447
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.168187744458931e-05,
+      "loss": 0.8431,
+      "step": 448
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.170795306388527e-05,
+      "loss": 1.0171,
+      "step": 449
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1734028683181227e-05,
+      "loss": 0.9766,
+      "step": 450
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1760104302477184e-05,
+      "loss": 1.0811,
+      "step": 451
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1786179921773142e-05,
+      "loss": 0.9815,
+      "step": 452
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1812255541069103e-05,
+      "loss": 0.9274,
+      "step": 453
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.183833116036506e-05,
+      "loss": 0.8828,
+      "step": 454
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1864406779661018e-05,
+      "loss": 1.0211,
+      "step": 455
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1890482398956975e-05,
+      "loss": 0.9849,
+      "step": 456
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1916558018252935e-05,
+      "loss": 1.0775,
+      "step": 457
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1942633637548892e-05,
+      "loss": 1.0303,
+      "step": 458
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1968709256844851e-05,
+      "loss": 0.9934,
+      "step": 459
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.199478487614081e-05,
+      "loss": 1.1092,
+      "step": 460
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2020860495436768e-05,
+      "loss": 1.0705,
+      "step": 461
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2046936114732725e-05,
+      "loss": 1.0403,
+      "step": 462
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2073011734028684e-05,
+      "loss": 1.0228,
+      "step": 463
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2099087353324644e-05,
+      "loss": 1.0602,
+      "step": 464
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2125162972620601e-05,
+      "loss": 0.9638,
+      "step": 465
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2151238591916558e-05,
+      "loss": 1.0551,
+      "step": 466
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2177314211212517e-05,
+      "loss": 1.041,
+      "step": 467
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2203389830508477e-05,
+      "loss": 0.9642,
+      "step": 468
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2229465449804434e-05,
+      "loss": 0.9805,
+      "step": 469
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2255541069100392e-05,
+      "loss": 0.9993,
+      "step": 470
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.228161668839635e-05,
+      "loss": 1.0703,
+      "step": 471
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.230769230769231e-05,
+      "loss": 1.0869,
+      "step": 472
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2333767926988267e-05,
+      "loss": 0.897,
+      "step": 473
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2359843546284225e-05,
+      "loss": 0.8828,
+      "step": 474
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2385919165580182e-05,
+      "loss": 0.9638,
+      "step": 475
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2411994784876143e-05,
+      "loss": 1.1263,
+      "step": 476
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.24380704041721e-05,
+      "loss": 1.0418,
+      "step": 477
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2464146023468058e-05,
+      "loss": 1.0097,
+      "step": 478
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2490221642764018e-05,
+      "loss": 1.1007,
+      "step": 479
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2516297262059975e-05,
+      "loss": 1.0476,
+      "step": 480
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2542372881355932e-05,
+      "loss": 1.1332,
+      "step": 481
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2568448500651891e-05,
+      "loss": 0.942,
+      "step": 482
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2594524119947851e-05,
+      "loss": 1.0609,
+      "step": 483
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2620599739243808e-05,
+      "loss": 1.0553,
+      "step": 484
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2646675358539767e-05,
+      "loss": 0.9877,
+      "step": 485
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2672750977835724e-05,
+      "loss": 0.9994,
+      "step": 486
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2698826597131684e-05,
+      "loss": 1.0151,
+      "step": 487
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2724902216427641e-05,
+      "loss": 0.8812,
+      "step": 488
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.27509778357236e-05,
+      "loss": 1.0724,
+      "step": 489
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2777053455019557e-05,
+      "loss": 1.1058,
+      "step": 490
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2803129074315517e-05,
+      "loss": 0.9868,
+      "step": 491
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2829204693611474e-05,
+      "loss": 1.012,
+      "step": 492
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2855280312907432e-05,
+      "loss": 0.9207,
+      "step": 493
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.288135593220339e-05,
+      "loss": 0.9619,
+      "step": 494
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.290743155149935e-05,
+      "loss": 1.0615,
+      "step": 495
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2933507170795307e-05,
+      "loss": 1.1633,
+      "step": 496
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2959582790091265e-05,
+      "loss": 0.8925,
+      "step": 497
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2985658409387226e-05,
+      "loss": 1.037,
+      "step": 498
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3011734028683183e-05,
+      "loss": 0.9359,
+      "step": 499
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3037809647979141e-05,
+      "loss": 1.0431,
+      "step": 500
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3063885267275098e-05,
+      "loss": 0.9437,
+      "step": 501
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3089960886571058e-05,
+      "loss": 1.0908,
+      "step": 502
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3116036505867015e-05,
+      "loss": 0.9625,
+      "step": 503
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3142112125162974e-05,
+      "loss": 0.9784,
+      "step": 504
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3168187744458931e-05,
+      "loss": 1.0178,
+      "step": 505
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3194263363754891e-05,
+      "loss": 0.9818,
+      "step": 506
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3220338983050848e-05,
+      "loss": 0.9926,
+      "step": 507
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3246414602346807e-05,
+      "loss": 1.1529,
+      "step": 508
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3272490221642764e-05,
+      "loss": 1.0355,
+      "step": 509
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3298565840938724e-05,
+      "loss": 1.128,
+      "step": 510
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3324641460234683e-05,
+      "loss": 1.0382,
+      "step": 511
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.335071707953064e-05,
+      "loss": 1.0121,
+      "step": 512
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3376792698826597e-05,
+      "loss": 1.1657,
+      "step": 513
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3402868318122557e-05,
+      "loss": 1.0887,
+      "step": 514
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3428943937418515e-05,
+      "loss": 1.03,
+      "step": 515
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3455019556714472e-05,
+      "loss": 1.0547,
+      "step": 516
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3481095176010431e-05,
+      "loss": 1.0532,
+      "step": 517
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.350717079530639e-05,
+      "loss": 1.1566,
+      "step": 518
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3533246414602348e-05,
+      "loss": 1.1363,
+      "step": 519
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3559322033898305e-05,
+      "loss": 1.1189,
+      "step": 520
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3585397653194266e-05,
+      "loss": 0.8935,
+      "step": 521
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3611473272490223e-05,
+      "loss": 1.11,
+      "step": 522
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3637548891786181e-05,
+      "loss": 1.1757,
+      "step": 523
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3663624511082138e-05,
+      "loss": 0.983,
+      "step": 524
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3689700130378098e-05,
+      "loss": 1.0015,
+      "step": 525
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3715775749674057e-05,
+      "loss": 1.0623,
+      "step": 526
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3741851368970014e-05,
+      "loss": 0.9996,
+      "step": 527
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3767926988265971e-05,
+      "loss": 0.9967,
+      "step": 528
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3794002607561931e-05,
+      "loss": 0.8766,
+      "step": 529
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.382007822685789e-05,
+      "loss": 1.0682,
+      "step": 530
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3846153846153847e-05,
+      "loss": 1.0087,
+      "step": 531
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3872229465449805e-05,
+      "loss": 1.1145,
+      "step": 532
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3898305084745764e-05,
+      "loss": 0.9332,
+      "step": 533
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3924380704041723e-05,
+      "loss": 1.0191,
+      "step": 534
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.395045632333768e-05,
+      "loss": 1.1257,
+      "step": 535
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3976531942633638e-05,
+      "loss": 1.1498,
+      "step": 536
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4002607561929597e-05,
+      "loss": 1.1088,
+      "step": 537
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4028683181225555e-05,
+      "loss": 1.1348,
+      "step": 538
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4054758800521512e-05,
+      "loss": 0.9109,
+      "step": 539
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4080834419817473e-05,
+      "loss": 1.079,
+      "step": 540
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4106910039113431e-05,
+      "loss": 1.0062,
+      "step": 541
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4132985658409388e-05,
+      "loss": 1.0578,
+      "step": 542
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4159061277705345e-05,
+      "loss": 0.9998,
+      "step": 543
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4185136897001306e-05,
+      "loss": 0.9695,
+      "step": 544
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4211212516297264e-05,
+      "loss": 1.129,
+      "step": 545
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4237288135593221e-05,
+      "loss": 1.1452,
+      "step": 546
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.426336375488918e-05,
+      "loss": 0.9497,
+      "step": 547
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4289439374185138e-05,
+      "loss": 1.1214,
+      "step": 548
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4315514993481097e-05,
+      "loss": 1.0867,
+      "step": 549
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4341590612777054e-05,
+      "loss": 1.021,
+      "step": 550
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4367666232073013e-05,
+      "loss": 1.1021,
+      "step": 551
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4393741851368971e-05,
+      "loss": 1.2167,
+      "step": 552
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.441981747066493e-05,
+      "loss": 1.0457,
+      "step": 553
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4445893089960887e-05,
+      "loss": 1.0123,
+      "step": 554
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4471968709256845e-05,
+      "loss": 1.0435,
+      "step": 555
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4498044328552806e-05,
+      "loss": 0.9806,
+      "step": 556
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4524119947848763e-05,
+      "loss": 1.0899,
+      "step": 557
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.455019556714472e-05,
+      "loss": 1.0286,
+      "step": 558
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4576271186440678e-05,
+      "loss": 1.0644,
+      "step": 559
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4602346805736639e-05,
+      "loss": 1.1196,
+      "step": 560
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4628422425032595e-05,
+      "loss": 0.9122,
+      "step": 561
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4654498044328554e-05,
+      "loss": 0.9389,
+      "step": 562
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4680573663624513e-05,
+      "loss": 1.0779,
+      "step": 563
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4706649282920471e-05,
+      "loss": 1.0705,
+      "step": 564
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4732724902216428e-05,
+      "loss": 1.0168,
+      "step": 565
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4758800521512387e-05,
+      "loss": 1.0319,
+      "step": 566
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4784876140808346e-05,
+      "loss": 1.0925,
+      "step": 567
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4810951760104304e-05,
+      "loss": 1.1226,
+      "step": 568
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4837027379400261e-05,
+      "loss": 1.1815,
+      "step": 569
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.486310299869622e-05,
+      "loss": 1.0362,
+      "step": 570
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.488917861799218e-05,
+      "loss": 1.0011,
+      "step": 571
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4915254237288137e-05,
+      "loss": 1.1246,
+      "step": 572
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4941329856584096e-05,
+      "loss": 1.1057,
+      "step": 573
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4967405475880053e-05,
+      "loss": 1.034,
+      "step": 574
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4993481095176013e-05,
+      "loss": 1.0043,
+      "step": 575
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.501955671447197e-05,
+      "loss": 0.9086,
+      "step": 576
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5045632333767928e-05,
+      "loss": 1.0822,
+      "step": 577
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5071707953063885e-05,
+      "loss": 1.0607,
+      "step": 578
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5097783572359846e-05,
+      "loss": 1.2199,
+      "step": 579
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5123859191655803e-05,
+      "loss": 1.157,
+      "step": 580
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5149934810951761e-05,
+      "loss": 0.9909,
+      "step": 581
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.517601043024772e-05,
+      "loss": 1.0623,
+      "step": 582
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5202086049543678e-05,
+      "loss": 1.0599,
+      "step": 583
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5228161668839635e-05,
+      "loss": 1.0095,
+      "step": 584
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5254237288135594e-05,
+      "loss": 0.9865,
+      "step": 585
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5280312907431553e-05,
+      "loss": 0.88,
+      "step": 586
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5306388526727513e-05,
+      "loss": 1.0443,
+      "step": 587
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.533246414602347e-05,
+      "loss": 1.076,
+      "step": 588
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5358539765319427e-05,
+      "loss": 0.9732,
+      "step": 589
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5384615384615387e-05,
+      "loss": 0.7805,
+      "step": 590
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5410691003911344e-05,
+      "loss": 0.95,
+      "step": 591
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.54367666232073e-05,
+      "loss": 1.1638,
+      "step": 592
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.546284224250326e-05,
+      "loss": 1.2067,
+      "step": 593
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5488917861799218e-05,
+      "loss": 1.0546,
+      "step": 594
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.551499348109518e-05,
+      "loss": 0.9048,
+      "step": 595
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5541069100391136e-05,
+      "loss": 0.946,
+      "step": 596
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5567144719687092e-05,
+      "loss": 1.0949,
+      "step": 597
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5593220338983053e-05,
+      "loss": 1.0159,
+      "step": 598
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.561929595827901e-05,
+      "loss": 1.1011,
+      "step": 599
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5645371577574967e-05,
+      "loss": 1.0144,
+      "step": 600
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5671447196870927e-05,
+      "loss": 1.0497,
+      "step": 601
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5697522816166887e-05,
+      "loss": 1.1282,
+      "step": 602
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5723598435462844e-05,
+      "loss": 1.0167,
+      "step": 603
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.57496740547588e-05,
+      "loss": 0.9971,
+      "step": 604
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.577574967405476e-05,
+      "loss": 1.1872,
+      "step": 605
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.580182529335072e-05,
+      "loss": 1.0557,
+      "step": 606
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5827900912646675e-05,
+      "loss": 0.8587,
+      "step": 607
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5853976531942636e-05,
+      "loss": 0.9994,
+      "step": 608
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5880052151238593e-05,
+      "loss": 1.1531,
+      "step": 609
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5906127770534553e-05,
+      "loss": 1.1046,
+      "step": 610
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.593220338983051e-05,
+      "loss": 1.0795,
+      "step": 611
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5958279009126467e-05,
+      "loss": 1.0455,
+      "step": 612
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5984354628422427e-05,
+      "loss": 1.0645,
+      "step": 613
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6010430247718384e-05,
+      "loss": 0.9572,
+      "step": 614
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.603650586701434e-05,
+      "loss": 1.0786,
+      "step": 615
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.60625814863103e-05,
+      "loss": 1.0363,
+      "step": 616
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.608865710560626e-05,
+      "loss": 1.0019,
+      "step": 617
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.611473272490222e-05,
+      "loss": 0.9816,
+      "step": 618
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6140808344198176e-05,
+      "loss": 1.0057,
+      "step": 619
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6166883963494132e-05,
+      "loss": 0.9916,
+      "step": 620
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6192959582790093e-05,
+      "loss": 0.9248,
+      "step": 621
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.621903520208605e-05,
+      "loss": 0.8843,
+      "step": 622
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.624511082138201e-05,
+      "loss": 1.0211,
+      "step": 623
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6271186440677967e-05,
+      "loss": 0.9378,
+      "step": 624
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6297262059973927e-05,
+      "loss": 0.9473,
+      "step": 625
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6323337679269884e-05,
+      "loss": 1.0933,
+      "step": 626
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.634941329856584e-05,
+      "loss": 0.9072,
+      "step": 627
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.63754889178618e-05,
+      "loss": 1.0337,
+      "step": 628
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.640156453715776e-05,
+      "loss": 1.0688,
+      "step": 629
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6427640156453715e-05,
+      "loss": 0.8628,
+      "step": 630
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6453715775749676e-05,
+      "loss": 1.0797,
+      "step": 631
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6479791395045636e-05,
+      "loss": 1.0625,
+      "step": 632
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6505867014341593e-05,
+      "loss": 1.1371,
+      "step": 633
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.653194263363755e-05,
+      "loss": 1.0704,
+      "step": 634
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6558018252933507e-05,
+      "loss": 0.9726,
+      "step": 635
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6584093872229467e-05,
+      "loss": 1.1481,
+      "step": 636
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6610169491525424e-05,
+      "loss": 1.0404,
+      "step": 637
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6636245110821384e-05,
+      "loss": 1.0773,
+      "step": 638
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.666232073011734e-05,
+      "loss": 1.0961,
+      "step": 639
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.66883963494133e-05,
+      "loss": 1.0137,
+      "step": 640
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.671447196870926e-05,
+      "loss": 1.0216,
+      "step": 641
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.6740547588005215e-05,
+      "loss": 1.0831,
+      "step": 642
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.6766623207301176e-05,
+      "loss": 1.1819,
+      "step": 643
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.6792698826597133e-05,
+      "loss": 0.9797,
+      "step": 644
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.681877444589309e-05,
+      "loss": 0.9363,
+      "step": 645
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.684485006518905e-05,
+      "loss": 1.0013,
+      "step": 646
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.687092568448501e-05,
+      "loss": 1.0161,
+      "step": 647
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.6897001303780967e-05,
+      "loss": 1.0753,
+      "step": 648
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.6923076923076924e-05,
+      "loss": 1.135,
+      "step": 649
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.694915254237288e-05,
+      "loss": 1.0349,
+      "step": 650
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.697522816166884e-05,
+      "loss": 1.0488,
+      "step": 651
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.70013037809648e-05,
+      "loss": 0.9618,
+      "step": 652
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.702737940026076e-05,
+      "loss": 0.965,
+      "step": 653
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7053455019556716e-05,
+      "loss": 1.2007,
+      "step": 654
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7079530638852676e-05,
+      "loss": 0.9814,
+      "step": 655
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7105606258148633e-05,
+      "loss": 1.0359,
+      "step": 656
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.713168187744459e-05,
+      "loss": 1.044,
+      "step": 657
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7157757496740547e-05,
+      "loss": 1.0344,
+      "step": 658
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7183833116036507e-05,
+      "loss": 1.1215,
+      "step": 659
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7209908735332464e-05,
+      "loss": 0.9457,
+      "step": 660
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7235984354628424e-05,
+      "loss": 0.9724,
+      "step": 661
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.726205997392438e-05,
+      "loss": 0.9982,
+      "step": 662
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.728813559322034e-05,
+      "loss": 1.1089,
+      "step": 663
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.73142112125163e-05,
+      "loss": 1.0862,
+      "step": 664
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7340286831812255e-05,
+      "loss": 1.1329,
+      "step": 665
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7366362451108216e-05,
+      "loss": 1.1469,
+      "step": 666
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7392438070404173e-05,
+      "loss": 0.9424,
+      "step": 667
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7418513689700133e-05,
+      "loss": 1.2312,
+      "step": 668
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.744458930899609e-05,
+      "loss": 1.1578,
+      "step": 669
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.747066492829205e-05,
+      "loss": 0.9946,
+      "step": 670
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7496740547588007e-05,
+      "loss": 1.0978,
+      "step": 671
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7522816166883964e-05,
+      "loss": 1.0569,
+      "step": 672
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.754889178617992e-05,
+      "loss": 0.9933,
+      "step": 673
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.757496740547588e-05,
+      "loss": 1.0895,
+      "step": 674
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.760104302477184e-05,
+      "loss": 1.0785,
+      "step": 675
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.76271186440678e-05,
+      "loss": 1.1046,
+      "step": 676
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7653194263363756e-05,
+      "loss": 0.99,
+      "step": 677
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7679269882659716e-05,
+      "loss": 0.9437,
+      "step": 678
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7705345501955673e-05,
+      "loss": 1.1125,
+      "step": 679
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.773142112125163e-05,
+      "loss": 1.2089,
+      "step": 680
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7757496740547587e-05,
+      "loss": 1.0052,
+      "step": 681
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7783572359843547e-05,
+      "loss": 0.9095,
+      "step": 682
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7809647979139507e-05,
+      "loss": 1.0636,
+      "step": 683
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7835723598435464e-05,
+      "loss": 0.9931,
+      "step": 684
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7861799217731425e-05,
+      "loss": 1.1143,
+      "step": 685
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.788787483702738e-05,
+      "loss": 0.9361,
+      "step": 686
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.791395045632334e-05,
+      "loss": 1.1422,
+      "step": 687
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7940026075619295e-05,
+      "loss": 1.1702,
+      "step": 688
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7966101694915256e-05,
+      "loss": 0.9522,
+      "step": 689
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7992177314211213e-05,
+      "loss": 1.0721,
+      "step": 690
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8018252933507173e-05,
+      "loss": 1.0336,
+      "step": 691
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.804432855280313e-05,
+      "loss": 1.0237,
+      "step": 692
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.807040417209909e-05,
+      "loss": 0.9169,
+      "step": 693
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8096479791395047e-05,
+      "loss": 0.8669,
+      "step": 694
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8122555410691004e-05,
+      "loss": 1.0894,
+      "step": 695
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8148631029986964e-05,
+      "loss": 1.0213,
+      "step": 696
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.817470664928292e-05,
+      "loss": 0.9576,
+      "step": 697
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8200782268578882e-05,
+      "loss": 1.1385,
+      "step": 698
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.822685788787484e-05,
+      "loss": 1.0326,
+      "step": 699
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8252933507170796e-05,
+      "loss": 1.0726,
+      "step": 700
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8279009126466756e-05,
+      "loss": 1.0536,
+      "step": 701
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8305084745762713e-05,
+      "loss": 1.0919,
+      "step": 702
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.833116036505867e-05,
+      "loss": 1.1268,
+      "step": 703
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.835723598435463e-05,
+      "loss": 0.8966,
+      "step": 704
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.838331160365059e-05,
+      "loss": 1.0771,
+      "step": 705
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8409387222946547e-05,
+      "loss": 1.1071,
+      "step": 706
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8435462842242504e-05,
+      "loss": 1.0112,
+      "step": 707
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8461538461538465e-05,
+      "loss": 0.9775,
+      "step": 708
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.848761408083442e-05,
+      "loss": 0.9696,
+      "step": 709
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.851368970013038e-05,
+      "loss": 1.0856,
+      "step": 710
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.853976531942634e-05,
+      "loss": 1.0343,
+      "step": 711
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8565840938722296e-05,
+      "loss": 1.0219,
+      "step": 712
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8591916558018256e-05,
+      "loss": 0.9528,
+      "step": 713
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8617992177314213e-05,
+      "loss": 1.0956,
+      "step": 714
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.864406779661017e-05,
+      "loss": 1.0436,
+      "step": 715
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.867014341590613e-05,
+      "loss": 1.0703,
+      "step": 716
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8696219035202087e-05,
+      "loss": 0.9407,
+      "step": 717
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8722294654498044e-05,
+      "loss": 1.0861,
+      "step": 718
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8748370273794004e-05,
+      "loss": 1.0173,
+      "step": 719
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8774445893089965e-05,
+      "loss": 1.1334,
+      "step": 720
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.880052151238592e-05,
+      "loss": 0.9282,
+      "step": 721
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.882659713168188e-05,
+      "loss": 1.0254,
+      "step": 722
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8852672750977836e-05,
+      "loss": 1.0238,
+      "step": 723
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8878748370273796e-05,
+      "loss": 1.1244,
+      "step": 724
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8904823989569753e-05,
+      "loss": 0.9948,
+      "step": 725
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8930899608865713e-05,
+      "loss": 0.9367,
+      "step": 726
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.895697522816167e-05,
+      "loss": 0.9588,
+      "step": 727
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.898305084745763e-05,
+      "loss": 1.1096,
+      "step": 728
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9009126466753587e-05,
+      "loss": 1.069,
+      "step": 729
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9035202086049544e-05,
+      "loss": 1.0506,
+      "step": 730
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9061277705345505e-05,
+      "loss": 1.001,
+      "step": 731
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.908735332464146e-05,
+      "loss": 0.9838,
+      "step": 732
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.911342894393742e-05,
+      "loss": 1.096,
+      "step": 733
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.913950456323338e-05,
+      "loss": 1.0614,
+      "step": 734
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.916558018252934e-05,
+      "loss": 0.9602,
+      "step": 735
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9191655801825296e-05,
+      "loss": 1.0533,
+      "step": 736
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9217731421121253e-05,
+      "loss": 1.0568,
+      "step": 737
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.924380704041721e-05,
+      "loss": 1.044,
+      "step": 738
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.926988265971317e-05,
+      "loss": 1.1634,
+      "step": 739
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9295958279009127e-05,
+      "loss": 0.9821,
+      "step": 740
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9322033898305087e-05,
+      "loss": 1.0713,
+      "step": 741
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9348109517601044e-05,
+      "loss": 0.9991,
+      "step": 742
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9374185136897005e-05,
+      "loss": 1.0279,
+      "step": 743
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.940026075619296e-05,
+      "loss": 0.9377,
+      "step": 744
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.942633637548892e-05,
+      "loss": 0.9392,
+      "step": 745
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9452411994784876e-05,
+      "loss": 0.8939,
+      "step": 746
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9478487614080836e-05,
+      "loss": 1.0705,
+      "step": 747
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9504563233376793e-05,
+      "loss": 0.7955,
+      "step": 748
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9530638852672753e-05,
+      "loss": 0.9449,
+      "step": 749
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9556714471968713e-05,
+      "loss": 0.9966,
+      "step": 750
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.958279009126467e-05,
+      "loss": 0.9515,
+      "step": 751
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9608865710560627e-05,
+      "loss": 0.9421,
+      "step": 752
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9634941329856584e-05,
+      "loss": 1.1125,
+      "step": 753
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9661016949152545e-05,
+      "loss": 1.0685,
+      "step": 754
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.96870925684485e-05,
+      "loss": 1.0145,
+      "step": 755
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9713168187744462e-05,
+      "loss": 1.0629,
+      "step": 756
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.973924380704042e-05,
+      "loss": 1.0602,
+      "step": 757
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.976531942633638e-05,
+      "loss": 0.9484,
+      "step": 758
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9791395045632336e-05,
+      "loss": 1.0432,
+      "step": 759
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9817470664928293e-05,
+      "loss": 1.002,
+      "step": 760
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.984354628422425e-05,
+      "loss": 0.9222,
+      "step": 761
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.986962190352021e-05,
+      "loss": 0.9973,
+      "step": 762
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9895697522816167e-05,
+      "loss": 0.9851,
+      "step": 763
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9921773142112127e-05,
+      "loss": 0.9991,
+      "step": 764
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9947848761408084e-05,
+      "loss": 1.0544,
+      "step": 765
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9973924380704045e-05,
+      "loss": 1.2268,
+      "step": 766
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 2e-05,
+      "loss": 0.9698,
+      "step": 767
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999999919706266e-05,
+      "loss": 1.0341,
+      "step": 768
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999999678825064e-05,
+      "loss": 1.0353,
+      "step": 769
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999999277356397e-05,
+      "loss": 1.0245,
+      "step": 770
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999998715300272e-05,
+      "loss": 0.92,
+      "step": 771
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.99999979926567e-05,
+      "loss": 1.1053,
+      "step": 772
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999999710942569e-05,
+      "loss": 0.8965,
+      "step": 773
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999996065607256e-05,
+      "loss": 0.9907,
+      "step": 774
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999999486120142e-05,
+      "loss": 1.0639,
+      "step": 775
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999999349620819e-05,
+      "loss": 1.1064,
+      "step": 776
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999991970627597e-05,
+      "loss": 0.7339,
+      "step": 777
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999999028445967e-05,
+      "loss": 1.1542,
+      "step": 778
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999988437704427e-05,
+      "loss": 0.958,
+      "step": 779
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999986430361896e-05,
+      "loss": 0.9644,
+      "step": 780
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999984262432116e-05,
+      "loss": 0.9482,
+      "step": 781
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999998193391512e-05,
+      "loss": 1.0228,
+      "step": 782
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999979444810947e-05,
+      "loss": 1.0309,
+      "step": 783
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999976795119632e-05,
+      "loss": 1.0288,
+      "step": 784
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999973984841218e-05,
+      "loss": 0.9817,
+      "step": 785
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999971013975758e-05,
+      "loss": 0.9739,
+      "step": 786
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999967882523294e-05,
+      "loss": 1.0724,
+      "step": 787
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999964590483872e-05,
+      "loss": 0.8974,
+      "step": 788
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999996113785755e-05,
+      "loss": 0.976,
+      "step": 789
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999957524644385e-05,
+      "loss": 1.1353,
+      "step": 790
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999995375084443e-05,
+      "loss": 0.9455,
+      "step": 791
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999994981645775e-05,
+      "loss": 1.0417,
+      "step": 792
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999945721484407e-05,
+      "loss": 1.0215,
+      "step": 793
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999994146592447e-05,
+      "loss": 0.9513,
+      "step": 794
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999937049777998e-05,
+      "loss": 1.013,
+      "step": 795
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999993247304507e-05,
+      "loss": 0.9446,
+      "step": 796
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999927735725756e-05,
+      "loss": 1.0247,
+      "step": 797
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999922837820134e-05,
+      "loss": 0.9726,
+      "step": 798
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999991777932828e-05,
+      "loss": 1.0597,
+      "step": 799
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999991256025028e-05,
+      "loss": 0.9481,
+      "step": 800
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999907180586212e-05,
+      "loss": 1.0076,
+      "step": 801
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999990164033617e-05,
+      "loss": 1.1669,
+      "step": 802
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999895939500235e-05,
+      "loss": 1.0907,
+      "step": 803
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.99998900780785e-05,
+      "loss": 1.1267,
+      "step": 804
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999884056071065e-05,
+      "loss": 1.0223,
+      "step": 805
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999987787347802e-05,
+      "loss": 1.0969,
+      "step": 806
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999871530299466e-05,
+      "loss": 0.9091,
+      "step": 807
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999986502653551e-05,
+      "loss": 1.1411,
+      "step": 808
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999858362186247e-05,
+      "loss": 0.9996,
+      "step": 809
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999985153725179e-05,
+      "loss": 0.8794,
+      "step": 810
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999984455173225e-05,
+      "loss": 1.1085,
+      "step": 811
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999837405627737e-05,
+      "loss": 1.0096,
+      "step": 812
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999830098938364e-05,
+      "loss": 0.9629,
+      "step": 813
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999982263166425e-05,
+      "loss": 0.9695,
+      "step": 814
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999815003805518e-05,
+      "loss": 1.115,
+      "step": 815
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999807215362284e-05,
+      "loss": 1.1131,
+      "step": 816
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999799266334682e-05,
+      "loss": 0.9608,
+      "step": 817
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999791156722827e-05,
+      "loss": 1.1127,
+      "step": 818
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999782886526863e-05,
+      "loss": 1.0935,
+      "step": 819
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999977445574691e-05,
+      "loss": 1.0976,
+      "step": 820
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999765864383115e-05,
+      "loss": 0.9724,
+      "step": 821
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999757112435608e-05,
+      "loss": 0.886,
+      "step": 822
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999748199904535e-05,
+      "loss": 0.9053,
+      "step": 823
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999739126790032e-05,
+      "loss": 1.1038,
+      "step": 824
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999972989309225e-05,
+      "loss": 0.9635,
+      "step": 825
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999720498811335e-05,
+      "loss": 1.0473,
+      "step": 826
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999710943947447e-05,
+      "loss": 1.0299,
+      "step": 827
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999701228500724e-05,
+      "loss": 1.0523,
+      "step": 828
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999969135247133e-05,
+      "loss": 0.9753,
+      "step": 829
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999968131585943e-05,
+      "loss": 0.8172,
+      "step": 830
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999967111866517e-05,
+      "loss": 0.9044,
+      "step": 831
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999660760888722e-05,
+      "loss": 1.1748,
+      "step": 832
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999650242530257e-05,
+      "loss": 1.0934,
+      "step": 833
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999963956358994e-05,
+      "loss": 1.0469,
+      "step": 834
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999962872406794e-05,
+      "loss": 1.0285,
+      "step": 835
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999617723964434e-05,
+      "loss": 0.972,
+      "step": 836
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999606563279594e-05,
+      "loss": 1.015,
+      "step": 837
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999595242013604e-05,
+      "loss": 0.8835,
+      "step": 838
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999583760166646e-05,
+      "loss": 1.0281,
+      "step": 839
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999572117738902e-05,
+      "loss": 1.1118,
+      "step": 840
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999560314730563e-05,
+      "loss": 0.9472,
+      "step": 841
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999548351141813e-05,
+      "loss": 1.036,
+      "step": 842
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999536226972845e-05,
+      "loss": 1.0968,
+      "step": 843
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999952394222386e-05,
+      "loss": 1.1015,
+      "step": 844
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999511496895047e-05,
+      "loss": 0.89,
+      "step": 845
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999949889098661e-05,
+      "loss": 0.9952,
+      "step": 846
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999948612449875e-05,
+      "loss": 1.0627,
+      "step": 847
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999473197431677e-05,
+      "loss": 1.058,
+      "step": 848
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999946010978559e-05,
+      "loss": 0.9973,
+      "step": 849
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999446861560704e-05,
+      "loss": 1.0319,
+      "step": 850
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999433452757234e-05,
+      "loss": 1.0777,
+      "step": 851
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999419883375393e-05,
+      "loss": 1.0424,
+      "step": 852
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999406153415397e-05,
+      "loss": 1.0861,
+      "step": 853
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999939226287747e-05,
+      "loss": 1.0445,
+      "step": 854
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999937821176183e-05,
+      "loss": 1.0858,
+      "step": 855
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999364000068703e-05,
+      "loss": 1.0883,
+      "step": 856
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999349627798324e-05,
+      "loss": 1.0786,
+      "step": 857
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999335094950922e-05,
+      "loss": 0.9766,
+      "step": 858
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999320401526727e-05,
+      "loss": 1.124,
+      "step": 859
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999305547525977e-05,
+      "loss": 0.851,
+      "step": 860
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999290532948908e-05,
+      "loss": 1.0434,
+      "step": 861
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999927535779576e-05,
+      "loss": 0.965,
+      "step": 862
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999260022066784e-05,
+      "loss": 1.0238,
+      "step": 863
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999924452576222e-05,
+      "loss": 1.1071,
+      "step": 864
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999922886888232e-05,
+      "loss": 1.1038,
+      "step": 865
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999213051427336e-05,
+      "loss": 1.1165,
+      "step": 866
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999197073397517e-05,
+      "loss": 1.069,
+      "step": 867
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999918093479312e-05,
+      "loss": 0.9689,
+      "step": 868
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999164635614413e-05,
+      "loss": 0.9949,
+      "step": 869
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999148175861646e-05,
+      "loss": 0.9842,
+      "step": 870
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999913155553509e-05,
+      "loss": 0.9066,
+      "step": 871
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999114774635013e-05,
+      "loss": 0.9814,
+      "step": 872
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999097833161683e-05,
+      "loss": 1.0348,
+      "step": 873
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999908073111537e-05,
+      "loss": 0.9229,
+      "step": 874
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999906346849635e-05,
+      "loss": 1.0561,
+      "step": 875
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.99990460453049e-05,
+      "loss": 1.0428,
+      "step": 876
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.99990284615413e-05,
+      "loss": 1.1203,
+      "step": 877
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999010717205832e-05,
+      "loss": 0.9436,
+      "step": 878
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998992812298783e-05,
+      "loss": 1.034,
+      "step": 879
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999897474682044e-05,
+      "loss": 1.0663,
+      "step": 880
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998956520771088e-05,
+      "loss": 1.1243,
+      "step": 881
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998938134151028e-05,
+      "loss": 1.0223,
+      "step": 882
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998919586960545e-05,
+      "loss": 0.8493,
+      "step": 883
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998900879199948e-05,
+      "loss": 0.983,
+      "step": 884
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999888201086953e-05,
+      "loss": 0.8695,
+      "step": 885
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998862981969597e-05,
+      "loss": 0.9584,
+      "step": 886
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998843792500454e-05,
+      "loss": 0.9458,
+      "step": 887
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998824442462407e-05,
+      "loss": 0.9919,
+      "step": 888
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998804931855772e-05,
+      "loss": 1.0148,
+      "step": 889
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998785260680855e-05,
+      "loss": 0.9299,
+      "step": 890
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999876542893798e-05,
+      "loss": 0.9138,
+      "step": 891
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998745436627458e-05,
+      "loss": 0.9968,
+      "step": 892
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998725283749617e-05,
+      "loss": 0.9886,
+      "step": 893
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998704970304772e-05,
+      "loss": 0.9463,
+      "step": 894
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998684496293258e-05,
+      "loss": 1.0773,
+      "step": 895
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998663861715397e-05,
+      "loss": 0.947,
+      "step": 896
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998643066571527e-05,
+      "loss": 1.0571,
+      "step": 897
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998622110861978e-05,
+      "loss": 1.0319,
+      "step": 898
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998600994587085e-05,
+      "loss": 0.9385,
+      "step": 899
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999857971774719e-05,
+      "loss": 1.0612,
+      "step": 900
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998558280342634e-05,
+      "loss": 1.0354,
+      "step": 901
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999853668237376e-05,
+      "loss": 0.9874,
+      "step": 902
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998514923840916e-05,
+      "loss": 1.1167,
+      "step": 903
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999849300474445e-05,
+      "loss": 0.9201,
+      "step": 904
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998470925084715e-05,
+      "loss": 1.0566,
+      "step": 905
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999844868486207e-05,
+      "loss": 1.1138,
+      "step": 906
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998426284076862e-05,
+      "loss": 1.003,
+      "step": 907
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999840372272946e-05,
+      "loss": 1.0943,
+      "step": 908
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998381000820226e-05,
+      "loss": 0.9178,
+      "step": 909
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998358118349513e-05,
+      "loss": 1.0617,
+      "step": 910
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998335075317706e-05,
+      "loss": 1.0735,
+      "step": 911
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998311871725162e-05,
+      "loss": 1.0371,
+      "step": 912
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998288507572258e-05,
+      "loss": 1.1513,
+      "step": 913
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999826498285937e-05,
+      "loss": 1.0625,
+      "step": 914
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998241297586876e-05,
+      "loss": 0.9047,
+      "step": 915
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998217451755154e-05,
+      "loss": 1.0649,
+      "step": 916
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998193445364586e-05,
+      "loss": 0.9905,
+      "step": 917
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998169278415562e-05,
+      "loss": 1.099,
+      "step": 918
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998144950908468e-05,
+      "loss": 1.1513,
+      "step": 919
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998120462843694e-05,
+      "loss": 1.0804,
+      "step": 920
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998095814221636e-05,
+      "loss": 1.0612,
+      "step": 921
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998071005042683e-05,
+      "loss": 1.1227,
+      "step": 922
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999804603530724e-05,
+      "loss": 1.0296,
+      "step": 923
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998020905015705e-05,
+      "loss": 1.0901,
+      "step": 924
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997995614168486e-05,
+      "loss": 1.01,
+      "step": 925
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997970162765985e-05,
+      "loss": 1.064,
+      "step": 926
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999794455080861e-05,
+      "loss": 0.882,
+      "step": 927
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997918778296772e-05,
+      "loss": 1.0552,
+      "step": 928
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999789284523089e-05,
+      "loss": 1.0548,
+      "step": 929
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997866751611373e-05,
+      "loss": 0.9889,
+      "step": 930
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997840497438648e-05,
+      "loss": 1.1364,
+      "step": 931
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997814082713128e-05,
+      "loss": 1.1895,
+      "step": 932
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997787507435244e-05,
+      "loss": 1.0001,
+      "step": 933
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997760771605423e-05,
+      "loss": 1.0207,
+      "step": 934
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997733875224088e-05,
+      "loss": 1.0908,
+      "step": 935
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999770681829168e-05,
+      "loss": 1.018,
+      "step": 936
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999767960080862e-05,
+      "loss": 1.0089,
+      "step": 937
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997652222775363e-05,
+      "loss": 1.021,
+      "step": 938
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997624684192332e-05,
+      "loss": 0.9716,
+      "step": 939
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997596985059977e-05,
+      "loss": 1.1245,
+      "step": 940
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997569125378743e-05,
+      "loss": 1.0092,
+      "step": 941
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999754110514908e-05,
+      "loss": 1.137,
+      "step": 942
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997512924371432e-05,
+      "loss": 0.9715,
+      "step": 943
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997484583046255e-05,
+      "loss": 1.0924,
+      "step": 944
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997456081174e-05,
+      "loss": 1.0149,
+      "step": 945
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997427418755132e-05,
+      "loss": 1.0123,
+      "step": 946
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997398595790104e-05,
+      "loss": 1.1035,
+      "step": 947
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997369612279383e-05,
+      "loss": 0.993,
+      "step": 948
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999734046822343e-05,
+      "loss": 1.1135,
+      "step": 949
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997311163622722e-05,
+      "loss": 1.0595,
+      "step": 950
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999728169847772e-05,
+      "loss": 1.0729,
+      "step": 951
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997252072788903e-05,
+      "loss": 0.8729,
+      "step": 952
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997222286556747e-05,
+      "loss": 1.0123,
+      "step": 953
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997192339781724e-05,
+      "loss": 0.9727,
+      "step": 954
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997162232464325e-05,
+      "loss": 1.0251,
+      "step": 955
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999713196460502e-05,
+      "loss": 1.0911,
+      "step": 956
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999710153620431e-05,
+      "loss": 1.0244,
+      "step": 957
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997070947262674e-05,
+      "loss": 1.0064,
+      "step": 958
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997040197780605e-05,
+      "loss": 0.9124,
+      "step": 959
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997009287758596e-05,
+      "loss": 0.9237,
+      "step": 960
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996978217197145e-05,
+      "loss": 1.1293,
+      "step": 961
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996946986096754e-05,
+      "loss": 1.0062,
+      "step": 962
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999691559445792e-05,
+      "loss": 0.9771,
+      "step": 963
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996884042281145e-05,
+      "loss": 0.9601,
+      "step": 964
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996852329566944e-05,
+      "loss": 1.0104,
+      "step": 965
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996820456315818e-05,
+      "loss": 1.1205,
+      "step": 966
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996788422528283e-05,
+      "loss": 0.893,
+      "step": 967
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996756228204853e-05,
+      "loss": 0.9901,
+      "step": 968
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996723873346043e-05,
+      "loss": 0.9754,
+      "step": 969
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996691357952376e-05,
+      "loss": 1.0418,
+      "step": 970
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996658682024373e-05,
+      "loss": 0.9345,
+      "step": 971
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996625845562555e-05,
+      "loss": 0.971,
+      "step": 972
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996592848567455e-05,
+      "loss": 1.1049,
+      "step": 973
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.99965596910396e-05,
+      "loss": 1.0033,
+      "step": 974
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996526372979522e-05,
+      "loss": 1.193,
+      "step": 975
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999649289438776e-05,
+      "loss": 0.9853,
+      "step": 976
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996459255264843e-05,
+      "loss": 1.0221,
+      "step": 977
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999642545561132e-05,
+      "loss": 1.0019,
+      "step": 978
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999639149542773e-05,
+      "loss": 1.0402,
+      "step": 979
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999635737471462e-05,
+      "loss": 0.9954,
+      "step": 980
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996323093472535e-05,
+      "loss": 0.9835,
+      "step": 981
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996288651702028e-05,
+      "loss": 1.1263,
+      "step": 982
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999625404940365e-05,
+      "loss": 0.9396,
+      "step": 983
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996219286577957e-05,
+      "loss": 0.9844,
+      "step": 984
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996184363225512e-05,
+      "loss": 0.8946,
+      "step": 985
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999614927934687e-05,
+      "loss": 1.0477,
+      "step": 986
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996114034942594e-05,
+      "loss": 0.8586,
+      "step": 987
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996078630013253e-05,
+      "loss": 0.8898,
+      "step": 988
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999604306455942e-05,
+      "loss": 0.9587,
+      "step": 989
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996007338581656e-05,
+      "loss": 1.0094,
+      "step": 990
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995971452080543e-05,
+      "loss": 1.0685,
+      "step": 991
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995935405056653e-05,
+      "loss": 0.8924,
+      "step": 992
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995899197510567e-05,
+      "loss": 0.9598,
+      "step": 993
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995862829442864e-05,
+      "loss": 0.9433,
+      "step": 994
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999582630085413e-05,
+      "loss": 0.8907,
+      "step": 995
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995789611744947e-05,
+      "loss": 1.1928,
+      "step": 996
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995752762115917e-05,
+      "loss": 1.0457,
+      "step": 997
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995715751967614e-05,
+      "loss": 0.9734,
+      "step": 998
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999567858130065e-05,
+      "loss": 1.0494,
+      "step": 999
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995641250115606e-05,
+      "loss": 1.097,
+      "step": 1000
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999560375841309e-05,
+      "loss": 1.0246,
+      "step": 1001
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995566106193706e-05,
+      "loss": 1.0331,
+      "step": 1002
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995528293458056e-05,
+      "loss": 0.9372,
+      "step": 1003
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995490320206743e-05,
+      "loss": 0.986,
+      "step": 1004
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995452186440382e-05,
+      "loss": 0.9802,
+      "step": 1005
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995413892159587e-05,
+      "loss": 0.9481,
+      "step": 1006
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995375437364964e-05,
+      "loss": 1.026,
+      "step": 1007
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995336822057137e-05,
+      "loss": 0.9842,
+      "step": 1008
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999529804623673e-05,
+      "loss": 0.986,
+      "step": 1009
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999525910990436e-05,
+      "loss": 0.943,
+      "step": 1010
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999522001306065e-05,
+      "loss": 1.0618,
+      "step": 1011
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995180755706234e-05,
+      "loss": 1.1674,
+      "step": 1012
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999514133784174e-05,
+      "loss": 0.9729,
+      "step": 1013
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.99951017594678e-05,
+      "loss": 1.0737,
+      "step": 1014
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999506202058505e-05,
+      "loss": 0.8821,
+      "step": 1015
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999502212119413e-05,
+      "loss": 0.9547,
+      "step": 1016
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994982061295676e-05,
+      "loss": 1.0435,
+      "step": 1017
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994941840890338e-05,
+      "loss": 1.1804,
+      "step": 1018
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999490145997876e-05,
+      "loss": 1.0729,
+      "step": 1019
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994860918561584e-05,
+      "loss": 0.9864,
+      "step": 1020
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999482021663947e-05,
+      "loss": 1.0332,
+      "step": 1021
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999477935421306e-05,
+      "loss": 0.9008,
+      "step": 1022
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994738331283026e-05,
+      "loss": 1.0413,
+      "step": 1023
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994697147850016e-05,
+      "loss": 1.058,
+      "step": 1024
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999465580391469e-05,
+      "loss": 0.9621,
+      "step": 1025
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994614299477723e-05,
+      "loss": 0.9792,
+      "step": 1026
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994572634539767e-05,
+      "loss": 0.9007,
+      "step": 1027
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994530809101503e-05,
+      "loss": 1.0394,
+      "step": 1028
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.99944888231636e-05,
+      "loss": 1.0105,
+      "step": 1029
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994446676726723e-05,
+      "loss": 1.0361,
+      "step": 1030
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994404369791563e-05,
+      "loss": 1.0045,
+      "step": 1031
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999436190235879e-05,
+      "loss": 0.8903,
+      "step": 1032
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994319274429088e-05,
+      "loss": 1.0864,
+      "step": 1033
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999427648600314e-05,
+      "loss": 0.9329,
+      "step": 1034
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999423353708164e-05,
+      "loss": 0.9416,
+      "step": 1035
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999419042766527e-05,
+      "loss": 0.9421,
+      "step": 1036
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994147157754727e-05,
+      "loss": 1.0531,
+      "step": 1037
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994103727350702e-05,
+      "loss": 1.0425,
+      "step": 1038
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994060136453894e-05,
+      "loss": 0.9716,
+      "step": 1039
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994016385065005e-05,
+      "loss": 1.0812,
+      "step": 1040
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993972473184736e-05,
+      "loss": 0.9039,
+      "step": 1041
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999392840081379e-05,
+      "loss": 1.0404,
+      "step": 1042
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999388416795288e-05,
+      "loss": 1.0387,
+      "step": 1043
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999383977460271e-05,
+      "loss": 0.9902,
+      "step": 1044
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993795220763997e-05,
+      "loss": 0.9742,
+      "step": 1045
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999375050643746e-05,
+      "loss": 0.8892,
+      "step": 1046
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993705631623807e-05,
+      "loss": 0.9135,
+      "step": 1047
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999366059632377e-05,
+      "loss": 0.8533,
+      "step": 1048
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999361540053806e-05,
+      "loss": 0.9487,
+      "step": 1049
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993570044267415e-05,
+      "loss": 0.8553,
+      "step": 1050
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993524527512556e-05,
+      "loss": 1.1895,
+      "step": 1051
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993478850274214e-05,
+      "loss": 0.9444,
+      "step": 1052
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993433012553128e-05,
+      "loss": 0.9451,
+      "step": 1053
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993387014350027e-05,
+      "loss": 0.9587,
+      "step": 1054
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993340855665656e-05,
+      "loss": 1.0412,
+      "step": 1055
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999329453650075e-05,
+      "loss": 0.9954,
+      "step": 1056
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993248056856055e-05,
+      "loss": 0.8529,
+      "step": 1057
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993201416732322e-05,
+      "loss": 1.0966,
+      "step": 1058
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993154616130293e-05,
+      "loss": 1.0143,
+      "step": 1059
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993107655050727e-05,
+      "loss": 0.9679,
+      "step": 1060
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999306053349437e-05,
+      "loss": 0.9764,
+      "step": 1061
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993013251461987e-05,
+      "loss": 1.0346,
+      "step": 1062
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999296580895433e-05,
+      "loss": 0.9565,
+      "step": 1063
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992918205972164e-05,
+      "loss": 0.9203,
+      "step": 1064
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992870442516257e-05,
+      "loss": 0.9862,
+      "step": 1065
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999282251858737e-05,
+      "loss": 0.9104,
+      "step": 1066
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992774434186275e-05,
+      "loss": 0.9829,
+      "step": 1067
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999272618931374e-05,
+      "loss": 1.0986,
+      "step": 1068
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999267778397055e-05,
+      "loss": 0.97,
+      "step": 1069
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992629218157478e-05,
+      "loss": 1.1057,
+      "step": 1070
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992580491875296e-05,
+      "loss": 1.0107,
+      "step": 1071
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.99925316051248e-05,
+      "loss": 0.973,
+      "step": 1072
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999248255790676e-05,
+      "loss": 0.9321,
+      "step": 1073
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992433350221976e-05,
+      "loss": 0.8838,
+      "step": 1074
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999238398207123e-05,
+      "loss": 1.0159,
+      "step": 1075
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992334453455322e-05,
+      "loss": 0.9755,
+      "step": 1076
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992284764375042e-05,
+      "loss": 1.0049,
+      "step": 1077
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999223491483119e-05,
+      "loss": 0.9948,
+      "step": 1078
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992184904824566e-05,
+      "loss": 1.1306,
+      "step": 1079
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992134734355974e-05,
+      "loss": 1.0834,
+      "step": 1080
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999208440342622e-05,
+      "loss": 1.0183,
+      "step": 1081
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999203391203611e-05,
+      "loss": 0.8911,
+      "step": 1082
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991983260186452e-05,
+      "loss": 1.0089,
+      "step": 1083
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999193244787807e-05,
+      "loss": 1.1245,
+      "step": 1084
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991881475111773e-05,
+      "loss": 0.8936,
+      "step": 1085
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991830341888375e-05,
+      "loss": 1.1112,
+      "step": 1086
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991779048208707e-05,
+      "loss": 0.9638,
+      "step": 1087
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991727594073585e-05,
+      "loss": 0.819,
+      "step": 1088
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991675979483844e-05,
+      "loss": 1.0407,
+      "step": 1089
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.99916242044403e-05,
+      "loss": 0.9342,
+      "step": 1090
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991572268943793e-05,
+      "loss": 0.887,
+      "step": 1091
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991520172995158e-05,
+      "loss": 0.9612,
+      "step": 1092
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991467916595226e-05,
+      "loss": 1.0137,
+      "step": 1093
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991415499744842e-05,
+      "loss": 1.0769,
+      "step": 1094
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991362922444842e-05,
+      "loss": 0.9976,
+      "step": 1095
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991310184696076e-05,
+      "loss": 1.0899,
+      "step": 1096
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991257286499386e-05,
+      "loss": 1.0236,
+      "step": 1097
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991204227855627e-05,
+      "loss": 0.9177,
+      "step": 1098
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991151008765644e-05,
+      "loss": 0.9102,
+      "step": 1099
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991097629230298e-05,
+      "loss": 1.0076,
+      "step": 1100
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999104408925044e-05,
+      "loss": 1.0193,
+      "step": 1101
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999099038882694e-05,
+      "loss": 1.1057,
+      "step": 1102
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999093652796065e-05,
+      "loss": 1.0173,
+      "step": 1103
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999088250665244e-05,
+      "loss": 0.9548,
+      "step": 1104
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999082832490317e-05,
+      "loss": 1.0731,
+      "step": 1105
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990773982713725e-05,
+      "loss": 0.8308,
+      "step": 1106
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990719480084966e-05,
+      "loss": 1.0141,
+      "step": 1107
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999066481701777e-05,
+      "loss": 0.9873,
+      "step": 1108
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990609993513014e-05,
+      "loss": 0.9961,
+      "step": 1109
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990555009571582e-05,
+      "loss": 1.0862,
+      "step": 1110
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999049986519436e-05,
+      "loss": 1.0728,
+      "step": 1111
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990444560382224e-05,
+      "loss": 1.0328,
+      "step": 1112
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990389095136068e-05,
+      "loss": 0.9862,
+      "step": 1113
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990333469456784e-05,
+      "loss": 1.017,
+      "step": 1114
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999027768334526e-05,
+      "loss": 0.8769,
+      "step": 1115
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990221736802398e-05,
+      "loss": 1.1101,
+      "step": 1116
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999016562982909e-05,
+      "loss": 0.9309,
+      "step": 1117
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990109362426243e-05,
+      "loss": 0.9623,
+      "step": 1118
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990052934594753e-05,
+      "loss": 1.1028,
+      "step": 1119
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.998999634633554e-05,
+      "loss": 0.9778,
+      "step": 1120
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989939597649497e-05,
+      "loss": 0.9964,
+      "step": 1121
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989882688537542e-05,
+      "loss": 1.0344,
+      "step": 1122
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989825619000593e-05,
+      "loss": 0.9373,
+      "step": 1123
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.998976838903956e-05,
+      "loss": 1.1011,
+      "step": 1124
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989710998655365e-05,
+      "loss": 0.8972,
+      "step": 1125
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.998965344784893e-05,
+      "loss": 0.9254,
+      "step": 1126
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989595736621178e-05,
+      "loss": 0.9974,
+      "step": 1127
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989537864973037e-05,
+      "loss": 0.9123,
+      "step": 1128
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989479832905432e-05,
+      "loss": 1.0197,
+      "step": 1129
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.99894216404193e-05,
+      "loss": 0.8997,
+      "step": 1130
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989363287515577e-05,
+      "loss": 0.9988,
+      "step": 1131
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989304774195194e-05,
+      "loss": 0.9174,
+      "step": 1132
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.998924610045909e-05,
+      "loss": 0.9325,
+      "step": 1133
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.998918726630822e-05,
+      "loss": 0.9742,
+      "step": 1134
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989128271743512e-05,
+      "loss": 0.9191,
+      "step": 1135
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989069116765924e-05,
+      "loss": 1.02,
+      "step": 1136
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989009801376403e-05,
+      "loss": 1.0533,
+      "step": 1137
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.99889503255759e-05,
+      "loss": 1.1559,
+      "step": 1138
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988890689365374e-05,
+      "loss": 1.0172,
+      "step": 1139
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.998883089274578e-05,
+      "loss": 1.0503,
+      "step": 1140
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988770935718075e-05,
+      "loss": 0.9468,
+      "step": 1141
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.998871081828323e-05,
+      "loss": 1.0596,
+      "step": 1142
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988650540442207e-05,
+      "loss": 0.9325,
+      "step": 1143
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988590102195968e-05,
+      "loss": 0.9862,
+      "step": 1144
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988529503545488e-05,
+      "loss": 1.057,
+      "step": 1145
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988468744491744e-05,
+      "loss": 1.0934,
+      "step": 1146
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988407825035704e-05,
+      "loss": 0.908,
+      "step": 1147
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988346745178356e-05,
+      "loss": 0.8858,
+      "step": 1148
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988285504920672e-05,
+      "loss": 1.0238,
+      "step": 1149
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988224104263642e-05,
+      "loss": 0.8674,
+      "step": 1150
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9988162543208245e-05,
+      "loss": 1.0293,
+      "step": 1151
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9988100821755474e-05,
+      "loss": 0.9243,
+      "step": 1152
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998803893990632e-05,
+      "loss": 1.04,
+      "step": 1153
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987976897661777e-05,
+      "loss": 1.0696,
+      "step": 1154
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998791469502284e-05,
+      "loss": 1.0055,
+      "step": 1155
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998785233199051e-05,
+      "loss": 0.9745,
+      "step": 1156
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987789808565785e-05,
+      "loss": 0.9422,
+      "step": 1157
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987727124749673e-05,
+      "loss": 1.0013,
+      "step": 1158
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987664280543177e-05,
+      "loss": 0.8797,
+      "step": 1159
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998760127594731e-05,
+      "loss": 0.8144,
+      "step": 1160
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998753811096308e-05,
+      "loss": 1.1622,
+      "step": 1161
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987474785591502e-05,
+      "loss": 1.0325,
+      "step": 1162
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987411299833598e-05,
+      "loss": 1.0682,
+      "step": 1163
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998734765369038e-05,
+      "loss": 1.0091,
+      "step": 1164
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987283847162873e-05,
+      "loss": 0.9517,
+      "step": 1165
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.99872198802521e-05,
+      "loss": 0.9067,
+      "step": 1166
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987155752959094e-05,
+      "loss": 1.153,
+      "step": 1167
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987091465284884e-05,
+      "loss": 0.8619,
+      "step": 1168
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987027017230497e-05,
+      "loss": 0.9426,
+      "step": 1169
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986962408796972e-05,
+      "loss": 0.9972,
+      "step": 1170
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998689763998534e-05,
+      "loss": 0.8956,
+      "step": 1171
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998683271079665e-05,
+      "loss": 0.7835,
+      "step": 1172
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998676762123194e-05,
+      "loss": 0.9722,
+      "step": 1173
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986702371292256e-05,
+      "loss": 0.8865,
+      "step": 1174
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986636960978646e-05,
+      "loss": 0.9938,
+      "step": 1175
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986571390292162e-05,
+      "loss": 0.8959,
+      "step": 1176
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986505659233853e-05,
+      "loss": 1.001,
+      "step": 1177
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998643976780478e-05,
+      "loss": 1.0734,
+      "step": 1178
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986373716005995e-05,
+      "loss": 1.1195,
+      "step": 1179
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986307503838563e-05,
+      "loss": 0.946,
+      "step": 1180
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986241131303545e-05,
+      "loss": 1.0377,
+      "step": 1181
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986174598402012e-05,
+      "loss": 1.0106,
+      "step": 1182
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998610790513502e-05,
+      "loss": 1.1131,
+      "step": 1183
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986041051503656e-05,
+      "loss": 0.9869,
+      "step": 1184
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985974037508984e-05,
+      "loss": 0.9032,
+      "step": 1185
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998590686315208e-05,
+      "loss": 1.0037,
+      "step": 1186
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985839528434024e-05,
+      "loss": 0.918,
+      "step": 1187
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985772033355904e-05,
+      "loss": 0.9375,
+      "step": 1188
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985704377918794e-05,
+      "loss": 1.0141,
+      "step": 1189
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985636562123782e-05,
+      "loss": 0.8883,
+      "step": 1190
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985568585971965e-05,
+      "loss": 0.9612,
+      "step": 1191
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985500449464427e-05,
+      "loss": 1.0259,
+      "step": 1192
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985432152602263e-05,
+      "loss": 1.0115,
+      "step": 1193
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985363695386574e-05,
+      "loss": 1.0912,
+      "step": 1194
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998529507781845e-05,
+      "loss": 1.0607,
+      "step": 1195
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985226299899006e-05,
+      "loss": 0.9522,
+      "step": 1196
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985157361629338e-05,
+      "loss": 0.9701,
+      "step": 1197
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985088263010554e-05,
+      "loss": 0.9707,
+      "step": 1198
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998501900404376e-05,
+      "loss": 1.0484,
+      "step": 1199
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984949584730082e-05,
+      "loss": 1.0118,
+      "step": 1200
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998488000507062e-05,
+      "loss": 1.0782,
+      "step": 1201
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.99848102650665e-05,
+      "loss": 1.055,
+      "step": 1202
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984740364718833e-05,
+      "loss": 1.0776,
+      "step": 1203
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998467030402875e-05,
+      "loss": 1.185,
+      "step": 1204
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984600082997376e-05,
+      "loss": 0.9748,
+      "step": 1205
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984529701625838e-05,
+      "loss": 0.9251,
+      "step": 1206
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984459159915256e-05,
+      "loss": 0.8172,
+      "step": 1207
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998438845786678e-05,
+      "loss": 0.9115,
+      "step": 1208
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998431759548153e-05,
+      "loss": 0.8337,
+      "step": 1209
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984246572760653e-05,
+      "loss": 1.0415,
+      "step": 1210
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984175389705286e-05,
+      "loss": 1.0889,
+      "step": 1211
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984104046316576e-05,
+      "loss": 0.8798,
+      "step": 1212
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984032542595663e-05,
+      "loss": 0.9523,
+      "step": 1213
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.99839608785437e-05,
+      "loss": 1.0309,
+      "step": 1214
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9983889054161835e-05,
+      "loss": 0.9725,
+      "step": 1215
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9983817069451223e-05,
+      "loss": 0.9681,
+      "step": 1216
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998374492441302e-05,
+      "loss": 1.1774,
+      "step": 1217
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998367261904838e-05,
+      "loss": 1.069,
+      "step": 1218
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998360015335847e-05,
+      "loss": 0.9923,
+      "step": 1219
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998352752734445e-05,
+      "loss": 1.0478,
+      "step": 1220
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9983454741007492e-05,
+      "loss": 0.972,
+      "step": 1221
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998338179434876e-05,
+      "loss": 1.0204,
+      "step": 1222
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9983308687369423e-05,
+      "loss": 1.0656,
+      "step": 1223
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998323542007066e-05,
+      "loss": 0.9995,
+      "step": 1224
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9983161992453646e-05,
+      "loss": 1.1225,
+      "step": 1225
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998308840451956e-05,
+      "loss": 1.0841,
+      "step": 1226
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9983014656269584e-05,
+      "loss": 1.0313,
+      "step": 1227
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.99829407477049e-05,
+      "loss": 0.903,
+      "step": 1228
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.99828666788267e-05,
+      "loss": 0.9623,
+      "step": 1229
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9982792449636167e-05,
+      "loss": 1.0036,
+      "step": 1230
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.99827180601345e-05,
+      "loss": 1.0589,
+      "step": 1231
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998264351032289e-05,
+      "loss": 0.955,
+      "step": 1232
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9982568800202532e-05,
+      "loss": 1.0322,
+      "step": 1233
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9982493929774627e-05,
+      "loss": 1.0227,
+      "step": 1234
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998241889904038e-05,
+      "loss": 0.9615,
+      "step": 1235
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9982343708000994e-05,
+      "loss": 1.0287,
+      "step": 1236
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9982268356657675e-05,
+      "loss": 0.9659,
+      "step": 1237
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998219284501164e-05,
+      "loss": 0.9581,
+      "step": 1238
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998211717306409e-05,
+      "loss": 0.9016,
+      "step": 1239
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998204134081625e-05,
+      "loss": 0.797,
+      "step": 1240
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981965348269333e-05,
+      "loss": 1.1078,
+      "step": 1241
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998188919542456e-05,
+      "loss": 1.112,
+      "step": 1242
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981812882283157e-05,
+      "loss": 1.0927,
+      "step": 1243
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981736408846345e-05,
+      "loss": 0.988,
+      "step": 1244
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981659775115357e-05,
+      "loss": 0.9669,
+      "step": 1245
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981582981091418e-05,
+      "loss": 0.9624,
+      "step": 1246
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981506026775763e-05,
+      "loss": 1.0796,
+      "step": 1247
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998142891216963e-05,
+      "loss": 0.9822,
+      "step": 1248
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981351637274254e-05,
+      "loss": 0.9794,
+      "step": 1249
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981274202090884e-05,
+      "loss": 1.0574,
+      "step": 1250
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981196606620755e-05,
+      "loss": 1.1424,
+      "step": 1251
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998111885086511e-05,
+      "loss": 1.0594,
+      "step": 1252
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981040934825212e-05,
+      "loss": 0.9916,
+      "step": 1253
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.99809628585023e-05,
+      "loss": 1.1167,
+      "step": 1254
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980884621897627e-05,
+      "loss": 0.8985,
+      "step": 1255
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980806225012456e-05,
+      "loss": 0.9858,
+      "step": 1256
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980727667848047e-05,
+      "loss": 0.8369,
+      "step": 1257
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980648950405656e-05,
+      "loss": 0.9337,
+      "step": 1258
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980570072686548e-05,
+      "loss": 0.9639,
+      "step": 1259
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980491034691994e-05,
+      "loss": 1.004,
+      "step": 1260
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980411836423256e-05,
+      "loss": 0.9265,
+      "step": 1261
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980332477881613e-05,
+      "loss": 1.0858,
+      "step": 1262
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998025295906834e-05,
+      "loss": 0.9384,
+      "step": 1263
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980173279984706e-05,
+      "loss": 0.9339,
+      "step": 1264
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980093440631997e-05,
+      "loss": 1.0462,
+      "step": 1265
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998001344101149e-05,
+      "loss": 1.0333,
+      "step": 1266
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9979933281124474e-05,
+      "loss": 1.2806,
+      "step": 1267
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9979852960972235e-05,
+      "loss": 0.8788,
+      "step": 1268
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9979772480556063e-05,
+      "loss": 1.01,
+      "step": 1269
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997969183987725e-05,
+      "loss": 0.9768,
+      "step": 1270
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9979611038937096e-05,
+      "loss": 0.977,
+      "step": 1271
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997953007773689e-05,
+      "loss": 1.0504,
+      "step": 1272
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9979448956277932e-05,
+      "loss": 0.9814,
+      "step": 1273
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9979367674561535e-05,
+      "loss": 0.9513,
+      "step": 1274
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9979286232588995e-05,
+      "loss": 0.978,
+      "step": 1275
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9979204630361622e-05,
+      "loss": 1.001,
+      "step": 1276
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997912286788073e-05,
+      "loss": 0.966,
+      "step": 1277
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997904094514763e-05,
+      "loss": 0.9813,
+      "step": 1278
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9978958862163634e-05,
+      "loss": 0.98,
+      "step": 1279
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997887661893006e-05,
+      "loss": 0.8896,
+      "step": 1280
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9978794215448237e-05,
+      "loss": 0.989,
+      "step": 1281
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997871165171948e-05,
+      "loss": 1.0513,
+      "step": 1282
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9978628927745123e-05,
+      "loss": 0.9297,
+      "step": 1283
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9978546043526487e-05,
+      "loss": 0.9482,
+      "step": 1284
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9978462999064903e-05,
+      "loss": 1.0045,
+      "step": 1285
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997837979436171e-05,
+      "loss": 1.025,
+      "step": 1286
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9978296429418237e-05,
+      "loss": 0.8644,
+      "step": 1287
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997821290423583e-05,
+      "loss": 0.958,
+      "step": 1288
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9978129218815824e-05,
+      "loss": 1.0616,
+      "step": 1289
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9978045373159573e-05,
+      "loss": 0.9528,
+      "step": 1290
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9977961367268408e-05,
+      "loss": 0.9895,
+      "step": 1291
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9977877201143692e-05,
+      "loss": 1.0332,
+      "step": 1292
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997779287478677e-05,
+      "loss": 1.1004,
+      "step": 1293
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9977708388198997e-05,
+      "loss": 1.1071,
+      "step": 1294
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9977623741381728e-05,
+      "loss": 0.9724,
+      "step": 1295
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997753893433633e-05,
+      "loss": 0.9414,
+      "step": 1296
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9977453967064154e-05,
+      "loss": 1.0881,
+      "step": 1297
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997736883956657e-05,
+      "loss": 0.9136,
+      "step": 1298
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997728355184495e-05,
+      "loss": 0.7889,
+      "step": 1299
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997719810390065e-05,
+      "loss": 1.0251,
+      "step": 1300
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9977112495735057e-05,
+      "loss": 0.9624,
+      "step": 1301
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9977026727349536e-05,
+      "loss": 0.9036,
+      "step": 1302
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997694079874547e-05,
+      "loss": 0.9005,
+      "step": 1303
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9976854709924235e-05,
+      "loss": 1.0534,
+      "step": 1304
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9976768460887216e-05,
+      "loss": 0.9031,
+      "step": 1305
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9976682051635795e-05,
+      "loss": 1.0155,
+      "step": 1306
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9976595482171365e-05,
+      "loss": 0.9685,
+      "step": 1307
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997650875249531e-05,
+      "loss": 1.0669,
+      "step": 1308
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9976421862609027e-05,
+      "loss": 0.978,
+      "step": 1309
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9976334812513912e-05,
+      "loss": 1.0912,
+      "step": 1310
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997624760221136e-05,
+      "loss": 1.0895,
+      "step": 1311
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9976160231702774e-05,
+      "loss": 1.0344,
+      "step": 1312
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997607270098955e-05,
+      "loss": 0.9258,
+      "step": 1313
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.99759850100731e-05,
+      "loss": 1.0359,
+      "step": 1314
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9975897158954835e-05,
+      "loss": 0.9014,
+      "step": 1315
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9975809147636163e-05,
+      "loss": 1.0127,
+      "step": 1316
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9975720976118492e-05,
+      "loss": 0.9651,
+      "step": 1317
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9975632644403245e-05,
+      "loss": 0.9555,
+      "step": 1318
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997554415249184e-05,
+      "loss": 0.9661,
+      "step": 1319
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9975455500385692e-05,
+      "loss": 1.0295,
+      "step": 1320
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997536668808623e-05,
+      "loss": 0.9477,
+      "step": 1321
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997527771559488e-05,
+      "loss": 1.0705,
+      "step": 1322
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9975188582913067e-05,
+      "loss": 0.938,
+      "step": 1323
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9975099290042226e-05,
+      "loss": 0.9967,
+      "step": 1324
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997500983698379e-05,
+      "loss": 1.0346,
+      "step": 1325
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9974920223739195e-05,
+      "loss": 0.9173,
+      "step": 1326
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9974830450309883e-05,
+      "loss": 1.0373,
+      "step": 1327
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997474051669729e-05,
+      "loss": 0.9888,
+      "step": 1328
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9974650422902866e-05,
+      "loss": 1.0031,
+      "step": 1329
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9974560168928054e-05,
+      "loss": 1.1004,
+      "step": 1330
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9974469754774307e-05,
+      "loss": 0.9344,
+      "step": 1331
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9974379180443072e-05,
+      "loss": 0.8752,
+      "step": 1332
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9974288445935803e-05,
+      "loss": 1.007,
+      "step": 1333
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9974197551253963e-05,
+      "loss": 0.8937,
+      "step": 1334
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997410649639901e-05,
+      "loss": 0.9929,
+      "step": 1335
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9974015281372402e-05,
+      "loss": 0.8585,
+      "step": 1336
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9973923906175608e-05,
+      "loss": 0.9504,
+      "step": 1337
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9973832370810095e-05,
+      "loss": 0.8599,
+      "step": 1338
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997374067527733e-05,
+      "loss": 0.8812,
+      "step": 1339
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997364881957879e-05,
+      "loss": 0.873,
+      "step": 1340
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9973556803715944e-05,
+      "loss": 0.9807,
+      "step": 1341
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997346462769028e-05,
+      "loss": 1.0236,
+      "step": 1342
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9973372291503266e-05,
+      "loss": 0.8208,
+      "step": 1343
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9973279795156394e-05,
+      "loss": 1.0614,
+      "step": 1344
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9973187138651143e-05,
+      "loss": 0.903,
+      "step": 1345
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9973094321989e-05,
+      "loss": 1.0253,
+      "step": 1346
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9973001345171465e-05,
+      "loss": 0.8388,
+      "step": 1347
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9972908208200023e-05,
+      "loss": 0.8621,
+      "step": 1348
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9972814911076175e-05,
+      "loss": 0.9858,
+      "step": 1349
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9972721453801412e-05,
+      "loss": 0.9217,
+      "step": 1350
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9972627836377242e-05,
+      "loss": 0.9228,
+      "step": 1351
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9972534058805163e-05,
+      "loss": 0.8478,
+      "step": 1352
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997244012108668e-05,
+      "loss": 1.0767,
+      "step": 1353
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9972346023223313e-05,
+      "loss": 0.9459,
+      "step": 1354
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997225176521656e-05,
+      "loss": 1.0067,
+      "step": 1355
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997215734706794e-05,
+      "loss": 1.0712,
+      "step": 1356
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997206276877897e-05,
+      "loss": 1.0527,
+      "step": 1357
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9971968030351166e-05,
+      "loss": 0.9841,
+      "step": 1358
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9971873131786052e-05,
+      "loss": 0.974,
+      "step": 1359
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997177807308515e-05,
+      "loss": 0.8881,
+      "step": 1360
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997168285424999e-05,
+      "loss": 1.1175,
+      "step": 1361
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.99715874752821e-05,
+      "loss": 0.891,
+      "step": 1362
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9971491936183005e-05,
+      "loss": 1.0838,
+      "step": 1363
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9971396236954247e-05,
+      "loss": 1.0357,
+      "step": 1364
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997130037759736e-05,
+      "loss": 0.9057,
+      "step": 1365
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9971204358113882e-05,
+      "loss": 0.9942,
+      "step": 1366
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997110817850536e-05,
+      "loss": 0.9663,
+      "step": 1367
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997101183877333e-05,
+      "loss": 0.9525,
+      "step": 1368
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997091533891935e-05,
+      "loss": 1.0338,
+      "step": 1369
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9970818678944962e-05,
+      "loss": 1.1213,
+      "step": 1370
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997072185885172e-05,
+      "loss": 0.8438,
+      "step": 1371
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9970624878641178e-05,
+      "loss": 0.9323,
+      "step": 1372
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9970527738314898e-05,
+      "loss": 0.9756,
+      "step": 1373
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9970430437874434e-05,
+      "loss": 0.9489,
+      "step": 1374
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9970332977321348e-05,
+      "loss": 1.1071,
+      "step": 1375
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9970235356657212e-05,
+      "loss": 0.9704,
+      "step": 1376
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9970137575883584e-05,
+      "loss": 1.0165,
+      "step": 1377
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9970039635002044e-05,
+      "loss": 1.0835,
+      "step": 1378
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.996994153401416e-05,
+      "loss": 0.9327,
+      "step": 1379
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.996984327292151e-05,
+      "loss": 1.1017,
+      "step": 1380
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.996974485172567e-05,
+      "loss": 1.0074,
+      "step": 1381
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9969646270428216e-05,
+      "loss": 0.9736,
+      "step": 1382
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.996954752903074e-05,
+      "loss": 1.0632,
+      "step": 1383
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.996944862753482e-05,
+      "loss": 0.9622,
+      "step": 1384
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9969349565942048e-05,
+      "loss": 1.0259,
+      "step": 1385
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9969250344254016e-05,
+      "loss": 0.8847,
+      "step": 1386
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9969150962472315e-05,
+      "loss": 0.9534,
+      "step": 1387
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.996905142059854e-05,
+      "loss": 0.9089,
+      "step": 1388
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9968951718634293e-05,
+      "loss": 1.0648,
+      "step": 1389
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9968851856581174e-05,
+      "loss": 0.8819,
+      "step": 1390
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9968751834440783e-05,
+      "loss": 0.9834,
+      "step": 1391
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.996865165221473e-05,
+      "loss": 0.9299,
+      "step": 1392
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9968551309904622e-05,
+      "loss": 1.1142,
+      "step": 1393
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9968450807512074e-05,
+      "loss": 0.9388,
+      "step": 1394
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.99683501450387e-05,
+      "loss": 0.9644,
+      "step": 1395
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9968249322486108e-05,
+      "loss": 0.9859,
+      "step": 1396
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9968148339855925e-05,
+      "loss": 0.9628,
+      "step": 1397
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9968047197149766e-05,
+      "loss": 1.0345,
+      "step": 1398
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9967945894369264e-05,
+      "loss": 0.8998,
+      "step": 1399
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.996784443151604e-05,
+      "loss": 1.0248,
+      "step": 1400
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.996774280859173e-05,
+      "loss": 0.9725,
+      "step": 1401
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9967641025597953e-05,
+      "loss": 0.9433,
+      "step": 1402
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9967539082536356e-05,
+      "loss": 1.0397,
+      "step": 1403
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.996743697940857e-05,
+      "loss": 0.9876,
+      "step": 1404
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9967334716216234e-05,
+      "loss": 1.0536,
+      "step": 1405
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9967232292960997e-05,
+      "loss": 0.9906,
+      "step": 1406
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9967129709644495e-05,
+      "loss": 0.8876,
+      "step": 1407
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996702696626838e-05,
+      "loss": 0.9448,
+      "step": 1408
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9966924062834306e-05,
+      "loss": 0.9504,
+      "step": 1409
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9966820999343913e-05,
+      "loss": 0.932,
+      "step": 1410
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996671777579887e-05,
+      "loss": 1.041,
+      "step": 1411
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9966614392200827e-05,
+      "loss": 0.9306,
+      "step": 1412
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9966510848551444e-05,
+      "loss": 1.019,
+      "step": 1413
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996640714485239e-05,
+      "loss": 0.965,
+      "step": 1414
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996630328110532e-05,
+      "loss": 1.0759,
+      "step": 1415
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996619925731191e-05,
+      "loss": 0.9419,
+      "step": 1416
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9966095073473828e-05,
+      "loss": 1.0537,
+      "step": 1417
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9965990729592748e-05,
+      "loss": 0.9912,
+      "step": 1418
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9965886225670346e-05,
+      "loss": 0.8447,
+      "step": 1419
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99657815617083e-05,
+      "loss": 0.8177,
+      "step": 1420
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9965676737708284e-05,
+      "loss": 0.8972,
+      "step": 1421
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996557175367199e-05,
+      "loss": 1.0804,
+      "step": 1422
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9965466609601105e-05,
+      "loss": 0.9378,
+      "step": 1423
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996536130549731e-05,
+      "loss": 0.8937,
+      "step": 1424
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9965255841362303e-05,
+      "loss": 0.9334,
+      "step": 1425
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996515021719777e-05,
+      "loss": 0.9759,
+      "step": 1426
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9965044433005418e-05,
+      "loss": 0.9838,
+      "step": 1427
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996493848878693e-05,
+      "loss": 1.0078,
+      "step": 1428
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996483238454402e-05,
+      "loss": 1.068,
+      "step": 1429
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9964726120278394e-05,
+      "loss": 0.8812,
+      "step": 1430
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996461969599175e-05,
+      "loss": 0.9135,
+      "step": 1431
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99645131116858e-05,
+      "loss": 0.9912,
+      "step": 1432
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9964406367362253e-05,
+      "loss": 1.0436,
+      "step": 1433
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9964299463022827e-05,
+      "loss": 1.0143,
+      "step": 1434
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996419239866924e-05,
+      "loss": 1.0293,
+      "step": 1435
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996408517430321e-05,
+      "loss": 1.0132,
+      "step": 1436
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996397778992645e-05,
+      "loss": 0.921,
+      "step": 1437
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99638702455407e-05,
+      "loss": 1.0564,
+      "step": 1438
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9963762541147676e-05,
+      "loss": 0.9592,
+      "step": 1439
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996365467674911e-05,
+      "loss": 0.9488,
+      "step": 1440
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9963546652346736e-05,
+      "loss": 0.9847,
+      "step": 1441
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9963438467942288e-05,
+      "loss": 0.9293,
+      "step": 1442
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9963330123537507e-05,
+      "loss": 0.7837,
+      "step": 1443
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9963221619134125e-05,
+      "loss": 0.9724,
+      "step": 1444
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9963112954733886e-05,
+      "loss": 0.9037,
+      "step": 1445
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9963004130338543e-05,
+      "loss": 1.0006,
+      "step": 1446
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9962895145949833e-05,
+      "loss": 0.8788,
+      "step": 1447
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9962786001569515e-05,
+      "loss": 1.0033,
+      "step": 1448
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9962676697199333e-05,
+      "loss": 0.8637,
+      "step": 1449
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9962567232841054e-05,
+      "loss": 0.9857,
+      "step": 1450
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9962457608496424e-05,
+      "loss": 0.9234,
+      "step": 1451
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996234782416721e-05,
+      "loss": 0.9568,
+      "step": 1452
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9962237879855174e-05,
+      "loss": 0.9446,
+      "step": 1453
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996212777556208e-05,
+      "loss": 1.037,
+      "step": 1454
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9962017511289696e-05,
+      "loss": 0.9895,
+      "step": 1455
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9961907087039796e-05,
+      "loss": 0.9907,
+      "step": 1456
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996179650281415e-05,
+      "loss": 0.9405,
+      "step": 1457
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9961685758614537e-05,
+      "loss": 0.9354,
+      "step": 1458
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996157485444273e-05,
+      "loss": 1.0044,
+      "step": 1459
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9961463790300518e-05,
+      "loss": 0.9666,
+      "step": 1460
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9961352566189677e-05,
+      "loss": 0.9117,
+      "step": 1461
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9961241182111996e-05,
+      "loss": 1.0166,
+      "step": 1462
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9961129638069266e-05,
+      "loss": 1.0204,
+      "step": 1463
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9961017934063273e-05,
+      "loss": 1.0413,
+      "step": 1464
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9960906070095815e-05,
+      "loss": 0.9027,
+      "step": 1465
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9960794046168687e-05,
+      "loss": 0.8745,
+      "step": 1466
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996068186228369e-05,
+      "loss": 0.9022,
+      "step": 1467
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996056951844262e-05,
+      "loss": 0.8206,
+      "step": 1468
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996045701464729e-05,
+      "loss": 0.8932,
+      "step": 1469
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9960344350899495e-05,
+      "loss": 0.9446,
+      "step": 1470
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9960231527201056e-05,
+      "loss": 1.0451,
+      "step": 1471
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9960118543553776e-05,
+      "loss": 1.0406,
+      "step": 1472
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9960005399959477e-05,
+      "loss": 0.9901,
+      "step": 1473
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995989209641997e-05,
+      "loss": 1.105,
+      "step": 1474
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9959778632937074e-05,
+      "loss": 0.9658,
+      "step": 1475
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9959665009512616e-05,
+      "loss": 1.0601,
+      "step": 1476
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9959551226148416e-05,
+      "loss": 0.9873,
+      "step": 1477
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9959437282846306e-05,
+      "loss": 0.8811,
+      "step": 1478
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995932317960811e-05,
+      "loss": 0.9621,
+      "step": 1479
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9959208916435665e-05,
+      "loss": 0.9658,
+      "step": 1480
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9959094493330806e-05,
+      "loss": 1.1595,
+      "step": 1481
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9958979910295367e-05,
+      "loss": 0.9282,
+      "step": 1482
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9958865167331193e-05,
+      "loss": 0.9654,
+      "step": 1483
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9958750264440118e-05,
+      "loss": 0.9394,
+      "step": 1484
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9958635201624e-05,
+      "loss": 0.9249,
+      "step": 1485
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995851997888467e-05,
+      "loss": 1.0395,
+      "step": 1486
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9958404596223997e-05,
+      "loss": 1.0443,
+      "step": 1487
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995828905364382e-05,
+      "loss": 0.9805,
+      "step": 1488
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9958173351146e-05,
+      "loss": 1.0559,
+      "step": 1489
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9958057488732393e-05,
+      "loss": 1.0041,
+      "step": 1490
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9957941466404865e-05,
+      "loss": 0.904,
+      "step": 1491
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9957825284165272e-05,
+      "loss": 0.8248,
+      "step": 1492
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9957708942015484e-05,
+      "loss": 0.9568,
+      "step": 1493
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9957592439957368e-05,
+      "loss": 1.0129,
+      "step": 1494
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9957475777992794e-05,
+      "loss": 0.9677,
+      "step": 1495
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9957358956123637e-05,
+      "loss": 0.9431,
+      "step": 1496
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9957241974351772e-05,
+      "loss": 0.9568,
+      "step": 1497
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9957124832679078e-05,
+      "loss": 0.9974,
+      "step": 1498
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9957007531107437e-05,
+      "loss": 0.932,
+      "step": 1499
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995689006963873e-05,
+      "loss": 1.0265,
+      "step": 1500
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995677244827485e-05,
+      "loss": 1.0259,
+      "step": 1501
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9956654667017676e-05,
+      "loss": 1.0348,
+      "step": 1502
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9956536725869105e-05,
+      "loss": 0.903,
+      "step": 1503
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995641862483103e-05,
+      "loss": 1.122,
+      "step": 1504
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9956300363905348e-05,
+      "loss": 0.8685,
+      "step": 1505
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9956181943093963e-05,
+      "loss": 0.9466,
+      "step": 1506
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9956063362398766e-05,
+      "loss": 0.8938,
+      "step": 1507
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995594462182167e-05,
+      "loss": 0.87,
+      "step": 1508
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9955825721364576e-05,
+      "loss": 1.1459,
+      "step": 1509
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99557066610294e-05,
+      "loss": 1.0586,
+      "step": 1510
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9955587440818047e-05,
+      "loss": 0.8691,
+      "step": 1511
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995546806073244e-05,
+      "loss": 0.9662,
+      "step": 1512
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9955348520774484e-05,
+      "loss": 1.0137,
+      "step": 1513
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995522882094611e-05,
+      "loss": 0.9662,
+      "step": 1514
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9955108961249235e-05,
+      "loss": 0.9678,
+      "step": 1515
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9954988941685784e-05,
+      "loss": 1.0971,
+      "step": 1516
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9954868762257685e-05,
+      "loss": 0.9763,
+      "step": 1517
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9954748422966866e-05,
+      "loss": 1.0294,
+      "step": 1518
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9954627923815265e-05,
+      "loss": 1.0398,
+      "step": 1519
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995450726480481e-05,
+      "loss": 0.9924,
+      "step": 1520
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9954386445937444e-05,
+      "loss": 0.9774,
+      "step": 1521
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9954265467215104e-05,
+      "loss": 0.8795,
+      "step": 1522
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9954144328639737e-05,
+      "loss": 1.0484,
+      "step": 1523
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995402303021328e-05,
+      "loss": 1.0997,
+      "step": 1524
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9953901571937688e-05,
+      "loss": 0.8033,
+      "step": 1525
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9953779953814912e-05,
+      "loss": 0.8254,
+      "step": 1526
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9953658175846903e-05,
+      "loss": 0.8891,
+      "step": 1527
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9953536238035614e-05,
+      "loss": 1.0066,
+      "step": 1528
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9953414140383005e-05,
+      "loss": 0.9589,
+      "step": 1529
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995329188289104e-05,
+      "loss": 1.0559,
+      "step": 1530
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9953169465561677e-05,
+      "loss": 0.8895,
+      "step": 1531
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9953046888396886e-05,
+      "loss": 1.0834,
+      "step": 1532
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9952924151398634e-05,
+      "loss": 0.9138,
+      "step": 1533
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995280125456889e-05,
+      "loss": 1.013,
+      "step": 1534
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995267819790963e-05,
+      "loss": 1.1024,
+      "step": 1535
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9952554981422832e-05,
+      "loss": 0.8331,
+      "step": 1536
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995243160511047e-05,
+      "loss": 0.9148,
+      "step": 1537
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9952308068974527e-05,
+      "loss": 0.9589,
+      "step": 1538
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995218437301699e-05,
+      "loss": 0.9488,
+      "step": 1539
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9952060517239838e-05,
+      "loss": 0.9499,
+      "step": 1540
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995193650164507e-05,
+      "loss": 1.028,
+      "step": 1541
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995181232623467e-05,
+      "loss": 0.9764,
+      "step": 1542
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9951687991010634e-05,
+      "loss": 0.9235,
+      "step": 1543
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995156349597496e-05,
+      "loss": 1.0334,
+      "step": 1544
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9951438841129647e-05,
+      "loss": 0.9543,
+      "step": 1545
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9951314026476693e-05,
+      "loss": 0.9415,
+      "step": 1546
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995118905201811e-05,
+      "loss": 0.8148,
+      "step": 1547
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9951063917755897e-05,
+      "loss": 1.0446,
+      "step": 1548
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9950938623692066e-05,
+      "loss": 1.0477,
+      "step": 1549
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995081316982863e-05,
+      "loss": 1.0141,
+      "step": 1550
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9950687556167606e-05,
+      "loss": 0.9576,
+      "step": 1551
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995056178271101e-05,
+      "loss": 0.7717,
+      "step": 1552
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9950435849460856e-05,
+      "loss": 0.8751,
+      "step": 1553
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9950309756419174e-05,
+      "loss": 0.9176,
+      "step": 1554
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9950183503587987e-05,
+      "loss": 0.8835,
+      "step": 1555
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9950057090969315e-05,
+      "loss": 0.9366,
+      "step": 1556
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99499305185652e-05,
+      "loss": 1.0293,
+      "step": 1557
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9949803786377665e-05,
+      "loss": 0.9587,
+      "step": 1558
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994967689440875e-05,
+      "loss": 1.0368,
+      "step": 1559
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9949549842660495e-05,
+      "loss": 1.0618,
+      "step": 1560
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9949422631134934e-05,
+      "loss": 1.0414,
+      "step": 1561
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9949295259834114e-05,
+      "loss": 1.0678,
+      "step": 1562
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994916772876008e-05,
+      "loss": 0.7289,
+      "step": 1563
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9949040037914876e-05,
+      "loss": 0.9428,
+      "step": 1564
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994891218730056e-05,
+      "loss": 0.9199,
+      "step": 1565
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994878417691918e-05,
+      "loss": 1.0532,
+      "step": 1566
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994865600677279e-05,
+      "loss": 0.9232,
+      "step": 1567
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9948527676863453e-05,
+      "loss": 0.9662,
+      "step": 1568
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994839918719323e-05,
+      "loss": 0.9567,
+      "step": 1569
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9948270537764177e-05,
+      "loss": 0.8882,
+      "step": 1570
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9948141728578366e-05,
+      "loss": 0.9975,
+      "step": 1571
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9948012759637865e-05,
+      "loss": 0.8615,
+      "step": 1572
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994788363094475e-05,
+      "loss": 0.8945,
+      "step": 1573
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9947754342501082e-05,
+      "loss": 0.9594,
+      "step": 1574
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9947624894308947e-05,
+      "loss": 0.8737,
+      "step": 1575
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9947495286370423e-05,
+      "loss": 0.9462,
+      "step": 1576
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994736551868759e-05,
+      "loss": 0.9139,
+      "step": 1577
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994723559126253e-05,
+      "loss": 1.1118,
+      "step": 1578
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9947105504097328e-05,
+      "loss": 0.9501,
+      "step": 1579
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994697525719408e-05,
+      "loss": 0.9956,
+      "step": 1580
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994684485055487e-05,
+      "loss": 0.9428,
+      "step": 1581
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9946714284181802e-05,
+      "loss": 0.9582,
+      "step": 1582
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994658355807696e-05,
+      "loss": 0.9343,
+      "step": 1583
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9946452672242452e-05,
+      "loss": 1.0022,
+      "step": 1584
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9946321626680382e-05,
+      "loss": 0.9692,
+      "step": 1585
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9946190421392845e-05,
+      "loss": 1.1163,
+      "step": 1586
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9946059056381952e-05,
+      "loss": 0.9515,
+      "step": 1587
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9945927531649816e-05,
+      "loss": 0.9508,
+      "step": 1588
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9945795847198547e-05,
+      "loss": 0.9828,
+      "step": 1589
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994566400303026e-05,
+      "loss": 0.8366,
+      "step": 1590
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9945531999147073e-05,
+      "loss": 0.9907,
+      "step": 1591
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99453998355511e-05,
+      "loss": 1.0627,
+      "step": 1592
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9945267512244473e-05,
+      "loss": 1.0978,
+      "step": 1593
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994513502922931e-05,
+      "loss": 1.1458,
+      "step": 1594
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994500238650774e-05,
+      "loss": 1.0706,
+      "step": 1595
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994486958408189e-05,
+      "loss": 1.0225,
+      "step": 1596
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99447366219539e-05,
+      "loss": 0.9521,
+      "step": 1597
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9944603500125905e-05,
+      "loss": 0.8052,
+      "step": 1598
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994447021860003e-05,
+      "loss": 0.812,
+      "step": 1599
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994433677737843e-05,
+      "loss": 0.974,
+      "step": 1600
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9944203176463244e-05,
+      "loss": 0.949,
+      "step": 1601
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9944069415856612e-05,
+      "loss": 1.0115,
+      "step": 1602
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9943935495560688e-05,
+      "loss": 0.9466,
+      "step": 1603
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9943801415577616e-05,
+      "loss": 0.8594,
+      "step": 1604
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994366717590956e-05,
+      "loss": 0.9143,
+      "step": 1605
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9943532776558665e-05,
+      "loss": 0.9002,
+      "step": 1606
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9943398217527094e-05,
+      "loss": 0.9583,
+      "step": 1607
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994326349881701e-05,
+      "loss": 1.0752,
+      "step": 1608
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994312862043057e-05,
+      "loss": 1.0501,
+      "step": 1609
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9942993582369947e-05,
+      "loss": 0.9327,
+      "step": 1610
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9942858384637306e-05,
+      "loss": 0.8576,
+      "step": 1611
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9942723027234817e-05,
+      "loss": 1.0067,
+      "step": 1612
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9942587510164657e-05,
+      "loss": 0.9961,
+      "step": 1613
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9942451833429e-05,
+      "loss": 1.0436,
+      "step": 1614
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9942315997030022e-05,
+      "loss": 0.9894,
+      "step": 1615
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994218000096991e-05,
+      "loss": 0.8449,
+      "step": 1616
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9942043845250845e-05,
+      "loss": 0.8913,
+      "step": 1617
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994190752987501e-05,
+      "loss": 0.9573,
+      "step": 1618
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9941771054844604e-05,
+      "loss": 1.0024,
+      "step": 1619
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9941634420161812e-05,
+      "loss": 0.8199,
+      "step": 1620
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9941497625828827e-05,
+      "loss": 0.9062,
+      "step": 1621
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9941360671847847e-05,
+      "loss": 0.9699,
+      "step": 1622
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9941223558221073e-05,
+      "loss": 0.9285,
+      "step": 1623
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9941086284950706e-05,
+      "loss": 1.0441,
+      "step": 1624
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994094885203895e-05,
+      "loss": 0.9794,
+      "step": 1625
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9940811259488012e-05,
+      "loss": 1.0283,
+      "step": 1626
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99406735073001e-05,
+      "loss": 1.0607,
+      "step": 1627
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994053559547743e-05,
+      "loss": 0.9151,
+      "step": 1628
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9940397524022213e-05,
+      "loss": 0.9726,
+      "step": 1629
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994025929293667e-05,
+      "loss": 1.1006,
+      "step": 1630
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994012090222302e-05,
+      "loss": 0.8718,
+      "step": 1631
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.993998235188348e-05,
+      "loss": 0.9267,
+      "step": 1632
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.993984364192028e-05,
+      "loss": 0.9337,
+      "step": 1633
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9939704772335645e-05,
+      "loss": 0.9808,
+      "step": 1634
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.993956574313181e-05,
+      "loss": 0.883,
+      "step": 1635
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9939426554311e-05,
+      "loss": 0.9108,
+      "step": 1636
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9939287205875456e-05,
+      "loss": 0.903,
+      "step": 1637
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9939147697827415e-05,
+      "loss": 1.0494,
+      "step": 1638
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9939008030169117e-05,
+      "loss": 0.9376,
+      "step": 1639
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99388682029028e-05,
+      "loss": 1.1142,
+      "step": 1640
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.993872821603072e-05,
+      "loss": 0.8806,
+      "step": 1641
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9938588069555116e-05,
+      "loss": 0.8515,
+      "step": 1642
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.993844776347824e-05,
+      "loss": 0.8734,
+      "step": 1643
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.993830729780235e-05,
+      "loss": 1.0261,
+      "step": 1644
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9938166672529695e-05,
+      "loss": 0.8585,
+      "step": 1645
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.993802588766254e-05,
+      "loss": 0.8992,
+      "step": 1646
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9937884943203137e-05,
+      "loss": 0.9515,
+      "step": 1647
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9937743839153757e-05,
+      "loss": 0.9805,
+      "step": 1648
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9937602575516664e-05,
+      "loss": 0.833,
+      "step": 1649
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9937461152294125e-05,
+      "loss": 0.9975,
+      "step": 1650
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9937319569488414e-05,
+      "loss": 0.9373,
+      "step": 1651
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99371778271018e-05,
+      "loss": 0.9942,
+      "step": 1652
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9937035925136566e-05,
+      "loss": 1.0602,
+      "step": 1653
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9936893863594986e-05,
+      "loss": 0.9006,
+      "step": 1654
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.993675164247934e-05,
+      "loss": 0.8712,
+      "step": 1655
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9936609261791917e-05,
+      "loss": 0.992,
+      "step": 1656
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9936466721534996e-05,
+      "loss": 0.9552,
+      "step": 1657
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9936324021710874e-05,
+      "loss": 1.0051,
+      "step": 1658
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9936181162321842e-05,
+      "loss": 1.0303,
+      "step": 1659
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9936038143370187e-05,
+      "loss": 1.0462,
+      "step": 1660
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9935894964858212e-05,
+      "loss": 0.8333,
+      "step": 1661
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9935751626788212e-05,
+      "loss": 1.1302,
+      "step": 1662
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993560812916249e-05,
+      "loss": 0.979,
+      "step": 1663
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9935464471983354e-05,
+      "loss": 0.9671,
+      "step": 1664
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9935320655253107e-05,
+      "loss": 0.9011,
+      "step": 1665
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993517667897406e-05,
+      "loss": 1.0631,
+      "step": 1666
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993503254314853e-05,
+      "loss": 0.9438,
+      "step": 1667
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9934888247778823e-05,
+      "loss": 1.0261,
+      "step": 1668
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993474379286726e-05,
+      "loss": 0.9913,
+      "step": 1669
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9934599178416158e-05,
+      "loss": 1.0083,
+      "step": 1670
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9934454404427845e-05,
+      "loss": 1.0787,
+      "step": 1671
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993430947090464e-05,
+      "loss": 1.0446,
+      "step": 1672
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9934164377848873e-05,
+      "loss": 0.9119,
+      "step": 1673
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993401912526288e-05,
+      "loss": 0.9095,
+      "step": 1674
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9933873713148983e-05,
+      "loss": 1.0941,
+      "step": 1675
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9933728141509524e-05,
+      "loss": 0.9232,
+      "step": 1676
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993358241034684e-05,
+      "loss": 0.911,
+      "step": 1677
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9933436519663265e-05,
+      "loss": 0.906,
+      "step": 1678
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993329046946115e-05,
+      "loss": 0.955,
+      "step": 1679
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9933144259742837e-05,
+      "loss": 1.0919,
+      "step": 1680
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9932997890510676e-05,
+      "loss": 0.985,
+      "step": 1681
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9932851361767012e-05,
+      "loss": 0.8576,
+      "step": 1682
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9932704673514203e-05,
+      "loss": 1.0382,
+      "step": 1683
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9932557825754604e-05,
+      "loss": 1.0009,
+      "step": 1684
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9932410818490573e-05,
+      "loss": 1.0017,
+      "step": 1685
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9932263651724467e-05,
+      "loss": 0.964,
+      "step": 1686
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9932116325458656e-05,
+      "loss": 0.8289,
+      "step": 1687
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.99319688396955e-05,
+      "loss": 0.9629,
+      "step": 1688
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9931821194437374e-05,
+      "loss": 0.8089,
+      "step": 1689
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9931673389686642e-05,
+      "loss": 1.0378,
+      "step": 1690
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9931525425445678e-05,
+      "loss": 0.8206,
+      "step": 1691
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9931377301716867e-05,
+      "loss": 0.8281,
+      "step": 1692
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9931229018502577e-05,
+      "loss": 1.0012,
+      "step": 1693
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9931080575805193e-05,
+      "loss": 0.9186,
+      "step": 1694
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9930931973627097e-05,
+      "loss": 0.8462,
+      "step": 1695
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9930783211970682e-05,
+      "loss": 0.9922,
+      "step": 1696
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9930634290838332e-05,
+      "loss": 0.7688,
+      "step": 1697
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993048521023244e-05,
+      "loss": 0.9439,
+      "step": 1698
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.99303359701554e-05,
+      "loss": 0.9089,
+      "step": 1699
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9930186570609602e-05,
+      "loss": 1.055,
+      "step": 1700
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9930037011597455e-05,
+      "loss": 0.9673,
+      "step": 1701
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9929887293121357e-05,
+      "loss": 1.1037,
+      "step": 1702
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992973741518371e-05,
+      "loss": 0.9226,
+      "step": 1703
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9929587377786924e-05,
+      "loss": 0.8184,
+      "step": 1704
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9929437180933407e-05,
+      "loss": 0.9903,
+      "step": 1705
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992928682462557e-05,
+      "loss": 1.0678,
+      "step": 1706
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9929136308865828e-05,
+      "loss": 0.9315,
+      "step": 1707
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9928985633656604e-05,
+      "loss": 0.9227,
+      "step": 1708
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992883479900031e-05,
+      "loss": 0.9346,
+      "step": 1709
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9928683804899368e-05,
+      "loss": 0.9638,
+      "step": 1710
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9928532651356205e-05,
+      "loss": 0.9511,
+      "step": 1711
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9928381338373252e-05,
+      "loss": 0.9417,
+      "step": 1712
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9928229865952935e-05,
+      "loss": 1.0282,
+      "step": 1713
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9928078234097687e-05,
+      "loss": 1.1121,
+      "step": 1714
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9927926442809943e-05,
+      "loss": 0.9825,
+      "step": 1715
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9927774492092137e-05,
+      "loss": 0.933,
+      "step": 1716
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9927622381946718e-05,
+      "loss": 1.0062,
+      "step": 1717
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9927470112376122e-05,
+      "loss": 0.9305,
+      "step": 1718
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9927317683382795e-05,
+      "loss": 1.0267,
+      "step": 1719
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9927165094969187e-05,
+      "loss": 0.9607,
+      "step": 1720
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9927012347137748e-05,
+      "loss": 0.9428,
+      "step": 1721
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9926859439890927e-05,
+      "loss": 0.937,
+      "step": 1722
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9926706373231184e-05,
+      "loss": 0.889,
+      "step": 1723
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9926553147160975e-05,
+      "loss": 0.8442,
+      "step": 1724
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992639976168276e-05,
+      "loss": 0.8946,
+      "step": 1725
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9926246216799003e-05,
+      "loss": 0.9434,
+      "step": 1726
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9926092512512172e-05,
+      "loss": 0.9711,
+      "step": 1727
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9925938648824733e-05,
+      "loss": 1.033,
+      "step": 1728
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9925784625739157e-05,
+      "loss": 0.8439,
+      "step": 1729
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9925630443257918e-05,
+      "loss": 1.0407,
+      "step": 1730
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9925476101383493e-05,
+      "loss": 1.0511,
+      "step": 1731
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992532160011836e-05,
+      "loss": 0.9926,
+      "step": 1732
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992516693946499e-05,
+      "loss": 0.9775,
+      "step": 1733
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9925012119425885e-05,
+      "loss": 0.9484,
+      "step": 1734
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9924857140003523e-05,
+      "loss": 0.9097,
+      "step": 1735
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9924702001200386e-05,
+      "loss": 0.8834,
+      "step": 1736
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9924546703018974e-05,
+      "loss": 0.9774,
+      "step": 1737
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9924391245461777e-05,
+      "loss": 0.9709,
+      "step": 1738
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9924235628531292e-05,
+      "loss": 0.7806,
+      "step": 1739
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992407985223002e-05,
+      "loss": 0.7752,
+      "step": 1740
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992392391656046e-05,
+      "loss": 0.9365,
+      "step": 1741
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992376782152512e-05,
+      "loss": 0.9407,
+      "step": 1742
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9923611567126505e-05,
+      "loss": 0.9433,
+      "step": 1743
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992345515336712e-05,
+      "loss": 0.7415,
+      "step": 1744
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992329858024948e-05,
+      "loss": 0.9596,
+      "step": 1745
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9923141847776098e-05,
+      "loss": 1.0259,
+      "step": 1746
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9922984955949497e-05,
+      "loss": 0.9979,
+      "step": 1747
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9922827904772187e-05,
+      "loss": 0.947,
+      "step": 1748
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.99226706942467e-05,
+      "loss": 0.9664,
+      "step": 1749
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992251332437555e-05,
+      "loss": 1.0475,
+      "step": 1750
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992235579516127e-05,
+      "loss": 0.9291,
+      "step": 1751
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9922198106606393e-05,
+      "loss": 1.0253,
+      "step": 1752
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9922040258713447e-05,
+      "loss": 0.9431,
+      "step": 1753
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9921882251484967e-05,
+      "loss": 0.9407,
+      "step": 1754
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992172408492349e-05,
+      "loss": 1.0511,
+      "step": 1755
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9921565759031557e-05,
+      "loss": 0.9321,
+      "step": 1756
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992140727381171e-05,
+      "loss": 1.009,
+      "step": 1757
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9921248629266495e-05,
+      "loss": 1.0508,
+      "step": 1758
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992108982539846e-05,
+      "loss": 0.8665,
+      "step": 1759
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992093086221015e-05,
+      "loss": 0.9063,
+      "step": 1760
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9920771739704127e-05,
+      "loss": 0.9881,
+      "step": 1761
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992061245788294e-05,
+      "loss": 1.067,
+      "step": 1762
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9920453016749146e-05,
+      "loss": 0.9518,
+      "step": 1763
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992029341630531e-05,
+      "loss": 0.9028,
+      "step": 1764
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992013365655399e-05,
+      "loss": 0.9753,
+      "step": 1765
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991997373749776e-05,
+      "loss": 0.9089,
+      "step": 1766
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9919813659139177e-05,
+      "loss": 0.929,
+      "step": 1767
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9919653421480816e-05,
+      "loss": 1.0499,
+      "step": 1768
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9919493024525255e-05,
+      "loss": 0.8201,
+      "step": 1769
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9919332468275062e-05,
+      "loss": 0.9088,
+      "step": 1770
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991917175273282e-05,
+      "loss": 0.942,
+      "step": 1771
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991901087790111e-05,
+      "loss": 0.9178,
+      "step": 1772
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9918849843782513e-05,
+      "loss": 0.9424,
+      "step": 1773
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9918688650379622e-05,
+      "loss": 1.0003,
+      "step": 1774
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9918527297695014e-05,
+      "loss": 0.9537,
+      "step": 1775
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991836578573129e-05,
+      "loss": 0.8927,
+      "step": 1776
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9918204114491034e-05,
+      "loss": 1.0452,
+      "step": 1777
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9918042283976855e-05,
+      "loss": 0.9591,
+      "step": 1778
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991788029419134e-05,
+      "loss": 1.079,
+      "step": 1779
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.99177181451371e-05,
+      "loss": 1.0281,
+      "step": 1780
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991755583681673e-05,
+      "loss": 0.9142,
+      "step": 1781
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9917393369232843e-05,
+      "loss": 0.9738,
+      "step": 1782
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9917230742388046e-05,
+      "loss": 0.8523,
+      "step": 1783
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9917067956284947e-05,
+      "loss": 1.0568,
+      "step": 1784
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9916905010926165e-05,
+      "loss": 1.0512,
+      "step": 1785
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9916741906314317e-05,
+      "loss": 0.9144,
+      "step": 1786
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991657864245202e-05,
+      "loss": 1.0244,
+      "step": 1787
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9916415219341895e-05,
+      "loss": 0.9334,
+      "step": 1788
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9916251636986568e-05,
+      "loss": 0.9018,
+      "step": 1789
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9916087895388664e-05,
+      "loss": 0.988,
+      "step": 1790
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9915923994550816e-05,
+      "loss": 1.0435,
+      "step": 1791
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9915759934475653e-05,
+      "loss": 0.8718,
+      "step": 1792
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991559571516581e-05,
+      "loss": 0.987,
+      "step": 1793
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9915431336623928e-05,
+      "loss": 0.9131,
+      "step": 1794
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9915266798852642e-05,
+      "loss": 0.9265,
+      "step": 1795
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9915102101854594e-05,
+      "loss": 0.8186,
+      "step": 1796
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9914937245632432e-05,
+      "loss": 0.9987,
+      "step": 1797
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9914772230188797e-05,
+      "loss": 1.0377,
+      "step": 1798
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991460705552635e-05,
+      "loss": 0.8025,
+      "step": 1799
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9914441721647737e-05,
+      "loss": 0.7917,
+      "step": 1800
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9914276228555613e-05,
+      "loss": 1.1536,
+      "step": 1801
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991411057625263e-05,
+      "loss": 0.9916,
+      "step": 1802
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9913944764741463e-05,
+      "loss": 1.023,
+      "step": 1803
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9913778794024764e-05,
+      "loss": 0.9922,
+      "step": 1804
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9913612664105196e-05,
+      "loss": 1.0063,
+      "step": 1805
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9913446374985434e-05,
+      "loss": 0.9739,
+      "step": 1806
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9913279926668146e-05,
+      "loss": 0.9861,
+      "step": 1807
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9913113319156e-05,
+      "loss": 0.9619,
+      "step": 1808
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9912946552451683e-05,
+      "loss": 1.092,
+      "step": 1809
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991277962655786e-05,
+      "loss": 0.9628,
+      "step": 1810
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9912612541477222e-05,
+      "loss": 1.0132,
+      "step": 1811
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9912445297212442e-05,
+      "loss": 0.8212,
+      "step": 1812
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9912277893766218e-05,
+      "loss": 0.9017,
+      "step": 1813
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991211033114123e-05,
+      "loss": 1.0133,
+      "step": 1814
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991194260934017e-05,
+      "loss": 0.9127,
+      "step": 1815
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9911774728365732e-05,
+      "loss": 0.88,
+      "step": 1816
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991160668822061e-05,
+      "loss": 0.9189,
+      "step": 1817
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9911438488907506e-05,
+      "loss": 0.9893,
+      "step": 1818
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991127013042912e-05,
+      "loss": 0.853,
+      "step": 1819
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9911101612788157e-05,
+      "loss": 1.107,
+      "step": 1820
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991093293598732e-05,
+      "loss": 1.0224,
+      "step": 1821
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9910764100029316e-05,
+      "loss": 0.9197,
+      "step": 1822
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9910595104916864e-05,
+      "loss": 0.9583,
+      "step": 1823
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991042595065267e-05,
+      "loss": 1.0266,
+      "step": 1824
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9910256637239455e-05,
+      "loss": 0.9239,
+      "step": 1825
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9910087164679938e-05,
+      "loss": 0.9505,
+      "step": 1826
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9909917532976838e-05,
+      "loss": 1.0932,
+      "step": 1827
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990974774213288e-05,
+      "loss": 0.957,
+      "step": 1828
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990957779215079e-05,
+      "loss": 0.9149,
+      "step": 1829
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9909407683033296e-05,
+      "loss": 0.7995,
+      "step": 1830
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9909237414783137e-05,
+      "loss": 1.0912,
+      "step": 1831
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990906698740304e-05,
+      "loss": 0.9447,
+      "step": 1832
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9908896400895745e-05,
+      "loss": 0.8574,
+      "step": 1833
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9908725655263986e-05,
+      "loss": 0.9181,
+      "step": 1834
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9908554750510513e-05,
+      "loss": 1.0945,
+      "step": 1835
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9908383686638068e-05,
+      "loss": 0.8292,
+      "step": 1836
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9908212463649396e-05,
+      "loss": 0.8692,
+      "step": 1837
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990804108154725e-05,
+      "loss": 0.9574,
+      "step": 1838
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9907869540334374e-05,
+      "loss": 0.9294,
+      "step": 1839
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9907697840013532e-05,
+      "loss": 0.9278,
+      "step": 1840
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9907525980587475e-05,
+      "loss": 0.9079,
+      "step": 1841
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9907353962058968e-05,
+      "loss": 1.0751,
+      "step": 1842
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9907181784430768e-05,
+      "loss": 0.9149,
+      "step": 1843
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9907009447705646e-05,
+      "loss": 1.022,
+      "step": 1844
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9906836951886365e-05,
+      "loss": 0.9136,
+      "step": 1845
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9906664296975696e-05,
+      "loss": 0.9218,
+      "step": 1846
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9906491482976413e-05,
+      "loss": 1.0365,
+      "step": 1847
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9906318509891292e-05,
+      "loss": 0.9444,
+      "step": 1848
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9906145377723107e-05,
+      "loss": 0.8627,
+      "step": 1849
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990597208647464e-05,
+      "loss": 0.8656,
+      "step": 1850
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9905798636148675e-05,
+      "loss": 0.9063,
+      "step": 1851
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9905625026748e-05,
+      "loss": 0.9277,
+      "step": 1852
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9905451258275396e-05,
+      "loss": 1.0892,
+      "step": 1853
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9905277330733655e-05,
+      "loss": 0.8552,
+      "step": 1854
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9905103244125573e-05,
+      "loss": 1.0192,
+      "step": 1855
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9904928998453947e-05,
+      "loss": 0.9111,
+      "step": 1856
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9904754593721575e-05,
+      "loss": 0.8842,
+      "step": 1857
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990458002993125e-05,
+      "loss": 1.0359,
+      "step": 1858
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990440530708578e-05,
+      "loss": 1.0148,
+      "step": 1859
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9904230425187978e-05,
+      "loss": 0.9852,
+      "step": 1860
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9904055384240642e-05,
+      "loss": 0.9463,
+      "step": 1861
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990388018424659e-05,
+      "loss": 0.9469,
+      "step": 1862
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990370482520863e-05,
+      "loss": 0.9856,
+      "step": 1863
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9903529307129582e-05,
+      "loss": 0.9173,
+      "step": 1864
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9903353630012262e-05,
+      "loss": 0.9092,
+      "step": 1865
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9903177793859488e-05,
+      "loss": 1.0183,
+      "step": 1866
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9903001798674097e-05,
+      "loss": 1.0401,
+      "step": 1867
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.99028256444589e-05,
+      "loss": 0.9216,
+      "step": 1868
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9902649331216732e-05,
+      "loss": 0.9142,
+      "step": 1869
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9902472858950428e-05,
+      "loss": 0.8275,
+      "step": 1870
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9902296227662815e-05,
+      "loss": 1.131,
+      "step": 1871
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9902119437356737e-05,
+      "loss": 1.0069,
+      "step": 1872
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9901942488035026e-05,
+      "loss": 0.9419,
+      "step": 1873
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9901765379700527e-05,
+      "loss": 0.9306,
+      "step": 1874
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9901588112356084e-05,
+      "loss": 0.9592,
+      "step": 1875
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990141068600454e-05,
+      "loss": 0.9472,
+      "step": 1876
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990123310064875e-05,
+      "loss": 0.9246,
+      "step": 1877
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9901055356291567e-05,
+      "loss": 0.885,
+      "step": 1878
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9900877452935837e-05,
+      "loss": 0.93,
+      "step": 1879
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9900699390584424e-05,
+      "loss": 0.984,
+      "step": 1880
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9900521169240182e-05,
+      "loss": 1.0806,
+      "step": 1881
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990034278890598e-05,
+      "loss": 0.8832,
+      "step": 1882
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9900164249584676e-05,
+      "loss": 0.8834,
+      "step": 1883
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989998555127914e-05,
+      "loss": 0.8367,
+      "step": 1884
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9899806693992242e-05,
+      "loss": 0.9315,
+      "step": 1885
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9899627677726855e-05,
+      "loss": 1.061,
+      "step": 1886
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989944850248585e-05,
+      "loss": 0.851,
+      "step": 1887
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9899269168272107e-05,
+      "loss": 0.9052,
+      "step": 1888
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9899089675088505e-05,
+      "loss": 0.9219,
+      "step": 1889
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989891002293793e-05,
+      "loss": 0.9135,
+      "step": 1890
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989873021182326e-05,
+      "loss": 1.0724,
+      "step": 1891
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989855024174739e-05,
+      "loss": 1.032,
+      "step": 1892
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9898370112713204e-05,
+      "loss": 0.8019,
+      "step": 1893
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9898189824723602e-05,
+      "loss": 1.028,
+      "step": 1894
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989800937778147e-05,
+      "loss": 0.8869,
+      "step": 1895
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9897828771889715e-05,
+      "loss": 1.0006,
+      "step": 1896
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989764800705123e-05,
+      "loss": 0.9478,
+      "step": 1897
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989746708326892e-05,
+      "loss": 1.0051,
+      "step": 1898
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9897286000545688e-05,
+      "loss": 1.0781,
+      "step": 1899
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9897104758884448e-05,
+      "loss": 0.9985,
+      "step": 1900
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989692335828811e-05,
+      "loss": 0.8225,
+      "step": 1901
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9896741798759578e-05,
+      "loss": 1.0285,
+      "step": 1902
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9896560080301775e-05,
+      "loss": 0.9929,
+      "step": 1903
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9896378202917623e-05,
+      "loss": 0.9802,
+      "step": 1904
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9896196166610036e-05,
+      "loss": 0.9086,
+      "step": 1905
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989601397138194e-05,
+      "loss": 0.7836,
+      "step": 1906
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9895831617236258e-05,
+      "loss": 0.8797,
+      "step": 1907
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9895649104175922e-05,
+      "loss": 1.0421,
+      "step": 1908
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9895466432203857e-05,
+      "loss": 1.0578,
+      "step": 1909
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9895283601323007e-05,
+      "loss": 0.9908,
+      "step": 1910
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.98951006115363e-05,
+      "loss": 1.0431,
+      "step": 1911
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989491746284667e-05,
+      "loss": 1.0161,
+      "step": 1912
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9894734155257074e-05,
+      "loss": 0.9764,
+      "step": 1913
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9894550688770442e-05,
+      "loss": 1.0096,
+      "step": 1914
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9894367063389727e-05,
+      "loss": 1.0063,
+      "step": 1915
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.989418327911787e-05,
+      "loss": 1.006,
+      "step": 1916
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.989399933595783e-05,
+      "loss": 0.8233,
+      "step": 1917
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.989381523391256e-05,
+      "loss": 0.8831,
+      "step": 1918
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9893630972985016e-05,
+      "loss": 1.0174,
+      "step": 1919
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9893446553178154e-05,
+      "loss": 1.0172,
+      "step": 1920
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.989326197449494e-05,
+      "loss": 0.9187,
+      "step": 1921
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9893077236938332e-05,
+      "loss": 0.8387,
+      "step": 1922
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.98928923405113e-05,
+      "loss": 0.9147,
+      "step": 1923
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9892707285216816e-05,
+      "loss": 0.8607,
+      "step": 1924
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9892522071057848e-05,
+      "loss": 1.0227,
+      "step": 1925
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9892336698037373e-05,
+      "loss": 1.0464,
+      "step": 1926
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9892151166158366e-05,
+      "loss": 0.951,
+      "step": 1927
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9891965475423808e-05,
+      "loss": 0.9266,
+      "step": 1928
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9891779625836677e-05,
+      "loss": 0.8796,
+      "step": 1929
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9891593617399962e-05,
+      "loss": 0.921,
+      "step": 1930
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.989140745011665e-05,
+      "loss": 0.9307,
+      "step": 1931
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9891221123989727e-05,
+      "loss": 0.9788,
+      "step": 1932
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9891034639022184e-05,
+      "loss": 0.9114,
+      "step": 1933
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9890847995217022e-05,
+      "loss": 0.8983,
+      "step": 1934
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9890661192577236e-05,
+      "loss": 0.8739,
+      "step": 1935
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9890474231105822e-05,
+      "loss": 1.0043,
+      "step": 1936
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9890287110805787e-05,
+      "loss": 0.8434,
+      "step": 1937
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9890099831680135e-05,
+      "loss": 0.9312,
+      "step": 1938
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988991239373187e-05,
+      "loss": 1.0025,
+      "step": 1939
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988972479696401e-05,
+      "loss": 1.0597,
+      "step": 1940
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988953704137956e-05,
+      "loss": 1.0276,
+      "step": 1941
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9889349126981535e-05,
+      "loss": 0.92,
+      "step": 1942
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9889161053772958e-05,
+      "loss": 0.9173,
+      "step": 1943
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9888972821756846e-05,
+      "loss": 0.7796,
+      "step": 1944
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988878443093622e-05,
+      "loss": 0.9544,
+      "step": 1945
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9888595881314106e-05,
+      "loss": 1.0163,
+      "step": 1946
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9888407172893536e-05,
+      "loss": 1.0097,
+      "step": 1947
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9888218305677534e-05,
+      "loss": 0.8471,
+      "step": 1948
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9888029279669143e-05,
+      "loss": 0.9862,
+      "step": 1949
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988784009487139e-05,
+      "loss": 1.0526,
+      "step": 1950
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9887650751287314e-05,
+      "loss": 0.9066,
+      "step": 1951
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9887461248919956e-05,
+      "loss": 0.9661,
+      "step": 1952
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9887271587772363e-05,
+      "loss": 0.9452,
+      "step": 1953
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9887081767847577e-05,
+      "loss": 0.9759,
+      "step": 1954
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9886891789148643e-05,
+      "loss": 0.9505,
+      "step": 1955
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9886701651678618e-05,
+      "loss": 0.795,
+      "step": 1956
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9886511355440558e-05,
+      "loss": 0.9408,
+      "step": 1957
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9886320900437508e-05,
+      "loss": 0.9924,
+      "step": 1958
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9886130286672532e-05,
+      "loss": 0.9511,
+      "step": 1959
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9885939514148696e-05,
+      "loss": 1.0063,
+      "step": 1960
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9885748582869056e-05,
+      "loss": 0.8849,
+      "step": 1961
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9885557492836685e-05,
+      "loss": 1.1069,
+      "step": 1962
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9885366244054646e-05,
+      "loss": 0.9266,
+      "step": 1963
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988517483652601e-05,
+      "loss": 0.8489,
+      "step": 1964
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9884983270253855e-05,
+      "loss": 0.9152,
+      "step": 1965
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9884791545241256e-05,
+      "loss": 0.9658,
+      "step": 1966
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988459966149129e-05,
+      "loss": 1.0197,
+      "step": 1967
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988440761900704e-05,
+      "loss": 0.9463,
+      "step": 1968
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9884215417791587e-05,
+      "loss": 0.8713,
+      "step": 1969
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9884023057848025e-05,
+      "loss": 0.8662,
+      "step": 1970
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9883830539179435e-05,
+      "loss": 0.9393,
+      "step": 1971
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988363786178891e-05,
+      "loss": 1.0184,
+      "step": 1972
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9883445025679552e-05,
+      "loss": 1.0428,
+      "step": 1973
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9883252030854444e-05,
+      "loss": 0.9266,
+      "step": 1974
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9883058877316697e-05,
+      "loss": 0.933,
+      "step": 1975
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9882865565069408e-05,
+      "loss": 1.0083,
+      "step": 1976
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9882672094115683e-05,
+      "loss": 1.0519,
+      "step": 1977
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9882478464458622e-05,
+      "loss": 0.913,
+      "step": 1978
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9882284676101347e-05,
+      "loss": 1.026,
+      "step": 1979
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988209072904696e-05,
+      "loss": 0.9891,
+      "step": 1980
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9881896623298582e-05,
+      "loss": 0.8493,
+      "step": 1981
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9881702358859323e-05,
+      "loss": 1.0383,
+      "step": 1982
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9881507935732308e-05,
+      "loss": 0.9943,
+      "step": 1983
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988131335392066e-05,
+      "loss": 1.0337,
+      "step": 1984
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9881118613427502e-05,
+      "loss": 0.8314,
+      "step": 1985
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9880923714255956e-05,
+      "loss": 1.1445,
+      "step": 1986
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988072865640916e-05,
+      "loss": 0.9522,
+      "step": 1987
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9880533439890245e-05,
+      "loss": 0.9358,
+      "step": 1988
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9880338064702337e-05,
+      "loss": 0.9981,
+      "step": 1989
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9880142530848587e-05,
+      "loss": 1.0105,
+      "step": 1990
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9879946838332125e-05,
+      "loss": 0.7722,
+      "step": 1991
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9879750987156095e-05,
+      "loss": 0.9416,
+      "step": 1992
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9879554977323653e-05,
+      "loss": 1.0813,
+      "step": 1993
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987935880883793e-05,
+      "loss": 0.8803,
+      "step": 1994
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9879162481702084e-05,
+      "loss": 1.0813,
+      "step": 1995
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987896599591927e-05,
+      "loss": 0.8378,
+      "step": 1996
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9878769351492644e-05,
+      "loss": 0.9275,
+      "step": 1997
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9878572548425356e-05,
+      "loss": 1.0121,
+      "step": 1998
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9878375586720574e-05,
+      "loss": 1.025,
+      "step": 1999
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987817846638146e-05,
+      "loss": 0.9145,
+      "step": 2000
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9877981187411176e-05,
+      "loss": 0.9281,
+      "step": 2001
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9877783749812892e-05,
+      "loss": 0.98,
+      "step": 2002
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9877586153589776e-05,
+      "loss": 1.0264,
+      "step": 2003
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9877388398745006e-05,
+      "loss": 0.9436,
+      "step": 2004
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9877190485281756e-05,
+      "loss": 1.0133,
+      "step": 2005
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9876992413203205e-05,
+      "loss": 0.934,
+      "step": 2006
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987679418251253e-05,
+      "loss": 0.9459,
+      "step": 2007
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9876595793212916e-05,
+      "loss": 1.0033,
+      "step": 2008
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9876397245307552e-05,
+      "loss": 0.9703,
+      "step": 2009
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9876198538799622e-05,
+      "loss": 0.9138,
+      "step": 2010
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9875999673692318e-05,
+      "loss": 1.0104,
+      "step": 2011
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9875800649988835e-05,
+      "loss": 1.1432,
+      "step": 2012
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9875601467692372e-05,
+      "loss": 1.1325,
+      "step": 2013
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9875402126806126e-05,
+      "loss": 0.9361,
+      "step": 2014
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987520262733329e-05,
+      "loss": 0.8998,
+      "step": 2015
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987500296927708e-05,
+      "loss": 0.9022,
+      "step": 2016
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987480315264069e-05,
+      "loss": 1.0436,
+      "step": 2017
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9874603177427337e-05,
+      "loss": 0.8896,
+      "step": 2018
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9874403043640234e-05,
+      "loss": 0.7961,
+      "step": 2019
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9874202751282587e-05,
+      "loss": 0.873,
+      "step": 2020
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987400230035762e-05,
+      "loss": 0.9356,
+      "step": 2021
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9873801690868548e-05,
+      "loss": 0.9576,
+      "step": 2022
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9873600922818593e-05,
+      "loss": 0.9159,
+      "step": 2023
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9873399996210983e-05,
+      "loss": 0.9514,
+      "step": 2024
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987319891104894e-05,
+      "loss": 0.8841,
+      "step": 2025
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987299766733569e-05,
+      "loss": 0.9267,
+      "step": 2026
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987279626507447e-05,
+      "loss": 0.7909,
+      "step": 2027
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9872594704268516e-05,
+      "loss": 0.8471,
+      "step": 2028
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987239298492106e-05,
+      "loss": 0.8275,
+      "step": 2029
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9872191107035347e-05,
+      "loss": 0.9222,
+      "step": 2030
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987198907061461e-05,
+      "loss": 0.9656,
+      "step": 2031
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9871786875662102e-05,
+      "loss": 0.8123,
+      "step": 2032
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9871584522181068e-05,
+      "loss": 0.7369,
+      "step": 2033
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9871382010174755e-05,
+      "loss": 0.9389,
+      "step": 2034
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9871179339646415e-05,
+      "loss": 1.0023,
+      "step": 2035
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9870976510599305e-05,
+      "loss": 0.9341,
+      "step": 2036
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987077352303668e-05,
+      "loss": 0.905,
+      "step": 2037
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9870570376961805e-05,
+      "loss": 0.943,
+      "step": 2038
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9870367072377937e-05,
+      "loss": 0.8225,
+      "step": 2039
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9870163609288336e-05,
+      "loss": 0.8867,
+      "step": 2040
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9869959987696282e-05,
+      "loss": 1.0342,
+      "step": 2041
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9869756207605038e-05,
+      "loss": 0.9771,
+      "step": 2042
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9869552269017876e-05,
+      "loss": 0.9572,
+      "step": 2043
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9869348171938074e-05,
+      "loss": 1.071,
+      "step": 2044
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9869143916368903e-05,
+      "loss": 0.9035,
+      "step": 2045
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9868939502313647e-05,
+      "loss": 0.8827,
+      "step": 2046
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986873492977559e-05,
+      "loss": 0.9789,
+      "step": 2047
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986853019875802e-05,
+      "loss": 0.8633,
+      "step": 2048
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9868325309264217e-05,
+      "loss": 1.084,
+      "step": 2049
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9868120261297476e-05,
+      "loss": 0.9394,
+      "step": 2050
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986791505486109e-05,
+      "loss": 1.0307,
+      "step": 2051
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9867709689958352e-05,
+      "loss": 0.9107,
+      "step": 2052
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9867504166592563e-05,
+      "loss": 0.9623,
+      "step": 2053
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9867298484767022e-05,
+      "loss": 0.9813,
+      "step": 2054
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986709264448503e-05,
+      "loss": 0.9373,
+      "step": 2055
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9866886645749895e-05,
+      "loss": 1.0257,
+      "step": 2056
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9866680488564927e-05,
+      "loss": 0.9768,
+      "step": 2057
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986647417293343e-05,
+      "loss": 0.9879,
+      "step": 2058
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9866267698858722e-05,
+      "loss": 1.032,
+      "step": 2059
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986606106634412e-05,
+      "loss": 0.9867,
+      "step": 2060
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986585427539294e-05,
+      "loss": 0.8468,
+      "step": 2061
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.98656473260085e-05,
+      "loss": 0.944,
+      "step": 2062
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9865440218194126e-05,
+      "loss": 0.8936,
+      "step": 2063
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9865232951953145e-05,
+      "loss": 0.9235,
+      "step": 2064
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9865025527288888e-05,
+      "loss": 0.9564,
+      "step": 2065
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9864817944204682e-05,
+      "loss": 0.972,
+      "step": 2066
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9864610202703858e-05,
+      "loss": 0.9664,
+      "step": 2067
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9864402302789757e-05,
+      "loss": 0.8726,
+      "step": 2068
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9864194244465715e-05,
+      "loss": 1.0383,
+      "step": 2069
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9863986027735077e-05,
+      "loss": 0.8314,
+      "step": 2070
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9863777652601178e-05,
+      "loss": 0.8813,
+      "step": 2071
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9863569119067373e-05,
+      "loss": 0.9041,
+      "step": 2072
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986336042713701e-05,
+      "loss": 1.0349,
+      "step": 2073
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9863151576813434e-05,
+      "loss": 0.7252,
+      "step": 2074
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9862942568100004e-05,
+      "loss": 0.9365,
+      "step": 2075
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9862733401000077e-05,
+      "loss": 0.8386,
+      "step": 2076
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986252407551701e-05,
+      "loss": 0.8643,
+      "step": 2077
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9862314591654163e-05,
+      "loss": 0.9155,
+      "step": 2078
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9862104949414902e-05,
+      "loss": 0.9977,
+      "step": 2079
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9861895148802594e-05,
+      "loss": 0.8193,
+      "step": 2080
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9861685189820608e-05,
+      "loss": 1.0406,
+      "step": 2081
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9861475072472313e-05,
+      "loss": 1.0196,
+      "step": 2082
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986126479676109e-05,
+      "loss": 0.9094,
+      "step": 2083
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986105436269031e-05,
+      "loss": 0.9274,
+      "step": 2084
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986084377026335e-05,
+      "loss": 1.014,
+      "step": 2085
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.98606330194836e-05,
+      "loss": 0.9763,
+      "step": 2086
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9860422110354435e-05,
+      "loss": 1.0366,
+      "step": 2087
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986021104287925e-05,
+      "loss": 1.0033,
+      "step": 2088
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985999981706143e-05,
+      "loss": 1.0403,
+      "step": 2089
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985978843290437e-05,
+      "loss": 1.0143,
+      "step": 2090
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985957689041146e-05,
+      "loss": 0.9757,
+      "step": 2091
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9859365189586102e-05,
+      "loss": 0.9201,
+      "step": 2092
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9859153330431692e-05,
+      "loss": 0.9621,
+      "step": 2093
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9858941312951633e-05,
+      "loss": 0.9558,
+      "step": 2094
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985872913714933e-05,
+      "loss": 1.0386,
+      "step": 2095
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9858516803028193e-05,
+      "loss": 0.9513,
+      "step": 2096
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985830431059163e-05,
+      "loss": 0.9327,
+      "step": 2097
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9858091659843054e-05,
+      "loss": 0.9213,
+      "step": 2098
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9857878850785877e-05,
+      "loss": 1.0257,
+      "step": 2099
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9857665883423518e-05,
+      "loss": 1.0793,
+      "step": 2100
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9857452757759398e-05,
+      "loss": 1.0065,
+      "step": 2101
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9857239473796936e-05,
+      "loss": 0.9774,
+      "step": 2102
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985702603153956e-05,
+      "loss": 0.9361,
+      "step": 2103
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9856812430990705e-05,
+      "loss": 0.9786,
+      "step": 2104
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9856598672153783e-05,
+      "loss": 0.8753,
+      "step": 2105
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9856384755032245e-05,
+      "loss": 0.8519,
+      "step": 2106
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9856170679629516e-05,
+      "loss": 1.0157,
+      "step": 2107
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9855956445949037e-05,
+      "loss": 0.9341,
+      "step": 2108
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9855742053994246e-05,
+      "loss": 0.9226,
+      "step": 2109
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9855527503768587e-05,
+      "loss": 0.9751,
+      "step": 2110
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985531279527551e-05,
+      "loss": 0.8351,
+      "step": 2111
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9855097928518456e-05,
+      "loss": 0.876,
+      "step": 2112
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985488290350088e-05,
+      "loss": 0.8503,
+      "step": 2113
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985466772022623e-05,
+      "loss": 0.896,
+      "step": 2114
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9854452378697968e-05,
+      "loss": 0.9042,
+      "step": 2115
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985423687891955e-05,
+      "loss": 0.9352,
+      "step": 2116
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9854021220894433e-05,
+      "loss": 0.9026,
+      "step": 2117
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9853805404626084e-05,
+      "loss": 1.0422,
+      "step": 2118
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985358943011797e-05,
+      "loss": 0.9453,
+      "step": 2119
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9853373297373554e-05,
+      "loss": 0.829,
+      "step": 2120
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9853157006396312e-05,
+      "loss": 0.9024,
+      "step": 2121
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985294055718971e-05,
+      "loss": 0.9288,
+      "step": 2122
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9852723949757234e-05,
+      "loss": 0.9644,
+      "step": 2123
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9852507184102356e-05,
+      "loss": 0.9345,
+      "step": 2124
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9852290260228558e-05,
+      "loss": 0.8879,
+      "step": 2125
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985207317813933e-05,
+      "loss": 0.9977,
+      "step": 2126
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9851855937838144e-05,
+      "loss": 1.0031,
+      "step": 2127
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.98516385393285e-05,
+      "loss": 0.8203,
+      "step": 2128
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9851420982613888e-05,
+      "loss": 0.8546,
+      "step": 2129
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9851203267697796e-05,
+      "loss": 1.01,
+      "step": 2130
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9850985394583725e-05,
+      "loss": 1.0333,
+      "step": 2131
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985076736327517e-05,
+      "loss": 0.9025,
+      "step": 2132
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985054917377564e-05,
+      "loss": 1.0372,
+      "step": 2133
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9850330826088632e-05,
+      "loss": 0.9445,
+      "step": 2134
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9850112320217652e-05,
+      "loss": 1.064,
+      "step": 2135
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984989365616621e-05,
+      "loss": 0.8719,
+      "step": 2136
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984967483393782e-05,
+      "loss": 0.9393,
+      "step": 2137
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9849455853535996e-05,
+      "loss": 0.912,
+      "step": 2138
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9849236714964256e-05,
+      "loss": 0.8128,
+      "step": 2139
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984901741822611e-05,
+      "loss": 0.8183,
+      "step": 2140
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984879796332509e-05,
+      "loss": 0.9804,
+      "step": 2141
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9848578350264713e-05,
+      "loss": 1.0509,
+      "step": 2142
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984835857904851e-05,
+      "loss": 0.998,
+      "step": 2143
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9848138649680008e-05,
+      "loss": 0.8168,
+      "step": 2144
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984791856216274e-05,
+      "loss": 0.9219,
+      "step": 2145
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984769831650024e-05,
+      "loss": 0.8786,
+      "step": 2146
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9847477912696046e-05,
+      "loss": 1.0126,
+      "step": 2147
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.98472573507537e-05,
+      "loss": 0.8591,
+      "step": 2148
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984703663067673e-05,
+      "loss": 0.9088,
+      "step": 2149
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.98468157524687e-05,
+      "loss": 0.9176,
+      "step": 2150
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9846594716133144e-05,
+      "loss": 0.897,
+      "step": 2151
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9846373521673613e-05,
+      "loss": 0.9612,
+      "step": 2152
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9846152169093663e-05,
+      "loss": 0.8151,
+      "step": 2153
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984593065839685e-05,
+      "loss": 0.9745,
+      "step": 2154
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9845708989586726e-05,
+      "loss": 0.9311,
+      "step": 2155
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9845487162666853e-05,
+      "loss": 0.9704,
+      "step": 2156
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9845265177640795e-05,
+      "loss": 0.933,
+      "step": 2157
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984504303451211e-05,
+      "loss": 0.9089,
+      "step": 2158
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984482073328438e-05,
+      "loss": 1.0669,
+      "step": 2159
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9844598273961156e-05,
+      "loss": 1.0116,
+      "step": 2160
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9844375656546023e-05,
+      "loss": 0.9262,
+      "step": 2161
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9844152881042554e-05,
+      "loss": 0.928,
+      "step": 2162
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9843929947454325e-05,
+      "loss": 0.8386,
+      "step": 2163
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9843706855784916e-05,
+      "loss": 0.9574,
+      "step": 2164
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984348360603791e-05,
+      "loss": 0.9429,
+      "step": 2165
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9843260198216888e-05,
+      "loss": 1.0559,
+      "step": 2166
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984303663232544e-05,
+      "loss": 0.9261,
+      "step": 2167
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9842812908367167e-05,
+      "loss": 1.0228,
+      "step": 2168
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9842589026345647e-05,
+      "loss": 1.0588,
+      "step": 2169
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984236498626448e-05,
+      "loss": 0.9738,
+      "step": 2170
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9842140788127264e-05,
+      "loss": 0.9996,
+      "step": 2171
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.98419164319376e-05,
+      "loss": 0.834,
+      "step": 2172
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9841691917699096e-05,
+      "loss": 0.8907,
+      "step": 2173
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9841467245415348e-05,
+      "loss": 1.0703,
+      "step": 2174
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9841242415089967e-05,
+      "loss": 0.7503,
+      "step": 2175
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9841017426726568e-05,
+      "loss": 0.9879,
+      "step": 2176
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.984079228032876e-05,
+      "loss": 0.8266,
+      "step": 2177
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9840566975900155e-05,
+      "loss": 0.9862,
+      "step": 2178
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.984034151344438e-05,
+      "loss": 0.9631,
+      "step": 2179
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9840115892965045e-05,
+      "loss": 0.9329,
+      "step": 2180
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983989011446578e-05,
+      "loss": 0.9974,
+      "step": 2181
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983966417795022e-05,
+      "loss": 0.9926,
+      "step": 2182
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9839438083421974e-05,
+      "loss": 0.8772,
+      "step": 2183
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9839211830884682e-05,
+      "loss": 0.9656,
+      "step": 2184
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983898542034198e-05,
+      "loss": 1.0384,
+      "step": 2185
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.98387588517975e-05,
+      "loss": 0.8536,
+      "step": 2186
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9838532125254883e-05,
+      "loss": 0.957,
+      "step": 2187
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9838305240717765e-05,
+      "loss": 0.9156,
+      "step": 2188
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9838078198189798e-05,
+      "loss": 0.985,
+      "step": 2189
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9837850997674618e-05,
+      "loss": 1.0293,
+      "step": 2190
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983762363917588e-05,
+      "loss": 0.9641,
+      "step": 2191
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9837396122697235e-05,
+      "loss": 0.8937,
+      "step": 2192
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983716844824233e-05,
+      "loss": 0.9883,
+      "step": 2193
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9836940615814836e-05,
+      "loss": 1.0365,
+      "step": 2194
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9836712625418393e-05,
+      "loss": 1.0388,
+      "step": 2195
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9836484477056676e-05,
+      "loss": 0.9828,
+      "step": 2196
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9836256170733343e-05,
+      "loss": 0.8706,
+      "step": 2197
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9836027706452063e-05,
+      "loss": 1.0454,
+      "step": 2198
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.98357990842165e-05,
+      "loss": 1.0294,
+      "step": 2199
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983557030403033e-05,
+      "loss": 0.8089,
+      "step": 2200
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983534136589723e-05,
+      "loss": 0.923,
+      "step": 2201
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9835112269820867e-05,
+      "loss": 0.8481,
+      "step": 2202
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9834883015804926e-05,
+      "loss": 0.9731,
+      "step": 2203
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9834653603853088e-05,
+      "loss": 0.7503,
+      "step": 2204
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9834424033969033e-05,
+      "loss": 0.9022,
+      "step": 2205
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9834194306156455e-05,
+      "loss": 0.8766,
+      "step": 2206
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9833964420419042e-05,
+      "loss": 0.9268,
+      "step": 2207
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9833734376760478e-05,
+      "loss": 0.8693,
+      "step": 2208
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9833504175184462e-05,
+      "loss": 0.9713,
+      "step": 2209
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9833273815694695e-05,
+      "loss": 0.8596,
+      "step": 2210
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983304329829487e-05,
+      "loss": 0.9926,
+      "step": 2211
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9832812622988694e-05,
+      "loss": 0.9631,
+      "step": 2212
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9832581789779864e-05,
+      "loss": 0.8951,
+      "step": 2213
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9832350798672096e-05,
+      "loss": 0.8859,
+      "step": 2214
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983211964966909e-05,
+      "loss": 0.8481,
+      "step": 2215
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9831888342774565e-05,
+      "loss": 1.0866,
+      "step": 2216
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9831656877992233e-05,
+      "loss": 0.9642,
+      "step": 2217
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983142525532581e-05,
+      "loss": 1.1157,
+      "step": 2218
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983119347477902e-05,
+      "loss": 0.85,
+      "step": 2219
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983096153635558e-05,
+      "loss": 0.9302,
+      "step": 2220
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983072944005922e-05,
+      "loss": 0.8048,
+      "step": 2221
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9830497185893657e-05,
+      "loss": 0.9647,
+      "step": 2222
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9830264773862633e-05,
+      "loss": 0.867,
+      "step": 2223
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9830032203969873e-05,
+      "loss": 0.8818,
+      "step": 2224
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9829799476219113e-05,
+      "loss": 0.9236,
+      "step": 2225
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9829566590614093e-05,
+      "loss": 0.8547,
+      "step": 2226
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9829333547158547e-05,
+      "loss": 0.9338,
+      "step": 2227
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9829100345856224e-05,
+      "loss": 0.9891,
+      "step": 2228
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9828866986710865e-05,
+      "loss": 1.0571,
+      "step": 2229
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982863346972622e-05,
+      "loss": 1.165,
+      "step": 2230
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9828399794906037e-05,
+      "loss": 0.9153,
+      "step": 2231
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9828165962254065e-05,
+      "loss": 1.0493,
+      "step": 2232
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9827931971774068e-05,
+      "loss": 1.019,
+      "step": 2233
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9827697823469797e-05,
+      "loss": 0.8932,
+      "step": 2234
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9827463517345015e-05,
+      "loss": 1.0246,
+      "step": 2235
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982722905340348e-05,
+      "loss": 0.9248,
+      "step": 2236
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9826994431648964e-05,
+      "loss": 1.0814,
+      "step": 2237
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982675965208523e-05,
+      "loss": 0.9061,
+      "step": 2238
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982652471471605e-05,
+      "loss": 0.8492,
+      "step": 2239
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9826289619545194e-05,
+      "loss": 0.8647,
+      "step": 2240
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9826054366576443e-05,
+      "loss": 0.9046,
+      "step": 2241
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982581895581357e-05,
+      "loss": 0.9814,
+      "step": 2242
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9825583387260355e-05,
+      "loss": 0.8761,
+      "step": 2243
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9825347660920588e-05,
+      "loss": 0.9731,
+      "step": 2244
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9825111776798044e-05,
+      "loss": 0.8372,
+      "step": 2245
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9824875734896517e-05,
+      "loss": 0.8501,
+      "step": 2246
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9824639535219804e-05,
+      "loss": 0.9118,
+      "step": 2247
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982440317777168e-05,
+      "loss": 1.0288,
+      "step": 2248
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982416666255596e-05,
+      "loss": 1.0631,
+      "step": 2249
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9823929989576433e-05,
+      "loss": 0.8168,
+      "step": 2250
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9823693158836898e-05,
+      "loss": 0.9948,
+      "step": 2251
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9823456170341162e-05,
+      "loss": 0.9589,
+      "step": 2252
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9823219024093028e-05,
+      "loss": 0.9676,
+      "step": 2253
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982298172009631e-05,
+      "loss": 0.8391,
+      "step": 2254
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9822744258354806e-05,
+      "loss": 1.0329,
+      "step": 2255
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9822506638872346e-05,
+      "loss": 0.8693,
+      "step": 2256
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9822268861652733e-05,
+      "loss": 0.9252,
+      "step": 2257
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982203092669979e-05,
+      "loss": 0.8714,
+      "step": 2258
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9821792834017343e-05,
+      "loss": 0.9257,
+      "step": 2259
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9821554583609205e-05,
+      "loss": 0.964,
+      "step": 2260
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982131617547921e-05,
+      "loss": 1.0538,
+      "step": 2261
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9821077609631184e-05,
+      "loss": 0.9824,
+      "step": 2262
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9820838886068958e-05,
+      "loss": 0.9412,
+      "step": 2263
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9820600004796363e-05,
+      "loss": 0.9472,
+      "step": 2264
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982036096581724e-05,
+      "loss": 0.9855,
+      "step": 2265
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9820121769135428e-05,
+      "loss": 0.9531,
+      "step": 2266
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9819882414754762e-05,
+      "loss": 0.9707,
+      "step": 2267
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.981964290267909e-05,
+      "loss": 0.9391,
+      "step": 2268
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9819403232912258e-05,
+      "loss": 0.9092,
+      "step": 2269
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9819163405458118e-05,
+      "loss": 0.8528,
+      "step": 2270
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9818923420320514e-05,
+      "loss": 1.0226,
+      "step": 2271
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9818683277503302e-05,
+      "loss": 0.8889,
+      "step": 2272
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9818442977010344e-05,
+      "loss": 0.8879,
+      "step": 2273
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9818202518845493e-05,
+      "loss": 0.9527,
+      "step": 2274
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.981796190301261e-05,
+      "loss": 0.8853,
+      "step": 2275
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9817721129515565e-05,
+      "loss": 0.922,
+      "step": 2276
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.981748019835822e-05,
+      "loss": 0.8984,
+      "step": 2277
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9817239109544447e-05,
+      "loss": 0.8577,
+      "step": 2278
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9816997863078115e-05,
+      "loss": 0.9672,
+      "step": 2279
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9816756458963094e-05,
+      "loss": 0.9206,
+      "step": 2280
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9816514897203272e-05,
+      "loss": 1.0178,
+      "step": 2281
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9816273177802517e-05,
+      "loss": 0.9457,
+      "step": 2282
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.981603130076472e-05,
+      "loss": 1.0304,
+      "step": 2283
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9815789266093755e-05,
+      "loss": 0.7951,
+      "step": 2284
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9815547073793516e-05,
+      "loss": 0.9617,
+      "step": 2285
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9815304723867893e-05,
+      "loss": 0.9592,
+      "step": 2286
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9815062216320772e-05,
+      "loss": 0.7906,
+      "step": 2287
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.981481955115605e-05,
+      "loss": 0.867,
+      "step": 2288
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9814576728377627e-05,
+      "loss": 0.9232,
+      "step": 2289
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.98143337479894e-05,
+      "loss": 0.9224,
+      "step": 2290
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9814090609995273e-05,
+      "loss": 0.7634,
+      "step": 2291
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9813847314399147e-05,
+      "loss": 0.9599,
+      "step": 2292
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9813603861204928e-05,
+      "loss": 0.8789,
+      "step": 2293
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9813360250416532e-05,
+      "loss": 0.8978,
+      "step": 2294
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9813116482037864e-05,
+      "loss": 0.9695,
+      "step": 2295
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9812872556072845e-05,
+      "loss": 1.031,
+      "step": 2296
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9812628472525387e-05,
+      "loss": 0.8908,
+      "step": 2297
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.981238423139941e-05,
+      "loss": 0.8795,
+      "step": 2298
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.981213983269884e-05,
+      "loss": 0.9318,
+      "step": 2299
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.98118952764276e-05,
+      "loss": 0.9803,
+      "step": 2300
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9811650562589616e-05,
+      "loss": 0.9686,
+      "step": 2301
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9811405691188817e-05,
+      "loss": 0.7889,
+      "step": 2302
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.981116066222914e-05,
+      "loss": 0.8807,
+      "step": 2303
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9810915475714514e-05,
+      "loss": 1.0095,
+      "step": 2304
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9810670131648884e-05,
+      "loss": 0.7894,
+      "step": 2305
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.981042463003618e-05,
+      "loss": 0.8791,
+      "step": 2306
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.981017897088035e-05,
+      "loss": 0.875,
+      "step": 2307
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980993315418534e-05,
+      "loss": 0.8935,
+      "step": 2308
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9809687179955096e-05,
+      "loss": 0.7986,
+      "step": 2309
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980944104819357e-05,
+      "loss": 0.9898,
+      "step": 2310
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9809194758904712e-05,
+      "loss": 0.9146,
+      "step": 2311
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9808948312092475e-05,
+      "loss": 1.0127,
+      "step": 2312
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9808701707760824e-05,
+      "loss": 0.9317,
+      "step": 2313
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980845494591371e-05,
+      "loss": 0.8179,
+      "step": 2314
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9808208026555103e-05,
+      "loss": 0.8168,
+      "step": 2315
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980796094968896e-05,
+      "loss": 0.946,
+      "step": 2316
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9807713715319262e-05,
+      "loss": 0.9149,
+      "step": 2317
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980746632344997e-05,
+      "loss": 1.0024,
+      "step": 2318
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9807218774085055e-05,
+      "loss": 0.8269,
+      "step": 2319
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9806971067228496e-05,
+      "loss": 0.9229,
+      "step": 2320
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9806723202884273e-05,
+      "loss": 0.9762,
+      "step": 2321
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980647518105636e-05,
+      "loss": 0.9576,
+      "step": 2322
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9806227001748748e-05,
+      "loss": 1.0071,
+      "step": 2323
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9805978664965417e-05,
+      "loss": 1.0345,
+      "step": 2324
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9805730170710354e-05,
+      "loss": 0.8701,
+      "step": 2325
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9805481518987553e-05,
+      "loss": 0.8827,
+      "step": 2326
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9805232709801008e-05,
+      "loss": 0.9255,
+      "step": 2327
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980498374315471e-05,
+      "loss": 0.9817,
+      "step": 2328
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980473461905266e-05,
+      "loss": 0.8658,
+      "step": 2329
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9804485337498857e-05,
+      "loss": 0.9739,
+      "step": 2330
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9804235898497305e-05,
+      "loss": 0.9673,
+      "step": 2331
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980398630205201e-05,
+      "loss": 0.9777,
+      "step": 2332
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9803736548166984e-05,
+      "loss": 0.9424,
+      "step": 2333
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980348663684623e-05,
+      "loss": 0.9052,
+      "step": 2334
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9803236568093765e-05,
+      "loss": 0.9195,
+      "step": 2335
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980298634191361e-05,
+      "loss": 0.9516,
+      "step": 2336
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980273595830977e-05,
+      "loss": 0.8718,
+      "step": 2337
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980248541728628e-05,
+      "loss": 0.9597,
+      "step": 2338
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9802234718847156e-05,
+      "loss": 0.9811,
+      "step": 2339
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9801983862996423e-05,
+      "loss": 1.0429,
+      "step": 2340
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9801732849738114e-05,
+      "loss": 0.96,
+      "step": 2341
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9801481679076256e-05,
+      "loss": 0.8363,
+      "step": 2342
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9801230351014887e-05,
+      "loss": 0.9134,
+      "step": 2343
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9800978865558038e-05,
+      "loss": 0.9259,
+      "step": 2344
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980072722270975e-05,
+      "loss": 0.8862,
+      "step": 2345
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9800475422474064e-05,
+      "loss": 0.7928,
+      "step": 2346
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9800223464855022e-05,
+      "loss": 0.9224,
+      "step": 2347
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9799971349856673e-05,
+      "loss": 0.8959,
+      "step": 2348
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9799719077483065e-05,
+      "loss": 0.9626,
+      "step": 2349
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9799466647738247e-05,
+      "loss": 1.0083,
+      "step": 2350
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9799214060626275e-05,
+      "loss": 0.9571,
+      "step": 2351
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9798961316151203e-05,
+      "loss": 0.9338,
+      "step": 2352
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9798708414317095e-05,
+      "loss": 0.9453,
+      "step": 2353
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9798455355128003e-05,
+      "loss": 0.9097,
+      "step": 2354
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9798202138588e-05,
+      "loss": 0.9761,
+      "step": 2355
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9797948764701145e-05,
+      "loss": 0.873,
+      "step": 2356
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979769523347151e-05,
+      "loss": 1.0586,
+      "step": 2357
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9797441544903173e-05,
+      "loss": 0.8963,
+      "step": 2358
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9797187699000196e-05,
+      "loss": 1.0199,
+      "step": 2359
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9796933695766663e-05,
+      "loss": 0.9996,
+      "step": 2360
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979667953520665e-05,
+      "loss": 0.8979,
+      "step": 2361
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9796425217324244e-05,
+      "loss": 0.9541,
+      "step": 2362
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979617074212352e-05,
+      "loss": 0.908,
+      "step": 2363
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979591610960857e-05,
+      "loss": 0.9004,
+      "step": 2364
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979566131978348e-05,
+      "loss": 0.8552,
+      "step": 2365
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9795406372652345e-05,
+      "loss": 0.8341,
+      "step": 2366
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979515126821926e-05,
+      "loss": 0.9653,
+      "step": 2367
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979489600648832e-05,
+      "loss": 0.8369,
+      "step": 2368
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9794640587463622e-05,
+      "loss": 1.0823,
+      "step": 2369
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979438501114927e-05,
+      "loss": 0.9071,
+      "step": 2370
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979412927754937e-05,
+      "loss": 0.8946,
+      "step": 2371
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9793873386668023e-05,
+      "loss": 0.9878,
+      "step": 2372
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9793617338509344e-05,
+      "loss": 0.9406,
+      "step": 2373
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9793361133077444e-05,
+      "loss": 0.9261,
+      "step": 2374
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979310477037643e-05,
+      "loss": 0.9596,
+      "step": 2375
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979284825041043e-05,
+      "loss": 0.8005,
+      "step": 2376
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9792591573183556e-05,
+      "loss": 1.0474,
+      "step": 2377
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9792334738699934e-05,
+      "loss": 0.9649,
+      "step": 2378
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9792077746963686e-05,
+      "loss": 1.0601,
+      "step": 2379
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9791820597978942e-05,
+      "loss": 0.9391,
+      "step": 2380
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9791563291749824e-05,
+      "loss": 0.9414,
+      "step": 2381
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9791305828280473e-05,
+      "loss": 0.8855,
+      "step": 2382
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9791048207575018e-05,
+      "loss": 0.7972,
+      "step": 2383
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9790790429637597e-05,
+      "loss": 1.0373,
+      "step": 2384
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979053249447235e-05,
+      "loss": 0.8939,
+      "step": 2385
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979027440208342e-05,
+      "loss": 1.0028,
+      "step": 2386
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9790016152474952e-05,
+      "loss": 1.1164,
+      "step": 2387
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9789757745651093e-05,
+      "loss": 0.8909,
+      "step": 2388
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978949918161599e-05,
+      "loss": 0.9345,
+      "step": 2389
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9789240460373794e-05,
+      "loss": 1.0267,
+      "step": 2390
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978898158192867e-05,
+      "loss": 0.9063,
+      "step": 2391
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978872254628476e-05,
+      "loss": 0.9064,
+      "step": 2392
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978846335344624e-05,
+      "loss": 1.0294,
+      "step": 2393
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978820400341726e-05,
+      "loss": 0.8936,
+      "step": 2394
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9787944496201988e-05,
+      "loss": 1.0169,
+      "step": 2395
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9787684831804596e-05,
+      "loss": 0.944,
+      "step": 2396
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9787425010229246e-05,
+      "loss": 0.8513,
+      "step": 2397
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978716503148012e-05,
+      "loss": 1.0054,
+      "step": 2398
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9786904895561382e-05,
+      "loss": 0.9405,
+      "step": 2399
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9786644602477217e-05,
+      "loss": 0.8193,
+      "step": 2400
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9786384152231804e-05,
+      "loss": 1.0934,
+      "step": 2401
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978612354482932e-05,
+      "loss": 0.8835,
+      "step": 2402
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978586278027396e-05,
+      "loss": 1.0649,
+      "step": 2403
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9785601858569907e-05,
+      "loss": 0.9556,
+      "step": 2404
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9785340779721348e-05,
+      "loss": 0.9571,
+      "step": 2405
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9785079543732476e-05,
+      "loss": 0.9508,
+      "step": 2406
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978481815060749e-05,
+      "loss": 0.8222,
+      "step": 2407
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9784556600350583e-05,
+      "loss": 0.7319,
+      "step": 2408
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978429489296596e-05,
+      "loss": 1.0937,
+      "step": 2409
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978403302845782e-05,
+      "loss": 0.9409,
+      "step": 2410
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978377100683037e-05,
+      "loss": 0.8778,
+      "step": 2411
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9783508828087822e-05,
+      "loss": 0.9973,
+      "step": 2412
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9783246492234376e-05,
+      "loss": 0.9752,
+      "step": 2413
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9782983999274252e-05,
+      "loss": 1.004,
+      "step": 2414
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9782721349211664e-05,
+      "loss": 0.9249,
+      "step": 2415
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978245854205083e-05,
+      "loss": 0.8827,
+      "step": 2416
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978219557779597e-05,
+      "loss": 0.9144,
+      "step": 2417
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978193245645131e-05,
+      "loss": 0.9071,
+      "step": 2418
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9781669178021066e-05,
+      "loss": 1.0142,
+      "step": 2419
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9781405742509475e-05,
+      "loss": 0.9505,
+      "step": 2420
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9781142149920763e-05,
+      "loss": 0.8613,
+      "step": 2421
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9780878400259163e-05,
+      "loss": 0.8138,
+      "step": 2422
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9780614493528917e-05,
+      "loss": 0.917,
+      "step": 2423
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9780350429734256e-05,
+      "loss": 0.8278,
+      "step": 2424
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.978008620887942e-05,
+      "loss": 0.9718,
+      "step": 2425
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.977982183096866e-05,
+      "loss": 0.9826,
+      "step": 2426
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9779557296006213e-05,
+      "loss": 0.7309,
+      "step": 2427
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.977929260399633e-05,
+      "loss": 0.8662,
+      "step": 2428
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977902775494326e-05,
+      "loss": 0.7923,
+      "step": 2429
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977876274885126e-05,
+      "loss": 0.9168,
+      "step": 2430
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9778497585724586e-05,
+      "loss": 1.0127,
+      "step": 2431
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9778232265567493e-05,
+      "loss": 0.8992,
+      "step": 2432
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9777966788384243e-05,
+      "loss": 1.0182,
+      "step": 2433
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9777701154179097e-05,
+      "loss": 0.9745,
+      "step": 2434
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9777435362956322e-05,
+      "loss": 0.8556,
+      "step": 2435
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977716941472019e-05,
+      "loss": 1.0013,
+      "step": 2436
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9776903309474965e-05,
+      "loss": 0.9644,
+      "step": 2437
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9776637047224927e-05,
+      "loss": 0.9373,
+      "step": 2438
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9776370627974347e-05,
+      "loss": 1.0437,
+      "step": 2439
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9776104051727505e-05,
+      "loss": 1.0291,
+      "step": 2440
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9775837318488683e-05,
+      "loss": 0.986,
+      "step": 2441
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9775570428262164e-05,
+      "loss": 0.9347,
+      "step": 2442
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9775303381052234e-05,
+      "loss": 1.043,
+      "step": 2443
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9775036176863178e-05,
+      "loss": 0.9613,
+      "step": 2444
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977476881569929e-05,
+      "loss": 0.92,
+      "step": 2445
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9774501297564864e-05,
+      "loss": 0.9221,
+      "step": 2446
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9774233622464196e-05,
+      "loss": 0.8797,
+      "step": 2447
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9773965790401583e-05,
+      "loss": 0.9785,
+      "step": 2448
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977369780138133e-05,
+      "loss": 0.9688,
+      "step": 2449
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9773429655407734e-05,
+      "loss": 0.9573,
+      "step": 2450
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9773161352485106e-05,
+      "loss": 0.8858,
+      "step": 2451
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9772892892617753e-05,
+      "loss": 0.9333,
+      "step": 2452
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9772624275809984e-05,
+      "loss": 0.9955,
+      "step": 2453
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977235550206612e-05,
+      "loss": 0.8155,
+      "step": 2454
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9772086571390467e-05,
+      "loss": 0.9197,
+      "step": 2455
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977181748378735e-05,
+      "loss": 0.8638,
+      "step": 2456
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9771548239261088e-05,
+      "loss": 0.9345,
+      "step": 2457
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977127883781601e-05,
+      "loss": 0.7977,
+      "step": 2458
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9771009279456436e-05,
+      "loss": 0.9871,
+      "step": 2459
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9770739564186695e-05,
+      "loss": 0.9299,
+      "step": 2460
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977046969201112e-05,
+      "loss": 0.9032,
+      "step": 2461
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977019966293405e-05,
+      "loss": 1.039,
+      "step": 2462
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9769929476959812e-05,
+      "loss": 0.9413,
+      "step": 2463
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976965913409275e-05,
+      "loss": 0.97,
+      "step": 2464
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9769388634337202e-05,
+      "loss": 1.015,
+      "step": 2465
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9769117977697513e-05,
+      "loss": 0.9113,
+      "step": 2466
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9768847164178036e-05,
+      "loss": 0.8497,
+      "step": 2467
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976857619378311e-05,
+      "loss": 1.0477,
+      "step": 2468
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9768305066517093e-05,
+      "loss": 0.8419,
+      "step": 2469
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9768033782384338e-05,
+      "loss": 0.8718,
+      "step": 2470
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.97677623413892e-05,
+      "loss": 0.8895,
+      "step": 2471
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9767490743536037e-05,
+      "loss": 1.0105,
+      "step": 2472
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9767218988829212e-05,
+      "loss": 0.9384,
+      "step": 2473
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9766947077273092e-05,
+      "loss": 0.9869,
+      "step": 2474
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976667500887204e-05,
+      "loss": 0.9665,
+      "step": 2475
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9766402783630424e-05,
+      "loss": 0.9328,
+      "step": 2476
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9766130401552617e-05,
+      "loss": 0.9257,
+      "step": 2477
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976585786264299e-05,
+      "loss": 0.941,
+      "step": 2478
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976558516690593e-05,
+      "loss": 0.9604,
+      "step": 2479
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9765312314345807e-05,
+      "loss": 0.8384,
+      "step": 2480
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9765039304967004e-05,
+      "loss": 0.8957,
+      "step": 2481
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976476613877391e-05,
+      "loss": 0.9969,
+      "step": 2482
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.97644928157709e-05,
+      "loss": 0.8261,
+      "step": 2483
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9764219335962376e-05,
+      "loss": 0.924,
+      "step": 2484
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976394569935272e-05,
+      "loss": 1.0361,
+      "step": 2485
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9763671905946338e-05,
+      "loss": 0.8828,
+      "step": 2486
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9763397955747617e-05,
+      "loss": 0.8326,
+      "step": 2487
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9763123848760956e-05,
+      "loss": 0.9122,
+      "step": 2488
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9762849584990763e-05,
+      "loss": 0.9593,
+      "step": 2489
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976257516444144e-05,
+      "loss": 1.1298,
+      "step": 2490
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976230058711739e-05,
+      "loss": 0.8721,
+      "step": 2491
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9762025853023025e-05,
+      "loss": 0.8919,
+      "step": 2492
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976175096216276e-05,
+      "loss": 0.998,
+      "step": 2493
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9761475914541008e-05,
+      "loss": 1.0995,
+      "step": 2494
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9761200710162184e-05,
+      "loss": 0.959,
+      "step": 2495
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9760925349030704e-05,
+      "loss": 0.955,
+      "step": 2496
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9760649831150997e-05,
+      "loss": 0.8864,
+      "step": 2497
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9760374156527484e-05,
+      "loss": 0.9399,
+      "step": 2498
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9760098325164593e-05,
+      "loss": 0.9191,
+      "step": 2499
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9759822337066753e-05,
+      "loss": 0.8942,
+      "step": 2500
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.97595461922384e-05,
+      "loss": 0.8483,
+      "step": 2501
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9759269890683958e-05,
+      "loss": 0.906,
+      "step": 2502
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9758993432407873e-05,
+      "loss": 0.9236,
+      "step": 2503
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975871681741458e-05,
+      "loss": 0.852,
+      "step": 2504
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9758440045708523e-05,
+      "loss": 0.9015,
+      "step": 2505
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975816311729415e-05,
+      "loss": 1.0018,
+      "step": 2506
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9757886032175903e-05,
+      "loss": 0.8326,
+      "step": 2507
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9757608790358234e-05,
+      "loss": 0.8609,
+      "step": 2508
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9757331391845596e-05,
+      "loss": 1.005,
+      "step": 2509
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9757053836642444e-05,
+      "loss": 0.8203,
+      "step": 2510
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9756776124753233e-05,
+      "loss": 0.9813,
+      "step": 2511
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9756498256182422e-05,
+      "loss": 0.919,
+      "step": 2512
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9756220230934474e-05,
+      "loss": 1.0585,
+      "step": 2513
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9755942049013853e-05,
+      "loss": 0.9153,
+      "step": 2514
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975566371042503e-05,
+      "loss": 0.9515,
+      "step": 2515
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975538521517247e-05,
+      "loss": 0.9841,
+      "step": 2516
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975510656326065e-05,
+      "loss": 1.001,
+      "step": 2517
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9754827754694043e-05,
+      "loss": 0.9755,
+      "step": 2518
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9754548789477126e-05,
+      "loss": 1.0278,
+      "step": 2519
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9754269667614378e-05,
+      "loss": 0.9767,
+      "step": 2520
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975399038911028e-05,
+      "loss": 0.9016,
+      "step": 2521
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975371095396932e-05,
+      "loss": 0.8559,
+      "step": 2522
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9753431362195985e-05,
+      "loss": 0.9553,
+      "step": 2523
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9753151613794763e-05,
+      "loss": 0.8196,
+      "step": 2524
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9752871708770146e-05,
+      "loss": 0.9335,
+      "step": 2525
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9752591647126633e-05,
+      "loss": 0.8337,
+      "step": 2526
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9752311428868716e-05,
+      "loss": 0.8915,
+      "step": 2527
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9752031054000903e-05,
+      "loss": 0.8275,
+      "step": 2528
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9751750522527686e-05,
+      "loss": 0.9906,
+      "step": 2529
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9751469834453577e-05,
+      "loss": 0.9464,
+      "step": 2530
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975118898978308e-05,
+      "loss": 0.9259,
+      "step": 2531
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975090798852071e-05,
+      "loss": 0.9287,
+      "step": 2532
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9750626830670976e-05,
+      "loss": 0.9414,
+      "step": 2533
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975034551623839e-05,
+      "loss": 0.8169,
+      "step": 2534
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9750064045227474e-05,
+      "loss": 0.9446,
+      "step": 2535
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.974978241764275e-05,
+      "loss": 0.9093,
+      "step": 2536
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9749500633488736e-05,
+      "loss": 0.9424,
+      "step": 2537
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9749218692769958e-05,
+      "loss": 0.9067,
+      "step": 2538
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9748936595490943e-05,
+      "loss": 0.9682,
+      "step": 2539
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9748654341656225e-05,
+      "loss": 0.9237,
+      "step": 2540
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9748371931270333e-05,
+      "loss": 1.0099,
+      "step": 2541
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9748089364337803e-05,
+      "loss": 0.8893,
+      "step": 2542
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9747806640863174e-05,
+      "loss": 0.9791,
+      "step": 2543
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9747523760850984e-05,
+      "loss": 0.932,
+      "step": 2544
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9747240724305773e-05,
+      "loss": 0.9372,
+      "step": 2545
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9746957531232097e-05,
+      "loss": 0.7801,
+      "step": 2546
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.974667418163449e-05,
+      "loss": 0.8789,
+      "step": 2547
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9746390675517514e-05,
+      "loss": 0.7762,
+      "step": 2548
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9746107012885715e-05,
+      "loss": 0.9931,
+      "step": 2549
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9745823193743648e-05,
+      "loss": 0.9581,
+      "step": 2550
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9745539218095876e-05,
+      "loss": 1.0093,
+      "step": 2551
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9745255085946955e-05,
+      "loss": 0.8053,
+      "step": 2552
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9744970797301447e-05,
+      "loss": 0.7705,
+      "step": 2553
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.974468635216392e-05,
+      "loss": 1.0953,
+      "step": 2554
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9744401750538943e-05,
+      "loss": 0.7562,
+      "step": 2555
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9744116992431082e-05,
+      "loss": 0.8382,
+      "step": 2556
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.974383207784491e-05,
+      "loss": 0.8579,
+      "step": 2557
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9743547006785012e-05,
+      "loss": 0.7606,
+      "step": 2558
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9743261779255954e-05,
+      "loss": 0.9178,
+      "step": 2559
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.974297639526232e-05,
+      "loss": 0.9097,
+      "step": 2560
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9742690854808692e-05,
+      "loss": 0.8736,
+      "step": 2561
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.974240515789966e-05,
+      "loss": 0.9665,
+      "step": 2562
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9742119304539807e-05,
+      "loss": 1.0648,
+      "step": 2563
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9741833294733728e-05,
+      "loss": 1.1346,
+      "step": 2564
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.974154712848601e-05,
+      "loss": 0.9431,
+      "step": 2565
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9741260805801258e-05,
+      "loss": 0.9944,
+      "step": 2566
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9740974326684062e-05,
+      "loss": 0.9921,
+      "step": 2567
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.974068769113902e-05,
+      "loss": 0.9604,
+      "step": 2568
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9740400899170744e-05,
+      "loss": 0.9653,
+      "step": 2569
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.974011395078383e-05,
+      "loss": 0.9009,
+      "step": 2570
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9739826845982896e-05,
+      "loss": 0.8583,
+      "step": 2571
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9739539584772546e-05,
+      "loss": 0.9533,
+      "step": 2572
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9739252167157393e-05,
+      "loss": 0.8896,
+      "step": 2573
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973896459314206e-05,
+      "loss": 0.9695,
+      "step": 2574
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9738676862731153e-05,
+      "loss": 0.9314,
+      "step": 2575
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9738388975929303e-05,
+      "loss": 0.7876,
+      "step": 2576
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9738100932741125e-05,
+      "loss": 0.9121,
+      "step": 2577
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973781273317125e-05,
+      "loss": 0.9414,
+      "step": 2578
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.97375243772243e-05,
+      "loss": 0.9477,
+      "step": 2579
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973723586490492e-05,
+      "loss": 0.789,
+      "step": 2580
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9736947196217726e-05,
+      "loss": 0.8773,
+      "step": 2581
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9736658371167366e-05,
+      "loss": 0.8954,
+      "step": 2582
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973636938975847e-05,
+      "loss": 1.0484,
+      "step": 2583
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973608025199568e-05,
+      "loss": 0.8608,
+      "step": 2584
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9735790957883645e-05,
+      "loss": 0.7862,
+      "step": 2585
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9735501507427007e-05,
+      "loss": 1.0108,
+      "step": 2586
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9735211900630414e-05,
+      "loss": 0.8499,
+      "step": 2587
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9734922137498516e-05,
+      "loss": 0.8708,
+      "step": 2588
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9734632218035964e-05,
+      "loss": 0.8819,
+      "step": 2589
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973434214224742e-05,
+      "loss": 0.9908,
+      "step": 2590
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973405191013754e-05,
+      "loss": 0.9244,
+      "step": 2591
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973376152171098e-05,
+      "loss": 0.8855,
+      "step": 2592
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973347097697241e-05,
+      "loss": 0.7691,
+      "step": 2593
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973318027592649e-05,
+      "loss": 1.0172,
+      "step": 2594
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9732889418577897e-05,
+      "loss": 1.0975,
+      "step": 2595
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9732598404931293e-05,
+      "loss": 1.0518,
+      "step": 2596
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973230723499135e-05,
+      "loss": 1.0258,
+      "step": 2597
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973201590876275e-05,
+      "loss": 0.8782,
+      "step": 2598
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9731724426250173e-05,
+      "loss": 0.931,
+      "step": 2599
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9731432787458294e-05,
+      "loss": 0.9562,
+      "step": 2600
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9731140992391798e-05,
+      "loss": 1.0134,
+      "step": 2601
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9730849041055373e-05,
+      "loss": 0.9753,
+      "step": 2602
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9730556933453706e-05,
+      "loss": 1.1366,
+      "step": 2603
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973026466959149e-05,
+      "loss": 1.0642,
+      "step": 2604
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9729972249473408e-05,
+      "loss": 0.8525,
+      "step": 2605
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.972967967310417e-05,
+      "loss": 0.9019,
+      "step": 2606
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9729386940488467e-05,
+      "loss": 1.0737,
+      "step": 2607
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9729094051631003e-05,
+      "loss": 1.0038,
+      "step": 2608
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9728801006536478e-05,
+      "loss": 0.8289,
+      "step": 2609
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.97285078052096e-05,
+      "loss": 0.9312,
+      "step": 2610
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9728214447655076e-05,
+      "loss": 0.9581,
+      "step": 2611
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.972792093387762e-05,
+      "loss": 0.8019,
+      "step": 2612
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9727627263881942e-05,
+      "loss": 1.0137,
+      "step": 2613
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9727333437672763e-05,
+      "loss": 0.8996,
+      "step": 2614
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9727039455254794e-05,
+      "loss": 0.9567,
+      "step": 2615
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9726745316632762e-05,
+      "loss": 0.9711,
+      "step": 2616
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9726451021811387e-05,
+      "loss": 0.8927,
+      "step": 2617
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.97261565707954e-05,
+      "loss": 0.922,
+      "step": 2618
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.972586196358952e-05,
+      "loss": 0.9288,
+      "step": 2619
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9725567200198486e-05,
+      "loss": 0.9534,
+      "step": 2620
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9725272280627036e-05,
+      "loss": 0.7812,
+      "step": 2621
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9724977204879894e-05,
+      "loss": 0.9576,
+      "step": 2622
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9724681972961806e-05,
+      "loss": 0.8126,
+      "step": 2623
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.972438658487751e-05,
+      "loss": 0.7981,
+      "step": 2624
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.972409104063175e-05,
+      "loss": 0.9881,
+      "step": 2625
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9723795340229274e-05,
+      "loss": 0.9272,
+      "step": 2626
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.972349948367483e-05,
+      "loss": 0.9262,
+      "step": 2627
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9723203470973168e-05,
+      "loss": 0.9325,
+      "step": 2628
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9722907302129042e-05,
+      "loss": 0.9312,
+      "step": 2629
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9722610977147203e-05,
+      "loss": 0.9819,
+      "step": 2630
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9722314496032422e-05,
+      "loss": 0.9537,
+      "step": 2631
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.972201785878945e-05,
+      "loss": 0.9526,
+      "step": 2632
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9721721065423055e-05,
+      "loss": 0.9339,
+      "step": 2633
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9721424115938004e-05,
+      "loss": 0.8969,
+      "step": 2634
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9721127010339057e-05,
+      "loss": 1.0479,
+      "step": 2635
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9720829748630997e-05,
+      "loss": 0.8062,
+      "step": 2636
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.972053233081859e-05,
+      "loss": 0.8995,
+      "step": 2637
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9720234756906613e-05,
+      "loss": 0.898,
+      "step": 2638
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.971993702689985e-05,
+      "loss": 0.8775,
+      "step": 2639
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9719639140803073e-05,
+      "loss": 0.925,
+      "step": 2640
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9719341098621074e-05,
+      "loss": 0.9689,
+      "step": 2641
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9719042900358635e-05,
+      "loss": 0.8149,
+      "step": 2642
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9718744546020547e-05,
+      "loss": 0.9099,
+      "step": 2643
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.97184460356116e-05,
+      "loss": 0.932,
+      "step": 2644
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9718147369136584e-05,
+      "loss": 1.0491,
+      "step": 2645
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.97178485466003e-05,
+      "loss": 0.8371,
+      "step": 2646
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9717549568007544e-05,
+      "loss": 0.8352,
+      "step": 2647
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9717250433363125e-05,
+      "loss": 0.8309,
+      "step": 2648
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9716951142671835e-05,
+      "loss": 0.9622,
+      "step": 2649
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9716651695938488e-05,
+      "loss": 0.8752,
+      "step": 2650
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.971635209316789e-05,
+      "loss": 0.849,
+      "step": 2651
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.971605233436485e-05,
+      "loss": 1.014,
+      "step": 2652
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.971575241953419e-05,
+      "loss": 0.9308,
+      "step": 2653
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9715452348680716e-05,
+      "loss": 0.9104,
+      "step": 2654
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9715152121809253e-05,
+      "loss": 0.9381,
+      "step": 2655
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.971485173892462e-05,
+      "loss": 0.9533,
+      "step": 2656
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9714551200031644e-05,
+      "loss": 0.8602,
+      "step": 2657
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9714250505135144e-05,
+      "loss": 0.897,
+      "step": 2658
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9713949654239956e-05,
+      "loss": 0.87,
+      "step": 2659
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9713648647350912e-05,
+      "loss": 0.881,
+      "step": 2660
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.971334748447284e-05,
+      "loss": 0.944,
+      "step": 2661
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9713046165610576e-05,
+      "loss": 0.923,
+      "step": 2662
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9712744690768967e-05,
+      "loss": 0.9206,
+      "step": 2663
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9712443059952845e-05,
+      "loss": 0.9345,
+      "step": 2664
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9712141273167058e-05,
+      "loss": 1.0077,
+      "step": 2665
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9711839330416453e-05,
+      "loss": 1.0917,
+      "step": 2666
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.971153723170588e-05,
+      "loss": 1.04,
+      "step": 2667
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9711234977040187e-05,
+      "loss": 0.9631,
+      "step": 2668
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.971093256642423e-05,
+      "loss": 1.0902,
+      "step": 2669
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.971062999986286e-05,
+      "loss": 0.92,
+      "step": 2670
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9710327277360942e-05,
+      "loss": 0.8993,
+      "step": 2671
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9710024398923338e-05,
+      "loss": 1.0267,
+      "step": 2672
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.970972136455491e-05,
+      "loss": 0.9061,
+      "step": 2673
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9709418174260523e-05,
+      "loss": 1.0505,
+      "step": 2674
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9709114828045046e-05,
+      "loss": 0.98,
+      "step": 2675
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9708811325913352e-05,
+      "loss": 0.9825,
+      "step": 2676
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9708507667870312e-05,
+      "loss": 0.9331,
+      "step": 2677
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9708203853920803e-05,
+      "loss": 0.9977,
+      "step": 2678
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.970789988406971e-05,
+      "loss": 0.8489,
+      "step": 2679
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9707595758321906e-05,
+      "loss": 0.8189,
+      "step": 2680
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.970729147668228e-05,
+      "loss": 0.9234,
+      "step": 2681
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9706987039155715e-05,
+      "loss": 1.0331,
+      "step": 2682
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9706682445747104e-05,
+      "loss": 0.9059,
+      "step": 2683
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9706377696461337e-05,
+      "loss": 0.8607,
+      "step": 2684
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9706072791303303e-05,
+      "loss": 0.9434,
+      "step": 2685
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9705767730277905e-05,
+      "loss": 1.0772,
+      "step": 2686
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.970546251339004e-05,
+      "loss": 0.9846,
+      "step": 2687
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9705157140644608e-05,
+      "loss": 0.9301,
+      "step": 2688
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.970485161204651e-05,
+      "loss": 1.0141,
+      "step": 2689
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.970454592760066e-05,
+      "loss": 1.0194,
+      "step": 2690
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9704240087311963e-05,
+      "loss": 1.0382,
+      "step": 2691
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9703934091185325e-05,
+      "loss": 0.9276,
+      "step": 2692
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9703627939225673e-05,
+      "loss": 0.8832,
+      "step": 2693
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.970332163143791e-05,
+      "loss": 0.825,
+      "step": 2694
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9703015167826963e-05,
+      "loss": 1.0821,
+      "step": 2695
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.970270854839775e-05,
+      "loss": 0.866,
+      "step": 2696
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9702401773155197e-05,
+      "loss": 0.8746,
+      "step": 2697
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9702094842104228e-05,
+      "loss": 1.0054,
+      "step": 2698
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9701787755249774e-05,
+      "loss": 0.8798,
+      "step": 2699
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9701480512596767e-05,
+      "loss": 0.8793,
+      "step": 2700
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9701173114150137e-05,
+      "loss": 0.9883,
+      "step": 2701
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9700865559914823e-05,
+      "loss": 0.9295,
+      "step": 2702
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9700557849895764e-05,
+      "loss": 0.9471,
+      "step": 2703
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9700249984097907e-05,
+      "loss": 0.9654,
+      "step": 2704
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9699941962526184e-05,
+      "loss": 0.8898,
+      "step": 2705
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9699633785185546e-05,
+      "loss": 0.8625,
+      "step": 2706
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969932545208095e-05,
+      "loss": 1.1501,
+      "step": 2707
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969901696321734e-05,
+      "loss": 1.0096,
+      "step": 2708
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969870831859967e-05,
+      "loss": 0.9923,
+      "step": 2709
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9698399518232895e-05,
+      "loss": 0.8105,
+      "step": 2710
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969809056212198e-05,
+      "loss": 0.8961,
+      "step": 2711
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969778145027188e-05,
+      "loss": 0.9624,
+      "step": 2712
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9697472182687564e-05,
+      "loss": 0.9304,
+      "step": 2713
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9697162759373997e-05,
+      "loss": 1.0132,
+      "step": 2714
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9696853180336146e-05,
+      "loss": 0.8651,
+      "step": 2715
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9696543445578983e-05,
+      "loss": 0.9069,
+      "step": 2716
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9696233555107484e-05,
+      "loss": 1.0701,
+      "step": 2717
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9695923508926626e-05,
+      "loss": 0.9228,
+      "step": 2718
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969561330704138e-05,
+      "loss": 0.9461,
+      "step": 2719
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969530294945674e-05,
+      "loss": 0.8276,
+      "step": 2720
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9694992436177683e-05,
+      "loss": 0.9565,
+      "step": 2721
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9694681767209194e-05,
+      "loss": 0.8096,
+      "step": 2722
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969437094255626e-05,
+      "loss": 1.0372,
+      "step": 2723
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9694059962223885e-05,
+      "loss": 1.0582,
+      "step": 2724
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969374882621705e-05,
+      "loss": 1.0659,
+      "step": 2725
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9693437534540753e-05,
+      "loss": 0.7327,
+      "step": 2726
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96931260872e-05,
+      "loss": 0.9321,
+      "step": 2727
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9692814484199785e-05,
+      "loss": 0.8149,
+      "step": 2728
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9692502725545116e-05,
+      "loss": 0.8988,
+      "step": 2729
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9692190811241e-05,
+      "loss": 1.0587,
+      "step": 2730
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9691878741292444e-05,
+      "loss": 0.9053,
+      "step": 2731
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969156651570446e-05,
+      "loss": 0.8014,
+      "step": 2732
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9691254134482062e-05,
+      "loss": 0.9897,
+      "step": 2733
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9690941597630266e-05,
+      "loss": 0.8342,
+      "step": 2734
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9690628905154092e-05,
+      "loss": 0.9192,
+      "step": 2735
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969031605705856e-05,
+      "loss": 0.9811,
+      "step": 2736
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9690003053348698e-05,
+      "loss": 0.997,
+      "step": 2737
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9689689894029526e-05,
+      "loss": 0.9209,
+      "step": 2738
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9689376579106075e-05,
+      "loss": 0.8675,
+      "step": 2739
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968906310858338e-05,
+      "loss": 1.053,
+      "step": 2740
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968874948246647e-05,
+      "loss": 0.796,
+      "step": 2741
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9688435700760388e-05,
+      "loss": 0.967,
+      "step": 2742
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9688121763470165e-05,
+      "loss": 0.9958,
+      "step": 2743
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9687807670600847e-05,
+      "loss": 0.9589,
+      "step": 2744
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968749342215748e-05,
+      "loss": 0.9894,
+      "step": 2745
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9687179018145105e-05,
+      "loss": 0.9151,
+      "step": 2746
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968686445856878e-05,
+      "loss": 0.8938,
+      "step": 2747
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968654974343354e-05,
+      "loss": 1.0395,
+      "step": 2748
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9686234872744454e-05,
+      "loss": 0.946,
+      "step": 2749
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9685919846506577e-05,
+      "loss": 0.8698,
+      "step": 2750
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968560466472496e-05,
+      "loss": 0.8566,
+      "step": 2751
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9685289327404668e-05,
+      "loss": 0.9606,
+      "step": 2752
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968497383455077e-05,
+      "loss": 0.9123,
+      "step": 2753
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9684658186168324e-05,
+      "loss": 0.9991,
+      "step": 2754
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9684342382262404e-05,
+      "loss": 0.8826,
+      "step": 2755
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968402642283808e-05,
+      "loss": 0.8648,
+      "step": 2756
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968371030790043e-05,
+      "loss": 0.8323,
+      "step": 2757
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9683394037454522e-05,
+      "loss": 1.0678,
+      "step": 2758
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9683077611505443e-05,
+      "loss": 0.9301,
+      "step": 2759
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968276103005827e-05,
+      "loss": 0.998,
+      "step": 2760
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968244429311809e-05,
+      "loss": 0.9052,
+      "step": 2761
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9682127400689986e-05,
+      "loss": 0.9138,
+      "step": 2762
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9681810352779047e-05,
+      "loss": 1.036,
+      "step": 2763
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9681493149390366e-05,
+      "loss": 0.9699,
+      "step": 2764
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968117579052904e-05,
+      "loss": 0.9461,
+      "step": 2765
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9680858276200156e-05,
+      "loss": 0.9426,
+      "step": 2766
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9680540606408826e-05,
+      "loss": 1.0602,
+      "step": 2767
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968022278116014e-05,
+      "loss": 0.8958,
+      "step": 2768
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9679904800459205e-05,
+      "loss": 0.8658,
+      "step": 2769
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.967958666431113e-05,
+      "loss": 0.9856,
+      "step": 2770
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9679268372721025e-05,
+      "loss": 0.7447,
+      "step": 2771
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9678949925693996e-05,
+      "loss": 0.8469,
+      "step": 2772
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.967863132323516e-05,
+      "loss": 0.8583,
+      "step": 2773
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.967831256534963e-05,
+      "loss": 0.8839,
+      "step": 2774
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9677993652042532e-05,
+      "loss": 0.7777,
+      "step": 2775
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9677674583318982e-05,
+      "loss": 0.8503,
+      "step": 2776
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9677355359184104e-05,
+      "loss": 0.8062,
+      "step": 2777
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9677035979643027e-05,
+      "loss": 0.7498,
+      "step": 2778
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9676716444700877e-05,
+      "loss": 0.9254,
+      "step": 2779
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.967639675436279e-05,
+      "loss": 0.8151,
+      "step": 2780
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.967607690863389e-05,
+      "loss": 0.8062,
+      "step": 2781
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9675756907519325e-05,
+      "loss": 0.9007,
+      "step": 2782
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9675436751024222e-05,
+      "loss": 1.0182,
+      "step": 2783
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9675116439153736e-05,
+      "loss": 0.89,
+      "step": 2784
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9674795971913e-05,
+      "loss": 0.929,
+      "step": 2785
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9674475349307163e-05,
+      "loss": 0.9947,
+      "step": 2786
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9674154571341378e-05,
+      "loss": 0.9403,
+      "step": 2787
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9673833638020793e-05,
+      "loss": 0.9967,
+      "step": 2788
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9673512549350557e-05,
+      "loss": 0.8384,
+      "step": 2789
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9673191305335833e-05,
+      "loss": 0.8988,
+      "step": 2790
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.967286990598178e-05,
+      "loss": 0.9512,
+      "step": 2791
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9672548351293555e-05,
+      "loss": 0.9122,
+      "step": 2792
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9672226641276327e-05,
+      "loss": 0.9026,
+      "step": 2793
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9671904775935256e-05,
+      "loss": 0.8967,
+      "step": 2794
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9671582755275515e-05,
+      "loss": 1.0464,
+      "step": 2795
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9671260579302275e-05,
+      "loss": 0.8675,
+      "step": 2796
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9670938248020706e-05,
+      "loss": 0.9576,
+      "step": 2797
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.967061576143599e-05,
+      "loss": 0.9927,
+      "step": 2798
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96702931195533e-05,
+      "loss": 0.9371,
+      "step": 2799
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9669970322377824e-05,
+      "loss": 0.8132,
+      "step": 2800
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.966964736991474e-05,
+      "loss": 0.9929,
+      "step": 2801
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9669324262169234e-05,
+      "loss": 0.9106,
+      "step": 2802
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96690009991465e-05,
+      "loss": 0.9394,
+      "step": 2803
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9668677580851723e-05,
+      "loss": 0.8376,
+      "step": 2804
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96683540072901e-05,
+      "loss": 0.8074,
+      "step": 2805
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.966803027846683e-05,
+      "loss": 0.9282,
+      "step": 2806
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9667706394387107e-05,
+      "loss": 0.9002,
+      "step": 2807
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9667382355056128e-05,
+      "loss": 0.8402,
+      "step": 2808
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9667058160479108e-05,
+      "loss": 0.9429,
+      "step": 2809
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9666733810661247e-05,
+      "loss": 0.9661,
+      "step": 2810
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9666409305607753e-05,
+      "loss": 0.935,
+      "step": 2811
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.966608464532384e-05,
+      "loss": 0.8903,
+      "step": 2812
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9665759829814717e-05,
+      "loss": 0.9536,
+      "step": 2813
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9665434859085602e-05,
+      "loss": 0.8737,
+      "step": 2814
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9665109733141718e-05,
+      "loss": 0.8547,
+      "step": 2815
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.966478445198828e-05,
+      "loss": 0.9939,
+      "step": 2816
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9664459015630518e-05,
+      "loss": 0.9331,
+      "step": 2817
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9664133424073656e-05,
+      "loss": 0.9058,
+      "step": 2818
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9663807677322916e-05,
+      "loss": 0.9052,
+      "step": 2819
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9663481775383535e-05,
+      "loss": 0.899,
+      "step": 2820
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9663155718260746e-05,
+      "loss": 0.9115,
+      "step": 2821
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9662829505959786e-05,
+      "loss": 0.8219,
+      "step": 2822
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.966250313848589e-05,
+      "loss": 0.9588,
+      "step": 2823
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9662176615844304e-05,
+      "loss": 0.8927,
+      "step": 2824
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.966184993804027e-05,
+      "loss": 1.0127,
+      "step": 2825
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.966152310507903e-05,
+      "loss": 0.9794,
+      "step": 2826
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9661196116965838e-05,
+      "loss": 0.9028,
+      "step": 2827
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9660868973705938e-05,
+      "loss": 0.7027,
+      "step": 2828
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.966054167530459e-05,
+      "loss": 0.906,
+      "step": 2829
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9660214221767053e-05,
+      "loss": 0.9793,
+      "step": 2830
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9659886613098574e-05,
+      "loss": 1.0377,
+      "step": 2831
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9659558849304424e-05,
+      "loss": 0.9226,
+      "step": 2832
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.965923093038986e-05,
+      "loss": 0.8902,
+      "step": 2833
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9658902856360153e-05,
+      "loss": 0.7403,
+      "step": 2834
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.965857462722057e-05,
+      "loss": 0.8871,
+      "step": 2835
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.965824624297638e-05,
+      "loss": 0.8027,
+      "step": 2836
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.965791770363286e-05,
+      "loss": 1.0011,
+      "step": 2837
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.965758900919528e-05,
+      "loss": 0.8812,
+      "step": 2838
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.965726015966893e-05,
+      "loss": 0.9892,
+      "step": 2839
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9656931155059077e-05,
+      "loss": 0.944,
+      "step": 2840
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.965660199537101e-05,
+      "loss": 0.9817,
+      "step": 2841
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9656272680610015e-05,
+      "loss": 0.7996,
+      "step": 2842
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9655943210781384e-05,
+      "loss": 1.0034,
+      "step": 2843
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96556135858904e-05,
+      "loss": 0.8233,
+      "step": 2844
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9655283805942364e-05,
+      "loss": 0.8609,
+      "step": 2845
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.965495387094257e-05,
+      "loss": 0.9041,
+      "step": 2846
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9654623780896313e-05,
+      "loss": 0.8598,
+      "step": 2847
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9654293535808895e-05,
+      "loss": 0.8961,
+      "step": 2848
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9653963135685622e-05,
+      "loss": 0.9747,
+      "step": 2849
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96536325805318e-05,
+      "loss": 0.9606,
+      "step": 2850
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9653301870352733e-05,
+      "loss": 0.7407,
+      "step": 2851
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9652971005153735e-05,
+      "loss": 1.0568,
+      "step": 2852
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.965263998494012e-05,
+      "loss": 0.7998,
+      "step": 2853
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96523088097172e-05,
+      "loss": 1.0237,
+      "step": 2854
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9651977479490293e-05,
+      "loss": 0.8599,
+      "step": 2855
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.965164599426473e-05,
+      "loss": 0.7657,
+      "step": 2856
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9651314354045817e-05,
+      "loss": 0.7387,
+      "step": 2857
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9650982558838897e-05,
+      "loss": 0.7946,
+      "step": 2858
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9650650608649285e-05,
+      "loss": 0.9502,
+      "step": 2859
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9650318503482323e-05,
+      "loss": 0.9007,
+      "step": 2860
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9649986243343335e-05,
+      "loss": 0.9425,
+      "step": 2861
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964965382823766e-05,
+      "loss": 0.874,
+      "step": 2862
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9649321258170634e-05,
+      "loss": 0.9502,
+      "step": 2863
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96489885331476e-05,
+      "loss": 1.069,
+      "step": 2864
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9648655653173906e-05,
+      "loss": 0.9804,
+      "step": 2865
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9648322618254888e-05,
+      "loss": 0.9788,
+      "step": 2866
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96479894283959e-05,
+      "loss": 0.8343,
+      "step": 2867
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9647656083602292e-05,
+      "loss": 0.9296,
+      "step": 2868
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964732258387942e-05,
+      "loss": 1.0972,
+      "step": 2869
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964698892923263e-05,
+      "loss": 0.9284,
+      "step": 2870
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964665511966729e-05,
+      "loss": 0.9151,
+      "step": 2871
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9646321155188755e-05,
+      "loss": 0.9934,
+      "step": 2872
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964598703580239e-05,
+      "loss": 0.8977,
+      "step": 2873
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964565276151356e-05,
+      "loss": 0.8153,
+      "step": 2874
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9645318332327633e-05,
+      "loss": 0.9564,
+      "step": 2875
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9644983748249982e-05,
+      "loss": 0.9564,
+      "step": 2876
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9644649009285977e-05,
+      "loss": 0.8306,
+      "step": 2877
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9644314115440995e-05,
+      "loss": 0.9828,
+      "step": 2878
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9643979066720412e-05,
+      "loss": 0.8659,
+      "step": 2879
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964364386312961e-05,
+      "loss": 1.0238,
+      "step": 2880
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964330850467397e-05,
+      "loss": 0.9154,
+      "step": 2881
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9642972991358883e-05,
+      "loss": 0.9229,
+      "step": 2882
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964263732318973e-05,
+      "loss": 0.794,
+      "step": 2883
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9642301500171904e-05,
+      "loss": 0.8833,
+      "step": 2884
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96419655223108e-05,
+      "loss": 0.9703,
+      "step": 2885
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9641629389611813e-05,
+      "loss": 0.9658,
+      "step": 2886
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964129310208034e-05,
+      "loss": 0.8109,
+      "step": 2887
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9640956659721775e-05,
+      "loss": 0.9365,
+      "step": 2888
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9640620062541532e-05,
+      "loss": 0.9178,
+      "step": 2889
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9640283310545012e-05,
+      "loss": 0.9777,
+      "step": 2890
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963994640373762e-05,
+      "loss": 1.1616,
+      "step": 2891
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9639609342124768e-05,
+      "loss": 1.0148,
+      "step": 2892
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963927212571187e-05,
+      "loss": 0.9707,
+      "step": 2893
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963893475450434e-05,
+      "loss": 1.0171,
+      "step": 2894
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9638597228507596e-05,
+      "loss": 0.8822,
+      "step": 2895
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9638259547727058e-05,
+      "loss": 0.8532,
+      "step": 2896
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963792171216815e-05,
+      "loss": 0.8939,
+      "step": 2897
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9637583721836294e-05,
+      "loss": 0.9355,
+      "step": 2898
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9637245576736923e-05,
+      "loss": 0.8904,
+      "step": 2899
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963690727687546e-05,
+      "loss": 0.7614,
+      "step": 2900
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9636568822257345e-05,
+      "loss": 0.9213,
+      "step": 2901
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963623021288801e-05,
+      "loss": 0.8907,
+      "step": 2902
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9635891448772894e-05,
+      "loss": 0.931,
+      "step": 2903
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9635552529917433e-05,
+      "loss": 0.9287,
+      "step": 2904
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9635213456327074e-05,
+      "loss": 0.858,
+      "step": 2905
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9634874228007262e-05,
+      "loss": 0.987,
+      "step": 2906
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963453484496344e-05,
+      "loss": 0.9948,
+      "step": 2907
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963419530720106e-05,
+      "loss": 0.9015,
+      "step": 2908
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963385561472558e-05,
+      "loss": 1.011,
+      "step": 2909
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9633515767542448e-05,
+      "loss": 0.9277,
+      "step": 2910
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9633175765657125e-05,
+      "loss": 0.9401,
+      "step": 2911
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9632835609075072e-05,
+      "loss": 0.8367,
+      "step": 2912
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963249529780175e-05,
+      "loss": 0.8964,
+      "step": 2913
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963215483184262e-05,
+      "loss": 1.0472,
+      "step": 2914
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963181421120315e-05,
+      "loss": 0.9402,
+      "step": 2915
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9631473435888822e-05,
+      "loss": 1.0855,
+      "step": 2916
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9631132505905095e-05,
+      "loss": 0.9127,
+      "step": 2917
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9630791421257447e-05,
+      "loss": 0.9193,
+      "step": 2918
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9630450181951362e-05,
+      "loss": 0.9682,
+      "step": 2919
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963010878799231e-05,
+      "loss": 0.9414,
+      "step": 2920
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.962976723938578e-05,
+      "loss": 0.84,
+      "step": 2921
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9629425536137253e-05,
+      "loss": 0.94,
+      "step": 2922
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9629083678252222e-05,
+      "loss": 0.7427,
+      "step": 2923
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.962874166573617e-05,
+      "loss": 0.8792,
+      "step": 2924
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.962839949859459e-05,
+      "loss": 1.0302,
+      "step": 2925
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9628057176832986e-05,
+      "loss": 0.8904,
+      "step": 2926
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9627714700456844e-05,
+      "loss": 0.9061,
+      "step": 2927
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9627372069471668e-05,
+      "loss": 0.8132,
+      "step": 2928
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.962702928388296e-05,
+      "loss": 0.9364,
+      "step": 2929
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9626686343696227e-05,
+      "loss": 0.738,
+      "step": 2930
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9626343248916972e-05,
+      "loss": 1.0329,
+      "step": 2931
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9625999999550708e-05,
+      "loss": 1.0426,
+      "step": 2932
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9625656595602947e-05,
+      "loss": 0.9291,
+      "step": 2933
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96253130370792e-05,
+      "loss": 0.8528,
+      "step": 2934
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9624969323984994e-05,
+      "loss": 0.9837,
+      "step": 2935
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.962462545632583e-05,
+      "loss": 0.9012,
+      "step": 2936
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.962428143410725e-05,
+      "loss": 0.8427,
+      "step": 2937
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9623937257334767e-05,
+      "loss": 0.9241,
+      "step": 2938
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9623592926013915e-05,
+      "loss": 0.8647,
+      "step": 2939
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9623248440150212e-05,
+      "loss": 0.859,
+      "step": 2940
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9622903799749203e-05,
+      "loss": 0.9556,
+      "step": 2941
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9622559004816418e-05,
+      "loss": 0.9461,
+      "step": 2942
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9622214055357393e-05,
+      "loss": 1.018,
+      "step": 2943
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9621868951377664e-05,
+      "loss": 0.8915,
+      "step": 2944
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.962152369288278e-05,
+      "loss": 0.9142,
+      "step": 2945
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9621178279878277e-05,
+      "loss": 0.92,
+      "step": 2946
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9620832712369712e-05,
+      "loss": 0.8982,
+      "step": 2947
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.962048699036263e-05,
+      "loss": 0.9234,
+      "step": 2948
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9620141113862578e-05,
+      "loss": 0.9465,
+      "step": 2949
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9619795082875118e-05,
+      "loss": 0.9314,
+      "step": 2950
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.96194488974058e-05,
+      "loss": 1.1093,
+      "step": 2951
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9619102557460188e-05,
+      "loss": 0.9445,
+      "step": 2952
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.961875606304384e-05,
+      "loss": 0.8091,
+      "step": 2953
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9618409414162326e-05,
+      "loss": 0.8725,
+      "step": 2954
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.961806261082121e-05,
+      "loss": 0.8869,
+      "step": 2955
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9617715653026056e-05,
+      "loss": 0.8143,
+      "step": 2956
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9617368540782444e-05,
+      "loss": 0.8821,
+      "step": 2957
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9617021274095945e-05,
+      "loss": 0.9388,
+      "step": 2958
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9616673852972133e-05,
+      "loss": 0.8554,
+      "step": 2959
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9616326277416587e-05,
+      "loss": 0.7919,
+      "step": 2960
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9615978547434896e-05,
+      "loss": 0.8193,
+      "step": 2961
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9615630663032635e-05,
+      "loss": 0.8619,
+      "step": 2962
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9615282624215397e-05,
+      "loss": 0.8565,
+      "step": 2963
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.961493443098877e-05,
+      "loss": 1.0117,
+      "step": 2964
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.961458608335834e-05,
+      "loss": 0.8943,
+      "step": 2965
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9614237581329707e-05,
+      "loss": 1.0034,
+      "step": 2966
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9613888924908468e-05,
+      "loss": 0.9022,
+      "step": 2967
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9613540114100214e-05,
+      "loss": 0.8887,
+      "step": 2968
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.961319114891056e-05,
+      "loss": 0.8693,
+      "step": 2969
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.96128420293451e-05,
+      "loss": 0.8875,
+      "step": 2970
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.961249275540944e-05,
+      "loss": 1.0156,
+      "step": 2971
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.961214332710919e-05,
+      "loss": 0.8733,
+      "step": 2972
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9611793744449964e-05,
+      "loss": 0.9718,
+      "step": 2973
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.961144400743738e-05,
+      "loss": 0.8685,
+      "step": 2974
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9611094116077042e-05,
+      "loss": 0.8511,
+      "step": 2975
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9610744070374583e-05,
+      "loss": 0.9585,
+      "step": 2976
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.961039387033561e-05,
+      "loss": 0.8547,
+      "step": 2977
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9610043515965757e-05,
+      "loss": 1.1749,
+      "step": 2978
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9609693007270647e-05,
+      "loss": 0.833,
+      "step": 2979
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.960934234425591e-05,
+      "loss": 0.9311,
+      "step": 2980
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9608991526927176e-05,
+      "loss": 0.933,
+      "step": 2981
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9608640555290077e-05,
+      "loss": 1.0776,
+      "step": 2982
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.960828942935025e-05,
+      "loss": 0.98,
+      "step": 2983
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.960793814911334e-05,
+      "loss": 0.8361,
+      "step": 2984
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9607586714584977e-05,
+      "loss": 0.8662,
+      "step": 2985
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9607235125770816e-05,
+      "loss": 0.8546,
+      "step": 2986
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9606883382676493e-05,
+      "loss": 0.8542,
+      "step": 2987
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9606531485307664e-05,
+      "loss": 0.8646,
+      "step": 2988
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.960617943366997e-05,
+      "loss": 0.8609,
+      "step": 2989
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.960582722776908e-05,
+      "loss": 0.7877,
+      "step": 2990
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9605474867610636e-05,
+      "loss": 0.9119,
+      "step": 2991
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9605122353200308e-05,
+      "loss": 0.9668,
+      "step": 2992
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9604769684543745e-05,
+      "loss": 0.9103,
+      "step": 2993
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.960441686164662e-05,
+      "loss": 1.0006,
+      "step": 2994
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9604063884514592e-05,
+      "loss": 0.8904,
+      "step": 2995
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9603710753153335e-05,
+      "loss": 0.9038,
+      "step": 2996
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9603357467568514e-05,
+      "loss": 0.9943,
+      "step": 2997
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.960300402776581e-05,
+      "loss": 0.902,
+      "step": 2998
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9602650433750893e-05,
+      "loss": 0.7862,
+      "step": 2999
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9602296685529442e-05,
+      "loss": 0.8357,
+      "step": 3000
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9601942783107138e-05,
+      "loss": 1.0436,
+      "step": 3001
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.960158872648967e-05,
+      "loss": 0.9546,
+      "step": 3002
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9601234515682712e-05,
+      "loss": 0.847,
+      "step": 3003
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.960088015069196e-05,
+      "loss": 0.9544,
+      "step": 3004
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9600525631523108e-05,
+      "loss": 0.9923,
+      "step": 3005
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9600170958181838e-05,
+      "loss": 0.9368,
+      "step": 3006
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.959981613067386e-05,
+      "loss": 0.8814,
+      "step": 3007
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9599461149004857e-05,
+      "loss": 0.9636,
+      "step": 3008
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.959910601318054e-05,
+      "loss": 0.8874,
+      "step": 3009
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9598750723206606e-05,
+      "loss": 1.0038,
+      "step": 3010
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9598395279088765e-05,
+      "loss": 0.8602,
+      "step": 3011
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9598039680832724e-05,
+      "loss": 0.7893,
+      "step": 3012
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9597683928444195e-05,
+      "loss": 0.9082,
+      "step": 3013
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9597328021928886e-05,
+      "loss": 0.9586,
+      "step": 3014
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9596971961292514e-05,
+      "loss": 0.9533,
+      "step": 3015
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9596615746540798e-05,
+      "loss": 0.9746,
+      "step": 3016
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.959625937767946e-05,
+      "loss": 0.8676,
+      "step": 3017
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.959590285471422e-05,
+      "loss": 0.9078,
+      "step": 3018
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9595546177650807e-05,
+      "loss": 0.7992,
+      "step": 3019
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9595189346494943e-05,
+      "loss": 0.8612,
+      "step": 3020
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9594832361252364e-05,
+      "loss": 0.8776,
+      "step": 3021
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9594475221928797e-05,
+      "loss": 0.8545,
+      "step": 3022
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9594117928529984e-05,
+      "loss": 0.8955,
+      "step": 3023
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9593760481061655e-05,
+      "loss": 0.9824,
+      "step": 3024
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.959340287952956e-05,
+      "loss": 1.0185,
+      "step": 3025
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9593045123939433e-05,
+      "loss": 0.8544,
+      "step": 3026
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9592687214297022e-05,
+      "loss": 1.0489,
+      "step": 3027
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9592329150608074e-05,
+      "loss": 0.977,
+      "step": 3028
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.959197093287834e-05,
+      "loss": 0.9101,
+      "step": 3029
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9591612561113574e-05,
+      "loss": 0.9432,
+      "step": 3030
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9591254035319526e-05,
+      "loss": 0.7725,
+      "step": 3031
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.959089535550196e-05,
+      "loss": 0.9346,
+      "step": 3032
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9590536521666633e-05,
+      "loss": 0.9849,
+      "step": 3033
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9590177533819304e-05,
+      "loss": 0.9862,
+      "step": 3034
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9589818391965742e-05,
+      "loss": 0.9326,
+      "step": 3035
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9589459096111714e-05,
+      "loss": 0.9892,
+      "step": 3036
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958909964626299e-05,
+      "loss": 1.0177,
+      "step": 3037
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958874004242534e-05,
+      "loss": 0.8737,
+      "step": 3038
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9588380284604543e-05,
+      "loss": 0.8532,
+      "step": 3039
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958802037280637e-05,
+      "loss": 0.908,
+      "step": 3040
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9587660307036605e-05,
+      "loss": 0.8253,
+      "step": 3041
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958730008730103e-05,
+      "loss": 0.9027,
+      "step": 3042
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9586939713605428e-05,
+      "loss": 0.8331,
+      "step": 3043
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958657918595559e-05,
+      "loss": 0.8212,
+      "step": 3044
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.95862185043573e-05,
+      "loss": 1.0557,
+      "step": 3045
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9585857668816355e-05,
+      "loss": 0.986,
+      "step": 3046
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9585496679338547e-05,
+      "loss": 0.8992,
+      "step": 3047
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9585135535929674e-05,
+      "loss": 0.9479,
+      "step": 3048
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9584774238595535e-05,
+      "loss": 0.9478,
+      "step": 3049
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958441278734193e-05,
+      "loss": 0.8383,
+      "step": 3050
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958405118217467e-05,
+      "loss": 0.9103,
+      "step": 3051
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958368942309955e-05,
+      "loss": 0.8413,
+      "step": 3052
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9583327510122397e-05,
+      "loss": 0.9389,
+      "step": 3053
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9582965443249007e-05,
+      "loss": 0.9215,
+      "step": 3054
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.95826032224852e-05,
+      "loss": 0.9118,
+      "step": 3055
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9582240847836795e-05,
+      "loss": 0.8346,
+      "step": 3056
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9581878319309608e-05,
+      "loss": 0.9246,
+      "step": 3057
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958151563690946e-05,
+      "loss": 0.9236,
+      "step": 3058
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958115280064218e-05,
+      "loss": 0.8395,
+      "step": 3059
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958078981051359e-05,
+      "loss": 0.8561,
+      "step": 3060
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9580426666529522e-05,
+      "loss": 0.8331,
+      "step": 3061
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9580063368695808e-05,
+      "loss": 0.768,
+      "step": 3062
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9579699917018278e-05,
+      "loss": 0.9024,
+      "step": 3063
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9579336311502772e-05,
+      "loss": 0.8681,
+      "step": 3064
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.957897255215513e-05,
+      "loss": 0.8737,
+      "step": 3065
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9578608638981192e-05,
+      "loss": 0.9311,
+      "step": 3066
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.95782445719868e-05,
+      "loss": 0.9546,
+      "step": 3067
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9577880351177803e-05,
+      "loss": 1.042,
+      "step": 3068
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.957751597656005e-05,
+      "loss": 0.8062,
+      "step": 3069
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.957715144813939e-05,
+      "loss": 1.0603,
+      "step": 3070
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9576786765921682e-05,
+      "loss": 0.7274,
+      "step": 3071
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9576421929912775e-05,
+      "loss": 0.9013,
+      "step": 3072
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9576056940118534e-05,
+      "loss": 0.96,
+      "step": 3073
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.957569179654482e-05,
+      "loss": 0.9074,
+      "step": 3074
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9575326499197492e-05,
+      "loss": 0.8394,
+      "step": 3075
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.957496104808242e-05,
+      "loss": 0.8048,
+      "step": 3076
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.957459544320547e-05,
+      "loss": 0.929,
+      "step": 3077
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9574229684572518e-05,
+      "loss": 0.985,
+      "step": 3078
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9573863772189432e-05,
+      "loss": 0.9897,
+      "step": 3079
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.957349770606209e-05,
+      "loss": 0.8543,
+      "step": 3080
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9573131486196372e-05,
+      "loss": 0.9253,
+      "step": 3081
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9572765112598157e-05,
+      "loss": 1.0432,
+      "step": 3082
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9572398585273333e-05,
+      "loss": 0.8736,
+      "step": 3083
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.957203190422778e-05,
+      "loss": 0.9507,
+      "step": 3084
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.957166506946739e-05,
+      "loss": 0.8342,
+      "step": 3085
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9571298080998052e-05,
+      "loss": 0.9598,
+      "step": 3086
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9570930938825662e-05,
+      "loss": 0.983,
+      "step": 3087
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9570563642956114e-05,
+      "loss": 0.8674,
+      "step": 3088
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9570196193395305e-05,
+      "loss": 0.971,
+      "step": 3089
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9569828590149135e-05,
+      "loss": 0.8171,
+      "step": 3090
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9569460833223512e-05,
+      "loss": 0.8491,
+      "step": 3091
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.956909292262434e-05,
+      "loss": 0.9231,
+      "step": 3092
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9568724858357527e-05,
+      "loss": 0.9049,
+      "step": 3093
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.956835664042898e-05,
+      "loss": 0.9067,
+      "step": 3094
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.956798826884462e-05,
+      "loss": 0.8425,
+      "step": 3095
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9567619743610354e-05,
+      "loss": 0.9542,
+      "step": 3096
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9567251064732105e-05,
+      "loss": 0.9621,
+      "step": 3097
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9566882232215788e-05,
+      "loss": 0.9015,
+      "step": 3098
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9566513246067335e-05,
+      "loss": 0.8198,
+      "step": 3099
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.956614410629267e-05,
+      "loss": 0.8562,
+      "step": 3100
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.956577481289771e-05,
+      "loss": 0.8838,
+      "step": 3101
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.95654053658884e-05,
+      "loss": 1.1215,
+      "step": 3102
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.956503576527066e-05,
+      "loss": 0.8778,
+      "step": 3103
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9564666011050435e-05,
+      "loss": 0.9348,
+      "step": 3104
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.956429610323366e-05,
+      "loss": 0.9935,
+      "step": 3105
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9563926041826272e-05,
+      "loss": 0.9587,
+      "step": 3106
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9563555826834214e-05,
+      "loss": 0.969,
+      "step": 3107
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9563185458263437e-05,
+      "loss": 0.844,
+      "step": 3108
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9562814936119885e-05,
+      "loss": 0.9362,
+      "step": 3109
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9562444260409507e-05,
+      "loss": 0.9665,
+      "step": 3110
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9562073431138255e-05,
+      "loss": 0.9264,
+      "step": 3111
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9561702448312084e-05,
+      "loss": 0.9177,
+      "step": 3112
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.956133131193696e-05,
+      "loss": 1.0323,
+      "step": 3113
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.956096002201883e-05,
+      "loss": 0.9379,
+      "step": 3114
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9560588578563667e-05,
+      "loss": 1.0431,
+      "step": 3115
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9560216981577426e-05,
+      "loss": 0.9314,
+      "step": 3116
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9559845231066084e-05,
+      "loss": 1.0272,
+      "step": 3117
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9559473327035607e-05,
+      "loss": 0.87,
+      "step": 3118
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9559101269491965e-05,
+      "loss": 0.8578,
+      "step": 3119
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9558729058441135e-05,
+      "loss": 0.9011,
+      "step": 3120
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9558356693889098e-05,
+      "loss": 0.8468,
+      "step": 3121
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9557984175841825e-05,
+      "loss": 0.9365,
+      "step": 3122
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9557611504305305e-05,
+      "loss": 0.8869,
+      "step": 3123
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.955723867928552e-05,
+      "loss": 0.8012,
+      "step": 3124
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9556865700788457e-05,
+      "loss": 0.885,
+      "step": 3125
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9556492568820107e-05,
+      "loss": 1.0291,
+      "step": 3126
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9556119283386463e-05,
+      "loss": 0.9489,
+      "step": 3127
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.955574584449352e-05,
+      "loss": 0.9481,
+      "step": 3128
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9555372252147264e-05,
+      "loss": 0.9203,
+      "step": 3129
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9554998506353707e-05,
+      "loss": 0.9823,
+      "step": 3130
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.955462460711885e-05,
+      "loss": 1.0124,
+      "step": 3131
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9554250554448692e-05,
+      "loss": 0.8338,
+      "step": 3132
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9553876348349242e-05,
+      "loss": 0.8223,
+      "step": 3133
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9553501988826514e-05,
+      "loss": 0.8694,
+      "step": 3134
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.955312747588651e-05,
+      "loss": 1.0359,
+      "step": 3135
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.955275280953525e-05,
+      "loss": 0.9713,
+      "step": 3136
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9552377989778754e-05,
+      "loss": 0.9485,
+      "step": 3137
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9552003016623032e-05,
+      "loss": 0.8093,
+      "step": 3138
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9551627890074115e-05,
+      "loss": 0.8971,
+      "step": 3139
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.955125261013802e-05,
+      "loss": 0.9467,
+      "step": 3140
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.955087717682078e-05,
+      "loss": 0.9758,
+      "step": 3141
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9550501590128418e-05,
+      "loss": 0.8302,
+      "step": 3142
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.955012585006697e-05,
+      "loss": 0.9271,
+      "step": 3143
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9549749956642464e-05,
+      "loss": 1.033,
+      "step": 3144
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9549373909860944e-05,
+      "loss": 1.0335,
+      "step": 3145
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9548997709728443e-05,
+      "loss": 0.8298,
+      "step": 3146
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9548621356251004e-05,
+      "loss": 0.9963,
+      "step": 3147
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9548244849434673e-05,
+      "loss": 0.8736,
+      "step": 3148
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9547868189285493e-05,
+      "loss": 0.8163,
+      "step": 3149
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9547491375809512e-05,
+      "loss": 0.9197,
+      "step": 3150
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.954711440901279e-05,
+      "loss": 0.8686,
+      "step": 3151
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9546737288901364e-05,
+      "loss": 0.8914,
+      "step": 3152
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9546360015481306e-05,
+      "loss": 0.7967,
+      "step": 3153
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.954598258875867e-05,
+      "loss": 0.9679,
+      "step": 3154
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.954560500873951e-05,
+      "loss": 0.8262,
+      "step": 3155
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9545227275429898e-05,
+      "loss": 1.0358,
+      "step": 3156
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.95448493888359e-05,
+      "loss": 0.9474,
+      "step": 3157
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9544471348963578e-05,
+      "loss": 0.9243,
+      "step": 3158
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9544093155819004e-05,
+      "loss": 1.001,
+      "step": 3159
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9543714809408258e-05,
+      "loss": 0.8835,
+      "step": 3160
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9543336309737406e-05,
+      "loss": 0.8537,
+      "step": 3161
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9542957656812534e-05,
+      "loss": 1.0369,
+      "step": 3162
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9542578850639717e-05,
+      "loss": 0.9671,
+      "step": 3163
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9542199891225046e-05,
+      "loss": 1.0333,
+      "step": 3164
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9541820778574597e-05,
+      "loss": 0.8123,
+      "step": 3165
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.954144151269447e-05,
+      "loss": 0.871,
+      "step": 3166
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.954106209359074e-05,
+      "loss": 0.9633,
+      "step": 3167
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9540682521269515e-05,
+      "loss": 0.9463,
+      "step": 3168
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9540302795736878e-05,
+      "loss": 0.8907,
+      "step": 3169
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9539922916998935e-05,
+      "loss": 1.019,
+      "step": 3170
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9539542885061785e-05,
+      "loss": 0.8907,
+      "step": 3171
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9539162699931534e-05,
+      "loss": 0.8222,
+      "step": 3172
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9538782361614277e-05,
+      "loss": 0.9069,
+      "step": 3173
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9538401870116132e-05,
+      "loss": 1.0276,
+      "step": 3174
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9538021225443202e-05,
+      "loss": 1.0049,
+      "step": 3175
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9537640427601605e-05,
+      "loss": 0.9974,
+      "step": 3176
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9537259476597455e-05,
+      "loss": 0.9669,
+      "step": 3177
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9536878372436866e-05,
+      "loss": 0.8563,
+      "step": 3178
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.953649711512596e-05,
+      "loss": 0.9065,
+      "step": 3179
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9536115704670865e-05,
+      "loss": 0.8842,
+      "step": 3180
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9535734141077694e-05,
+      "loss": 1.0364,
+      "step": 3181
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9535352424352588e-05,
+      "loss": 0.9883,
+      "step": 3182
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.953497055450167e-05,
+      "loss": 0.9242,
+      "step": 3183
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.953458853153107e-05,
+      "loss": 0.8398,
+      "step": 3184
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9534206355446927e-05,
+      "loss": 0.9958,
+      "step": 3185
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.953382402625538e-05,
+      "loss": 0.8669,
+      "step": 3186
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.953344154396256e-05,
+      "loss": 1.0529,
+      "step": 3187
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9533058908574617e-05,
+      "loss": 0.9169,
+      "step": 3188
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9532676120097696e-05,
+      "loss": 0.9317,
+      "step": 3189
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.953229317853794e-05,
+      "loss": 0.9756,
+      "step": 3190
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.95319100839015e-05,
+      "loss": 0.8336,
+      "step": 3191
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9531526836194526e-05,
+      "loss": 0.9845,
+      "step": 3192
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9531143435423176e-05,
+      "loss": 0.9092,
+      "step": 3193
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.953075988159361e-05,
+      "loss": 1.1021,
+      "step": 3194
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9530376174711977e-05,
+      "loss": 0.8511,
+      "step": 3195
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9529992314784446e-05,
+      "loss": 0.8946,
+      "step": 3196
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.952960830181718e-05,
+      "loss": 0.9086,
+      "step": 3197
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9529224135816348e-05,
+      "loss": 0.8947,
+      "step": 3198
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.952883981678812e-05,
+      "loss": 0.8629,
+      "step": 3199
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.952845534473866e-05,
+      "loss": 0.8549,
+      "step": 3200
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.952807071967415e-05,
+      "loss": 0.8895,
+      "step": 3201
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9527685941600762e-05,
+      "loss": 0.954,
+      "step": 3202
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9527301010524677e-05,
+      "loss": 0.9781,
+      "step": 3203
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9526915926452073e-05,
+      "loss": 0.9608,
+      "step": 3204
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.952653068938914e-05,
+      "loss": 0.9342,
+      "step": 3205
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9526145299342063e-05,
+      "loss": 0.9417,
+      "step": 3206
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9525759756317026e-05,
+      "loss": 1.0213,
+      "step": 3207
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9525374060320228e-05,
+      "loss": 0.94,
+      "step": 3208
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9524988211357855e-05,
+      "loss": 0.957,
+      "step": 3209
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.952460220943611e-05,
+      "loss": 1.0073,
+      "step": 3210
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9524216054561186e-05,
+      "loss": 1.0102,
+      "step": 3211
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9523829746739286e-05,
+      "loss": 0.8705,
+      "step": 3212
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9523443285976617e-05,
+      "loss": 0.8657,
+      "step": 3213
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.952305667227938e-05,
+      "loss": 0.986,
+      "step": 3214
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9522669905653787e-05,
+      "loss": 0.8879,
+      "step": 3215
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9522282986106045e-05,
+      "loss": 0.8629,
+      "step": 3216
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9521895913642375e-05,
+      "loss": 0.916,
+      "step": 3217
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9521508688268986e-05,
+      "loss": 0.9451,
+      "step": 3218
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.95211213099921e-05,
+      "loss": 0.89,
+      "step": 3219
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9520733778817936e-05,
+      "loss": 0.8805,
+      "step": 3220
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9520346094752716e-05,
+      "loss": 0.8957,
+      "step": 3221
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9519958257802668e-05,
+      "loss": 0.8972,
+      "step": 3222
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.951957026797402e-05,
+      "loss": 0.885,
+      "step": 3223
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9519182125273e-05,
+      "loss": 0.9745,
+      "step": 3224
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9518793829705846e-05,
+      "loss": 0.9495,
+      "step": 3225
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9518405381278793e-05,
+      "loss": 0.926,
+      "step": 3226
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.951801677999807e-05,
+      "loss": 0.9229,
+      "step": 3227
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.951762802586993e-05,
+      "loss": 0.831,
+      "step": 3228
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9517239118900607e-05,
+      "loss": 0.847,
+      "step": 3229
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.951685005909635e-05,
+      "loss": 0.9695,
+      "step": 3230
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9516460846463408e-05,
+      "loss": 0.78,
+      "step": 3231
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.951607148100803e-05,
+      "loss": 1.0947,
+      "step": 3232
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9515681962736467e-05,
+      "loss": 0.8774,
+      "step": 3233
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9515292291654976e-05,
+      "loss": 1.0303,
+      "step": 3234
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9514902467769812e-05,
+      "loss": 0.9787,
+      "step": 3235
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.951451249108724e-05,
+      "loss": 0.9022,
+      "step": 3236
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.951412236161352e-05,
+      "loss": 0.813,
+      "step": 3237
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9513732079354912e-05,
+      "loss": 0.8279,
+      "step": 3238
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9513341644317692e-05,
+      "loss": 0.7946,
+      "step": 3239
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9512951056508126e-05,
+      "loss": 1.0092,
+      "step": 3240
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9512560315932485e-05,
+      "loss": 0.9629,
+      "step": 3241
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9512169422597048e-05,
+      "loss": 0.9693,
+      "step": 3242
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9511778376508088e-05,
+      "loss": 0.8761,
+      "step": 3243
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9511387177671885e-05,
+      "loss": 0.902,
+      "step": 3244
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9510995826094723e-05,
+      "loss": 0.9253,
+      "step": 3245
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9510604321782887e-05,
+      "loss": 0.8899,
+      "step": 3246
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9510212664742663e-05,
+      "loss": 0.9284,
+      "step": 3247
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9509820854980338e-05,
+      "loss": 0.98,
+      "step": 3248
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9509428892502208e-05,
+      "loss": 0.8229,
+      "step": 3249
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9509036777314568e-05,
+      "loss": 0.9915,
+      "step": 3250
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9508644509423712e-05,
+      "loss": 0.8512,
+      "step": 3251
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9508252088835938e-05,
+      "loss": 0.9618,
+      "step": 3252
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.950785951555755e-05,
+      "loss": 1.1227,
+      "step": 3253
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9507466789594853e-05,
+      "loss": 0.9487,
+      "step": 3254
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9507073910954154e-05,
+      "loss": 0.9334,
+      "step": 3255
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.950668087964176e-05,
+      "loss": 0.9409,
+      "step": 3256
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9506287695663986e-05,
+      "loss": 0.9142,
+      "step": 3257
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.950589435902714e-05,
+      "loss": 0.7785,
+      "step": 3258
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9505500869737545e-05,
+      "loss": 0.901,
+      "step": 3259
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9505107227801515e-05,
+      "loss": 0.858,
+      "step": 3260
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9504713433225374e-05,
+      "loss": 0.992,
+      "step": 3261
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9504319486015448e-05,
+      "loss": 0.7732,
+      "step": 3262
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.950392538617806e-05,
+      "loss": 0.8387,
+      "step": 3263
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9503531133719535e-05,
+      "loss": 0.9992,
+      "step": 3264
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9503136728646213e-05,
+      "loss": 0.7559,
+      "step": 3265
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9502742170964422e-05,
+      "loss": 0.9595,
+      "step": 3266
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9502347460680498e-05,
+      "loss": 0.925,
+      "step": 3267
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9501952597800783e-05,
+      "loss": 0.7285,
+      "step": 3268
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9501557582331613e-05,
+      "loss": 0.9047,
+      "step": 3269
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9501162414279337e-05,
+      "loss": 0.9319,
+      "step": 3270
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9500767093650298e-05,
+      "loss": 0.9573,
+      "step": 3271
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9500371620450842e-05,
+      "loss": 0.8276,
+      "step": 3272
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9499975994687322e-05,
+      "loss": 1.0735,
+      "step": 3273
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9499580216366097e-05,
+      "loss": 1.0186,
+      "step": 3274
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9499184285493516e-05,
+      "loss": 0.9886,
+      "step": 3275
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9498788202075936e-05,
+      "loss": 0.9159,
+      "step": 3276
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.949839196611972e-05,
+      "loss": 0.943,
+      "step": 3277
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9497995577631233e-05,
+      "loss": 0.9499,
+      "step": 3278
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9497599036616836e-05,
+      "loss": 0.9007,
+      "step": 3279
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9497202343082905e-05,
+      "loss": 0.8921,
+      "step": 3280
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.94968054970358e-05,
+      "loss": 0.8924,
+      "step": 3281
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.94964084984819e-05,
+      "loss": 0.9544,
+      "step": 3282
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.949601134742758e-05,
+      "loss": 1.0488,
+      "step": 3283
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9495614043879216e-05,
+      "loss": 1.0491,
+      "step": 3284
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.949521658784319e-05,
+      "loss": 0.8503,
+      "step": 3285
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.949481897932588e-05,
+      "loss": 0.9555,
+      "step": 3286
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.949442121833368e-05,
+      "loss": 0.935,
+      "step": 3287
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9494023304872975e-05,
+      "loss": 0.9303,
+      "step": 3288
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9493625238950143e-05,
+      "loss": 1.0254,
+      "step": 3289
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9493227020571593e-05,
+      "loss": 0.9146,
+      "step": 3290
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.949282864974371e-05,
+      "loss": 0.9147,
+      "step": 3291
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9492430126472897e-05,
+      "loss": 0.7711,
+      "step": 3292
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9492031450765548e-05,
+      "loss": 0.874,
+      "step": 3293
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9491632622628067e-05,
+      "loss": 0.9714,
+      "step": 3294
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.949123364206686e-05,
+      "loss": 0.9861,
+      "step": 3295
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9490834509088336e-05,
+      "loss": 0.9424,
+      "step": 3296
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9490435223698902e-05,
+      "loss": 0.9288,
+      "step": 3297
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9490035785904972e-05,
+      "loss": 0.9247,
+      "step": 3298
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.948963619571296e-05,
+      "loss": 0.8852,
+      "step": 3299
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9489236453129276e-05,
+      "loss": 0.8662,
+      "step": 3300
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.948883655816035e-05,
+      "loss": 0.8571,
+      "step": 3301
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9488436510812594e-05,
+      "loss": 0.8987,
+      "step": 3302
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9488036311092442e-05,
+      "loss": 0.9392,
+      "step": 3303
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9487635959006314e-05,
+      "loss": 0.7737,
+      "step": 3304
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9487235454560642e-05,
+      "loss": 0.8191,
+      "step": 3305
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9486834797761855e-05,
+      "loss": 0.9926,
+      "step": 3306
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9486433988616392e-05,
+      "loss": 0.9843,
+      "step": 3307
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9486033027130685e-05,
+      "loss": 0.9278,
+      "step": 3308
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9485631913311175e-05,
+      "loss": 0.888,
+      "step": 3309
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9485230647164298e-05,
+      "loss": 0.9407,
+      "step": 3310
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.948482922869651e-05,
+      "loss": 0.9012,
+      "step": 3311
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9484427657914248e-05,
+      "loss": 1.0607,
+      "step": 3312
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9484025934823955e-05,
+      "loss": 1.0119,
+      "step": 3313
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9483624059432097e-05,
+      "loss": 0.8741,
+      "step": 3314
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9483222031745118e-05,
+      "loss": 0.8151,
+      "step": 3315
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9482819851769475e-05,
+      "loss": 0.8707,
+      "step": 3316
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.948241751951163e-05,
+      "loss": 0.872,
+      "step": 3317
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.948201503497804e-05,
+      "loss": 0.8672,
+      "step": 3318
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9481612398175175e-05,
+      "loss": 1.0017,
+      "step": 3319
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.948120960910949e-05,
+      "loss": 0.8125,
+      "step": 3320
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.948080666778746e-05,
+      "loss": 0.8574,
+      "step": 3321
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.948040357421556e-05,
+      "loss": 0.9801,
+      "step": 3322
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9480000328400254e-05,
+      "loss": 0.8062,
+      "step": 3323
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9479596930348024e-05,
+      "loss": 0.9701,
+      "step": 3324
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9479193380065343e-05,
+      "loss": 0.9758,
+      "step": 3325
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9478789677558697e-05,
+      "loss": 0.7571,
+      "step": 3326
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9478385822834563e-05,
+      "loss": 0.916,
+      "step": 3327
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9477981815899435e-05,
+      "loss": 0.9343,
+      "step": 3328
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.947757765675979e-05,
+      "loss": 1.0262,
+      "step": 3329
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9477173345422126e-05,
+      "loss": 0.8581,
+      "step": 3330
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.947676888189294e-05,
+      "loss": 0.8797,
+      "step": 3331
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.947636426617871e-05,
+      "loss": 0.9143,
+      "step": 3332
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.947595949828595e-05,
+      "loss": 0.9252,
+      "step": 3333
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9475554578221154e-05,
+      "loss": 0.9989,
+      "step": 3334
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9475149505990828e-05,
+      "loss": 0.9147,
+      "step": 3335
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.947474428160147e-05,
+      "loss": 0.9261,
+      "step": 3336
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.947433890505959e-05,
+      "loss": 0.9465,
+      "step": 3337
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9473933376371704e-05,
+      "loss": 0.9186,
+      "step": 3338
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9473527695544316e-05,
+      "loss": 0.9636,
+      "step": 3339
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9473121862583946e-05,
+      "loss": 0.9726,
+      "step": 3340
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.947271587749711e-05,
+      "loss": 0.8885,
+      "step": 3341
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9472309740290324e-05,
+      "loss": 0.9738,
+      "step": 3342
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9471903450970116e-05,
+      "loss": 0.8656,
+      "step": 3343
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9471497009543005e-05,
+      "loss": 0.9046,
+      "step": 3344
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9471090416015522e-05,
+      "loss": 0.8683,
+      "step": 3345
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9470683670394194e-05,
+      "loss": 0.9079,
+      "step": 3346
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9470276772685555e-05,
+      "loss": 0.8992,
+      "step": 3347
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.946986972289614e-05,
+      "loss": 0.9045,
+      "step": 3348
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.946946252103248e-05,
+      "loss": 0.8174,
+      "step": 3349
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9469055167101115e-05,
+      "loss": 0.8635,
+      "step": 3350
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9468647661108592e-05,
+      "loss": 0.8499,
+      "step": 3351
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9468240003061455e-05,
+      "loss": 0.9512,
+      "step": 3352
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9467832192966246e-05,
+      "loss": 0.7723,
+      "step": 3353
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9467424230829514e-05,
+      "loss": 0.8708,
+      "step": 3354
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9467016116657818e-05,
+      "loss": 0.8779,
+      "step": 3355
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.94666078504577e-05,
+      "loss": 0.9941,
+      "step": 3356
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9466199432235726e-05,
+      "loss": 1.0676,
+      "step": 3357
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.946579086199845e-05,
+      "loss": 0.9418,
+      "step": 3358
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9465382139752433e-05,
+      "loss": 0.9286,
+      "step": 3359
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9464973265504243e-05,
+      "loss": 0.9072,
+      "step": 3360
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9464564239260436e-05,
+      "loss": 0.9091,
+      "step": 3361
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.946415506102759e-05,
+      "loss": 1.0796,
+      "step": 3362
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9463745730812276e-05,
+      "loss": 0.8644,
+      "step": 3363
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9463336248621062e-05,
+      "loss": 1.0176,
+      "step": 3364
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9462926614460527e-05,
+      "loss": 0.9291,
+      "step": 3365
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9462516828337245e-05,
+      "loss": 0.9295,
+      "step": 3366
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9462106890257805e-05,
+      "loss": 0.851,
+      "step": 3367
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9461696800228783e-05,
+      "loss": 0.9085,
+      "step": 3368
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9461286558256764e-05,
+      "loss": 0.9168,
+      "step": 3369
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9460876164348342e-05,
+      "loss": 0.9882,
+      "step": 3370
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9460465618510104e-05,
+      "loss": 0.8736,
+      "step": 3371
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.946005492074864e-05,
+      "loss": 0.9332,
+      "step": 3372
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.945964407107055e-05,
+      "loss": 1.0616,
+      "step": 3373
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.945923306948243e-05,
+      "loss": 0.8998,
+      "step": 3374
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9458821915990877e-05,
+      "loss": 1.0175,
+      "step": 3375
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.94584106106025e-05,
+      "loss": 0.9228,
+      "step": 3376
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.94579991533239e-05,
+      "loss": 0.9199,
+      "step": 3377
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9457587544161686e-05,
+      "loss": 0.9458,
+      "step": 3378
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9457175783122464e-05,
+      "loss": 1.0216,
+      "step": 3379
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9456763870212853e-05,
+      "loss": 0.9211,
+      "step": 3380
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.945635180543946e-05,
+      "loss": 0.9588,
+      "step": 3381
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.945593958880891e-05,
+      "loss": 0.9634,
+      "step": 3382
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9455527220327816e-05,
+      "loss": 0.9725,
+      "step": 3383
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9455114700002808e-05,
+      "loss": 0.8306,
+      "step": 3384
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9454702027840503e-05,
+      "loss": 0.7885,
+      "step": 3385
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.945428920384753e-05,
+      "loss": 0.9966,
+      "step": 3386
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.945387622803052e-05,
+      "loss": 0.8783,
+      "step": 3387
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9453463100396103e-05,
+      "loss": 0.9439,
+      "step": 3388
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9453049820950918e-05,
+      "loss": 0.9525,
+      "step": 3389
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9452636389701593e-05,
+      "loss": 1.0259,
+      "step": 3390
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9452222806654778e-05,
+      "loss": 0.8658,
+      "step": 3391
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9451809071817105e-05,
+      "loss": 0.9345,
+      "step": 3392
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9451395185195224e-05,
+      "loss": 0.8642,
+      "step": 3393
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.945098114679578e-05,
+      "loss": 0.8738,
+      "step": 3394
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.945056695662542e-05,
+      "loss": 0.845,
+      "step": 3395
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9450152614690798e-05,
+      "loss": 1.0227,
+      "step": 3396
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9449738120998563e-05,
+      "loss": 0.8269,
+      "step": 3397
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9449323475555383e-05,
+      "loss": 0.9857,
+      "step": 3398
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9448908678367903e-05,
+      "loss": 0.9426,
+      "step": 3399
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.944849372944279e-05,
+      "loss": 0.8844,
+      "step": 3400
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.944807862878671e-05,
+      "loss": 0.8856,
+      "step": 3401
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9447663376406323e-05,
+      "loss": 1.022,
+      "step": 3402
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9447247972308305e-05,
+      "loss": 0.9206,
+      "step": 3403
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9446832416499316e-05,
+      "loss": 1.0028,
+      "step": 3404
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.944641670898604e-05,
+      "loss": 0.9083,
+      "step": 3405
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.944600084977515e-05,
+      "loss": 0.8549,
+      "step": 3406
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9445584838873318e-05,
+      "loss": 0.9256,
+      "step": 3407
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9445168676287233e-05,
+      "loss": 0.9432,
+      "step": 3408
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9444752362023575e-05,
+      "loss": 0.9782,
+      "step": 3409
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.944433589608903e-05,
+      "loss": 0.9257,
+      "step": 3410
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9443919278490278e-05,
+      "loss": 0.9063,
+      "step": 3411
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9443502509234026e-05,
+      "loss": 0.9033,
+      "step": 3412
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.944308558832695e-05,
+      "loss": 0.7792,
+      "step": 3413
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9442668515775755e-05,
+      "loss": 0.8646,
+      "step": 3414
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9442251291587136e-05,
+      "loss": 0.8958,
+      "step": 3415
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9441833915767795e-05,
+      "loss": 0.8759,
+      "step": 3416
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9441416388324427e-05,
+      "loss": 0.9106,
+      "step": 3417
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9440998709263747e-05,
+      "loss": 0.9661,
+      "step": 3418
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.944058087859246e-05,
+      "loss": 0.815,
+      "step": 3419
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9440162896317268e-05,
+      "loss": 0.9957,
+      "step": 3420
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9439744762444893e-05,
+      "loss": 0.9876,
+      "step": 3421
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9439326476982044e-05,
+      "loss": 0.9758,
+      "step": 3422
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.943890803993544e-05,
+      "loss": 0.7807,
+      "step": 3423
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9438489451311802e-05,
+      "loss": 0.9017,
+      "step": 3424
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9438070711117848e-05,
+      "loss": 0.9032,
+      "step": 3425
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9437651819360308e-05,
+      "loss": 1.0332,
+      "step": 3426
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9437232776045903e-05,
+      "loss": 0.8704,
+      "step": 3427
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9436813581181366e-05,
+      "loss": 1.0429,
+      "step": 3428
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.943639423477343e-05,
+      "loss": 0.8439,
+      "step": 3429
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9435974736828825e-05,
+      "loss": 0.7395,
+      "step": 3430
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.943555508735429e-05,
+      "loss": 0.9208,
+      "step": 3431
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9435135286356563e-05,
+      "loss": 0.914,
+      "step": 3432
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9434715333842383e-05,
+      "loss": 0.8609,
+      "step": 3433
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9434295229818505e-05,
+      "loss": 0.9368,
+      "step": 3434
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.943387497429166e-05,
+      "loss": 1.0222,
+      "step": 3435
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9433454567268607e-05,
+      "loss": 0.8851,
+      "step": 3436
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9433034008756096e-05,
+      "loss": 0.8334,
+      "step": 3437
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.943261329876088e-05,
+      "loss": 0.8257,
+      "step": 3438
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9432192437289712e-05,
+      "loss": 0.9989,
+      "step": 3439
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9431771424349354e-05,
+      "loss": 0.903,
+      "step": 3440
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9431350259946563e-05,
+      "loss": 1.01,
+      "step": 3441
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9430928944088107e-05,
+      "loss": 0.9257,
+      "step": 3442
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.943050747678075e-05,
+      "loss": 1.0211,
+      "step": 3443
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9430085858031258e-05,
+      "loss": 0.7998,
+      "step": 3444
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9429664087846407e-05,
+      "loss": 1.0568,
+      "step": 3445
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9429242166232966e-05,
+      "loss": 0.8524,
+      "step": 3446
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9428820093197708e-05,
+      "loss": 0.8343,
+      "step": 3447
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9428397868747416e-05,
+      "loss": 0.9619,
+      "step": 3448
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9427975492888868e-05,
+      "loss": 0.8227,
+      "step": 3449
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9427552965628848e-05,
+      "loss": 0.7812,
+      "step": 3450
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9427130286974144e-05,
+      "loss": 0.9441,
+      "step": 3451
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9426707456931534e-05,
+      "loss": 0.8404,
+      "step": 3452
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.942628447550782e-05,
+      "loss": 0.9931,
+      "step": 3453
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9425861342709788e-05,
+      "loss": 0.9104,
+      "step": 3454
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9425438058544233e-05,
+      "loss": 0.8794,
+      "step": 3455
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9425014623017953e-05,
+      "loss": 0.8168,
+      "step": 3456
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.942459103613775e-05,
+      "loss": 0.7887,
+      "step": 3457
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9424167297910425e-05,
+      "loss": 0.9563,
+      "step": 3458
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.942374340834278e-05,
+      "loss": 0.8941,
+      "step": 3459
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9423319367441625e-05,
+      "loss": 0.9171,
+      "step": 3460
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9422895175213772e-05,
+      "loss": 0.9065,
+      "step": 3461
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.942247083166603e-05,
+      "loss": 0.7772,
+      "step": 3462
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9422046336805207e-05,
+      "loss": 0.9182,
+      "step": 3463
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.942162169063813e-05,
+      "loss": 1.0002,
+      "step": 3464
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9421196893171617e-05,
+      "loss": 0.9406,
+      "step": 3465
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9420771944412486e-05,
+      "loss": 0.8563,
+      "step": 3466
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9420346844367562e-05,
+      "loss": 0.9483,
+      "step": 3467
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.941992159304367e-05,
+      "loss": 0.9508,
+      "step": 3468
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9419496190447645e-05,
+      "loss": 0.8131,
+      "step": 3469
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.941907063658631e-05,
+      "loss": 0.7972,
+      "step": 3470
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9418644931466507e-05,
+      "loss": 0.9809,
+      "step": 3471
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.941821907509507e-05,
+      "loss": 0.8422,
+      "step": 3472
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9417793067478832e-05,
+      "loss": 0.8805,
+      "step": 3473
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9417366908624638e-05,
+      "loss": 0.8468,
+      "step": 3474
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9416940598539335e-05,
+      "loss": 0.9267,
+      "step": 3475
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9416514137229767e-05,
+      "loss": 0.9232,
+      "step": 3476
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.941608752470278e-05,
+      "loss": 0.9321,
+      "step": 3477
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9415660760965223e-05,
+      "loss": 0.8504,
+      "step": 3478
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.941523384602396e-05,
+      "loss": 0.8831,
+      "step": 3479
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9414806779885836e-05,
+      "loss": 0.9804,
+      "step": 3480
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.941437956255771e-05,
+      "loss": 0.7973,
+      "step": 3481
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.941395219404645e-05,
+      "loss": 0.9124,
+      "step": 3482
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9413524674358907e-05,
+      "loss": 1.0484,
+      "step": 3483
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.941309700350196e-05,
+      "loss": 0.8935,
+      "step": 3484
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9412669181482467e-05,
+      "loss": 0.8391,
+      "step": 3485
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.94122412083073e-05,
+      "loss": 0.7474,
+      "step": 3486
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.941181308398334e-05,
+      "loss": 0.8856,
+      "step": 3487
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.941138480851745e-05,
+      "loss": 1.0299,
+      "step": 3488
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9410956381916514e-05,
+      "loss": 0.8361,
+      "step": 3489
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9410527804187412e-05,
+      "loss": 0.9122,
+      "step": 3490
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9410099075337028e-05,
+      "loss": 0.838,
+      "step": 3491
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940967019537224e-05,
+      "loss": 0.9397,
+      "step": 3492
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9409241164299942e-05,
+      "loss": 0.9423,
+      "step": 3493
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940881198212702e-05,
+      "loss": 1.0846,
+      "step": 3494
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940838264886037e-05,
+      "loss": 0.8621,
+      "step": 3495
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940795316450688e-05,
+      "loss": 1.0287,
+      "step": 3496
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9407523529073455e-05,
+      "loss": 1.0874,
+      "step": 3497
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9407093742566988e-05,
+      "loss": 0.9153,
+      "step": 3498
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9406663804994384e-05,
+      "loss": 0.7993,
+      "step": 3499
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9406233716362544e-05,
+      "loss": 0.9417,
+      "step": 3500
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940580347667838e-05,
+      "loss": 1.064,
+      "step": 3501
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.94053730859488e-05,
+      "loss": 0.9278,
+      "step": 3502
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940494254418071e-05,
+      "loss": 0.9521,
+      "step": 3503
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9404511851381032e-05,
+      "loss": 1.1003,
+      "step": 3504
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9404081007556673e-05,
+      "loss": 0.9726,
+      "step": 3505
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9403650012714563e-05,
+      "loss": 0.9746,
+      "step": 3506
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940321886686161e-05,
+      "loss": 0.7951,
+      "step": 3507
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940278757000475e-05,
+      "loss": 0.8806,
+      "step": 3508
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.94023561221509e-05,
+      "loss": 0.8654,
+      "step": 3509
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9401924523306998e-05,
+      "loss": 0.8797,
+      "step": 3510
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9401492773479966e-05,
+      "loss": 0.9211,
+      "step": 3511
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940106087267674e-05,
+      "loss": 0.9168,
+      "step": 3512
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940062882090426e-05,
+      "loss": 0.8241,
+      "step": 3513
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940019661816946e-05,
+      "loss": 0.886,
+      "step": 3514
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.939976426447928e-05,
+      "loss": 0.8636,
+      "step": 3515
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9399331759840664e-05,
+      "loss": 0.8471,
+      "step": 3516
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.939889910426056e-05,
+      "loss": 0.8736,
+      "step": 3517
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.939846629774591e-05,
+      "loss": 0.8641,
+      "step": 3518
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.939803334030367e-05,
+      "loss": 0.7024,
+      "step": 3519
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9397600231940795e-05,
+      "loss": 0.8299,
+      "step": 3520
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9397166972664232e-05,
+      "loss": 0.9853,
+      "step": 3521
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9396733562480943e-05,
+      "loss": 0.8454,
+      "step": 3522
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9396300001397888e-05,
+      "loss": 0.9241,
+      "step": 3523
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.939586628942203e-05,
+      "loss": 1.018,
+      "step": 3524
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9395432426560332e-05,
+      "loss": 0.8707,
+      "step": 3525
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9394998412819763e-05,
+      "loss": 0.7979,
+      "step": 3526
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.939456424820729e-05,
+      "loss": 0.8403,
+      "step": 3527
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9394129932729893e-05,
+      "loss": 1.0022,
+      "step": 3528
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9393695466394535e-05,
+      "loss": 0.9175,
+      "step": 3529
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9393260849208202e-05,
+      "loss": 0.7635,
+      "step": 3530
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.939282608117787e-05,
+      "loss": 0.8137,
+      "step": 3531
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9392391162310516e-05,
+      "loss": 0.9172,
+      "step": 3532
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9391956092613132e-05,
+      "loss": 0.9504,
+      "step": 3533
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9391520872092705e-05,
+      "loss": 1.0518,
+      "step": 3534
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9391085500756223e-05,
+      "loss": 0.7928,
+      "step": 3535
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.939064997861067e-05,
+      "loss": 0.8781,
+      "step": 3536
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9390214305663048e-05,
+      "loss": 0.8969,
+      "step": 3537
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.938977848192035e-05,
+      "loss": 0.9635,
+      "step": 3538
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9389342507389573e-05,
+      "loss": 0.8448,
+      "step": 3539
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9388906382077724e-05,
+      "loss": 0.8815,
+      "step": 3540
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9388470105991805e-05,
+      "loss": 0.8827,
+      "step": 3541
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9388033679138818e-05,
+      "loss": 0.7871,
+      "step": 3542
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9387597101525775e-05,
+      "loss": 0.9043,
+      "step": 3543
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9387160373159684e-05,
+      "loss": 0.8536,
+      "step": 3544
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.938672349404756e-05,
+      "loss": 0.9117,
+      "step": 3545
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.938628646419642e-05,
+      "loss": 0.8446,
+      "step": 3546
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9385849283613282e-05,
+      "loss": 0.9843,
+      "step": 3547
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9385411952305166e-05,
+      "loss": 0.9653,
+      "step": 3548
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9384974470279093e-05,
+      "loss": 0.8254,
+      "step": 3549
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.938453683754209e-05,
+      "loss": 0.9257,
+      "step": 3550
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9384099054101187e-05,
+      "loss": 0.9011,
+      "step": 3551
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.938366111996341e-05,
+      "loss": 0.8885,
+      "step": 3552
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9383223035135798e-05,
+      "loss": 0.9431,
+      "step": 3553
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9382784799625377e-05,
+      "loss": 0.8569,
+      "step": 3554
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.938234641343919e-05,
+      "loss": 0.8883,
+      "step": 3555
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9381907876584277e-05,
+      "loss": 0.9232,
+      "step": 3556
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.938146918906768e-05,
+      "loss": 0.9412,
+      "step": 3557
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.938103035089644e-05,
+      "loss": 0.7855,
+      "step": 3558
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9380591362077614e-05,
+      "loss": 1.0123,
+      "step": 3559
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9380152222618243e-05,
+      "loss": 0.9149,
+      "step": 3560
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.937971293252538e-05,
+      "loss": 0.9324,
+      "step": 3561
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.937927349180608e-05,
+      "loss": 0.8955,
+      "step": 3562
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9378833900467403e-05,
+      "loss": 0.9301,
+      "step": 3563
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9378394158516406e-05,
+      "loss": 0.8371,
+      "step": 3564
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9377954265960147e-05,
+      "loss": 0.9785,
+      "step": 3565
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9377514222805698e-05,
+      "loss": 1.0378,
+      "step": 3566
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9377074029060118e-05,
+      "loss": 0.8965,
+      "step": 3567
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.937663368473048e-05,
+      "loss": 0.8773,
+      "step": 3568
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9376193189823858e-05,
+      "loss": 0.8329,
+      "step": 3569
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.937575254434732e-05,
+      "loss": 1.0144,
+      "step": 3570
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9375311748307944e-05,
+      "loss": 0.9092,
+      "step": 3571
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.937487080171281e-05,
+      "loss": 0.7912,
+      "step": 3572
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9374429704568997e-05,
+      "loss": 0.8072,
+      "step": 3573
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.937398845688359e-05,
+      "loss": 0.9827,
+      "step": 3574
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9373547058663674e-05,
+      "loss": 0.909,
+      "step": 3575
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9373105509916338e-05,
+      "loss": 0.8031,
+      "step": 3576
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9372663810648675e-05,
+      "loss": 0.9717,
+      "step": 3577
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9372221960867773e-05,
+      "loss": 1.0078,
+      "step": 3578
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9371779960580735e-05,
+      "loss": 0.8757,
+      "step": 3579
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.937133780979465e-05,
+      "loss": 0.9093,
+      "step": 3580
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9370895508516624e-05,
+      "loss": 1.079,
+      "step": 3581
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9370453056753757e-05,
+      "loss": 0.8828,
+      "step": 3582
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9370010454513156e-05,
+      "loss": 1.0434,
+      "step": 3583
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9369567701801933e-05,
+      "loss": 0.9482,
+      "step": 3584
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.936912479862719e-05,
+      "loss": 1.0006,
+      "step": 3585
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9368681744996043e-05,
+      "loss": 0.9216,
+      "step": 3586
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.936823854091561e-05,
+      "loss": 0.8219,
+      "step": 3587
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9367795186392996e-05,
+      "loss": 0.9436,
+      "step": 3588
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.936735168143534e-05,
+      "loss": 0.8721,
+      "step": 3589
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9366908026049747e-05,
+      "loss": 0.956,
+      "step": 3590
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9366464220243352e-05,
+      "loss": 0.9624,
+      "step": 3591
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.936602026402328e-05,
+      "loss": 0.793,
+      "step": 3592
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9365576157396652e-05,
+      "loss": 0.8462,
+      "step": 3593
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9365131900370612e-05,
+      "loss": 0.8156,
+      "step": 3594
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9364687492952286e-05,
+      "loss": 0.8499,
+      "step": 3595
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9364242935148817e-05,
+      "loss": 0.8685,
+      "step": 3596
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.936379822696734e-05,
+      "loss": 0.9154,
+      "step": 3597
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9363353368414995e-05,
+      "loss": 0.9489,
+      "step": 3598
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9362908359498932e-05,
+      "loss": 0.9777,
+      "step": 3599
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9362463200226288e-05,
+      "loss": 0.8454,
+      "step": 3600
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9362017890604215e-05,
+      "loss": 0.8663,
+      "step": 3601
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9361572430639873e-05,
+      "loss": 0.9006,
+      "step": 3602
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9361126820340406e-05,
+      "loss": 0.8543,
+      "step": 3603
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.936068105971297e-05,
+      "loss": 0.9398,
+      "step": 3604
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.936023514876473e-05,
+      "loss": 0.9154,
+      "step": 3605
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9359789087502837e-05,
+      "loss": 0.876,
+      "step": 3606
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.935934287593446e-05,
+      "loss": 0.8777,
+      "step": 3607
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.935889651406677e-05,
+      "loss": 1.017,
+      "step": 3608
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9358450001906926e-05,
+      "loss": 0.9225,
+      "step": 3609
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9358003339462103e-05,
+      "loss": 0.9355,
+      "step": 3610
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9357556526739468e-05,
+      "loss": 0.8787,
+      "step": 3611
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.935710956374621e-05,
+      "loss": 0.9649,
+      "step": 3612
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.935666245048949e-05,
+      "loss": 0.9854,
+      "step": 3613
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9356215186976496e-05,
+      "loss": 0.9837,
+      "step": 3614
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9355767773214414e-05,
+      "loss": 0.9434,
+      "step": 3615
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.935532020921042e-05,
+      "loss": 0.9308,
+      "step": 3616
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.935487249497171e-05,
+      "loss": 0.9595,
+      "step": 3617
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.935442463050547e-05,
+      "loss": 0.9476,
+      "step": 3618
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.935397661581889e-05,
+      "loss": 1.015,
+      "step": 3619
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.935352845091917e-05,
+      "loss": 0.7958,
+      "step": 3620
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.93530801358135e-05,
+      "loss": 1.0043,
+      "step": 3621
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9352631670509082e-05,
+      "loss": 0.8854,
+      "step": 3622
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9352183055013124e-05,
+      "loss": 0.9008,
+      "step": 3623
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.935173428933282e-05,
+      "loss": 1.003,
+      "step": 3624
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9351285373475388e-05,
+      "loss": 0.9993,
+      "step": 3625
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9350836307448023e-05,
+      "loss": 0.8348,
+      "step": 3626
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9350387091257952e-05,
+      "loss": 0.8289,
+      "step": 3627
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934993772491238e-05,
+      "loss": 0.851,
+      "step": 3628
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934948820841852e-05,
+      "loss": 0.9719,
+      "step": 3629
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9349038541783592e-05,
+      "loss": 0.9799,
+      "step": 3630
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9348588725014826e-05,
+      "loss": 0.9295,
+      "step": 3631
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9348138758119437e-05,
+      "loss": 0.7982,
+      "step": 3632
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9347688641104657e-05,
+      "loss": 1.01,
+      "step": 3633
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934723837397771e-05,
+      "loss": 0.9361,
+      "step": 3634
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9346787956745822e-05,
+      "loss": 1.0112,
+      "step": 3635
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9346337389416234e-05,
+      "loss": 0.8411,
+      "step": 3636
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9345886671996183e-05,
+      "loss": 0.8605,
+      "step": 3637
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9345435804492898e-05,
+      "loss": 0.8752,
+      "step": 3638
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9344984786913627e-05,
+      "loss": 0.7673,
+      "step": 3639
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934453361926561e-05,
+      "loss": 0.8124,
+      "step": 3640
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9344082301556093e-05,
+      "loss": 0.8699,
+      "step": 3641
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9343630833792322e-05,
+      "loss": 1.0366,
+      "step": 3642
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934317921598155e-05,
+      "loss": 0.9554,
+      "step": 3643
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9342727448131025e-05,
+      "loss": 0.848,
+      "step": 3644
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9342275530248006e-05,
+      "loss": 0.8101,
+      "step": 3645
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934182346233975e-05,
+      "loss": 0.8751,
+      "step": 3646
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934137124441351e-05,
+      "loss": 0.8345,
+      "step": 3647
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9340918876476557e-05,
+      "loss": 0.9512,
+      "step": 3648
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934046635853615e-05,
+      "loss": 1.085,
+      "step": 3649
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934001369059956e-05,
+      "loss": 1.0375,
+      "step": 3650
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9339560872674052e-05,
+      "loss": 0.8316,
+      "step": 3651
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.93391079047669e-05,
+      "loss": 0.9559,
+      "step": 3652
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9338654786885377e-05,
+      "loss": 0.997,
+      "step": 3653
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.933820151903676e-05,
+      "loss": 0.8653,
+      "step": 3654
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.933774810122833e-05,
+      "loss": 0.7565,
+      "step": 3655
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9337294533467363e-05,
+      "loss": 0.9707,
+      "step": 3656
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.933684081576115e-05,
+      "loss": 1.0132,
+      "step": 3657
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.933638694811697e-05,
+      "loss": 1.0112,
+      "step": 3658
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9335932930542115e-05,
+      "loss": 0.8208,
+      "step": 3659
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.933547876304388e-05,
+      "loss": 0.9015,
+      "step": 3660
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.933502444562955e-05,
+      "loss": 0.9593,
+      "step": 3661
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9334569978306423e-05,
+      "loss": 0.7883,
+      "step": 3662
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9334115361081803e-05,
+      "loss": 0.8902,
+      "step": 3663
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9333660593962984e-05,
+      "loss": 0.7286,
+      "step": 3664
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9333205676957273e-05,
+      "loss": 1.0113,
+      "step": 3665
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9332750610071972e-05,
+      "loss": 0.9522,
+      "step": 3666
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9332295393314397e-05,
+      "loss": 1.0097,
+      "step": 3667
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9331840026691844e-05,
+      "loss": 0.7527,
+      "step": 3668
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9331384510211636e-05,
+      "loss": 0.9295,
+      "step": 3669
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.933092884388109e-05,
+      "loss": 0.9449,
+      "step": 3670
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9330473027707515e-05,
+      "loss": 0.8476,
+      "step": 3671
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9330017061698235e-05,
+      "loss": 0.8272,
+      "step": 3672
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9329560945860573e-05,
+      "loss": 0.9159,
+      "step": 3673
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.932910468020185e-05,
+      "loss": 0.938,
+      "step": 3674
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.93286482647294e-05,
+      "loss": 0.924,
+      "step": 3675
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.932819169945055e-05,
+      "loss": 0.8299,
+      "step": 3676
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9327734984372622e-05,
+      "loss": 0.8397,
+      "step": 3677
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.932727811950297e-05,
+      "loss": 0.8397,
+      "step": 3678
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.932682110484891e-05,
+      "loss": 0.8868,
+      "step": 3679
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.932636394041779e-05,
+      "loss": 0.8596,
+      "step": 3680
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9325906626216957e-05,
+      "loss": 1.0129,
+      "step": 3681
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9325449162253746e-05,
+      "loss": 0.9252,
+      "step": 3682
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.932499154853551e-05,
+      "loss": 0.8948,
+      "step": 3683
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.932453378506959e-05,
+      "loss": 0.9297,
+      "step": 3684
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9324075871863347e-05,
+      "loss": 0.9698,
+      "step": 3685
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9323617808924124e-05,
+      "loss": 0.9204,
+      "step": 3686
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9323159596259288e-05,
+      "loss": 0.9184,
+      "step": 3687
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9322701233876188e-05,
+      "loss": 1.0088,
+      "step": 3688
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9322242721782186e-05,
+      "loss": 0.8582,
+      "step": 3689
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9321784059984652e-05,
+      "loss": 0.8749,
+      "step": 3690
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9321325248490945e-05,
+      "loss": 0.8087,
+      "step": 3691
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9320866287308433e-05,
+      "loss": 0.9462,
+      "step": 3692
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.932040717644449e-05,
+      "loss": 0.9835,
+      "step": 3693
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9319947915906487e-05,
+      "loss": 0.837,
+      "step": 3694
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9319488505701794e-05,
+      "loss": 0.9401,
+      "step": 3695
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.93190289458378e-05,
+      "loss": 0.9908,
+      "step": 3696
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9318569236321877e-05,
+      "loss": 0.7625,
+      "step": 3697
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9318109377161408e-05,
+      "loss": 0.8134,
+      "step": 3698
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.931764936836378e-05,
+      "loss": 0.8832,
+      "step": 3699
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.931718920993638e-05,
+      "loss": 0.8504,
+      "step": 3700
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.931672890188659e-05,
+      "loss": 0.8041,
+      "step": 3701
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9316268444221814e-05,
+      "loss": 1.017,
+      "step": 3702
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.931580783694944e-05,
+      "loss": 0.8502,
+      "step": 3703
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9315347080076865e-05,
+      "loss": 0.9008,
+      "step": 3704
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9314886173611487e-05,
+      "loss": 0.9,
+      "step": 3705
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.931442511756071e-05,
+      "loss": 0.9555,
+      "step": 3706
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9313963911931938e-05,
+      "loss": 0.9896,
+      "step": 3707
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9313502556732577e-05,
+      "loss": 0.8651,
+      "step": 3708
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9313041051970037e-05,
+      "loss": 0.8346,
+      "step": 3709
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9312579397651724e-05,
+      "loss": 0.9263,
+      "step": 3710
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.931211759378506e-05,
+      "loss": 0.9319,
+      "step": 3711
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.931165564037745e-05,
+      "loss": 0.8329,
+      "step": 3712
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.931119353743632e-05,
+      "loss": 1.0078,
+      "step": 3713
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9310731284969093e-05,
+      "loss": 0.8336,
+      "step": 3714
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9310268882983187e-05,
+      "loss": 0.8603,
+      "step": 3715
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9309806331486028e-05,
+      "loss": 0.8055,
+      "step": 3716
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9309343630485043e-05,
+      "loss": 1.0276,
+      "step": 3717
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.930888077998767e-05,
+      "loss": 0.8101,
+      "step": 3718
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9308417780001334e-05,
+      "loss": 0.8718,
+      "step": 3719
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9307954630533474e-05,
+      "loss": 0.8829,
+      "step": 3720
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.930749133159152e-05,
+      "loss": 1.0303,
+      "step": 3721
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.930702788318292e-05,
+      "loss": 0.902,
+      "step": 3722
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.930656428531512e-05,
+      "loss": 0.9645,
+      "step": 3723
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.930610053799556e-05,
+      "loss": 0.9773,
+      "step": 3724
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.930563664123168e-05,
+      "loss": 0.9174,
+      "step": 3725
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9305172595030938e-05,
+      "loss": 0.9188,
+      "step": 3726
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9304708399400785e-05,
+      "loss": 0.8168,
+      "step": 3727
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9304244054348674e-05,
+      "loss": 0.8141,
+      "step": 3728
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9303779559882065e-05,
+      "loss": 0.9667,
+      "step": 3729
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9303314916008413e-05,
+      "loss": 0.9882,
+      "step": 3730
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.930285012273518e-05,
+      "loss": 0.9329,
+      "step": 3731
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9302385180069832e-05,
+      "loss": 1.0638,
+      "step": 3732
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9301920088019836e-05,
+      "loss": 0.9765,
+      "step": 3733
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.930145484659266e-05,
+      "loss": 0.9861,
+      "step": 3734
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.930098945579577e-05,
+      "loss": 0.9178,
+      "step": 3735
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9300523915636645e-05,
+      "loss": 0.8809,
+      "step": 3736
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9300058226122764e-05,
+      "loss": 0.9108,
+      "step": 3737
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.92995923872616e-05,
+      "loss": 0.8518,
+      "step": 3738
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9299126399060634e-05,
+      "loss": 0.8427,
+      "step": 3739
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.929866026152735e-05,
+      "loss": 0.914,
+      "step": 3740
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9298193974669237e-05,
+      "loss": 0.8438,
+      "step": 3741
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9297727538493777e-05,
+      "loss": 0.9528,
+      "step": 3742
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9297260953008464e-05,
+      "loss": 0.9699,
+      "step": 3743
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.929679421822079e-05,
+      "loss": 0.8968,
+      "step": 3744
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9296327334138252e-05,
+      "loss": 0.9897,
+      "step": 3745
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9295860300768345e-05,
+      "loss": 1.0069,
+      "step": 3746
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.929539311811857e-05,
+      "loss": 0.9101,
+      "step": 3747
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.929492578619643e-05,
+      "loss": 0.9081,
+      "step": 3748
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.929445830500943e-05,
+      "loss": 0.7797,
+      "step": 3749
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9293990674565074e-05,
+      "loss": 0.8972,
+      "step": 3750
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9293522894870875e-05,
+      "loss": 0.8792,
+      "step": 3751
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9293054965934344e-05,
+      "loss": 0.9633,
+      "step": 3752
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.929258688776299e-05,
+      "loss": 0.7846,
+      "step": 3753
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9292118660364342e-05,
+      "loss": 0.8649,
+      "step": 3754
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.929165028374591e-05,
+      "loss": 0.8639,
+      "step": 3755
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9291181757915216e-05,
+      "loss": 0.9891,
+      "step": 3756
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9290713082879786e-05,
+      "loss": 0.8317,
+      "step": 3757
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9290244258647146e-05,
+      "loss": 0.9623,
+      "step": 3758
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9289775285224824e-05,
+      "loss": 0.9652,
+      "step": 3759
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9289306162620353e-05,
+      "loss": 0.7426,
+      "step": 3760
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9288836890841263e-05,
+      "loss": 0.8501,
+      "step": 3761
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9288367469895095e-05,
+      "loss": 0.802,
+      "step": 3762
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9287897899789382e-05,
+      "loss": 0.8621,
+      "step": 3763
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.928742818053167e-05,
+      "loss": 1.0793,
+      "step": 3764
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9286958312129495e-05,
+      "loss": 0.889,
+      "step": 3765
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.928648829459041e-05,
+      "loss": 0.8635,
+      "step": 3766
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.928601812792196e-05,
+      "loss": 0.8286,
+      "step": 3767
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9285547812131692e-05,
+      "loss": 0.965,
+      "step": 3768
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9285077347227164e-05,
+      "loss": 0.9243,
+      "step": 3769
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9284606733215925e-05,
+      "loss": 0.8901,
+      "step": 3770
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.928413597010554e-05,
+      "loss": 0.888,
+      "step": 3771
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9283665057903566e-05,
+      "loss": 1.0436,
+      "step": 3772
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.928319399661756e-05,
+      "loss": 0.9464,
+      "step": 3773
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9282722786255092e-05,
+      "loss": 0.8928,
+      "step": 3774
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.928225142682373e-05,
+      "loss": 0.8914,
+      "step": 3775
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.928177991833104e-05,
+      "loss": 0.7596,
+      "step": 3776
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9281308260784595e-05,
+      "loss": 0.7768,
+      "step": 3777
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.928083645419197e-05,
+      "loss": 0.9227,
+      "step": 3778
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.928036449856074e-05,
+      "loss": 1.0939,
+      "step": 3779
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9279892393898486e-05,
+      "loss": 0.8509,
+      "step": 3780
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.927942014021279e-05,
+      "loss": 0.8819,
+      "step": 3781
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9278947737511233e-05,
+      "loss": 1.0334,
+      "step": 3782
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9278475185801404e-05,
+      "loss": 1.0917,
+      "step": 3783
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9278002485090886e-05,
+      "loss": 0.8779,
+      "step": 3784
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.927752963538728e-05,
+      "loss": 0.8912,
+      "step": 3785
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9277056636698168e-05,
+      "loss": 0.9449,
+      "step": 3786
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9276583489031156e-05,
+      "loss": 0.9694,
+      "step": 3787
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9276110192393834e-05,
+      "loss": 0.9001,
+      "step": 3788
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9275636746793805e-05,
+      "loss": 1.0488,
+      "step": 3789
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9275163152238675e-05,
+      "loss": 0.8778,
+      "step": 3790
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9274689408736047e-05,
+      "loss": 0.8635,
+      "step": 3791
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9274215516293527e-05,
+      "loss": 0.9795,
+      "step": 3792
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.927374147491873e-05,
+      "loss": 1.0454,
+      "step": 3793
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9273267284619262e-05,
+      "loss": 0.798,
+      "step": 3794
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9272792945402743e-05,
+      "loss": 0.8843,
+      "step": 3795
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9272318457276792e-05,
+      "loss": 1.0488,
+      "step": 3796
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9271843820249022e-05,
+      "loss": 0.9246,
+      "step": 3797
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9271369034327062e-05,
+      "loss": 0.8077,
+      "step": 3798
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.927089409951853e-05,
+      "loss": 0.8836,
+      "step": 3799
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9270419015831056e-05,
+      "loss": 0.9165,
+      "step": 3800
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.926994378327227e-05,
+      "loss": 1.117,
+      "step": 3801
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.92694684018498e-05,
+      "loss": 0.8504,
+      "step": 3802
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9268992871571284e-05,
+      "loss": 0.9052,
+      "step": 3803
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.926851719244436e-05,
+      "loss": 0.8691,
+      "step": 3804
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9268041364476662e-05,
+      "loss": 0.866,
+      "step": 3805
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9267565387675832e-05,
+      "loss": 0.9363,
+      "step": 3806
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9267089262049517e-05,
+      "loss": 0.9548,
+      "step": 3807
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.926661298760536e-05,
+      "loss": 1.0199,
+      "step": 3808
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.926613656435101e-05,
+      "loss": 0.8854,
+      "step": 3809
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.926565999229412e-05,
+      "loss": 0.8461,
+      "step": 3810
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9265183271442336e-05,
+      "loss": 0.7749,
+      "step": 3811
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.926470640180332e-05,
+      "loss": 0.9204,
+      "step": 3812
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9264229383384734e-05,
+      "loss": 0.9587,
+      "step": 3813
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.926375221619423e-05,
+      "loss": 0.8817,
+      "step": 3814
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.926327490023947e-05,
+      "loss": 0.9842,
+      "step": 3815
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9262797435528126e-05,
+      "loss": 0.7619,
+      "step": 3816
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.926231982206786e-05,
+      "loss": 0.979,
+      "step": 3817
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9261842059866345e-05,
+      "loss": 0.9895,
+      "step": 3818
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.926136414893125e-05,
+      "loss": 0.9056,
+      "step": 3819
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9260886089270258e-05,
+      "loss": 0.9075,
+      "step": 3820
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9260407880891035e-05,
+      "loss": 0.9869,
+      "step": 3821
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9259929523801266e-05,
+      "loss": 0.994,
+      "step": 3822
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9259451018008632e-05,
+      "loss": 0.9074,
+      "step": 3823
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925897236352082e-05,
+      "loss": 0.8869,
+      "step": 3824
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925849356034551e-05,
+      "loss": 0.7927,
+      "step": 3825
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.92580146084904e-05,
+      "loss": 0.9454,
+      "step": 3826
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925753550796317e-05,
+      "loss": 0.8183,
+      "step": 3827
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9257056258771525e-05,
+      "loss": 0.8196,
+      "step": 3828
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925657686092315e-05,
+      "loss": 0.9536,
+      "step": 3829
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925609731442576e-05,
+      "loss": 0.9305,
+      "step": 3830
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925561761928704e-05,
+      "loss": 0.9767,
+      "step": 3831
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.92551377755147e-05,
+      "loss": 0.7963,
+      "step": 3832
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925465778311644e-05,
+      "loss": 0.7968,
+      "step": 3833
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925417764209998e-05,
+      "loss": 0.9625,
+      "step": 3834
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925369735247302e-05,
+      "loss": 0.8244,
+      "step": 3835
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9253216914243275e-05,
+      "loss": 0.9016,
+      "step": 3836
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925273632741846e-05,
+      "loss": 0.9797,
+      "step": 3837
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9252255592006298e-05,
+      "loss": 0.9163,
+      "step": 3838
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.92517747080145e-05,
+      "loss": 0.8973,
+      "step": 3839
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.92512936754508e-05,
+      "loss": 0.8846,
+      "step": 3840
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925081249432291e-05,
+      "loss": 0.9122,
+      "step": 3841
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9250331164638566e-05,
+      "loss": 0.921,
+      "step": 3842
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9249849686405496e-05,
+      "loss": 0.9011,
+      "step": 3843
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924936805963143e-05,
+      "loss": 0.9846,
+      "step": 3844
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.92488862843241e-05,
+      "loss": 0.8666,
+      "step": 3845
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9248404360491247e-05,
+      "loss": 0.951,
+      "step": 3846
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924792228814061e-05,
+      "loss": 0.8905,
+      "step": 3847
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924744006727993e-05,
+      "loss": 0.7914,
+      "step": 3848
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9246957697916947e-05,
+      "loss": 0.9159,
+      "step": 3849
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9246475180059416e-05,
+      "loss": 0.8185,
+      "step": 3850
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9245992513715074e-05,
+      "loss": 0.9017,
+      "step": 3851
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924550969889168e-05,
+      "loss": 0.982,
+      "step": 3852
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924502673559699e-05,
+      "loss": 0.7339,
+      "step": 3853
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924454362383875e-05,
+      "loss": 0.7464,
+      "step": 3854
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9244060363624727e-05,
+      "loss": 0.8338,
+      "step": 3855
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9243576954962676e-05,
+      "loss": 0.7353,
+      "step": 3856
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924309339786036e-05,
+      "loss": 0.9201,
+      "step": 3857
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924260969232555e-05,
+      "loss": 0.8798,
+      "step": 3858
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924212583836601e-05,
+      "loss": 0.9027,
+      "step": 3859
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9241641835989506e-05,
+      "loss": 0.9761,
+      "step": 3860
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9241157685203817e-05,
+      "loss": 0.879,
+      "step": 3861
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924067338601672e-05,
+      "loss": 1.0223,
+      "step": 3862
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924018893843598e-05,
+      "loss": 0.8283,
+      "step": 3863
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.923970434246939e-05,
+      "loss": 0.9542,
+      "step": 3864
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9239219598124722e-05,
+      "loss": 0.7799,
+      "step": 3865
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9238734705409766e-05,
+      "loss": 0.9174,
+      "step": 3866
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9238249664332307e-05,
+      "loss": 0.9544,
+      "step": 3867
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9237764474900137e-05,
+      "loss": 0.934,
+      "step": 3868
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9237279137121043e-05,
+      "loss": 0.9301,
+      "step": 3869
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.923679365100282e-05,
+      "loss": 0.9498,
+      "step": 3870
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9236308016553266e-05,
+      "loss": 0.9686,
+      "step": 3871
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9235822233780182e-05,
+      "loss": 0.7488,
+      "step": 3872
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.923533630269136e-05,
+      "loss": 0.9088,
+      "step": 3873
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9234850223294613e-05,
+      "loss": 0.8527,
+      "step": 3874
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9234363995597748e-05,
+      "loss": 0.7773,
+      "step": 3875
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9233877619608564e-05,
+      "loss": 0.9258,
+      "step": 3876
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9233391095334876e-05,
+      "loss": 0.8623,
+      "step": 3877
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9232904422784496e-05,
+      "loss": 0.9085,
+      "step": 3878
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.923241760196524e-05,
+      "loss": 1.1125,
+      "step": 3879
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.923193063288493e-05,
+      "loss": 0.7624,
+      "step": 3880
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9231443515551382e-05,
+      "loss": 0.8271,
+      "step": 3881
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9230956249972415e-05,
+      "loss": 0.9443,
+      "step": 3882
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.923046883615586e-05,
+      "loss": 0.9483,
+      "step": 3883
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.922998127410954e-05,
+      "loss": 1.0364,
+      "step": 3884
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.922949356384129e-05,
+      "loss": 0.8734,
+      "step": 3885
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9229005705358937e-05,
+      "loss": 0.8622,
+      "step": 3886
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9228517698670316e-05,
+      "loss": 0.9567,
+      "step": 3887
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9228029543783265e-05,
+      "loss": 0.926,
+      "step": 3888
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9227541240705622e-05,
+      "loss": 1.0074,
+      "step": 3889
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9227052789445233e-05,
+      "loss": 0.9537,
+      "step": 3890
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9226564190009935e-05,
+      "loss": 0.8325,
+      "step": 3891
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9226075442407582e-05,
+      "loss": 0.7916,
+      "step": 3892
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9225586546646014e-05,
+      "loss": 1.0022,
+      "step": 3893
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9225097502733087e-05,
+      "loss": 1.0288,
+      "step": 3894
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9224608310676653e-05,
+      "loss": 0.8481,
+      "step": 3895
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9224118970484568e-05,
+      "loss": 0.7981,
+      "step": 3896
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9223629482164695e-05,
+      "loss": 0.8778,
+      "step": 3897
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.922313984572489e-05,
+      "loss": 0.9819,
+      "step": 3898
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9222650061173012e-05,
+      "loss": 0.837,
+      "step": 3899
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9222160128516932e-05,
+      "loss": 0.7859,
+      "step": 3900
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9221670047764517e-05,
+      "loss": 1.0011,
+      "step": 3901
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9221179818923638e-05,
+      "loss": 0.9281,
+      "step": 3902
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9220689442002165e-05,
+      "loss": 0.8917,
+      "step": 3903
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9220198917007976e-05,
+      "loss": 0.9401,
+      "step": 3904
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.921970824394894e-05,
+      "loss": 0.9771,
+      "step": 3905
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.921921742283295e-05,
+      "loss": 0.9518,
+      "step": 3906
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9218726453667872e-05,
+      "loss": 0.9664,
+      "step": 3907
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9218235336461606e-05,
+      "loss": 0.8577,
+      "step": 3908
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9217744071222028e-05,
+      "loss": 0.9206,
+      "step": 3909
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.921725265795703e-05,
+      "loss": 0.9183,
+      "step": 3910
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9216761096674505e-05,
+      "loss": 0.9481,
+      "step": 3911
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.921626938738235e-05,
+      "loss": 0.763,
+      "step": 3912
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9215777530088452e-05,
+      "loss": 1.0077,
+      "step": 3913
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9215285524800717e-05,
+      "loss": 0.8583,
+      "step": 3914
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9214793371527043e-05,
+      "loss": 0.8622,
+      "step": 3915
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9214301070275335e-05,
+      "loss": 0.8146,
+      "step": 3916
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.92138086210535e-05,
+      "loss": 0.8405,
+      "step": 3917
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.921331602386944e-05,
+      "loss": 1.0978,
+      "step": 3918
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.921282327873107e-05,
+      "loss": 0.849,
+      "step": 3919
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9212330385646306e-05,
+      "loss": 1.0103,
+      "step": 3920
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.921183734462306e-05,
+      "loss": 0.9161,
+      "step": 3921
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9211344155669244e-05,
+      "loss": 0.9068,
+      "step": 3922
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9210850818792787e-05,
+      "loss": 0.816,
+      "step": 3923
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.921035733400161e-05,
+      "loss": 0.8842,
+      "step": 3924
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.920986370130363e-05,
+      "loss": 0.8578,
+      "step": 3925
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9209369920706783e-05,
+      "loss": 0.9367,
+      "step": 3926
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9208875992218995e-05,
+      "loss": 0.8333,
+      "step": 3927
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9208381915848196e-05,
+      "loss": 0.983,
+      "step": 3928
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9207887691602324e-05,
+      "loss": 0.9009,
+      "step": 3929
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9207393319489314e-05,
+      "loss": 0.9197,
+      "step": 3930
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9206898799517105e-05,
+      "loss": 0.9335,
+      "step": 3931
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9206404131693634e-05,
+      "loss": 0.8591,
+      "step": 3932
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9205909316026854e-05,
+      "loss": 0.9103,
+      "step": 3933
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9205414352524703e-05,
+      "loss": 0.8373,
+      "step": 3934
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9204919241195134e-05,
+      "loss": 0.9766,
+      "step": 3935
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9204423982046097e-05,
+      "loss": 0.9635,
+      "step": 3936
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9203928575085543e-05,
+      "loss": 0.8307,
+      "step": 3937
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.920343302032143e-05,
+      "loss": 0.8445,
+      "step": 3938
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9202937317761713e-05,
+      "loss": 0.8995,
+      "step": 3939
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.920244146741436e-05,
+      "loss": 0.775,
+      "step": 3940
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9201945469287325e-05,
+      "loss": 0.8917,
+      "step": 3941
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9201449323388573e-05,
+      "loss": 1.0437,
+      "step": 3942
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9200953029726082e-05,
+      "loss": 0.8795,
+      "step": 3943
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.920045658830781e-05,
+      "loss": 0.8645,
+      "step": 3944
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9199959999141735e-05,
+      "loss": 0.8993,
+      "step": 3945
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.919946326223583e-05,
+      "loss": 0.8981,
+      "step": 3946
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9198966377598073e-05,
+      "loss": 0.8084,
+      "step": 3947
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9198469345236444e-05,
+      "loss": 0.8764,
+      "step": 3948
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9197972165158924e-05,
+      "loss": 0.8956,
+      "step": 3949
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9197474837373495e-05,
+      "loss": 0.9142,
+      "step": 3950
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.919697736188815e-05,
+      "loss": 0.9706,
+      "step": 3951
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9196479738710865e-05,
+      "loss": 0.8576,
+      "step": 3952
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9195981967849643e-05,
+      "loss": 0.9356,
+      "step": 3953
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9195484049312475e-05,
+      "loss": 0.8239,
+      "step": 3954
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9194985983107354e-05,
+      "loss": 0.8804,
+      "step": 3955
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9194487769242283e-05,
+      "loss": 1.0183,
+      "step": 3956
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9193989407725255e-05,
+      "loss": 0.8831,
+      "step": 3957
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.919349089856428e-05,
+      "loss": 0.8867,
+      "step": 3958
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9192992241767363e-05,
+      "loss": 0.8436,
+      "step": 3959
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9192493437342508e-05,
+      "loss": 0.877,
+      "step": 3960
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9191994485297727e-05,
+      "loss": 0.7856,
+      "step": 3961
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9191495385641037e-05,
+      "loss": 0.8852,
+      "step": 3962
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9190996138380446e-05,
+      "loss": 0.7977,
+      "step": 3963
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.919049674352397e-05,
+      "loss": 0.916,
+      "step": 3964
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9189997201079638e-05,
+      "loss": 0.9663,
+      "step": 3965
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9189497511055464e-05,
+      "loss": 0.8705,
+      "step": 3966
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9188997673459475e-05,
+      "loss": 0.9974,
+      "step": 3967
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9188497688299697e-05,
+      "loss": 0.9322,
+      "step": 3968
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9187997555584165e-05,
+      "loss": 0.8381,
+      "step": 3969
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.91874972753209e-05,
+      "loss": 0.7209,
+      "step": 3970
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9186996847517945e-05,
+      "loss": 0.8642,
+      "step": 3971
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.918649627218333e-05,
+      "loss": 0.9859,
+      "step": 3972
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9185995549325097e-05,
+      "loss": 0.9261,
+      "step": 3973
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9185494678951285e-05,
+      "loss": 0.9047,
+      "step": 3974
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.918499366106994e-05,
+      "loss": 0.9337,
+      "step": 3975
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.918449249568911e-05,
+      "loss": 0.8591,
+      "step": 3976
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9183991182816832e-05,
+      "loss": 0.9208,
+      "step": 3977
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9183489722461167e-05,
+      "loss": 0.9725,
+      "step": 3978
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9182988114630164e-05,
+      "loss": 1.0152,
+      "step": 3979
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.918248635933188e-05,
+      "loss": 0.7608,
+      "step": 3980
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.918198445657437e-05,
+      "loss": 0.9843,
+      "step": 3981
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.91814824063657e-05,
+      "loss": 0.9821,
+      "step": 3982
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9180980208713923e-05,
+      "loss": 0.9776,
+      "step": 3983
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.918047786362711e-05,
+      "loss": 0.8651,
+      "step": 3984
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9179975371113324e-05,
+      "loss": 0.7516,
+      "step": 3985
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9179472731180638e-05,
+      "loss": 0.9379,
+      "step": 3986
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9178969943837123e-05,
+      "loss": 1.0444,
+      "step": 3987
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.917846700909085e-05,
+      "loss": 0.8017,
+      "step": 3988
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9177963926949903e-05,
+      "loss": 0.9642,
+      "step": 3989
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9177460697422356e-05,
+      "loss": 0.854,
+      "step": 3990
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9176957320516287e-05,
+      "loss": 0.7771,
+      "step": 3991
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.917645379623978e-05,
+      "loss": 0.814,
+      "step": 3992
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9175950124600926e-05,
+      "loss": 1.1683,
+      "step": 3993
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9175446305607816e-05,
+      "loss": 0.9149,
+      "step": 3994
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.917494233926853e-05,
+      "loss": 1.0465,
+      "step": 3995
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.917443822559117e-05,
+      "loss": 0.8302,
+      "step": 3996
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9173933964583824e-05,
+      "loss": 0.8922,
+      "step": 3997
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9173429556254598e-05,
+      "loss": 0.9835,
+      "step": 3998
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9172925000611587e-05,
+      "loss": 0.923,
+      "step": 3999
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9172420297662896e-05,
+      "loss": 0.9867,
+      "step": 4000
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.917191544741663e-05,
+      "loss": 0.9089,
+      "step": 4001
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.917141044988089e-05,
+      "loss": 0.9862,
+      "step": 4002
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9170905305063795e-05,
+      "loss": 0.868,
+      "step": 4003
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.917040001297345e-05,
+      "loss": 0.9124,
+      "step": 4004
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9169894573617974e-05,
+      "loss": 0.9349,
+      "step": 4005
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.916938898700548e-05,
+      "loss": 0.8896,
+      "step": 4006
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.916888325314409e-05,
+      "loss": 0.9228,
+      "step": 4007
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9168377372041924e-05,
+      "loss": 0.8805,
+      "step": 4008
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9167871343707105e-05,
+      "loss": 0.8756,
+      "step": 4009
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9167365168147763e-05,
+      "loss": 0.9511,
+      "step": 4010
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.916685884537202e-05,
+      "loss": 0.9786,
+      "step": 4011
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9166352375388013e-05,
+      "loss": 0.7354,
+      "step": 4012
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9165845758203872e-05,
+      "loss": 0.9383,
+      "step": 4013
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9165338993827736e-05,
+      "loss": 0.9164,
+      "step": 4014
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9164832082267737e-05,
+      "loss": 0.8653,
+      "step": 4015
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.916432502353202e-05,
+      "loss": 0.889,
+      "step": 4016
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9163817817628728e-05,
+      "loss": 0.9612,
+      "step": 4017
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9163310464566e-05,
+      "loss": 0.8991,
+      "step": 4018
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9162802964351995e-05,
+      "loss": 0.9242,
+      "step": 4019
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9162295316994854e-05,
+      "loss": 0.8851,
+      "step": 4020
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9161787522502727e-05,
+      "loss": 1.0381,
+      "step": 4021
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.916127958088378e-05,
+      "loss": 0.8394,
+      "step": 4022
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9160771492146158e-05,
+      "loss": 0.9218,
+      "step": 4023
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9160263256298023e-05,
+      "loss": 0.8723,
+      "step": 4024
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9159754873347544e-05,
+      "loss": 0.9101,
+      "step": 4025
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9159246343302874e-05,
+      "loss": 0.8135,
+      "step": 4026
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.915873766617219e-05,
+      "loss": 0.8914,
+      "step": 4027
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.915822884196365e-05,
+      "loss": 0.8958,
+      "step": 4028
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9157719870685438e-05,
+      "loss": 0.8514,
+      "step": 4029
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9157210752345713e-05,
+      "loss": 0.7986,
+      "step": 4030
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9156701486952663e-05,
+      "loss": 0.8675,
+      "step": 4031
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.915619207451446e-05,
+      "loss": 0.8435,
+      "step": 4032
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9155682515039286e-05,
+      "loss": 0.8984,
+      "step": 4033
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.915517280853532e-05,
+      "loss": 0.8321,
+      "step": 4034
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9154662955010753e-05,
+      "loss": 0.9344,
+      "step": 4035
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.915415295447377e-05,
+      "loss": 1.0233,
+      "step": 4036
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.915364280693256e-05,
+      "loss": 0.7254,
+      "step": 4037
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.915313251239532e-05,
+      "loss": 0.9922,
+      "step": 4038
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.915262207087024e-05,
+      "loss": 0.8838,
+      "step": 4039
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.915211148236552e-05,
+      "loss": 0.9037,
+      "step": 4040
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9151600746889355e-05,
+      "loss": 0.8817,
+      "step": 4041
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.915108986444995e-05,
+      "loss": 0.9266,
+      "step": 4042
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9150578835055507e-05,
+      "loss": 0.9215,
+      "step": 4043
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9150067658714238e-05,
+      "loss": 0.7949,
+      "step": 4044
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9149556335434348e-05,
+      "loss": 0.9255,
+      "step": 4045
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9149044865224047e-05,
+      "loss": 0.906,
+      "step": 4046
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.914853324809155e-05,
+      "loss": 0.9491,
+      "step": 4047
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9148021484045073e-05,
+      "loss": 0.8408,
+      "step": 4048
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9147509573092833e-05,
+      "loss": 0.9399,
+      "step": 4049
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9146997515243054e-05,
+      "loss": 0.9505,
+      "step": 4050
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9146485310503955e-05,
+      "loss": 0.8975,
+      "step": 4051
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9145972958883763e-05,
+      "loss": 0.9609,
+      "step": 4052
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9145460460390707e-05,
+      "loss": 0.8302,
+      "step": 4053
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9144947815033014e-05,
+      "loss": 0.9119,
+      "step": 4054
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9144435022818917e-05,
+      "loss": 0.7181,
+      "step": 4055
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9143922083756656e-05,
+      "loss": 0.7271,
+      "step": 4056
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9143408997854464e-05,
+      "loss": 0.8948,
+      "step": 4057
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.914289576512058e-05,
+      "loss": 1.0881,
+      "step": 4058
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9142382385563244e-05,
+      "loss": 1.0048,
+      "step": 4059
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9141868859190706e-05,
+      "loss": 0.8176,
+      "step": 4060
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9141355186011206e-05,
+      "loss": 0.8625,
+      "step": 4061
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9140841366033003e-05,
+      "loss": 0.9556,
+      "step": 4062
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.914032739926434e-05,
+      "loss": 0.9615,
+      "step": 4063
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9139813285713468e-05,
+      "loss": 0.801,
+      "step": 4064
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.913929902538865e-05,
+      "loss": 0.7698,
+      "step": 4065
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.913878461829814e-05,
+      "loss": 0.9207,
+      "step": 4066
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9138270064450202e-05,
+      "loss": 0.874,
+      "step": 4067
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9137755363853098e-05,
+      "loss": 0.9111,
+      "step": 4068
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9137240516515094e-05,
+      "loss": 0.9096,
+      "step": 4069
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9136725522444458e-05,
+      "loss": 0.9985,
+      "step": 4070
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9136210381649457e-05,
+      "loss": 0.862,
+      "step": 4071
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9135695094138364e-05,
+      "loss": 0.9775,
+      "step": 4072
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9135179659919458e-05,
+      "loss": 0.8712,
+      "step": 4073
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9134664079001015e-05,
+      "loss": 0.9552,
+      "step": 4074
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9134148351391308e-05,
+      "loss": 0.8674,
+      "step": 4075
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.913363247709863e-05,
+      "loss": 0.8564,
+      "step": 4076
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9133116456131256e-05,
+      "loss": 0.9053,
+      "step": 4077
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9132600288497477e-05,
+      "loss": 0.9796,
+      "step": 4078
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.913208397420558e-05,
+      "loss": 0.9698,
+      "step": 4079
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.913156751326386e-05,
+      "loss": 0.8223,
+      "step": 4080
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9131050905680604e-05,
+      "loss": 0.8564,
+      "step": 4081
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9130534151464116e-05,
+      "loss": 0.9695,
+      "step": 4082
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.913001725062269e-05,
+      "loss": 0.8824,
+      "step": 4083
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9129500203164627e-05,
+      "loss": 0.8705,
+      "step": 4084
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.912898300909823e-05,
+      "loss": 0.9417,
+      "step": 4085
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9128465668431808e-05,
+      "loss": 0.8231,
+      "step": 4086
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9127948181173664e-05,
+      "loss": 0.8226,
+      "step": 4087
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.912743054733211e-05,
+      "loss": 0.9256,
+      "step": 4088
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.912691276691546e-05,
+      "loss": 0.8754,
+      "step": 4089
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9126394839932027e-05,
+      "loss": 0.8604,
+      "step": 4090
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.912587676639013e-05,
+      "loss": 0.9556,
+      "step": 4091
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9125358546298084e-05,
+      "loss": 0.8954,
+      "step": 4092
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9124840179664216e-05,
+      "loss": 0.8049,
+      "step": 4093
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9124321666496846e-05,
+      "loss": 0.892,
+      "step": 4094
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.912380300680431e-05,
+      "loss": 0.8794,
+      "step": 4095
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.912328420059493e-05,
+      "loss": 0.8554,
+      "step": 4096
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.912276524787703e-05,
+      "loss": 0.9328,
+      "step": 4097
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.912224614865896e-05,
+      "loss": 0.9138,
+      "step": 4098
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9121726902949043e-05,
+      "loss": 0.81,
+      "step": 4099
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9121207510755624e-05,
+      "loss": 0.8592,
+      "step": 4100
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.912068797208704e-05,
+      "loss": 1.0531,
+      "step": 4101
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9120168286951638e-05,
+      "loss": 1.03,
+      "step": 4102
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.911964845535776e-05,
+      "loss": 0.9268,
+      "step": 4103
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9119128477313757e-05,
+      "loss": 0.9037,
+      "step": 4104
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9118608352827978e-05,
+      "loss": 1.226,
+      "step": 4105
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9118088081908773e-05,
+      "loss": 0.905,
+      "step": 4106
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.91175676645645e-05,
+      "loss": 0.9666,
+      "step": 4107
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9117047100803513e-05,
+      "loss": 0.956,
+      "step": 4108
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9116526390634177e-05,
+      "loss": 1.0082,
+      "step": 4109
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9116005534064853e-05,
+      "loss": 0.8479,
+      "step": 4110
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9115484531103895e-05,
+      "loss": 0.9599,
+      "step": 4111
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9114963381759685e-05,
+      "loss": 0.989,
+      "step": 4112
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9114442086040583e-05,
+      "loss": 0.9638,
+      "step": 4113
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9113920643954963e-05,
+      "loss": 0.8611,
+      "step": 4114
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9113399055511195e-05,
+      "loss": 0.9827,
+      "step": 4115
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9112877320717657e-05,
+      "loss": 0.8919,
+      "step": 4116
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9112355439582734e-05,
+      "loss": 0.7638,
+      "step": 4117
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9111833412114796e-05,
+      "loss": 0.7889,
+      "step": 4118
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9111311238322235e-05,
+      "loss": 0.8996,
+      "step": 4119
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.911078891821343e-05,
+      "loss": 0.952,
+      "step": 4120
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9110266451796772e-05,
+      "loss": 0.6413,
+      "step": 4121
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.910974383908065e-05,
+      "loss": 0.9691,
+      "step": 4122
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9109221080073457e-05,
+      "loss": 0.7614,
+      "step": 4123
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.910869817478359e-05,
+      "loss": 1.0083,
+      "step": 4124
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.910817512321944e-05,
+      "loss": 0.9196,
+      "step": 4125
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9107651925389413e-05,
+      "loss": 0.7736,
+      "step": 4126
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.910712858130191e-05,
+      "loss": 1.0751,
+      "step": 4127
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9106605090965333e-05,
+      "loss": 1.0884,
+      "step": 4128
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.910608145438809e-05,
+      "loss": 0.7654,
+      "step": 4129
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9105557671578588e-05,
+      "loss": 0.9002,
+      "step": 4130
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9105033742545244e-05,
+      "loss": 0.8735,
+      "step": 4131
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.910450966729646e-05,
+      "loss": 0.8987,
+      "step": 4132
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.910398544584066e-05,
+      "loss": 0.9405,
+      "step": 4133
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9103461078186268e-05,
+      "loss": 0.9483,
+      "step": 4134
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9102936564341696e-05,
+      "loss": 1.0135,
+      "step": 4135
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.910241190431537e-05,
+      "loss": 0.8637,
+      "step": 4136
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.910188709811571e-05,
+      "loss": 0.7872,
+      "step": 4137
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9101362145751154e-05,
+      "loss": 0.8363,
+      "step": 4138
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9100837047230123e-05,
+      "loss": 0.8953,
+      "step": 4139
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9100311802561055e-05,
+      "loss": 0.7253,
+      "step": 4140
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.909978641175238e-05,
+      "loss": 0.9125,
+      "step": 4141
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.909926087481254e-05,
+      "loss": 0.9794,
+      "step": 4142
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9098735191749977e-05,
+      "loss": 0.9194,
+      "step": 4143
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.909820936257312e-05,
+      "loss": 1.0241,
+      "step": 4144
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9097683387290428e-05,
+      "loss": 0.7469,
+      "step": 4145
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9097157265910337e-05,
+      "loss": 0.8382,
+      "step": 4146
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9096630998441298e-05,
+      "loss": 0.8803,
+      "step": 4147
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9096104584891767e-05,
+      "loss": 0.9448,
+      "step": 4148
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9095578025270195e-05,
+      "loss": 0.9303,
+      "step": 4149
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9095051319585035e-05,
+      "loss": 0.8687,
+      "step": 4150
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9094524467844747e-05,
+      "loss": 0.9522,
+      "step": 4151
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9093997470057796e-05,
+      "loss": 0.8481,
+      "step": 4152
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.909347032623264e-05,
+      "loss": 0.9363,
+      "step": 4153
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9092943036377743e-05,
+      "loss": 0.8417,
+      "step": 4154
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9092415600501577e-05,
+      "loss": 0.8202,
+      "step": 4155
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9091888018612607e-05,
+      "loss": 0.9605,
+      "step": 4156
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.909136029071931e-05,
+      "loss": 1.0179,
+      "step": 4157
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.909083241683016e-05,
+      "loss": 1.0191,
+      "step": 4158
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9090304396953632e-05,
+      "loss": 0.8903,
+      "step": 4159
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9089776231098204e-05,
+      "loss": 0.9925,
+      "step": 4160
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.908924791927236e-05,
+      "loss": 0.7333,
+      "step": 4161
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9088719461484588e-05,
+      "loss": 1.0672,
+      "step": 4162
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9088190857743368e-05,
+      "loss": 0.8978,
+      "step": 4163
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9087662108057192e-05,
+      "loss": 0.8208,
+      "step": 4164
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.908713321243455e-05,
+      "loss": 0.8974,
+      "step": 4165
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9086604170883932e-05,
+      "loss": 0.7417,
+      "step": 4166
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9086074983413843e-05,
+      "loss": 0.9756,
+      "step": 4167
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.908554565003277e-05,
+      "loss": 0.9495,
+      "step": 4168
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9085016170749223e-05,
+      "loss": 1.0515,
+      "step": 4169
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9084486545571694e-05,
+      "loss": 0.9118,
+      "step": 4170
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.90839567745087e-05,
+      "loss": 0.8188,
+      "step": 4171
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.908342685756874e-05,
+      "loss": 0.9505,
+      "step": 4172
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9082896794760327e-05,
+      "loss": 0.9477,
+      "step": 4173
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9082366586091975e-05,
+      "loss": 0.8404,
+      "step": 4174
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.90818362315722e-05,
+      "loss": 0.8558,
+      "step": 4175
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.908130573120951e-05,
+      "loss": 0.7742,
+      "step": 4176
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.908077508501243e-05,
+      "loss": 0.9646,
+      "step": 4177
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9080244292989484e-05,
+      "loss": 0.9546,
+      "step": 4178
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.907971335514919e-05,
+      "loss": 0.8264,
+      "step": 4179
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9079182271500073e-05,
+      "loss": 0.89,
+      "step": 4180
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9078651042050673e-05,
+      "loss": 0.9663,
+      "step": 4181
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.907811966680951e-05,
+      "loss": 0.8578,
+      "step": 4182
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9077588145785123e-05,
+      "loss": 0.8874,
+      "step": 4183
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9077056478986043e-05,
+      "loss": 1.0323,
+      "step": 4184
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9076524666420808e-05,
+      "loss": 0.8412,
+      "step": 4185
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9075992708097965e-05,
+      "loss": 0.7743,
+      "step": 4186
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9075460604026047e-05,
+      "loss": 0.8677,
+      "step": 4187
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.907492835421361e-05,
+      "loss": 0.8213,
+      "step": 4188
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.907439595866919e-05,
+      "loss": 0.9234,
+      "step": 4189
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9073863417401342e-05,
+      "loss": 0.894,
+      "step": 4190
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9073330730418623e-05,
+      "loss": 0.8196,
+      "step": 4191
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9072797897729577e-05,
+      "loss": 0.8194,
+      "step": 4192
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9072264919342766e-05,
+      "loss": 0.7886,
+      "step": 4193
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.907173179526675e-05,
+      "loss": 0.9937,
+      "step": 4194
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.907119852551009e-05,
+      "loss": 0.9109,
+      "step": 4195
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9070665110081345e-05,
+      "loss": 0.8134,
+      "step": 4196
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9070131548989087e-05,
+      "loss": 0.9968,
+      "step": 4197
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.906959784224188e-05,
+      "loss": 0.9112,
+      "step": 4198
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9069063989848298e-05,
+      "loss": 0.8311,
+      "step": 4199
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9068529991816914e-05,
+      "loss": 0.9024,
+      "step": 4200
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.90679958481563e-05,
+      "loss": 0.8779,
+      "step": 4201
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9067461558875036e-05,
+      "loss": 0.9105,
+      "step": 4202
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.90669271239817e-05,
+      "loss": 0.8026,
+      "step": 4203
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.906639254348488e-05,
+      "loss": 1.0397,
+      "step": 4204
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9065857817393153e-05,
+      "loss": 0.7619,
+      "step": 4205
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9065322945715107e-05,
+      "loss": 0.8191,
+      "step": 4206
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9064787928459338e-05,
+      "loss": 0.9489,
+      "step": 4207
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9064252765634435e-05,
+      "loss": 0.9166,
+      "step": 4208
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.906371745724899e-05,
+      "loss": 0.9466,
+      "step": 4209
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9063182003311595e-05,
+      "loss": 0.7636,
+      "step": 4210
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.906264640383086e-05,
+      "loss": 0.891,
+      "step": 4211
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9062110658815375e-05,
+      "loss": 0.8462,
+      "step": 4212
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9061574768273753e-05,
+      "loss": 0.9155,
+      "step": 4213
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9061038732214592e-05,
+      "loss": 0.8856,
+      "step": 4214
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9060502550646504e-05,
+      "loss": 0.798,
+      "step": 4215
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9059966223578098e-05,
+      "loss": 0.8919,
+      "step": 4216
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9059429751017987e-05,
+      "loss": 0.9267,
+      "step": 4217
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.905889313297479e-05,
+      "loss": 0.8468,
+      "step": 4218
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9058356369457117e-05,
+      "loss": 0.9619,
+      "step": 4219
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.905781946047359e-05,
+      "loss": 0.9053,
+      "step": 4220
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9057282406032835e-05,
+      "loss": 0.9413,
+      "step": 4221
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9056745206143472e-05,
+      "loss": 0.894,
+      "step": 4222
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9056207860814134e-05,
+      "loss": 0.8208,
+      "step": 4223
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9055670370053444e-05,
+      "loss": 0.9599,
+      "step": 4224
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.905513273387003e-05,
+      "loss": 0.9574,
+      "step": 4225
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9054594952272538e-05,
+      "loss": 0.9274,
+      "step": 4226
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9054057025269595e-05,
+      "loss": 0.9482,
+      "step": 4227
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9053518952869842e-05,
+      "loss": 0.9009,
+      "step": 4228
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9052980735081918e-05,
+      "loss": 0.894,
+      "step": 4229
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9052442371914466e-05,
+      "loss": 0.8526,
+      "step": 4230
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9051903863376134e-05,
+      "loss": 0.736,
+      "step": 4231
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.905136520947557e-05,
+      "loss": 0.9072,
+      "step": 4232
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9050826410221423e-05,
+      "loss": 0.9695,
+      "step": 4233
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.905028746562234e-05,
+      "loss": 0.8929,
+      "step": 4234
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9049748375686986e-05,
+      "loss": 0.8415,
+      "step": 4235
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9049209140424014e-05,
+      "loss": 0.7464,
+      "step": 4236
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.904866975984208e-05,
+      "loss": 0.7661,
+      "step": 4237
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.904813023394985e-05,
+      "loss": 0.9883,
+      "step": 4238
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9047590562755984e-05,
+      "loss": 0.9512,
+      "step": 4239
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9047050746269155e-05,
+      "loss": 0.9861,
+      "step": 4240
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.904651078449802e-05,
+      "loss": 0.9185,
+      "step": 4241
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9045970677451264e-05,
+      "loss": 0.9423,
+      "step": 4242
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9045430425137553e-05,
+      "loss": 0.9136,
+      "step": 4243
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9044890027565563e-05,
+      "loss": 0.9389,
+      "step": 4244
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9044349484743976e-05,
+      "loss": 0.9518,
+      "step": 4245
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9043808796681467e-05,
+      "loss": 0.7703,
+      "step": 4246
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.904326796338672e-05,
+      "loss": 0.9759,
+      "step": 4247
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9042726984868424e-05,
+      "loss": 0.9339,
+      "step": 4248
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.904218586113526e-05,
+      "loss": 0.723,
+      "step": 4249
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9041644592195924e-05,
+      "loss": 0.7831,
+      "step": 4250
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9041103178059107e-05,
+      "loss": 0.9673,
+      "step": 4251
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.90405616187335e-05,
+      "loss": 0.9637,
+      "step": 4252
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9040019914227803e-05,
+      "loss": 0.8938,
+      "step": 4253
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9039478064550713e-05,
+      "loss": 0.8391,
+      "step": 4254
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9038936069710934e-05,
+      "loss": 1.002,
+      "step": 4255
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9038393929717168e-05,
+      "loss": 0.9141,
+      "step": 4256
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.903785164457812e-05,
+      "loss": 0.7997,
+      "step": 4257
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.90373092143025e-05,
+      "loss": 0.9111,
+      "step": 4258
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.903676663889902e-05,
+      "loss": 0.936,
+      "step": 4259
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9036223918376386e-05,
+      "loss": 0.8913,
+      "step": 4260
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9035681052743325e-05,
+      "loss": 0.852,
+      "step": 4261
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9035138042008546e-05,
+      "loss": 0.944,
+      "step": 4262
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.903459488618077e-05,
+      "loss": 0.8972,
+      "step": 4263
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9034051585268725e-05,
+      "loss": 0.9871,
+      "step": 4264
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.903350813928113e-05,
+      "loss": 0.9849,
+      "step": 4265
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9032964548226714e-05,
+      "loss": 0.9675,
+      "step": 4266
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9032420812114206e-05,
+      "loss": 0.8749,
+      "step": 4267
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9031876930952338e-05,
+      "loss": 0.9694,
+      "step": 4268
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9031332904749843e-05,
+      "loss": 0.8786,
+      "step": 4269
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9030788733515463e-05,
+      "loss": 1.0346,
+      "step": 4270
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9030244417257927e-05,
+      "loss": 0.7464,
+      "step": 4271
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9029699955985985e-05,
+      "loss": 0.9073,
+      "step": 4272
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.902915534970837e-05,
+      "loss": 0.7718,
+      "step": 4273
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9028610598433843e-05,
+      "loss": 1.0285,
+      "step": 4274
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9028065702171136e-05,
+      "loss": 0.9689,
+      "step": 4275
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9027520660929013e-05,
+      "loss": 0.9749,
+      "step": 4276
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9026975474716215e-05,
+      "loss": 0.9499,
+      "step": 4277
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9026430143541503e-05,
+      "loss": 0.9564,
+      "step": 4278
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9025884667413637e-05,
+      "loss": 0.8626,
+      "step": 4279
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.902533904634137e-05,
+      "loss": 0.7175,
+      "step": 4280
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9024793280333467e-05,
+      "loss": 0.9504,
+      "step": 4281
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9024247369398697e-05,
+      "loss": 0.9517,
+      "step": 4282
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.902370131354582e-05,
+      "loss": 0.8657,
+      "step": 4283
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9023155112783607e-05,
+      "loss": 0.8079,
+      "step": 4284
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.902260876712083e-05,
+      "loss": 0.9139,
+      "step": 4285
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.902206227656626e-05,
+      "loss": 0.8505,
+      "step": 4286
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9021515641128676e-05,
+      "loss": 0.7894,
+      "step": 4287
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.902096886081686e-05,
+      "loss": 0.9048,
+      "step": 4288
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9020421935639582e-05,
+      "loss": 0.8959,
+      "step": 4289
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.901987486560563e-05,
+      "loss": 0.8958,
+      "step": 4290
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9019327650723795e-05,
+      "loss": 0.8279,
+      "step": 4291
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.901878029100286e-05,
+      "loss": 0.9237,
+      "step": 4292
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.901823278645161e-05,
+      "loss": 0.785,
+      "step": 4293
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9017685137078847e-05,
+      "loss": 0.9623,
+      "step": 4294
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9017137342893356e-05,
+      "loss": 0.8505,
+      "step": 4295
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.901658940390394e-05,
+      "loss": 1.0222,
+      "step": 4296
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9016041320119397e-05,
+      "loss": 1.0014,
+      "step": 4297
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9015493091548526e-05,
+      "loss": 0.8424,
+      "step": 4298
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9014944718200137e-05,
+      "loss": 0.9123,
+      "step": 4299
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.901439620008303e-05,
+      "loss": 0.7714,
+      "step": 4300
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9013847537206014e-05,
+      "loss": 0.7938,
+      "step": 4301
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9013298729577905e-05,
+      "loss": 0.7164,
+      "step": 4302
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.901274977720751e-05,
+      "loss": 0.6638,
+      "step": 4303
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.901220068010365e-05,
+      "loss": 0.8858,
+      "step": 4304
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9011651438275137e-05,
+      "loss": 0.8844,
+      "step": 4305
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9011102051730796e-05,
+      "loss": 0.8746,
+      "step": 4306
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9010552520479448e-05,
+      "loss": 0.9985,
+      "step": 4307
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.901000284452992e-05,
+      "loss": 0.9455,
+      "step": 4308
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9009453023891028e-05,
+      "loss": 0.9426,
+      "step": 4309
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9008903058571615e-05,
+      "loss": 0.8159,
+      "step": 4310
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.900835294858051e-05,
+      "loss": 0.9804,
+      "step": 4311
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.900780269392654e-05,
+      "loss": 0.9786,
+      "step": 4312
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.900725229461855e-05,
+      "loss": 0.9042,
+      "step": 4313
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9006701750665373e-05,
+      "loss": 1.0027,
+      "step": 4314
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9006151062075853e-05,
+      "loss": 0.8421,
+      "step": 4315
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9005600228858832e-05,
+      "loss": 0.9791,
+      "step": 4316
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9005049251023156e-05,
+      "loss": 0.9649,
+      "step": 4317
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9004498128577672e-05,
+      "loss": 0.9797,
+      "step": 4318
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.900394686153123e-05,
+      "loss": 0.7613,
+      "step": 4319
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9003395449892685e-05,
+      "loss": 0.831,
+      "step": 4320
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.900284389367089e-05,
+      "loss": 0.8837,
+      "step": 4321
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.900229219287471e-05,
+      "loss": 0.9372,
+      "step": 4322
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.900174034751299e-05,
+      "loss": 0.7545,
+      "step": 4323
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9001188357594604e-05,
+      "loss": 0.7948,
+      "step": 4324
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.900063622312841e-05,
+      "loss": 0.8697,
+      "step": 4325
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9000083944123277e-05,
+      "loss": 0.79,
+      "step": 4326
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8999531520588074e-05,
+      "loss": 0.7452,
+      "step": 4327
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8998978952531672e-05,
+      "loss": 1.0288,
+      "step": 4328
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8998426239962945e-05,
+      "loss": 0.8213,
+      "step": 4329
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8997873382890767e-05,
+      "loss": 0.9552,
+      "step": 4330
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8997320381324018e-05,
+      "loss": 1.043,
+      "step": 4331
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8996767235271577e-05,
+      "loss": 0.8374,
+      "step": 4332
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.899621394474233e-05,
+      "loss": 0.9002,
+      "step": 4333
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.899566050974516e-05,
+      "loss": 0.8776,
+      "step": 4334
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.899510693028895e-05,
+      "loss": 0.8,
+      "step": 4335
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8994553206382597e-05,
+      "loss": 0.9108,
+      "step": 4336
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.899399933803499e-05,
+      "loss": 0.8293,
+      "step": 4337
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8993445325255027e-05,
+      "loss": 0.8031,
+      "step": 4338
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.89928911680516e-05,
+      "loss": 0.9359,
+      "step": 4339
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8992336866433606e-05,
+      "loss": 0.6689,
+      "step": 4340
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.899178242040995e-05,
+      "loss": 0.9248,
+      "step": 4341
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.899122782998954e-05,
+      "loss": 0.9893,
+      "step": 4342
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8990673095181276e-05,
+      "loss": 0.9484,
+      "step": 4343
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8990118215994068e-05,
+      "loss": 0.8284,
+      "step": 4344
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8989563192436826e-05,
+      "loss": 0.8756,
+      "step": 4345
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8989008024518462e-05,
+      "loss": 0.9098,
+      "step": 4346
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8988452712247896e-05,
+      "loss": 0.9817,
+      "step": 4347
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8987897255634042e-05,
+      "loss": 0.7945,
+      "step": 4348
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.898734165468582e-05,
+      "loss": 0.9402,
+      "step": 4349
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.898678590941215e-05,
+      "loss": 1.0819,
+      "step": 4350
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8986230019821963e-05,
+      "loss": 0.8166,
+      "step": 4351
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8985673985924185e-05,
+      "loss": 0.8114,
+      "step": 4352
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8985117807727737e-05,
+      "loss": 0.863,
+      "step": 4353
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8984561485241558e-05,
+      "loss": 0.8976,
+      "step": 4354
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.898400501847458e-05,
+      "loss": 0.832,
+      "step": 4355
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.898344840743574e-05,
+      "loss": 0.8955,
+      "step": 4356
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8982891652133976e-05,
+      "loss": 0.8998,
+      "step": 4357
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8982334752578226e-05,
+      "loss": 0.9899,
+      "step": 4358
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8981777708777437e-05,
+      "loss": 1.0139,
+      "step": 4359
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.898122052074055e-05,
+      "loss": 0.8874,
+      "step": 4360
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8980663188476518e-05,
+      "loss": 0.8913,
+      "step": 4361
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8980105711994288e-05,
+      "loss": 0.8756,
+      "step": 4362
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8979548091302814e-05,
+      "loss": 0.7717,
+      "step": 4363
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8978990326411046e-05,
+      "loss": 0.8272,
+      "step": 4364
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8978432417327948e-05,
+      "loss": 0.8023,
+      "step": 4365
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8977874364062474e-05,
+      "loss": 0.9674,
+      "step": 4366
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.897731616662359e-05,
+      "loss": 0.8795,
+      "step": 4367
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8976757825020255e-05,
+      "loss": 1.0029,
+      "step": 4368
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.897619933926144e-05,
+      "loss": 0.8064,
+      "step": 4369
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.897564070935611e-05,
+      "loss": 1.0378,
+      "step": 4370
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.897508193531324e-05,
+      "loss": 0.9579,
+      "step": 4371
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8974523017141798e-05,
+      "loss": 0.8087,
+      "step": 4372
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8973963954850762e-05,
+      "loss": 0.8887,
+      "step": 4373
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8973404748449108e-05,
+      "loss": 0.7258,
+      "step": 4374
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.897284539794582e-05,
+      "loss": 0.8874,
+      "step": 4375
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8972285903349885e-05,
+      "loss": 0.746,
+      "step": 4376
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8971726264670272e-05,
+      "loss": 0.8844,
+      "step": 4377
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8971166481915983e-05,
+      "loss": 0.7822,
+      "step": 4378
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8970606555096e-05,
+      "loss": 1.0076,
+      "step": 4379
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8970046484219312e-05,
+      "loss": 0.7929,
+      "step": 4380
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8969486269294922e-05,
+      "loss": 0.8871,
+      "step": 4381
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8968925910331823e-05,
+      "loss": 0.9804,
+      "step": 4382
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.896836540733901e-05,
+      "loss": 0.9803,
+      "step": 4383
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8967804760325487e-05,
+      "loss": 0.8792,
+      "step": 4384
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8967243969300257e-05,
+      "loss": 0.7471,
+      "step": 4385
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8966683034272328e-05,
+      "loss": 0.7479,
+      "step": 4386
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8966121955250702e-05,
+      "loss": 0.9076,
+      "step": 4387
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8965560732244395e-05,
+      "loss": 0.9139,
+      "step": 4388
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8964999365262416e-05,
+      "loss": 0.8853,
+      "step": 4389
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.896443785431378e-05,
+      "loss": 0.9335,
+      "step": 4390
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8963876199407508e-05,
+      "loss": 0.9778,
+      "step": 4391
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.896331440055261e-05,
+      "loss": 0.8664,
+      "step": 4392
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.896275245775812e-05,
+      "loss": 0.8188,
+      "step": 4393
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8962190371033057e-05,
+      "loss": 0.7836,
+      "step": 4394
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8961628140386446e-05,
+      "loss": 0.9413,
+      "step": 4395
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8961065765827317e-05,
+      "loss": 0.9874,
+      "step": 4396
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8960503247364697e-05,
+      "loss": 0.9447,
+      "step": 4397
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8959940585007626e-05,
+      "loss": 0.8748,
+      "step": 4398
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8959377778765135e-05,
+      "loss": 1.1176,
+      "step": 4399
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8958814828646268e-05,
+      "loss": 0.8529,
+      "step": 4400
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8958251734660055e-05,
+      "loss": 0.9728,
+      "step": 4401
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.895768849681555e-05,
+      "loss": 0.9974,
+      "step": 4402
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8957125115121786e-05,
+      "loss": 0.9637,
+      "step": 4403
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.895656158958782e-05,
+      "loss": 0.928,
+      "step": 4404
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.89559979202227e-05,
+      "loss": 0.9417,
+      "step": 4405
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8955434107035472e-05,
+      "loss": 0.8477,
+      "step": 4406
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8954870150035195e-05,
+      "loss": 0.798,
+      "step": 4407
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.895430604923093e-05,
+      "loss": 0.8562,
+      "step": 4408
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8953741804631725e-05,
+      "loss": 1.0095,
+      "step": 4409
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8953177416246648e-05,
+      "loss": 0.8942,
+      "step": 4410
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.895261288408476e-05,
+      "loss": 0.9156,
+      "step": 4411
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8952048208155123e-05,
+      "loss": 0.8853,
+      "step": 4412
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8951483388466816e-05,
+      "loss": 0.8545,
+      "step": 4413
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.89509184250289e-05,
+      "loss": 1.0176,
+      "step": 4414
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.895035331785045e-05,
+      "loss": 0.8296,
+      "step": 4415
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.894978806694054e-05,
+      "loss": 1.008,
+      "step": 4416
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.894922267230825e-05,
+      "loss": 0.8982,
+      "step": 4417
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8948657133962658e-05,
+      "loss": 0.8551,
+      "step": 4418
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8948091451912844e-05,
+      "loss": 0.959,
+      "step": 4419
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8947525626167896e-05,
+      "loss": 0.825,
+      "step": 4420
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8946959656736897e-05,
+      "loss": 0.947,
+      "step": 4421
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.894639354362894e-05,
+      "loss": 0.9999,
+      "step": 4422
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.894582728685311e-05,
+      "loss": 0.849,
+      "step": 4423
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8945260886418502e-05,
+      "loss": 0.8034,
+      "step": 4424
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.894469434233422e-05,
+      "loss": 0.9403,
+      "step": 4425
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8944127654609346e-05,
+      "loss": 0.9662,
+      "step": 4426
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8943560823252995e-05,
+      "loss": 0.8506,
+      "step": 4427
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8942993848274263e-05,
+      "loss": 0.8065,
+      "step": 4428
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8942426729682256e-05,
+      "loss": 0.9922,
+      "step": 4429
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8941859467486083e-05,
+      "loss": 0.9422,
+      "step": 4430
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.894129206169485e-05,
+      "loss": 0.9436,
+      "step": 4431
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8940724512317672e-05,
+      "loss": 0.8889,
+      "step": 4432
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.894015681936366e-05,
+      "loss": 0.9668,
+      "step": 4433
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.893958898284193e-05,
+      "loss": 0.9696,
+      "step": 4434
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8939021002761605e-05,
+      "loss": 0.9302,
+      "step": 4435
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8938452879131807e-05,
+      "loss": 1.0148,
+      "step": 4436
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8937884611961653e-05,
+      "loss": 0.7954,
+      "step": 4437
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8937316201260273e-05,
+      "loss": 1.0326,
+      "step": 4438
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8936747647036793e-05,
+      "loss": 0.8291,
+      "step": 4439
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8936178949300344e-05,
+      "loss": 0.8559,
+      "step": 4440
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.893561010806006e-05,
+      "loss": 0.9185,
+      "step": 4441
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8935041123325073e-05,
+      "loss": 0.961,
+      "step": 4442
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8934471995104525e-05,
+      "loss": 0.8086,
+      "step": 4443
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8933902723407547e-05,
+      "loss": 0.931,
+      "step": 4444
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.893333330824329e-05,
+      "loss": 0.9474,
+      "step": 4445
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8932763749620894e-05,
+      "loss": 1.0601,
+      "step": 4446
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8932194047549504e-05,
+      "loss": 0.9194,
+      "step": 4447
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8931624202038272e-05,
+      "loss": 0.8739,
+      "step": 4448
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8931054213096345e-05,
+      "loss": 0.9524,
+      "step": 4449
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.893048408073288e-05,
+      "loss": 0.803,
+      "step": 4450
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8929913804957028e-05,
+      "loss": 0.7694,
+      "step": 4451
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8929343385777957e-05,
+      "loss": 0.7742,
+      "step": 4452
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8928772823204814e-05,
+      "loss": 0.9298,
+      "step": 4453
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8928202117246773e-05,
+      "loss": 0.9667,
+      "step": 4454
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.892763126791299e-05,
+      "loss": 0.9469,
+      "step": 4455
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8927060275212637e-05,
+      "loss": 0.8305,
+      "step": 4456
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.892648913915488e-05,
+      "loss": 0.893,
+      "step": 4457
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8925917859748898e-05,
+      "loss": 0.981,
+      "step": 4458
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8925346437003856e-05,
+      "loss": 0.8377,
+      "step": 4459
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8924774870928934e-05,
+      "loss": 0.8861,
+      "step": 4460
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8924203161533312e-05,
+      "loss": 0.9594,
+      "step": 4461
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.892363130882617e-05,
+      "loss": 0.9118,
+      "step": 4462
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.892305931281669e-05,
+      "loss": 0.8468,
+      "step": 4463
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.892248717351406e-05,
+      "loss": 0.8207,
+      "step": 4464
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.892191489092747e-05,
+      "loss": 0.7773,
+      "step": 4465
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.89213424650661e-05,
+      "loss": 0.8876,
+      "step": 4466
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8920769895939154e-05,
+      "loss": 0.8918,
+      "step": 4467
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8920197183555818e-05,
+      "loss": 0.9511,
+      "step": 4468
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8919624327925295e-05,
+      "loss": 0.8649,
+      "step": 4469
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.891905132905678e-05,
+      "loss": 0.9586,
+      "step": 4470
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.891847818695948e-05,
+      "loss": 0.9124,
+      "step": 4471
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8917904901642593e-05,
+      "loss": 0.8192,
+      "step": 4472
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8917331473115332e-05,
+      "loss": 1.0282,
+      "step": 4473
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.89167579013869e-05,
+      "loss": 0.9341,
+      "step": 4474
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8916184186466507e-05,
+      "loss": 0.8059,
+      "step": 4475
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.891561032836337e-05,
+      "loss": 0.8506,
+      "step": 4476
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8915036327086702e-05,
+      "loss": 0.9348,
+      "step": 4477
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8914462182645724e-05,
+      "loss": 0.9644,
+      "step": 4478
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8913887895049652e-05,
+      "loss": 0.8024,
+      "step": 4479
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8913313464307713e-05,
+      "loss": 0.7454,
+      "step": 4480
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8912738890429125e-05,
+      "loss": 0.9724,
+      "step": 4481
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.891216417342312e-05,
+      "loss": 0.9717,
+      "step": 4482
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8911589313298927e-05,
+      "loss": 0.8626,
+      "step": 4483
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8911014310065776e-05,
+      "loss": 0.8631,
+      "step": 4484
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.89104391637329e-05,
+      "loss": 0.9569,
+      "step": 4485
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8909863874309538e-05,
+      "loss": 0.8594,
+      "step": 4486
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8909288441804927e-05,
+      "loss": 0.9995,
+      "step": 4487
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8908712866228306e-05,
+      "loss": 0.9327,
+      "step": 4488
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8908137147588922e-05,
+      "loss": 0.8761,
+      "step": 4489
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8907561285896014e-05,
+      "loss": 0.941,
+      "step": 4490
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8906985281158837e-05,
+      "loss": 1.0476,
+      "step": 4491
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.890640913338664e-05,
+      "loss": 0.9938,
+      "step": 4492
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8905832842588666e-05,
+      "loss": 0.9358,
+      "step": 4493
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.890525640877418e-05,
+      "loss": 0.993,
+      "step": 4494
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.890467983195243e-05,
+      "loss": 0.9677,
+      "step": 4495
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8904103112132687e-05,
+      "loss": 1.0253,
+      "step": 4496
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8903526249324203e-05,
+      "loss": 1.0135,
+      "step": 4497
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8902949243536245e-05,
+      "loss": 0.8329,
+      "step": 4498
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8902372094778078e-05,
+      "loss": 0.8599,
+      "step": 4499
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8901794803058967e-05,
+      "loss": 0.852,
+      "step": 4500
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8901217368388193e-05,
+      "loss": 0.9725,
+      "step": 4501
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8900639790775014e-05,
+      "loss": 0.8081,
+      "step": 4502
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8900062070228716e-05,
+      "loss": 0.8698,
+      "step": 4503
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8899484206758574e-05,
+      "loss": 0.854,
+      "step": 4504
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.889890620037387e-05,
+      "loss": 0.9314,
+      "step": 4505
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.889832805108388e-05,
+      "loss": 0.8607,
+      "step": 4506
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8897749758897893e-05,
+      "loss": 0.8417,
+      "step": 4507
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8897171323825195e-05,
+      "loss": 1.0041,
+      "step": 4508
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8896592745875075e-05,
+      "loss": 0.7734,
+      "step": 4509
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8896014025056822e-05,
+      "loss": 0.8848,
+      "step": 4510
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.889543516137973e-05,
+      "loss": 0.9114,
+      "step": 4511
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8894856154853097e-05,
+      "loss": 0.9123,
+      "step": 4512
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.889427700548622e-05,
+      "loss": 0.9046,
+      "step": 4513
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.88936977132884e-05,
+      "loss": 0.8202,
+      "step": 4514
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8893118278268937e-05,
+      "loss": 1.0011,
+      "step": 4515
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.889253870043714e-05,
+      "loss": 0.9625,
+      "step": 4516
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8891958979802316e-05,
+      "loss": 0.9125,
+      "step": 4517
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8891379116373768e-05,
+      "loss": 0.9334,
+      "step": 4518
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8890799110160815e-05,
+      "loss": 0.9101,
+      "step": 4519
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.889021896117277e-05,
+      "loss": 0.9651,
+      "step": 4520
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.888963866941895e-05,
+      "loss": 0.8508,
+      "step": 4521
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.888905823490867e-05,
+      "loss": 0.801,
+      "step": 4522
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8888477657651255e-05,
+      "loss": 1.0049,
+      "step": 4523
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8887896937656028e-05,
+      "loss": 0.8653,
+      "step": 4524
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.888731607493231e-05,
+      "loss": 0.8324,
+      "step": 4525
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8886735069489433e-05,
+      "loss": 0.8915,
+      "step": 4526
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.888615392133673e-05,
+      "loss": 0.7754,
+      "step": 4527
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8885572630483527e-05,
+      "loss": 0.907,
+      "step": 4528
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8884991196939163e-05,
+      "loss": 0.9678,
+      "step": 4529
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.888440962071297e-05,
+      "loss": 0.9788,
+      "step": 4530
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8883827901814296e-05,
+      "loss": 0.9369,
+      "step": 4531
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8883246040252478e-05,
+      "loss": 0.7776,
+      "step": 4532
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8882664036036854e-05,
+      "loss": 1.0362,
+      "step": 4533
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.888208188917678e-05,
+      "loss": 0.8106,
+      "step": 4534
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8881499599681603e-05,
+      "loss": 0.8769,
+      "step": 4535
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8880917167560668e-05,
+      "loss": 0.7605,
+      "step": 4536
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8880334592823333e-05,
+      "loss": 0.9585,
+      "step": 4537
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8879751875478954e-05,
+      "loss": 1.0273,
+      "step": 4538
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8879169015536884e-05,
+      "loss": 0.919,
+      "step": 4539
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8878586013006487e-05,
+      "loss": 0.9951,
+      "step": 4540
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8878002867897124e-05,
+      "loss": 1.0013,
+      "step": 4541
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.887741958021816e-05,
+      "loss": 0.8682,
+      "step": 4542
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8876836149978964e-05,
+      "loss": 0.8158,
+      "step": 4543
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8876252577188897e-05,
+      "loss": 0.8291,
+      "step": 4544
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.887566886185734e-05,
+      "loss": 0.7339,
+      "step": 4545
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8875085003993663e-05,
+      "loss": 0.7787,
+      "step": 4546
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8874501003607242e-05,
+      "loss": 0.876,
+      "step": 4547
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8873916860707453e-05,
+      "loss": 0.7915,
+      "step": 4548
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8873332575303682e-05,
+      "loss": 0.9192,
+      "step": 4549
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8872748147405303e-05,
+      "loss": 0.9066,
+      "step": 4550
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8872163577021714e-05,
+      "loss": 0.839,
+      "step": 4551
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8871578864162292e-05,
+      "loss": 0.8109,
+      "step": 4552
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.887099400883643e-05,
+      "loss": 0.8988,
+      "step": 4553
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8870409011053522e-05,
+      "loss": 0.8843,
+      "step": 4554
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8869823870822958e-05,
+      "loss": 0.9257,
+      "step": 4555
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8869238588154138e-05,
+      "loss": 0.9356,
+      "step": 4556
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.886865316305646e-05,
+      "loss": 0.8542,
+      "step": 4557
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8868067595539327e-05,
+      "loss": 0.8867,
+      "step": 4558
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.886748188561214e-05,
+      "loss": 0.9534,
+      "step": 4559
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8866896033284305e-05,
+      "loss": 0.7896,
+      "step": 4560
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.886631003856523e-05,
+      "loss": 1.0948,
+      "step": 4561
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8865723901464326e-05,
+      "loss": 0.9224,
+      "step": 4562
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.886513762199101e-05,
+      "loss": 0.9752,
+      "step": 4563
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8864551200154687e-05,
+      "loss": 0.8424,
+      "step": 4564
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8863964635964777e-05,
+      "loss": 1.0019,
+      "step": 4565
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8863377929430706e-05,
+      "loss": 0.9498,
+      "step": 4566
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8862791080561894e-05,
+      "loss": 0.923,
+      "step": 4567
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.886220408936776e-05,
+      "loss": 0.8225,
+      "step": 4568
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8861616955857734e-05,
+      "loss": 0.8087,
+      "step": 4569
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8861029680041242e-05,
+      "loss": 0.8412,
+      "step": 4570
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8860442261927722e-05,
+      "loss": 0.8804,
+      "step": 4571
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8859854701526598e-05,
+      "loss": 0.777,
+      "step": 4572
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.885926699884731e-05,
+      "loss": 0.7874,
+      "step": 4573
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8858679153899295e-05,
+      "loss": 1.0513,
+      "step": 4574
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8858091166691995e-05,
+      "loss": 0.8326,
+      "step": 4575
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.885750303723485e-05,
+      "loss": 0.7098,
+      "step": 4576
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8856914765537303e-05,
+      "loss": 0.9209,
+      "step": 4577
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8856326351608806e-05,
+      "loss": 0.9488,
+      "step": 4578
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8855737795458806e-05,
+      "loss": 0.8143,
+      "step": 4579
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.885514909709675e-05,
+      "loss": 0.9059,
+      "step": 4580
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8854560256532098e-05,
+      "loss": 0.8573,
+      "step": 4581
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8853971273774306e-05,
+      "loss": 0.641,
+      "step": 4582
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.885338214883283e-05,
+      "loss": 0.797,
+      "step": 4583
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8852792881717125e-05,
+      "loss": 0.8493,
+      "step": 4584
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8852203472436662e-05,
+      "loss": 0.8423,
+      "step": 4585
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8851613921000906e-05,
+      "loss": 0.9689,
+      "step": 4586
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8851024227419322e-05,
+      "loss": 0.9133,
+      "step": 4587
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.885043439170138e-05,
+      "loss": 0.8465,
+      "step": 4588
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8849844413856548e-05,
+      "loss": 0.8988,
+      "step": 4589
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8849254293894307e-05,
+      "loss": 0.7921,
+      "step": 4590
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8848664031824132e-05,
+      "loss": 0.882,
+      "step": 4591
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8848073627655496e-05,
+      "loss": 1.0085,
+      "step": 4592
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.884748308139789e-05,
+      "loss": 1.0193,
+      "step": 4593
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.884689239306079e-05,
+      "loss": 1.0053,
+      "step": 4594
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8846301562653682e-05,
+      "loss": 0.9583,
+      "step": 4595
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8845710590186058e-05,
+      "loss": 0.8775,
+      "step": 4596
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8845119475667407e-05,
+      "loss": 1.0054,
+      "step": 4597
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.884452821910722e-05,
+      "loss": 0.9041,
+      "step": 4598
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.884393682051499e-05,
+      "loss": 0.863,
+      "step": 4599
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.884334527990022e-05,
+      "loss": 1.0935,
+      "step": 4600
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8842753597272408e-05,
+      "loss": 0.9362,
+      "step": 4601
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.884216177264105e-05,
+      "loss": 0.8441,
+      "step": 4602
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8841569806015652e-05,
+      "loss": 0.9282,
+      "step": 4603
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8840977697405728e-05,
+      "loss": 0.9084,
+      "step": 4604
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.884038544682078e-05,
+      "loss": 0.8371,
+      "step": 4605
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8839793054270315e-05,
+      "loss": 0.8686,
+      "step": 4606
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8839200519763852e-05,
+      "loss": 1.009,
+      "step": 4607
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8838607843310907e-05,
+      "loss": 0.9074,
+      "step": 4608
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8838015024920993e-05,
+      "loss": 0.9003,
+      "step": 4609
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.883742206460363e-05,
+      "loss": 0.936,
+      "step": 4610
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8836828962368344e-05,
+      "loss": 0.8121,
+      "step": 4611
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8836235718224664e-05,
+      "loss": 0.9115,
+      "step": 4612
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8835642332182105e-05,
+      "loss": 0.8855,
+      "step": 4613
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8835048804250204e-05,
+      "loss": 0.8825,
+      "step": 4614
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.883445513443849e-05,
+      "loss": 0.7983,
+      "step": 4615
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8833861322756496e-05,
+      "loss": 0.8832,
+      "step": 4616
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.883326736921376e-05,
+      "loss": 0.9464,
+      "step": 4617
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8832673273819812e-05,
+      "loss": 0.9279,
+      "step": 4618
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8832079036584208e-05,
+      "loss": 0.919,
+      "step": 4619
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8831484657516478e-05,
+      "loss": 1.0181,
+      "step": 4620
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.883089013662617e-05,
+      "loss": 0.9277,
+      "step": 4621
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8830295473922833e-05,
+      "loss": 0.9841,
+      "step": 4622
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8829700669416017e-05,
+      "loss": 0.9438,
+      "step": 4623
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8829105723115272e-05,
+      "loss": 1.038,
+      "step": 4624
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.882851063503015e-05,
+      "loss": 0.9884,
+      "step": 4625
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8827915405170212e-05,
+      "loss": 0.8886,
+      "step": 4626
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8827320033545015e-05,
+      "loss": 0.8236,
+      "step": 4627
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8826724520164118e-05,
+      "loss": 0.8181,
+      "step": 4628
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.882612886503709e-05,
+      "loss": 0.8554,
+      "step": 4629
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8825533068173486e-05,
+      "loss": 0.8003,
+      "step": 4630
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8824937129582886e-05,
+      "loss": 0.9753,
+      "step": 4631
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.882434104927485e-05,
+      "loss": 0.9288,
+      "step": 4632
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8823744827258954e-05,
+      "loss": 0.8648,
+      "step": 4633
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8823148463544775e-05,
+      "loss": 0.9187,
+      "step": 4634
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.882255195814189e-05,
+      "loss": 0.7552,
+      "step": 4635
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.882195531105987e-05,
+      "loss": 1.0186,
+      "step": 4636
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8821358522308306e-05,
+      "loss": 0.8903,
+      "step": 4637
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8820761591896775e-05,
+      "loss": 0.9271,
+      "step": 4638
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8820164519834868e-05,
+      "loss": 0.8223,
+      "step": 4639
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.881956730613217e-05,
+      "loss": 0.8308,
+      "step": 4640
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8818969950798274e-05,
+      "loss": 0.857,
+      "step": 4641
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.881837245384277e-05,
+      "loss": 1.0124,
+      "step": 4642
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8817774815275256e-05,
+      "loss": 1.0042,
+      "step": 4643
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.881717703510533e-05,
+      "loss": 0.8888,
+      "step": 4644
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.881657911334258e-05,
+      "loss": 0.8654,
+      "step": 4645
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8815981049996627e-05,
+      "loss": 0.9111,
+      "step": 4646
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.881538284507706e-05,
+      "loss": 0.8474,
+      "step": 4647
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8814784498593494e-05,
+      "loss": 0.9525,
+      "step": 4648
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8814186010555533e-05,
+      "loss": 1.0665,
+      "step": 4649
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.881358738097279e-05,
+      "loss": 0.929,
+      "step": 4650
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8812988609854877e-05,
+      "loss": 0.7516,
+      "step": 4651
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.881238969721141e-05,
+      "loss": 0.9191,
+      "step": 4652
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.881179064305201e-05,
+      "loss": 0.9075,
+      "step": 4653
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.881119144738629e-05,
+      "loss": 1.004,
+      "step": 4654
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8810592110223876e-05,
+      "loss": 0.9794,
+      "step": 4655
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8809992631574395e-05,
+      "loss": 0.9011,
+      "step": 4656
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.880939301144747e-05,
+      "loss": 0.9183,
+      "step": 4657
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8808793249852737e-05,
+      "loss": 1.031,
+      "step": 4658
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.880819334679982e-05,
+      "loss": 0.9509,
+      "step": 4659
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8807593302298354e-05,
+      "loss": 0.8571,
+      "step": 4660
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8806993116357975e-05,
+      "loss": 0.8717,
+      "step": 4661
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8806392788988325e-05,
+      "loss": 0.8349,
+      "step": 4662
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.880579232019904e-05,
+      "loss": 0.8248,
+      "step": 4663
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8805191709999767e-05,
+      "loss": 0.9324,
+      "step": 4664
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8804590958400147e-05,
+      "loss": 0.8468,
+      "step": 4665
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8803990065409826e-05,
+      "loss": 0.9404,
+      "step": 4666
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8803389031038462e-05,
+      "loss": 0.9525,
+      "step": 4667
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.88027878552957e-05,
+      "loss": 0.9554,
+      "step": 4668
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.880218653819119e-05,
+      "loss": 0.8654,
+      "step": 4669
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.88015850797346e-05,
+      "loss": 0.9415,
+      "step": 4670
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8800983479935585e-05,
+      "loss": 0.7924,
+      "step": 4671
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.88003817388038e-05,
+      "loss": 0.8999,
+      "step": 4672
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.879977985634891e-05,
+      "loss": 0.9936,
+      "step": 4673
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8799177832580585e-05,
+      "loss": 0.9191,
+      "step": 4674
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8798575667508486e-05,
+      "loss": 0.9235,
+      "step": 4675
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.879797336114229e-05,
+      "loss": 0.9798,
+      "step": 4676
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8797370913491666e-05,
+      "loss": 0.8957,
+      "step": 4677
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.879676832456629e-05,
+      "loss": 0.786,
+      "step": 4678
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8796165594375835e-05,
+      "loss": 0.8594,
+      "step": 4679
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8795562722929986e-05,
+      "loss": 0.9156,
+      "step": 4680
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8794959710238417e-05,
+      "loss": 0.7968,
+      "step": 4681
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.879435655631082e-05,
+      "loss": 0.9781,
+      "step": 4682
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8793753261156874e-05,
+      "loss": 0.8525,
+      "step": 4683
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.879314982478627e-05,
+      "loss": 0.9107,
+      "step": 4684
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.87925462472087e-05,
+      "loss": 1.0251,
+      "step": 4685
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8791942528433854e-05,
+      "loss": 0.8485,
+      "step": 4686
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8791338668471427e-05,
+      "loss": 0.7857,
+      "step": 4687
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.879073466733112e-05,
+      "loss": 0.9631,
+      "step": 4688
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8790130525022625e-05,
+      "loss": 0.987,
+      "step": 4689
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.878952624155565e-05,
+      "loss": 0.8558,
+      "step": 4690
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.87889218169399e-05,
+      "loss": 0.7851,
+      "step": 4691
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8788317251185077e-05,
+      "loss": 0.9804,
+      "step": 4692
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.878771254430089e-05,
+      "loss": 0.8195,
+      "step": 4693
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8787107696297052e-05,
+      "loss": 0.943,
+      "step": 4694
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8786502707183277e-05,
+      "loss": 0.9218,
+      "step": 4695
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.878589757696928e-05,
+      "loss": 0.8544,
+      "step": 4696
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8785292305664774e-05,
+      "loss": 1.0364,
+      "step": 4697
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.878468689327948e-05,
+      "loss": 0.9507,
+      "step": 4698
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8784081339823127e-05,
+      "loss": 0.8889,
+      "step": 4699
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8783475645305436e-05,
+      "loss": 0.7912,
+      "step": 4700
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.878286980973613e-05,
+      "loss": 0.8413,
+      "step": 4701
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8782263833124937e-05,
+      "loss": 0.6658,
+      "step": 4702
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8781657715481594e-05,
+      "loss": 0.9465,
+      "step": 4703
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8781051456815834e-05,
+      "loss": 0.8915,
+      "step": 4704
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8780445057137387e-05,
+      "loss": 0.8715,
+      "step": 4705
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8779838516455998e-05,
+      "loss": 0.9025,
+      "step": 4706
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8779231834781405e-05,
+      "loss": 0.9295,
+      "step": 4707
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8778625012123347e-05,
+      "loss": 0.8441,
+      "step": 4708
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8778018048491574e-05,
+      "loss": 0.8392,
+      "step": 4709
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.877741094389583e-05,
+      "loss": 0.7227,
+      "step": 4710
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8776803698345866e-05,
+      "loss": 1.0206,
+      "step": 4711
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.877619631185143e-05,
+      "loss": 0.8879,
+      "step": 4712
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.877558878442228e-05,
+      "loss": 0.9513,
+      "step": 4713
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.877498111606817e-05,
+      "loss": 1.025,
+      "step": 4714
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8774373306798858e-05,
+      "loss": 0.7902,
+      "step": 4715
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8773765356624104e-05,
+      "loss": 0.9763,
+      "step": 4716
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8773157265553676e-05,
+      "loss": 0.9733,
+      "step": 4717
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8772549033597336e-05,
+      "loss": 0.8452,
+      "step": 4718
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.877194066076485e-05,
+      "loss": 0.9789,
+      "step": 4719
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.877133214706599e-05,
+      "loss": 0.9027,
+      "step": 4720
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8770723492510522e-05,
+      "loss": 0.8001,
+      "step": 4721
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8770114697108227e-05,
+      "loss": 0.8858,
+      "step": 4722
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8769505760868884e-05,
+      "loss": 0.9347,
+      "step": 4723
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8768896683802263e-05,
+      "loss": 0.8674,
+      "step": 4724
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8768287465918152e-05,
+      "loss": 0.8656,
+      "step": 4725
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.876767810722633e-05,
+      "loss": 0.8823,
+      "step": 4726
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8767068607736586e-05,
+      "loss": 0.9559,
+      "step": 4727
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8766458967458704e-05,
+      "loss": 0.9334,
+      "step": 4728
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8765849186402475e-05,
+      "loss": 0.7811,
+      "step": 4729
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8765239264577695e-05,
+      "loss": 0.7932,
+      "step": 4730
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8764629201994152e-05,
+      "loss": 0.891,
+      "step": 4731
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.876401899866165e-05,
+      "loss": 0.8841,
+      "step": 4732
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.876340865458998e-05,
+      "loss": 0.8158,
+      "step": 4733
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8762798169788958e-05,
+      "loss": 0.9191,
+      "step": 4734
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8762187544268368e-05,
+      "loss": 0.855,
+      "step": 4735
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8761576778038032e-05,
+      "loss": 0.8266,
+      "step": 4736
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8760965871107748e-05,
+      "loss": 0.7677,
+      "step": 4737
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8760354823487334e-05,
+      "loss": 0.8131,
+      "step": 4738
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8759743635186596e-05,
+      "loss": 1.0081,
+      "step": 4739
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8759132306215352e-05,
+      "loss": 0.8217,
+      "step": 4740
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.875852083658342e-05,
+      "loss": 0.8913,
+      "step": 4741
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8757909226300617e-05,
+      "loss": 0.7885,
+      "step": 4742
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8757297475376766e-05,
+      "loss": 0.8407,
+      "step": 4743
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8756685583821693e-05,
+      "loss": 0.9053,
+      "step": 4744
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.875607355164522e-05,
+      "loss": 0.8684,
+      "step": 4745
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8755461378857177e-05,
+      "loss": 0.922,
+      "step": 4746
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8754849065467396e-05,
+      "loss": 0.7828,
+      "step": 4747
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.875423661148571e-05,
+      "loss": 0.8944,
+      "step": 4748
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8753624016921955e-05,
+      "loss": 0.8534,
+      "step": 4749
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.875301128178597e-05,
+      "loss": 0.8957,
+      "step": 4750
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.875239840608759e-05,
+      "loss": 0.9795,
+      "step": 4751
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8751785389836653e-05,
+      "loss": 0.9174,
+      "step": 4752
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8751172233043017e-05,
+      "loss": 0.9015,
+      "step": 4753
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8750558935716516e-05,
+      "loss": 0.8074,
+      "step": 4754
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8749945497867004e-05,
+      "loss": 0.9156,
+      "step": 4755
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8749331919504336e-05,
+      "loss": 0.8437,
+      "step": 4756
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8748718200638356e-05,
+      "loss": 0.7842,
+      "step": 4757
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8748104341278924e-05,
+      "loss": 0.92,
+      "step": 4758
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8747490341435904e-05,
+      "loss": 0.9077,
+      "step": 4759
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8746876201119143e-05,
+      "loss": 0.8713,
+      "step": 4760
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8746261920338516e-05,
+      "loss": 0.8764,
+      "step": 4761
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8745647499103882e-05,
+      "loss": 0.835,
+      "step": 4762
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8745032937425103e-05,
+      "loss": 0.8691,
+      "step": 4763
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8744418235312057e-05,
+      "loss": 0.7871,
+      "step": 4764
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8743803392774612e-05,
+      "loss": 0.862,
+      "step": 4765
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8743188409822642e-05,
+      "loss": 0.807,
+      "step": 4766
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.874257328646602e-05,
+      "loss": 0.7285,
+      "step": 4767
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8741958022714625e-05,
+      "loss": 0.8659,
+      "step": 4768
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.874134261857834e-05,
+      "loss": 0.8964,
+      "step": 4769
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8740727074067047e-05,
+      "loss": 0.7982,
+      "step": 4770
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.874011138919063e-05,
+      "loss": 0.7896,
+      "step": 4771
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8739495563958973e-05,
+      "loss": 0.8369,
+      "step": 4772
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.873887959838197e-05,
+      "loss": 0.8228,
+      "step": 4773
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.873826349246951e-05,
+      "loss": 0.8975,
+      "step": 4774
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8737647246231492e-05,
+      "loss": 0.7548,
+      "step": 4775
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8737030859677807e-05,
+      "loss": 0.9124,
+      "step": 4776
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.873641433281835e-05,
+      "loss": 0.8173,
+      "step": 4777
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.873579766566303e-05,
+      "loss": 0.8318,
+      "step": 4778
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8735180858221746e-05,
+      "loss": 0.8815,
+      "step": 4779
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8734563910504403e-05,
+      "loss": 0.8312,
+      "step": 4780
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8733946822520908e-05,
+      "loss": 0.9065,
+      "step": 4781
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.873332959428117e-05,
+      "loss": 0.8782,
+      "step": 4782
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8732712225795105e-05,
+      "loss": 0.8973,
+      "step": 4783
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.873209471707262e-05,
+      "loss": 0.9227,
+      "step": 4784
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.873147706812364e-05,
+      "loss": 1.0027,
+      "step": 4785
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.873085927895808e-05,
+      "loss": 0.9049,
+      "step": 4786
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8730241349585857e-05,
+      "loss": 0.8596,
+      "step": 4787
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.87296232800169e-05,
+      "loss": 0.7778,
+      "step": 4788
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.872900507026113e-05,
+      "loss": 0.9437,
+      "step": 4789
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8728386720328477e-05,
+      "loss": 0.8062,
+      "step": 4790
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.872776823022887e-05,
+      "loss": 0.8245,
+      "step": 4791
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8727149599972244e-05,
+      "loss": 0.845,
+      "step": 4792
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.872653082956853e-05,
+      "loss": 0.7724,
+      "step": 4793
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8725911919027668e-05,
+      "loss": 0.8624,
+      "step": 4794
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.872529286835959e-05,
+      "loss": 0.9528,
+      "step": 4795
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8724673677574245e-05,
+      "loss": 0.8913,
+      "step": 4796
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8724054346681573e-05,
+      "loss": 0.8147,
+      "step": 4797
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8723434875691518e-05,
+      "loss": 0.8316,
+      "step": 4798
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8722815264614035e-05,
+      "loss": 0.9083,
+      "step": 4799
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8722195513459065e-05,
+      "loss": 0.9992,
+      "step": 4800
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8721575622236565e-05,
+      "loss": 1.0633,
+      "step": 4801
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.872095559095649e-05,
+      "loss": 1.0122,
+      "step": 4802
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8720335419628796e-05,
+      "loss": 1.1124,
+      "step": 4803
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8719715108263442e-05,
+      "loss": 0.9748,
+      "step": 4804
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.871909465687039e-05,
+      "loss": 0.7556,
+      "step": 4805
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8718474065459603e-05,
+      "loss": 0.7171,
+      "step": 4806
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.871785333404105e-05,
+      "loss": 0.9383,
+      "step": 4807
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8717232462624695e-05,
+      "loss": 0.7996,
+      "step": 4808
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.871661145122051e-05,
+      "loss": 0.8617,
+      "step": 4809
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8715990299838463e-05,
+      "loss": 1.0019,
+      "step": 4810
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.871536900848854e-05,
+      "loss": 0.8474,
+      "step": 4811
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.871474757718071e-05,
+      "loss": 0.9525,
+      "step": 4812
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8714126005924954e-05,
+      "loss": 0.8544,
+      "step": 4813
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8713504294731254e-05,
+      "loss": 0.8869,
+      "step": 4814
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8712882443609592e-05,
+      "loss": 0.8684,
+      "step": 4815
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8712260452569955e-05,
+      "loss": 0.8708,
+      "step": 4816
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8711638321622336e-05,
+      "loss": 0.8914,
+      "step": 4817
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.871101605077672e-05,
+      "loss": 0.796,
+      "step": 4818
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.87103936400431e-05,
+      "loss": 1.0195,
+      "step": 4819
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8709771089431476e-05,
+      "loss": 0.8805,
+      "step": 4820
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.870914839895184e-05,
+      "loss": 0.9387,
+      "step": 4821
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8708525568614194e-05,
+      "loss": 0.9306,
+      "step": 4822
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.870790259842854e-05,
+      "loss": 0.9401,
+      "step": 4823
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.870727948840488e-05,
+      "loss": 1.0652,
+      "step": 4824
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8706656238553224e-05,
+      "loss": 0.8485,
+      "step": 4825
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8706032848883583e-05,
+      "loss": 0.7913,
+      "step": 4826
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8705409319405957e-05,
+      "loss": 0.9268,
+      "step": 4827
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.870478565013037e-05,
+      "loss": 0.9586,
+      "step": 4828
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.870416184106683e-05,
+      "loss": 0.833,
+      "step": 4829
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.870353789222536e-05,
+      "loss": 0.8189,
+      "step": 4830
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.870291380361598e-05,
+      "loss": 0.8532,
+      "step": 4831
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8702289575248706e-05,
+      "loss": 1.018,
+      "step": 4832
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8701665207133567e-05,
+      "loss": 1.0116,
+      "step": 4833
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8701040699280588e-05,
+      "loss": 0.951,
+      "step": 4834
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.87004160516998e-05,
+      "loss": 0.8082,
+      "step": 4835
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.869979126440123e-05,
+      "loss": 0.943,
+      "step": 4836
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8699166337394916e-05,
+      "loss": 0.9625,
+      "step": 4837
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.869854127069089e-05,
+      "loss": 0.8848,
+      "step": 4838
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8697916064299192e-05,
+      "loss": 0.786,
+      "step": 4839
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.869729071822986e-05,
+      "loss": 0.818,
+      "step": 4840
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.869666523249294e-05,
+      "loss": 0.7407,
+      "step": 4841
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.869603960709847e-05,
+      "loss": 0.9728,
+      "step": 4842
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8695413842056503e-05,
+      "loss": 0.9191,
+      "step": 4843
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8694787937377085e-05,
+      "loss": 0.7857,
+      "step": 4844
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.869416189307027e-05,
+      "loss": 0.9179,
+      "step": 4845
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8693535709146106e-05,
+      "loss": 0.7871,
+      "step": 4846
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8692909385614653e-05,
+      "loss": 0.927,
+      "step": 4847
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8692282922485966e-05,
+      "loss": 0.8167,
+      "step": 4848
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8691656319770112e-05,
+      "loss": 0.8744,
+      "step": 4849
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8691029577477147e-05,
+      "loss": 0.9154,
+      "step": 4850
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8690402695617136e-05,
+      "loss": 0.8095,
+      "step": 4851
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8689775674200147e-05,
+      "loss": 0.8903,
+      "step": 4852
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.868914851323625e-05,
+      "loss": 0.9275,
+      "step": 4853
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8688521212735523e-05,
+      "loss": 0.9225,
+      "step": 4854
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8687893772708024e-05,
+      "loss": 0.9295,
+      "step": 4855
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.868726619316384e-05,
+      "loss": 0.868,
+      "step": 4856
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8686638474113047e-05,
+      "loss": 1.0711,
+      "step": 4857
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8686010615565725e-05,
+      "loss": 0.9662,
+      "step": 4858
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.868538261753196e-05,
+      "loss": 0.7516,
+      "step": 4859
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8684754480021827e-05,
+      "loss": 0.7539,
+      "step": 4860
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8684126203045423e-05,
+      "loss": 0.9375,
+      "step": 4861
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8683497786612834e-05,
+      "loss": 0.9692,
+      "step": 4862
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8682869230734152e-05,
+      "loss": 0.8149,
+      "step": 4863
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.868224053541947e-05,
+      "loss": 0.8699,
+      "step": 4864
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8681611700678886e-05,
+      "loss": 0.9827,
+      "step": 4865
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8680982726522494e-05,
+      "loss": 0.9026,
+      "step": 4866
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.86803536129604e-05,
+      "loss": 0.809,
+      "step": 4867
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8679724360002703e-05,
+      "loss": 0.8992,
+      "step": 4868
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8679094967659508e-05,
+      "loss": 0.946,
+      "step": 4869
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.867846543594092e-05,
+      "loss": 0.8071,
+      "step": 4870
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8677835764857058e-05,
+      "loss": 0.8618,
+      "step": 4871
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8677205954418024e-05,
+      "loss": 0.8596,
+      "step": 4872
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.867657600463394e-05,
+      "loss": 0.7676,
+      "step": 4873
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8675945915514916e-05,
+      "loss": 0.8623,
+      "step": 4874
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8675315687071068e-05,
+      "loss": 0.7785,
+      "step": 4875
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8674685319312524e-05,
+      "loss": 0.8245,
+      "step": 4876
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8674054812249403e-05,
+      "loss": 0.8913,
+      "step": 4877
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8673424165891832e-05,
+      "loss": 0.8838,
+      "step": 4878
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8672793380249935e-05,
+      "loss": 1.0924,
+      "step": 4879
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8672162455333847e-05,
+      "loss": 0.8787,
+      "step": 4880
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8671531391153697e-05,
+      "loss": 0.9734,
+      "step": 4881
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8670900187719616e-05,
+      "loss": 0.9259,
+      "step": 4882
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8670268845041744e-05,
+      "loss": 0.9329,
+      "step": 4883
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.866963736313022e-05,
+      "loss": 0.8439,
+      "step": 4884
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.866900574199518e-05,
+      "loss": 0.8779,
+      "step": 4885
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8668373981646776e-05,
+      "loss": 0.7966,
+      "step": 4886
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8667742082095147e-05,
+      "loss": 0.9366,
+      "step": 4887
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8667110043350435e-05,
+      "loss": 0.9205,
+      "step": 4888
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8666477865422804e-05,
+      "loss": 0.853,
+      "step": 4889
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8665845548322394e-05,
+      "loss": 0.8584,
+      "step": 4890
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8665213092059367e-05,
+      "loss": 0.8095,
+      "step": 4891
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.866458049664387e-05,
+      "loss": 0.8518,
+      "step": 4892
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8663947762086074e-05,
+      "loss": 0.861,
+      "step": 4893
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.866331488839613e-05,
+      "loss": 0.7844,
+      "step": 4894
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8662681875584207e-05,
+      "loss": 0.8865,
+      "step": 4895
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8662048723660464e-05,
+      "loss": 0.9149,
+      "step": 4896
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8661415432635076e-05,
+      "loss": 0.8961,
+      "step": 4897
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.866078200251821e-05,
+      "loss": 1.0645,
+      "step": 4898
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8660148433320032e-05,
+      "loss": 0.8195,
+      "step": 4899
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8659514725050728e-05,
+      "loss": 0.9461,
+      "step": 4900
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8658880877720467e-05,
+      "loss": 0.7496,
+      "step": 4901
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8658246891339428e-05,
+      "loss": 0.8769,
+      "step": 4902
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8657612765917794e-05,
+      "loss": 0.9148,
+      "step": 4903
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.865697850146575e-05,
+      "loss": 0.7014,
+      "step": 4904
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8656344097993475e-05,
+      "loss": 0.9216,
+      "step": 4905
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8655709555511162e-05,
+      "loss": 0.9438,
+      "step": 4906
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8655074874029e-05,
+      "loss": 0.9147,
+      "step": 4907
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.865444005355718e-05,
+      "loss": 0.863,
+      "step": 4908
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.86538050941059e-05,
+      "loss": 0.8431,
+      "step": 4909
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.865316999568535e-05,
+      "loss": 0.8942,
+      "step": 4910
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.865253475830574e-05,
+      "loss": 0.9798,
+      "step": 4911
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8651899381977257e-05,
+      "loss": 0.719,
+      "step": 4912
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8651263866710113e-05,
+      "loss": 0.9297,
+      "step": 4913
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8650628212514516e-05,
+      "loss": 0.7854,
+      "step": 4914
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8649992419400663e-05,
+      "loss": 0.7651,
+      "step": 4915
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8649356487378774e-05,
+      "loss": 0.7484,
+      "step": 4916
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.864872041645906e-05,
+      "loss": 0.9398,
+      "step": 4917
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.864808420665173e-05,
+      "loss": 0.8273,
+      "step": 4918
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8647447857967007e-05,
+      "loss": 0.9368,
+      "step": 4919
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8646811370415107e-05,
+      "loss": 0.8911,
+      "step": 4920
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8646174744006253e-05,
+      "loss": 0.9757,
+      "step": 4921
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8645537978750664e-05,
+      "loss": 0.914,
+      "step": 4922
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.864490107465857e-05,
+      "loss": 0.9673,
+      "step": 4923
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8644264031740197e-05,
+      "loss": 0.9531,
+      "step": 4924
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8643626850005772e-05,
+      "loss": 0.9622,
+      "step": 4925
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8642989529465537e-05,
+      "loss": 0.8541,
+      "step": 4926
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8642352070129715e-05,
+      "loss": 0.9249,
+      "step": 4927
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.864171447200855e-05,
+      "loss": 0.8327,
+      "step": 4928
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.864107673511228e-05,
+      "loss": 0.8358,
+      "step": 4929
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8640438859451147e-05,
+      "loss": 0.8897,
+      "step": 4930
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.863980084503539e-05,
+      "loss": 0.83,
+      "step": 4931
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.863916269187526e-05,
+      "loss": 0.8337,
+      "step": 4932
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8638524399981003e-05,
+      "loss": 0.9402,
+      "step": 4933
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8637885969362867e-05,
+      "loss": 0.866,
+      "step": 4934
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8637247400031106e-05,
+      "loss": 0.7731,
+      "step": 4935
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8636608691995976e-05,
+      "loss": 0.8236,
+      "step": 4936
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8635969845267735e-05,
+      "loss": 0.866,
+      "step": 4937
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8635330859856636e-05,
+      "loss": 0.8936,
+      "step": 4938
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8634691735772942e-05,
+      "loss": 0.8141,
+      "step": 4939
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8634052473026925e-05,
+      "loss": 0.8115,
+      "step": 4940
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8633413071628842e-05,
+      "loss": 0.8237,
+      "step": 4941
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8632773531588962e-05,
+      "loss": 0.8052,
+      "step": 4942
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8632133852917557e-05,
+      "loss": 0.851,
+      "step": 4943
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8631494035624898e-05,
+      "loss": 0.9141,
+      "step": 4944
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8630854079721263e-05,
+      "loss": 0.9261,
+      "step": 4945
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8630213985216925e-05,
+      "loss": 0.8841,
+      "step": 4946
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.862957375212216e-05,
+      "loss": 0.8857,
+      "step": 4947
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.862893338044726e-05,
+      "loss": 0.8868,
+      "step": 4948
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8628292870202504e-05,
+      "loss": 0.8044,
+      "step": 4949
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8627652221398173e-05,
+      "loss": 0.98,
+      "step": 4950
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.862701143404456e-05,
+      "loss": 0.863,
+      "step": 4951
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8626370508151955e-05,
+      "loss": 0.825,
+      "step": 4952
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8625729443730643e-05,
+      "loss": 1.0146,
+      "step": 4953
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.862508824079093e-05,
+      "loss": 0.9409,
+      "step": 4954
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8624446899343107e-05,
+      "loss": 0.8235,
+      "step": 4955
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8623805419397474e-05,
+      "loss": 0.8755,
+      "step": 4956
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.862316380096433e-05,
+      "loss": 0.9088,
+      "step": 4957
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8622522044053984e-05,
+      "loss": 0.8692,
+      "step": 4958
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8621880148676736e-05,
+      "loss": 0.9288,
+      "step": 4959
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8621238114842897e-05,
+      "loss": 0.8108,
+      "step": 4960
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.862059594256278e-05,
+      "loss": 0.9276,
+      "step": 4961
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.861995363184669e-05,
+      "loss": 0.7603,
+      "step": 4962
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8619311182704946e-05,
+      "loss": 0.9778,
+      "step": 4963
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8618668595147867e-05,
+      "loss": 0.8042,
+      "step": 4964
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.861802586918577e-05,
+      "loss": 0.8255,
+      "step": 4965
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8617383004828978e-05,
+      "loss": 0.7964,
+      "step": 4966
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.861674000208781e-05,
+      "loss": 0.8769,
+      "step": 4967
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8616096860972598e-05,
+      "loss": 0.982,
+      "step": 4968
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8615453581493664e-05,
+      "loss": 0.8586,
+      "step": 4969
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8614810163661342e-05,
+      "loss": 0.8145,
+      "step": 4970
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8614166607485967e-05,
+      "loss": 0.9842,
+      "step": 4971
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8613522912977868e-05,
+      "loss": 0.7713,
+      "step": 4972
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8612879080147384e-05,
+      "loss": 0.8775,
+      "step": 4973
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8612235109004853e-05,
+      "loss": 0.8432,
+      "step": 4974
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8611590999560622e-05,
+      "loss": 0.8816,
+      "step": 4975
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.861094675182503e-05,
+      "loss": 0.9214,
+      "step": 4976
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8610302365808423e-05,
+      "loss": 0.8358,
+      "step": 4977
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8609657841521146e-05,
+      "loss": 0.9321,
+      "step": 4978
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8609013178973555e-05,
+      "loss": 0.8934,
+      "step": 4979
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8608368378175998e-05,
+      "loss": 0.8373,
+      "step": 4980
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8607723439138832e-05,
+      "loss": 1.0023,
+      "step": 4981
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8607078361872414e-05,
+      "loss": 0.9231,
+      "step": 4982
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8606433146387103e-05,
+      "loss": 0.8994,
+      "step": 4983
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8605787792693265e-05,
+      "loss": 0.9684,
+      "step": 4984
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.860514230080125e-05,
+      "loss": 0.7992,
+      "step": 4985
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.860449667072144e-05,
+      "loss": 0.8954,
+      "step": 4986
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8603850902464193e-05,
+      "loss": 1.036,
+      "step": 4987
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.860320499603988e-05,
+      "loss": 0.8838,
+      "step": 4988
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8602558951458878e-05,
+      "loss": 0.8302,
+      "step": 4989
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8601912768731556e-05,
+      "loss": 0.9468,
+      "step": 4990
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8601266447868296e-05,
+      "loss": 0.7322,
+      "step": 4991
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.860061998887947e-05,
+      "loss": 0.9493,
+      "step": 4992
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.859997339177547e-05,
+      "loss": 1.0237,
+      "step": 4993
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8599326656566674e-05,
+      "loss": 0.8513,
+      "step": 4994
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8598679783263463e-05,
+      "loss": 0.8831,
+      "step": 4995
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.859803277187623e-05,
+      "loss": 0.9196,
+      "step": 4996
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8597385622415366e-05,
+      "loss": 0.9461,
+      "step": 4997
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8596738334891262e-05,
+      "loss": 0.8499,
+      "step": 4998
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8596090909314313e-05,
+      "loss": 0.8534,
+      "step": 4999
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8595443345694918e-05,
+      "loss": 0.8148,
+      "step": 5000
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.859479564404347e-05,
+      "loss": 0.8714,
+      "step": 5001
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8594147804370375e-05,
+      "loss": 0.8982,
+      "step": 5002
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8593499826686035e-05,
+      "loss": 0.651,
+      "step": 5003
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8592851711000857e-05,
+      "loss": 0.8383,
+      "step": 5004
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8592203457325248e-05,
+      "loss": 0.8548,
+      "step": 5005
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8591555065669614e-05,
+      "loss": 0.7901,
+      "step": 5006
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8590906536044375e-05,
+      "loss": 0.9251,
+      "step": 5007
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8590257868459943e-05,
+      "loss": 0.9096,
+      "step": 5008
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8589609062926732e-05,
+      "loss": 0.8282,
+      "step": 5009
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8588960119455164e-05,
+      "loss": 0.8159,
+      "step": 5010
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.858831103805566e-05,
+      "loss": 0.8898,
+      "step": 5011
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8587661818738637e-05,
+      "loss": 0.8142,
+      "step": 5012
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.858701246151453e-05,
+      "loss": 0.8947,
+      "step": 5013
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8586362966393765e-05,
+      "loss": 0.8322,
+      "step": 5014
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8585713333386767e-05,
+      "loss": 0.8215,
+      "step": 5015
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8585063562503973e-05,
+      "loss": 0.9825,
+      "step": 5016
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8584413653755814e-05,
+      "loss": 0.8123,
+      "step": 5017
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.858376360715273e-05,
+      "loss": 0.804,
+      "step": 5018
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8583113422705162e-05,
+      "loss": 0.7782,
+      "step": 5019
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.858246310042354e-05,
+      "loss": 0.8054,
+      "step": 5020
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8581812640318322e-05,
+      "loss": 0.969,
+      "step": 5021
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8581162042399942e-05,
+      "loss": 1.0048,
+      "step": 5022
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8580511306678856e-05,
+      "loss": 0.8591,
+      "step": 5023
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.857986043316551e-05,
+      "loss": 0.9679,
+      "step": 5024
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.857920942187035e-05,
+      "loss": 1.013,
+      "step": 5025
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8578558272803848e-05,
+      "loss": 0.9921,
+      "step": 5026
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.857790698597644e-05,
+      "loss": 0.9769,
+      "step": 5027
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.85772555613986e-05,
+      "loss": 0.8489,
+      "step": 5028
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.857660399908078e-05,
+      "loss": 1.0105,
+      "step": 5029
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.857595229903345e-05,
+      "loss": 0.8262,
+      "step": 5030
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8575300461267073e-05,
+      "loss": 0.9787,
+      "step": 5031
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8574648485792113e-05,
+      "loss": 0.9431,
+      "step": 5032
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8573996372619044e-05,
+      "loss": 1.0224,
+      "step": 5033
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8573344121758338e-05,
+      "loss": 0.9368,
+      "step": 5034
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8572691733220465e-05,
+      "loss": 0.9797,
+      "step": 5035
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8572039207015907e-05,
+      "loss": 0.8537,
+      "step": 5036
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8571386543155142e-05,
+      "loss": 0.8461,
+      "step": 5037
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8570733741648654e-05,
+      "loss": 1.0877,
+      "step": 5038
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8570080802506914e-05,
+      "loss": 0.8798,
+      "step": 5039
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.856942772574042e-05,
+      "loss": 0.9344,
+      "step": 5040
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.856877451135965e-05,
+      "loss": 0.7345,
+      "step": 5041
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.85681211593751e-05,
+      "loss": 0.8928,
+      "step": 5042
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8567467669797264e-05,
+      "loss": 0.8868,
+      "step": 5043
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.856681404263663e-05,
+      "loss": 0.8621,
+      "step": 5044
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.85661602779037e-05,
+      "loss": 0.8902,
+      "step": 5045
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8565506375608964e-05,
+      "loss": 0.864,
+      "step": 5046
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8564852335762936e-05,
+      "loss": 0.8239,
+      "step": 5047
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.856419815837611e-05,
+      "loss": 0.923,
+      "step": 5048
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8563543843458994e-05,
+      "loss": 0.8263,
+      "step": 5049
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.856288939102209e-05,
+      "loss": 1.0446,
+      "step": 5050
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8562234801075917e-05,
+      "loss": 0.8057,
+      "step": 5051
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.856158007363098e-05,
+      "loss": 0.8186,
+      "step": 5052
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8560925208697794e-05,
+      "loss": 0.8425,
+      "step": 5053
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8560270206286875e-05,
+      "loss": 0.6959,
+      "step": 5054
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.855961506640875e-05,
+      "loss": 0.9784,
+      "step": 5055
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8558959789073926e-05,
+      "loss": 0.7701,
+      "step": 5056
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.855830437429294e-05,
+      "loss": 0.8459,
+      "step": 5057
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8557648822076302e-05,
+      "loss": 0.9176,
+      "step": 5058
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.855699313243455e-05,
+      "loss": 0.9732,
+      "step": 5059
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8556337305378212e-05,
+      "loss": 0.788,
+      "step": 5060
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.855568134091782e-05,
+      "loss": 0.853,
+      "step": 5061
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8555025239063905e-05,
+      "loss": 0.7958,
+      "step": 5062
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8554368999827e-05,
+      "loss": 0.8954,
+      "step": 5063
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.855371262321766e-05,
+      "loss": 0.9786,
+      "step": 5064
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.85530561092464e-05,
+      "loss": 0.9603,
+      "step": 5065
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8552399457923785e-05,
+      "loss": 0.7345,
+      "step": 5066
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8551742669260348e-05,
+      "loss": 1.0741,
+      "step": 5067
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8551085743266642e-05,
+      "loss": 0.9475,
+      "step": 5068
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8550428679953213e-05,
+      "loss": 0.8601,
+      "step": 5069
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8549771479330612e-05,
+      "loss": 0.955,
+      "step": 5070
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8549114141409396e-05,
+      "loss": 0.8717,
+      "step": 5071
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8548456666200117e-05,
+      "loss": 0.853,
+      "step": 5072
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.854779905371334e-05,
+      "loss": 0.9553,
+      "step": 5073
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8547141303959623e-05,
+      "loss": 0.8159,
+      "step": 5074
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.854648341694952e-05,
+      "loss": 1.0534,
+      "step": 5075
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8545825392693605e-05,
+      "loss": 0.9934,
+      "step": 5076
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8545167231202447e-05,
+      "loss": 0.9434,
+      "step": 5077
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8544508932486605e-05,
+      "loss": 0.8467,
+      "step": 5078
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.854385049655666e-05,
+      "loss": 0.8012,
+      "step": 5079
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.854319192342318e-05,
+      "loss": 1.0592,
+      "step": 5080
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8542533213096746e-05,
+      "loss": 0.7994,
+      "step": 5081
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.854187436558793e-05,
+      "loss": 1.0268,
+      "step": 5082
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8541215380907317e-05,
+      "loss": 0.8304,
+      "step": 5083
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8540556259065487e-05,
+      "loss": 1.052,
+      "step": 5084
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8539897000073025e-05,
+      "loss": 0.9556,
+      "step": 5085
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8539237603940517e-05,
+      "loss": 0.7984,
+      "step": 5086
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8538578070678556e-05,
+      "loss": 0.8032,
+      "step": 5087
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.853791840029773e-05,
+      "loss": 0.8994,
+      "step": 5088
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8537258592808634e-05,
+      "loss": 0.9151,
+      "step": 5089
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.853659864822186e-05,
+      "loss": 0.9109,
+      "step": 5090
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.853593856654801e-05,
+      "loss": 0.8346,
+      "step": 5091
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8535278347797683e-05,
+      "loss": 0.9618,
+      "step": 5092
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.853461799198148e-05,
+      "loss": 0.8144,
+      "step": 5093
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.853395749911001e-05,
+      "loss": 0.9155,
+      "step": 5094
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8533296869193874e-05,
+      "loss": 0.9651,
+      "step": 5095
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.853263610224368e-05,
+      "loss": 0.7017,
+      "step": 5096
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8531975198270047e-05,
+      "loss": 0.9293,
+      "step": 5097
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.853131415728358e-05,
+      "loss": 0.8808,
+      "step": 5098
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.85306529792949e-05,
+      "loss": 0.9697,
+      "step": 5099
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.852999166431462e-05,
+      "loss": 0.853,
+      "step": 5100
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8529330212353367e-05,
+      "loss": 0.7644,
+      "step": 5101
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.852866862342176e-05,
+      "loss": 0.6987,
+      "step": 5102
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8528006897530415e-05,
+      "loss": 0.8772,
+      "step": 5103
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8527345034689968e-05,
+      "loss": 0.9619,
+      "step": 5104
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8526683034911046e-05,
+      "loss": 0.8425,
+      "step": 5105
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8526020898204278e-05,
+      "loss": 0.8599,
+      "step": 5106
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8525358624580302e-05,
+      "loss": 0.9351,
+      "step": 5107
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8524696214049744e-05,
+      "loss": 0.8863,
+      "step": 5108
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.852403366662325e-05,
+      "loss": 0.9348,
+      "step": 5109
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8523370982311455e-05,
+      "loss": 0.7916,
+      "step": 5110
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8522708161125003e-05,
+      "loss": 0.6917,
+      "step": 5111
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8522045203074536e-05,
+      "loss": 0.9168,
+      "step": 5112
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.85213821081707e-05,
+      "loss": 1.0191,
+      "step": 5113
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8520718876424153e-05,
+      "loss": 0.8736,
+      "step": 5114
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8520055507845535e-05,
+      "loss": 0.8854,
+      "step": 5115
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.85193920024455e-05,
+      "loss": 0.8713,
+      "step": 5116
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8518728360234702e-05,
+      "loss": 0.8814,
+      "step": 5117
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8518064581223803e-05,
+      "loss": 0.9286,
+      "step": 5118
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8517400665423462e-05,
+      "loss": 0.9679,
+      "step": 5119
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.851673661284434e-05,
+      "loss": 0.7211,
+      "step": 5120
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8516072423497097e-05,
+      "loss": 0.8107,
+      "step": 5121
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8515408097392408e-05,
+      "loss": 0.8781,
+      "step": 5122
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8514743634540928e-05,
+      "loss": 1.0151,
+      "step": 5123
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.851407903495334e-05,
+      "loss": 0.8434,
+      "step": 5124
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.851341429864031e-05,
+      "loss": 0.902,
+      "step": 5125
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.851274942561251e-05,
+      "loss": 0.8914,
+      "step": 5126
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.851208441588063e-05,
+      "loss": 0.9215,
+      "step": 5127
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8511419269455335e-05,
+      "loss": 0.8559,
+      "step": 5128
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8510753986347313e-05,
+      "loss": 0.9039,
+      "step": 5129
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8510088566567245e-05,
+      "loss": 1.0275,
+      "step": 5130
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.850942301012582e-05,
+      "loss": 0.9101,
+      "step": 5131
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8508757317033723e-05,
+      "loss": 0.8949,
+      "step": 5132
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8508091487301648e-05,
+      "loss": 0.8656,
+      "step": 5133
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8507425520940282e-05,
+      "loss": 0.9122,
+      "step": 5134
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8506759417960322e-05,
+      "loss": 0.9666,
+      "step": 5135
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8506093178372467e-05,
+      "loss": 1.0234,
+      "step": 5136
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8505426802187417e-05,
+      "loss": 1.0475,
+      "step": 5137
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8504760289415867e-05,
+      "loss": 0.8886,
+      "step": 5138
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8504093640068523e-05,
+      "loss": 0.9123,
+      "step": 5139
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8503426854156095e-05,
+      "loss": 0.9218,
+      "step": 5140
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8502759931689285e-05,
+      "loss": 0.9981,
+      "step": 5141
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8502092872678806e-05,
+      "loss": 0.968,
+      "step": 5142
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8501425677135367e-05,
+      "loss": 0.8402,
+      "step": 5143
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8500758345069685e-05,
+      "loss": 0.9535,
+      "step": 5144
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.850009087649248e-05,
+      "loss": 0.9054,
+      "step": 5145
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8499423271414463e-05,
+      "loss": 0.9186,
+      "step": 5146
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.849875552984636e-05,
+      "loss": 0.8592,
+      "step": 5147
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8498087651798893e-05,
+      "loss": 0.8091,
+      "step": 5148
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8497419637282784e-05,
+      "loss": 0.9661,
+      "step": 5149
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8496751486308766e-05,
+      "loss": 0.9916,
+      "step": 5150
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8496083198887565e-05,
+      "loss": 0.953,
+      "step": 5151
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8495414775029916e-05,
+      "loss": 0.908,
+      "step": 5152
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.849474621474655e-05,
+      "loss": 0.8172,
+      "step": 5153
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8494077518048207e-05,
+      "loss": 0.7352,
+      "step": 5154
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8493408684945617e-05,
+      "loss": 1.0615,
+      "step": 5155
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8492739715449526e-05,
+      "loss": 0.8745,
+      "step": 5156
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8492070609570682e-05,
+      "loss": 0.9314,
+      "step": 5157
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8491401367319825e-05,
+      "loss": 1.0376,
+      "step": 5158
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.84907319887077e-05,
+      "loss": 0.8997,
+      "step": 5159
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.849006247374506e-05,
+      "loss": 0.9072,
+      "step": 5160
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8489392822442657e-05,
+      "loss": 0.9806,
+      "step": 5161
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.848872303481124e-05,
+      "loss": 0.9554,
+      "step": 5162
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8488053110861568e-05,
+      "loss": 0.8277,
+      "step": 5163
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8487383050604403e-05,
+      "loss": 0.9136,
+      "step": 5164
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8486712854050497e-05,
+      "loss": 0.8617,
+      "step": 5165
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8486042521210618e-05,
+      "loss": 0.9174,
+      "step": 5166
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.848537205209553e-05,
+      "loss": 0.8479,
+      "step": 5167
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8484701446716e-05,
+      "loss": 0.8427,
+      "step": 5168
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.84840307050828e-05,
+      "loss": 0.9148,
+      "step": 5169
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8483359827206692e-05,
+      "loss": 0.9053,
+      "step": 5170
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.848268881309846e-05,
+      "loss": 0.8636,
+      "step": 5171
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.848201766276887e-05,
+      "loss": 0.8167,
+      "step": 5172
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.848134637622871e-05,
+      "loss": 0.7128,
+      "step": 5173
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8480674953488752e-05,
+      "loss": 0.9452,
+      "step": 5174
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8480003394559786e-05,
+      "loss": 0.8705,
+      "step": 5175
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8479331699452583e-05,
+      "loss": 0.7937,
+      "step": 5176
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8478659868177943e-05,
+      "loss": 0.8192,
+      "step": 5177
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8477987900746653e-05,
+      "loss": 0.8569,
+      "step": 5178
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8477315797169498e-05,
+      "loss": 0.8614,
+      "step": 5179
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.847664355745727e-05,
+      "loss": 0.8582,
+      "step": 5180
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8475971181620772e-05,
+      "loss": 0.7952,
+      "step": 5181
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8475298669670798e-05,
+      "loss": 0.8506,
+      "step": 5182
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.847462602161815e-05,
+      "loss": 0.8381,
+      "step": 5183
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8473953237473623e-05,
+      "loss": 0.9283,
+      "step": 5184
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8473280317248025e-05,
+      "loss": 0.8434,
+      "step": 5185
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8472607260952168e-05,
+      "loss": 0.8494,
+      "step": 5186
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.847193406859685e-05,
+      "loss": 0.9873,
+      "step": 5187
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8471260740192888e-05,
+      "loss": 0.8791,
+      "step": 5188
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8470587275751095e-05,
+      "loss": 0.8328,
+      "step": 5189
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8469913675282285e-05,
+      "loss": 0.8935,
+      "step": 5190
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.846923993879727e-05,
+      "loss": 0.9251,
+      "step": 5191
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.846856606630688e-05,
+      "loss": 0.8577,
+      "step": 5192
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.846789205782193e-05,
+      "loss": 0.7431,
+      "step": 5193
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.846721791335324e-05,
+      "loss": 0.9275,
+      "step": 5194
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8466543632911645e-05,
+      "loss": 0.818,
+      "step": 5195
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8465869216507965e-05,
+      "loss": 0.8654,
+      "step": 5196
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8465194664153036e-05,
+      "loss": 0.9195,
+      "step": 5197
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8464519975857688e-05,
+      "loss": 0.9394,
+      "step": 5198
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8463845151632756e-05,
+      "loss": 0.6474,
+      "step": 5199
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8463170191489075e-05,
+      "loss": 0.8899,
+      "step": 5200
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8462495095437484e-05,
+      "loss": 0.8895,
+      "step": 5201
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.846181986348883e-05,
+      "loss": 0.8231,
+      "step": 5202
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8461144495653952e-05,
+      "loss": 0.7995,
+      "step": 5203
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8460468991943693e-05,
+      "loss": 0.9269,
+      "step": 5204
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8459793352368908e-05,
+      "loss": 0.9666,
+      "step": 5205
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8459117576940436e-05,
+      "loss": 0.8498,
+      "step": 5206
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.845844166566914e-05,
+      "loss": 0.9374,
+      "step": 5207
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.845776561856587e-05,
+      "loss": 0.8318,
+      "step": 5208
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.845708943564148e-05,
+      "loss": 0.8536,
+      "step": 5209
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8456413116906834e-05,
+      "loss": 0.8625,
+      "step": 5210
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8455736662372787e-05,
+      "loss": 0.8403,
+      "step": 5211
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8455060072050208e-05,
+      "loss": 0.8242,
+      "step": 5212
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8454383345949954e-05,
+      "loss": 0.8113,
+      "step": 5213
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8453706484082903e-05,
+      "loss": 0.9744,
+      "step": 5214
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8453029486459916e-05,
+      "loss": 0.9081,
+      "step": 5215
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8452352353091866e-05,
+      "loss": 1.0096,
+      "step": 5216
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8451675083989632e-05,
+      "loss": 0.9095,
+      "step": 5217
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8450997679164087e-05,
+      "loss": 0.8343,
+      "step": 5218
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8450320138626107e-05,
+      "loss": 0.9575,
+      "step": 5219
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8449642462386574e-05,
+      "loss": 0.9103,
+      "step": 5220
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.844896465045637e-05,
+      "loss": 0.9441,
+      "step": 5221
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8448286702846384e-05,
+      "loss": 0.7536,
+      "step": 5222
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.84476086195675e-05,
+      "loss": 0.9486,
+      "step": 5223
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8446930400630606e-05,
+      "loss": 1.0123,
+      "step": 5224
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8446252046046593e-05,
+      "loss": 0.9313,
+      "step": 5225
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8445573555826355e-05,
+      "loss": 0.8179,
+      "step": 5226
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8444894929980794e-05,
+      "loss": 0.9761,
+      "step": 5227
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8444216168520795e-05,
+      "loss": 0.7647,
+      "step": 5228
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.844353727145727e-05,
+      "loss": 0.9389,
+      "step": 5229
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8442858238801117e-05,
+      "loss": 0.9395,
+      "step": 5230
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.844217907056324e-05,
+      "loss": 0.8728,
+      "step": 5231
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8441499766754543e-05,
+      "loss": 0.7975,
+      "step": 5232
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.844082032738594e-05,
+      "loss": 0.987,
+      "step": 5233
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.844014075246834e-05,
+      "loss": 0.87,
+      "step": 5234
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8439461042012653e-05,
+      "loss": 0.7354,
+      "step": 5235
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.84387811960298e-05,
+      "loss": 0.909,
+      "step": 5236
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8438101214530696e-05,
+      "loss": 0.8365,
+      "step": 5237
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8437421097526257e-05,
+      "loss": 0.8509,
+      "step": 5238
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.843674084502741e-05,
+      "loss": 0.9235,
+      "step": 5239
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8436060457045072e-05,
+      "loss": 0.8116,
+      "step": 5240
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.843537993359018e-05,
+      "loss": 0.9124,
+      "step": 5241
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8434699274673654e-05,
+      "loss": 0.9262,
+      "step": 5242
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8434018480306427e-05,
+      "loss": 0.9392,
+      "step": 5243
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.843333755049943e-05,
+      "loss": 0.7946,
+      "step": 5244
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.84326564852636e-05,
+      "loss": 0.9347,
+      "step": 5245
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8431975284609874e-05,
+      "loss": 0.7867,
+      "step": 5246
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8431293948549194e-05,
+      "loss": 0.8145,
+      "step": 5247
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8430612477092496e-05,
+      "loss": 0.887,
+      "step": 5248
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8429930870250727e-05,
+      "loss": 0.991,
+      "step": 5249
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8429249128034827e-05,
+      "loss": 0.8221,
+      "step": 5250
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.842856725045575e-05,
+      "loss": 0.8538,
+      "step": 5251
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8427885237524446e-05,
+      "loss": 0.9622,
+      "step": 5252
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.842720308925187e-05,
+      "loss": 1.0124,
+      "step": 5253
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8426520805648966e-05,
+      "loss": 0.8395,
+      "step": 5254
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.84258383867267e-05,
+      "loss": 0.9494,
+      "step": 5255
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8425155832496027e-05,
+      "loss": 0.9682,
+      "step": 5256
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.842447314296791e-05,
+      "loss": 0.8553,
+      "step": 5257
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8423790318153307e-05,
+      "loss": 0.8548,
+      "step": 5258
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8423107358063187e-05,
+      "loss": 1.021,
+      "step": 5259
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8422424262708523e-05,
+      "loss": 0.7963,
+      "step": 5260
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8421741032100274e-05,
+      "loss": 0.9045,
+      "step": 5261
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.842105766624942e-05,
+      "loss": 0.8892,
+      "step": 5262
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8420374165166928e-05,
+      "loss": 0.8873,
+      "step": 5263
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8419690528863783e-05,
+      "loss": 0.8514,
+      "step": 5264
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8419006757350956e-05,
+      "loss": 0.8597,
+      "step": 5265
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.841832285063943e-05,
+      "loss": 0.9176,
+      "step": 5266
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.841763880874019e-05,
+      "loss": 0.8534,
+      "step": 5267
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8416954631664216e-05,
+      "loss": 0.8171,
+      "step": 5268
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.84162703194225e-05,
+      "loss": 0.9199,
+      "step": 5269
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8415585872026026e-05,
+      "loss": 0.8572,
+      "step": 5270
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8414901289485793e-05,
+      "loss": 0.8924,
+      "step": 5271
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8414216571812787e-05,
+      "loss": 1.0341,
+      "step": 5272
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8413531719018006e-05,
+      "loss": 0.8315,
+      "step": 5273
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8412846731112447e-05,
+      "loss": 0.8742,
+      "step": 5274
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8412161608107114e-05,
+      "loss": 0.9833,
+      "step": 5275
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8411476350013003e-05,
+      "loss": 0.9041,
+      "step": 5276
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8410790956841126e-05,
+      "loss": 0.8083,
+      "step": 5277
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8410105428602485e-05,
+      "loss": 1.0393,
+      "step": 5278
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8409419765308087e-05,
+      "loss": 0.715,
+      "step": 5279
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.840873396696895e-05,
+      "loss": 0.9138,
+      "step": 5280
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8408048033596076e-05,
+      "loss": 0.9357,
+      "step": 5281
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.840736196520049e-05,
+      "loss": 0.9622,
+      "step": 5282
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8406675761793206e-05,
+      "loss": 1.0215,
+      "step": 5283
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.840598942338524e-05,
+      "loss": 0.8673,
+      "step": 5284
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.840530294998762e-05,
+      "loss": 0.9765,
+      "step": 5285
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8404616341611366e-05,
+      "loss": 0.8456,
+      "step": 5286
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8403929598267507e-05,
+      "loss": 0.9503,
+      "step": 5287
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.840324271996707e-05,
+      "loss": 0.8295,
+      "step": 5288
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.840255570672108e-05,
+      "loss": 0.9872,
+      "step": 5289
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.840186855854058e-05,
+      "loss": 0.8205,
+      "step": 5290
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8401181275436596e-05,
+      "loss": 0.9112,
+      "step": 5291
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.840049385742017e-05,
+      "loss": 0.9479,
+      "step": 5292
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8399806304502333e-05,
+      "loss": 0.941,
+      "step": 5293
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.839911861669414e-05,
+      "loss": 0.6584,
+      "step": 5294
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.839843079400662e-05,
+      "loss": 0.7551,
+      "step": 5295
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.839774283645083e-05,
+      "loss": 0.8462,
+      "step": 5296
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.839705474403781e-05,
+      "loss": 1.0185,
+      "step": 5297
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8396366516778615e-05,
+      "loss": 0.8795,
+      "step": 5298
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8395678154684297e-05,
+      "loss": 1.0013,
+      "step": 5299
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8394989657765904e-05,
+      "loss": 0.9865,
+      "step": 5300
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.83943010260345e-05,
+      "loss": 0.784,
+      "step": 5301
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8393612259501136e-05,
+      "loss": 0.8376,
+      "step": 5302
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8392923358176878e-05,
+      "loss": 0.8794,
+      "step": 5303
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8392234322072792e-05,
+      "loss": 0.9235,
+      "step": 5304
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8391545151199936e-05,
+      "loss": 0.8335,
+      "step": 5305
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.839085584556938e-05,
+      "loss": 0.8549,
+      "step": 5306
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8390166405192192e-05,
+      "loss": 0.9076,
+      "step": 5307
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8389476830079446e-05,
+      "loss": 0.777,
+      "step": 5308
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.838878712024222e-05,
+      "loss": 0.9583,
+      "step": 5309
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.838809727569158e-05,
+      "loss": 0.7659,
+      "step": 5310
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8387407296438606e-05,
+      "loss": 0.9122,
+      "step": 5311
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8386717182494385e-05,
+      "loss": 0.8874,
+      "step": 5312
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.838602693386999e-05,
+      "loss": 0.9219,
+      "step": 5313
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8385336550576515e-05,
+      "loss": 0.9616,
+      "step": 5314
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8384646032625042e-05,
+      "loss": 0.8633,
+      "step": 5315
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.838395538002666e-05,
+      "loss": 0.8454,
+      "step": 5316
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.838326459279246e-05,
+      "loss": 0.9564,
+      "step": 5317
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8382573670933536e-05,
+      "loss": 0.8855,
+      "step": 5318
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8381882614460985e-05,
+      "loss": 0.8702,
+      "step": 5319
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8381191423385897e-05,
+      "loss": 0.845,
+      "step": 5320
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.838050009771938e-05,
+      "loss": 0.9652,
+      "step": 5321
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8379808637472532e-05,
+      "loss": 0.9146,
+      "step": 5322
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.837911704265646e-05,
+      "loss": 0.8642,
+      "step": 5323
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8378425313282266e-05,
+      "loss": 0.7176,
+      "step": 5324
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.837773344936106e-05,
+      "loss": 0.8227,
+      "step": 5325
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8377041450903955e-05,
+      "loss": 0.8092,
+      "step": 5326
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8376349317922056e-05,
+      "loss": 0.8545,
+      "step": 5327
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.837565705042649e-05,
+      "loss": 0.9758,
+      "step": 5328
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.837496464842836e-05,
+      "loss": 0.7578,
+      "step": 5329
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8374272111938797e-05,
+      "loss": 0.8312,
+      "step": 5330
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.837357944096892e-05,
+      "loss": 0.8985,
+      "step": 5331
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8372886635529843e-05,
+      "loss": 0.9464,
+      "step": 5332
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.83721936956327e-05,
+      "loss": 0.9987,
+      "step": 5333
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.837150062128862e-05,
+      "loss": 0.7448,
+      "step": 5334
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8370807412508728e-05,
+      "loss": 0.895,
+      "step": 5335
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8370114069304158e-05,
+      "loss": 0.8181,
+      "step": 5336
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8369420591686048e-05,
+      "loss": 0.8702,
+      "step": 5337
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8368726979665527e-05,
+      "loss": 0.8128,
+      "step": 5338
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.836803323325374e-05,
+      "loss": 0.8526,
+      "step": 5339
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.836733935246182e-05,
+      "loss": 0.8537,
+      "step": 5340
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.836664533730092e-05,
+      "loss": 0.8779,
+      "step": 5341
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.836595118778218e-05,
+      "loss": 0.9201,
+      "step": 5342
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.836525690391674e-05,
+      "loss": 0.915,
+      "step": 5343
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8364562485715763e-05,
+      "loss": 0.737,
+      "step": 5344
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8363867933190396e-05,
+      "loss": 1.0048,
+      "step": 5345
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8363173246351788e-05,
+      "loss": 0.8373,
+      "step": 5346
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.836247842521109e-05,
+      "loss": 0.8155,
+      "step": 5347
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8361783469779476e-05,
+      "loss": 0.8129,
+      "step": 5348
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8361088380068098e-05,
+      "loss": 0.9036,
+      "step": 5349
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8360393156088113e-05,
+      "loss": 0.714,
+      "step": 5350
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8359697797850692e-05,
+      "loss": 0.7653,
+      "step": 5351
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8359002305366996e-05,
+      "loss": 0.9407,
+      "step": 5352
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8358306678648205e-05,
+      "loss": 0.8685,
+      "step": 5353
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8357610917705476e-05,
+      "loss": 0.773,
+      "step": 5354
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.835691502254999e-05,
+      "loss": 0.9806,
+      "step": 5355
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8356218993192922e-05,
+      "loss": 0.8667,
+      "step": 5356
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8355522829645445e-05,
+      "loss": 1.0929,
+      "step": 5357
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8354826531918744e-05,
+      "loss": 0.776,
+      "step": 5358
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8354130100024e-05,
+      "loss": 0.802,
+      "step": 5359
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8353433533972392e-05,
+      "loss": 0.7779,
+      "step": 5360
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8352736833775106e-05,
+      "loss": 0.9467,
+      "step": 5361
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8352039999443336e-05,
+      "loss": 0.9514,
+      "step": 5362
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8351343030988273e-05,
+      "loss": 1.025,
+      "step": 5363
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8350645928421097e-05,
+      "loss": 0.9064,
+      "step": 5364
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8349948691753017e-05,
+      "loss": 0.8728,
+      "step": 5365
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8349251320995224e-05,
+      "loss": 0.8474,
+      "step": 5366
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8348553816158915e-05,
+      "loss": 0.8922,
+      "step": 5367
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8347856177255296e-05,
+      "loss": 0.8559,
+      "step": 5368
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8347158404295566e-05,
+      "loss": 0.9955,
+      "step": 5369
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.834646049729093e-05,
+      "loss": 0.7371,
+      "step": 5370
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8345762456252602e-05,
+      "loss": 0.8077,
+      "step": 5371
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8345064281191784e-05,
+      "loss": 0.8352,
+      "step": 5372
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8344365972119687e-05,
+      "loss": 0.9817,
+      "step": 5373
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.834366752904753e-05,
+      "loss": 0.8441,
+      "step": 5374
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.834296895198653e-05,
+      "loss": 0.8368,
+      "step": 5375
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.83422702409479e-05,
+      "loss": 0.8325,
+      "step": 5376
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.834157139594287e-05,
+      "loss": 0.694,
+      "step": 5377
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.834087241698265e-05,
+      "loss": 0.9036,
+      "step": 5378
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8340173304078472e-05,
+      "loss": 0.9853,
+      "step": 5379
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.833947405724156e-05,
+      "loss": 0.8838,
+      "step": 5380
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8338774676483148e-05,
+      "loss": 0.9476,
+      "step": 5381
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8338075161814462e-05,
+      "loss": 0.9452,
+      "step": 5382
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8337375513246736e-05,
+      "loss": 0.9022,
+      "step": 5383
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.833667573079121e-05,
+      "loss": 0.9285,
+      "step": 5384
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8335975814459113e-05,
+      "loss": 0.8538,
+      "step": 5385
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8335275764261693e-05,
+      "loss": 0.7571,
+      "step": 5386
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.833457558021019e-05,
+      "loss": 0.7994,
+      "step": 5387
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8333875262315844e-05,
+      "loss": 0.8944,
+      "step": 5388
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8333174810589905e-05,
+      "loss": 0.8512,
+      "step": 5389
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8332474225043623e-05,
+      "loss": 0.8507,
+      "step": 5390
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8331773505688243e-05,
+      "loss": 0.8015,
+      "step": 5391
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8331072652535024e-05,
+      "loss": 0.8389,
+      "step": 5392
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8330371665595218e-05,
+      "loss": 0.8246,
+      "step": 5393
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.832967054488008e-05,
+      "loss": 0.9838,
+      "step": 5394
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8328969290400867e-05,
+      "loss": 0.9747,
+      "step": 5395
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8328267902168848e-05,
+      "loss": 0.9656,
+      "step": 5396
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8327566380195283e-05,
+      "loss": 0.9254,
+      "step": 5397
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8326864724491434e-05,
+      "loss": 0.8333,
+      "step": 5398
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8326162935068575e-05,
+      "loss": 0.704,
+      "step": 5399
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.832546101193797e-05,
+      "loss": 0.9063,
+      "step": 5400
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8324758955110895e-05,
+      "loss": 0.7959,
+      "step": 5401
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8324056764598623e-05,
+      "loss": 0.9615,
+      "step": 5402
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8323354440412425e-05,
+      "loss": 1.009,
+      "step": 5403
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.832265198256359e-05,
+      "loss": 0.7408,
+      "step": 5404
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8321949391063394e-05,
+      "loss": 0.9311,
+      "step": 5405
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8321246665923116e-05,
+      "loss": 1.0253,
+      "step": 5406
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8320543807154043e-05,
+      "loss": 1.0454,
+      "step": 5407
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8319840814767463e-05,
+      "loss": 0.8838,
+      "step": 5408
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8319137688774667e-05,
+      "loss": 0.832,
+      "step": 5409
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8318434429186943e-05,
+      "loss": 0.8777,
+      "step": 5410
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8317731036015584e-05,
+      "loss": 0.8656,
+      "step": 5411
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.831702750927189e-05,
+      "loss": 0.9305,
+      "step": 5412
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8316323848967156e-05,
+      "loss": 0.86,
+      "step": 5413
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.831562005511268e-05,
+      "loss": 0.8946,
+      "step": 5414
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8314916127719765e-05,
+      "loss": 0.9013,
+      "step": 5415
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8314212066799716e-05,
+      "loss": 0.7701,
+      "step": 5416
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8313507872363843e-05,
+      "loss": 0.8289,
+      "step": 5417
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.831280354442345e-05,
+      "loss": 0.7719,
+      "step": 5418
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8312099082989846e-05,
+      "loss": 0.8839,
+      "step": 5419
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.831139448807435e-05,
+      "loss": 0.8659,
+      "step": 5420
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.831068975968827e-05,
+      "loss": 0.793,
+      "step": 5421
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.830998489784293e-05,
+      "loss": 0.9055,
+      "step": 5422
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8309279902549642e-05,
+      "loss": 0.9195,
+      "step": 5423
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.830857477381973e-05,
+      "loss": 0.8893,
+      "step": 5424
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8307869511664522e-05,
+      "loss": 0.8591,
+      "step": 5425
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.830716411609534e-05,
+      "loss": 0.9461,
+      "step": 5426
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8306458587123507e-05,
+      "loss": 0.8828,
+      "step": 5427
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8305752924760362e-05,
+      "loss": 0.9121,
+      "step": 5428
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8305047129017233e-05,
+      "loss": 0.8125,
+      "step": 5429
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.830434119990545e-05,
+      "loss": 0.8629,
+      "step": 5430
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.830363513743636e-05,
+      "loss": 0.8838,
+      "step": 5431
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8302928941621286e-05,
+      "loss": 0.8899,
+      "step": 5432
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8302222612471583e-05,
+      "loss": 0.7978,
+      "step": 5433
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.830151614999859e-05,
+      "loss": 0.7519,
+      "step": 5434
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8300809554213644e-05,
+      "loss": 0.8713,
+      "step": 5435
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8300102825128103e-05,
+      "loss": 0.8463,
+      "step": 5436
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.829939596275331e-05,
+      "loss": 0.9388,
+      "step": 5437
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8298688967100615e-05,
+      "loss": 0.7859,
+      "step": 5438
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8297981838181376e-05,
+      "loss": 0.9252,
+      "step": 5439
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.829727457600695e-05,
+      "loss": 0.8584,
+      "step": 5440
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8296567180588685e-05,
+      "loss": 1.0435,
+      "step": 5441
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.829585965193795e-05,
+      "loss": 0.7695,
+      "step": 5442
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8295151990066105e-05,
+      "loss": 0.9437,
+      "step": 5443
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8294444194984514e-05,
+      "loss": 0.982,
+      "step": 5444
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.829373626670454e-05,
+      "loss": 0.7607,
+      "step": 5445
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8293028205237556e-05,
+      "loss": 0.9426,
+      "step": 5446
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.829232001059493e-05,
+      "loss": 0.9032,
+      "step": 5447
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8291611682788034e-05,
+      "loss": 0.9723,
+      "step": 5448
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.829090322182825e-05,
+      "loss": 0.7534,
+      "step": 5449
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8290194627726942e-05,
+      "loss": 0.854,
+      "step": 5450
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8289485900495502e-05,
+      "loss": 0.7664,
+      "step": 5451
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8288777040145303e-05,
+      "loss": 0.9333,
+      "step": 5452
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8288068046687732e-05,
+      "loss": 0.884,
+      "step": 5453
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8287358920134176e-05,
+      "loss": 0.8728,
+      "step": 5454
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8286649660496017e-05,
+      "loss": 0.8006,
+      "step": 5455
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.828594026778465e-05,
+      "loss": 0.8633,
+      "step": 5456
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8285230742011464e-05,
+      "loss": 0.8301,
+      "step": 5457
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8284521083187856e-05,
+      "loss": 0.8279,
+      "step": 5458
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8283811291325218e-05,
+      "loss": 0.9722,
+      "step": 5459
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8283101366434954e-05,
+      "loss": 0.7755,
+      "step": 5460
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.828239130852846e-05,
+      "loss": 0.8516,
+      "step": 5461
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8281681117617138e-05,
+      "loss": 0.9091,
+      "step": 5462
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8280970793712397e-05,
+      "loss": 0.9458,
+      "step": 5463
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8280260336825642e-05,
+      "loss": 1.0197,
+      "step": 5464
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.827954974696828e-05,
+      "loss": 0.7867,
+      "step": 5465
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8278839024151723e-05,
+      "loss": 0.761,
+      "step": 5466
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.827812816838739e-05,
+      "loss": 0.9923,
+      "step": 5467
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8277417179686688e-05,
+      "loss": 0.821,
+      "step": 5468
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.827670605806104e-05,
+      "loss": 1.0052,
+      "step": 5469
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.827599480352186e-05,
+      "loss": 0.8308,
+      "step": 5470
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8275283416080576e-05,
+      "loss": 0.96,
+      "step": 5471
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.827457189574861e-05,
+      "loss": 0.9388,
+      "step": 5472
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.827386024253739e-05,
+      "loss": 0.7875,
+      "step": 5473
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.827314845645834e-05,
+      "loss": 0.8714,
+      "step": 5474
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8272436537522897e-05,
+      "loss": 0.8575,
+      "step": 5475
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8271724485742484e-05,
+      "loss": 0.8136,
+      "step": 5476
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8271012301128542e-05,
+      "loss": 0.8853,
+      "step": 5477
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8270299983692505e-05,
+      "loss": 0.8977,
+      "step": 5478
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.826958753344582e-05,
+      "loss": 0.7661,
+      "step": 5479
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8268874950399914e-05,
+      "loss": 0.7947,
+      "step": 5480
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.826816223456624e-05,
+      "loss": 0.9036,
+      "step": 5481
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8267449385956242e-05,
+      "loss": 0.9632,
+      "step": 5482
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8266736404581368e-05,
+      "loss": 0.9526,
+      "step": 5483
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8266023290453067e-05,
+      "loss": 0.7927,
+      "step": 5484
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8265310043582786e-05,
+      "loss": 0.9204,
+      "step": 5485
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8264596663981985e-05,
+      "loss": 0.8002,
+      "step": 5486
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8263883151662116e-05,
+      "loss": 0.8334,
+      "step": 5487
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8263169506634638e-05,
+      "loss": 0.8031,
+      "step": 5488
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8262455728911015e-05,
+      "loss": 0.8692,
+      "step": 5489
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8261741818502706e-05,
+      "loss": 0.9004,
+      "step": 5490
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8261027775421174e-05,
+      "loss": 0.9548,
+      "step": 5491
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.826031359967789e-05,
+      "loss": 0.8736,
+      "step": 5492
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8259599291284318e-05,
+      "loss": 0.9698,
+      "step": 5493
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8258884850251932e-05,
+      "loss": 0.9712,
+      "step": 5494
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8258170276592207e-05,
+      "loss": 0.9675,
+      "step": 5495
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.825745557031661e-05,
+      "loss": 0.8263,
+      "step": 5496
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8256740731436627e-05,
+      "loss": 0.9771,
+      "step": 5497
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8256025759963735e-05,
+      "loss": 0.8426,
+      "step": 5498
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8255310655909414e-05,
+      "loss": 0.8481,
+      "step": 5499
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8254595419285147e-05,
+      "loss": 1.0103,
+      "step": 5500
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8253880050102422e-05,
+      "loss": 1.0377,
+      "step": 5501
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8253164548372726e-05,
+      "loss": 0.7904,
+      "step": 5502
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.825244891410755e-05,
+      "loss": 0.8484,
+      "step": 5503
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8251733147318383e-05,
+      "loss": 0.9457,
+      "step": 5504
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8251017248016724e-05,
+      "loss": 0.8998,
+      "step": 5505
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8250301216214067e-05,
+      "loss": 1.0007,
+      "step": 5506
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.824958505192191e-05,
+      "loss": 0.9778,
+      "step": 5507
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8248868755151753e-05,
+      "loss": 0.989,
+      "step": 5508
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.82481523259151e-05,
+      "loss": 0.8972,
+      "step": 5509
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8247435764223462e-05,
+      "loss": 0.771,
+      "step": 5510
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8246719070088335e-05,
+      "loss": 0.887,
+      "step": 5511
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8246002243521234e-05,
+      "loss": 0.8519,
+      "step": 5512
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.824528528453367e-05,
+      "loss": 1.0294,
+      "step": 5513
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8244568193137157e-05,
+      "loss": 0.951,
+      "step": 5514
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.824385096934321e-05,
+      "loss": 0.9492,
+      "step": 5515
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8243133613163344e-05,
+      "loss": 0.8516,
+      "step": 5516
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8242416124609087e-05,
+      "loss": 0.9162,
+      "step": 5517
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.824169850369195e-05,
+      "loss": 0.9536,
+      "step": 5518
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8240980750423465e-05,
+      "loss": 0.8419,
+      "step": 5519
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8240262864815152e-05,
+      "loss": 1.0087,
+      "step": 5520
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8239544846878544e-05,
+      "loss": 0.9001,
+      "step": 5521
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8238826696625175e-05,
+      "loss": 0.8419,
+      "step": 5522
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.823810841406657e-05,
+      "loss": 0.788,
+      "step": 5523
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8237389999214267e-05,
+      "loss": 0.9121,
+      "step": 5524
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8236671452079805e-05,
+      "loss": 0.9146,
+      "step": 5525
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8235952772674718e-05,
+      "loss": 0.9264,
+      "step": 5526
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.823523396101055e-05,
+      "loss": 0.903,
+      "step": 5527
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8234515017098845e-05,
+      "loss": 0.7545,
+      "step": 5528
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8233795940951145e-05,
+      "loss": 1.1158,
+      "step": 5529
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8233076732579e-05,
+      "loss": 1.0054,
+      "step": 5530
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.823235739199396e-05,
+      "loss": 0.9423,
+      "step": 5531
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8231637919207576e-05,
+      "loss": 0.8753,
+      "step": 5532
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8230918314231406e-05,
+      "loss": 0.8108,
+      "step": 5533
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8230198577076996e-05,
+      "loss": 1.0208,
+      "step": 5534
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.822947870775591e-05,
+      "loss": 0.8163,
+      "step": 5535
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.822875870627971e-05,
+      "loss": 0.8617,
+      "step": 5536
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8228038572659958e-05,
+      "loss": 0.8539,
+      "step": 5537
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8227318306908216e-05,
+      "loss": 0.8537,
+      "step": 5538
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8226597909036048e-05,
+      "loss": 0.9425,
+      "step": 5539
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.822587737905503e-05,
+      "loss": 1.0191,
+      "step": 5540
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.822515671697673e-05,
+      "loss": 0.8539,
+      "step": 5541
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8224435922812716e-05,
+      "loss": 0.96,
+      "step": 5542
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8223714996574566e-05,
+      "loss": 0.8257,
+      "step": 5543
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.822299393827386e-05,
+      "loss": 0.7123,
+      "step": 5544
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8222272747922178e-05,
+      "loss": 0.8089,
+      "step": 5545
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8221551425531095e-05,
+      "loss": 0.9001,
+      "step": 5546
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.82208299711122e-05,
+      "loss": 0.877,
+      "step": 5547
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8220108384677076e-05,
+      "loss": 0.8503,
+      "step": 5548
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8219386666237314e-05,
+      "loss": 0.718,
+      "step": 5549
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.82186648158045e-05,
+      "loss": 0.739,
+      "step": 5550
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8217942833390227e-05,
+      "loss": 0.877,
+      "step": 5551
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.821722071900609e-05,
+      "loss": 0.8259,
+      "step": 5552
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8216498472663685e-05,
+      "loss": 0.9318,
+      "step": 5553
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8215776094374612e-05,
+      "loss": 0.9725,
+      "step": 5554
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8215053584150467e-05,
+      "loss": 0.8902,
+      "step": 5555
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8214330942002855e-05,
+      "loss": 0.9452,
+      "step": 5556
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8213608167943384e-05,
+      "loss": 0.7071,
+      "step": 5557
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8212885261983657e-05,
+      "loss": 0.7965,
+      "step": 5558
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8212162224135283e-05,
+      "loss": 0.9399,
+      "step": 5559
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.821143905440988e-05,
+      "loss": 0.9052,
+      "step": 5560
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8210715752819047e-05,
+      "loss": 0.8521,
+      "step": 5561
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.820999231937441e-05,
+      "loss": 0.9371,
+      "step": 5562
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8209268754087586e-05,
+      "loss": 0.9294,
+      "step": 5563
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8208545056970193e-05,
+      "loss": 0.8345,
+      "step": 5564
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.820782122803385e-05,
+      "loss": 0.8471,
+      "step": 5565
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8207097267290183e-05,
+      "loss": 0.9406,
+      "step": 5566
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8206373174750824e-05,
+      "loss": 0.9127,
+      "step": 5567
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8205648950427388e-05,
+      "loss": 0.917,
+      "step": 5568
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8204924594331514e-05,
+      "loss": 0.9281,
+      "step": 5569
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8204200106474834e-05,
+      "loss": 0.8272,
+      "step": 5570
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.820347548686898e-05,
+      "loss": 0.8791,
+      "step": 5571
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8202750735525584e-05,
+      "loss": 0.8705,
+      "step": 5572
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8202025852456294e-05,
+      "loss": 0.8554,
+      "step": 5573
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.820130083767275e-05,
+      "loss": 0.9973,
+      "step": 5574
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8200575691186588e-05,
+      "loss": 0.9259,
+      "step": 5575
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8199850413009455e-05,
+      "loss": 0.9353,
+      "step": 5576
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8199125003153e-05,
+      "loss": 0.8815,
+      "step": 5577
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8198399461628873e-05,
+      "loss": 0.9982,
+      "step": 5578
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8197673788448723e-05,
+      "loss": 0.8788,
+      "step": 5579
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8196947983624207e-05,
+      "loss": 0.8131,
+      "step": 5580
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8196222047166973e-05,
+      "loss": 0.8577,
+      "step": 5581
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8195495979088686e-05,
+      "loss": 0.8513,
+      "step": 5582
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8194769779401004e-05,
+      "loss": 0.8706,
+      "step": 5583
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8194043448115584e-05,
+      "loss": 0.8486,
+      "step": 5584
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8193316985244097e-05,
+      "loss": 0.9061,
+      "step": 5585
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8192590390798205e-05,
+      "loss": 0.8753,
+      "step": 5586
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.819186366478958e-05,
+      "loss": 0.8025,
+      "step": 5587
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8191136807229888e-05,
+      "loss": 0.7605,
+      "step": 5588
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.81904098181308e-05,
+      "loss": 0.8271,
+      "step": 5589
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8189682697504e-05,
+      "loss": 0.9228,
+      "step": 5590
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.818895544536115e-05,
+      "loss": 0.9275,
+      "step": 5591
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8188228061713943e-05,
+      "loss": 0.8936,
+      "step": 5592
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8187500546574052e-05,
+      "loss": 0.9379,
+      "step": 5593
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.818677289995316e-05,
+      "loss": 0.8911,
+      "step": 5594
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8186045121862953e-05,
+      "loss": 0.8928,
+      "step": 5595
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.818531721231512e-05,
+      "loss": 0.7984,
+      "step": 5596
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8184589171321353e-05,
+      "loss": 0.8335,
+      "step": 5597
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.818386099889334e-05,
+      "loss": 0.906,
+      "step": 5598
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8183132695042768e-05,
+      "loss": 0.9388,
+      "step": 5599
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8182404259781344e-05,
+      "loss": 0.855,
+      "step": 5600
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8181675693120756e-05,
+      "loss": 0.8205,
+      "step": 5601
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8180946995072714e-05,
+      "loss": 0.7873,
+      "step": 5602
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8180218165648913e-05,
+      "loss": 0.8669,
+      "step": 5603
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8179489204861055e-05,
+      "loss": 0.9107,
+      "step": 5604
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8178760112720854e-05,
+      "loss": 0.8619,
+      "step": 5605
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8178030889240013e-05,
+      "loss": 0.9371,
+      "step": 5606
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8177301534430243e-05,
+      "loss": 0.7844,
+      "step": 5607
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8176572048303258e-05,
+      "loss": 1.0191,
+      "step": 5608
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8175842430870774e-05,
+      "loss": 0.8418,
+      "step": 5609
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.81751126821445e-05,
+      "loss": 0.9763,
+      "step": 5610
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8174382802136167e-05,
+      "loss": 0.9745,
+      "step": 5611
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8173652790857482e-05,
+      "loss": 0.7793,
+      "step": 5612
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.817292264832018e-05,
+      "loss": 0.7962,
+      "step": 5613
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.817219237453598e-05,
+      "loss": 0.8748,
+      "step": 5614
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8171461969516612e-05,
+      "loss": 0.8365,
+      "step": 5615
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8170731433273802e-05,
+      "loss": 0.836,
+      "step": 5616
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8170000765819283e-05,
+      "loss": 1.0556,
+      "step": 5617
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8169269967164792e-05,
+      "loss": 0.8613,
+      "step": 5618
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.816853903732206e-05,
+      "loss": 0.7634,
+      "step": 5619
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8167807976302828e-05,
+      "loss": 0.829,
+      "step": 5620
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.816707678411884e-05,
+      "loss": 0.7827,
+      "step": 5621
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8166345460781826e-05,
+      "loss": 0.9104,
+      "step": 5622
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8165614006303537e-05,
+      "loss": 0.8,
+      "step": 5623
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.816488242069572e-05,
+      "loss": 0.7647,
+      "step": 5624
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8164150703970124e-05,
+      "loss": 0.9343,
+      "step": 5625
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8163418856138496e-05,
+      "loss": 0.9109,
+      "step": 5626
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8162686877212592e-05,
+      "loss": 0.9415,
+      "step": 5627
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8161954767204165e-05,
+      "loss": 0.9775,
+      "step": 5628
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.816122252612497e-05,
+      "loss": 0.9584,
+      "step": 5629
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.816049015398677e-05,
+      "loss": 0.7497,
+      "step": 5630
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8159757650801323e-05,
+      "loss": 1.0499,
+      "step": 5631
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8159025016580394e-05,
+      "loss": 1.0467,
+      "step": 5632
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8158292251335746e-05,
+      "loss": 0.785,
+      "step": 5633
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8157559355079147e-05,
+      "loss": 0.8227,
+      "step": 5634
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8156826327822367e-05,
+      "loss": 0.8291,
+      "step": 5635
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8156093169577177e-05,
+      "loss": 0.9158,
+      "step": 5636
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8155359880355352e-05,
+      "loss": 0.9512,
+      "step": 5637
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.815462646016867e-05,
+      "loss": 0.8706,
+      "step": 5638
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.81538929090289e-05,
+      "loss": 0.6706,
+      "step": 5639
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8153159226947827e-05,
+      "loss": 0.9324,
+      "step": 5640
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8152425413937233e-05,
+      "loss": 0.9678,
+      "step": 5641
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8151691470008906e-05,
+      "loss": 0.8597,
+      "step": 5642
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8150957395174628e-05,
+      "loss": 0.9181,
+      "step": 5643
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8150223189446184e-05,
+      "loss": 0.9095,
+      "step": 5644
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.814948885283537e-05,
+      "loss": 0.9782,
+      "step": 5645
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8148754385353982e-05,
+      "loss": 0.8836,
+      "step": 5646
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8148019787013804e-05,
+      "loss": 0.8871,
+      "step": 5647
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.814728505782664e-05,
+      "loss": 0.7108,
+      "step": 5648
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8146550197804287e-05,
+      "loss": 0.9448,
+      "step": 5649
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8145815206958544e-05,
+      "loss": 0.8982,
+      "step": 5650
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.814508008530122e-05,
+      "loss": 0.8422,
+      "step": 5651
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8144344832844114e-05,
+      "loss": 0.841,
+      "step": 5652
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8143609449599035e-05,
+      "loss": 0.8142,
+      "step": 5653
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8142873935577795e-05,
+      "loss": 0.7435,
+      "step": 5654
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8142138290792202e-05,
+      "loss": 0.8426,
+      "step": 5655
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.814140251525407e-05,
+      "loss": 0.8997,
+      "step": 5656
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8140666608975216e-05,
+      "loss": 0.9858,
+      "step": 5657
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8139930571967455e-05,
+      "loss": 0.9075,
+      "step": 5658
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8139194404242613e-05,
+      "loss": 0.7518,
+      "step": 5659
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8138458105812505e-05,
+      "loss": 0.9516,
+      "step": 5660
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8137721676688958e-05,
+      "loss": 0.8404,
+      "step": 5661
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.81369851168838e-05,
+      "loss": 0.9761,
+      "step": 5662
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8136248426408856e-05,
+      "loss": 0.8005,
+      "step": 5663
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8135511605275954e-05,
+      "loss": 0.9631,
+      "step": 5664
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8134774653496934e-05,
+      "loss": 0.9034,
+      "step": 5665
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8134037571083624e-05,
+      "loss": 0.8452,
+      "step": 5666
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.813330035804787e-05,
+      "loss": 0.8946,
+      "step": 5667
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8132563014401497e-05,
+      "loss": 1.1173,
+      "step": 5668
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8131825540156353e-05,
+      "loss": 0.8129,
+      "step": 5669
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.813108793532428e-05,
+      "loss": 0.8517,
+      "step": 5670
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8130350199917124e-05,
+      "loss": 0.7763,
+      "step": 5671
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8129612333946737e-05,
+      "loss": 0.9764,
+      "step": 5672
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8128874337424957e-05,
+      "loss": 0.8549,
+      "step": 5673
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8128136210363646e-05,
+      "loss": 0.9154,
+      "step": 5674
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.812739795277465e-05,
+      "loss": 0.9482,
+      "step": 5675
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8126659564669827e-05,
+      "loss": 0.7453,
+      "step": 5676
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8125921046061035e-05,
+      "loss": 0.9202,
+      "step": 5677
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8125182396960132e-05,
+      "loss": 0.869,
+      "step": 5678
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.812444361737898e-05,
+      "loss": 0.8129,
+      "step": 5679
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8123704707329447e-05,
+      "loss": 0.7203,
+      "step": 5680
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8122965666823398e-05,
+      "loss": 0.8749,
+      "step": 5681
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8122226495872693e-05,
+      "loss": 0.8445,
+      "step": 5682
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.812148719448921e-05,
+      "loss": 0.7326,
+      "step": 5683
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8120747762684826e-05,
+      "loss": 0.8152,
+      "step": 5684
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.81200082004714e-05,
+      "loss": 0.8052,
+      "step": 5685
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8119268507860823e-05,
+      "loss": 0.8314,
+      "step": 5686
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8118528684864965e-05,
+      "loss": 0.7905,
+      "step": 5687
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.811778873149571e-05,
+      "loss": 0.9162,
+      "step": 5688
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8117048647764937e-05,
+      "loss": 0.938,
+      "step": 5689
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8116308433684538e-05,
+      "loss": 0.864,
+      "step": 5690
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8115568089266396e-05,
+      "loss": 0.8693,
+      "step": 5691
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.81148276145224e-05,
+      "loss": 0.9215,
+      "step": 5692
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.811408700946444e-05,
+      "loss": 0.9928,
+      "step": 5693
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.811334627410441e-05,
+      "loss": 0.8678,
+      "step": 5694
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8112605408454205e-05,
+      "loss": 0.9369,
+      "step": 5695
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8111864412525723e-05,
+      "loss": 0.8345,
+      "step": 5696
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.811112328633086e-05,
+      "loss": 0.8139,
+      "step": 5697
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8110382029881526e-05,
+      "loss": 0.9317,
+      "step": 5698
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.810964064318962e-05,
+      "loss": 0.7788,
+      "step": 5699
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8108899126267045e-05,
+      "loss": 0.8433,
+      "step": 5700
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.810815747912571e-05,
+      "loss": 0.9191,
+      "step": 5701
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8107415701777527e-05,
+      "loss": 0.9232,
+      "step": 5702
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.810667379423441e-05,
+      "loss": 0.81,
+      "step": 5703
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8105931756508263e-05,
+      "loss": 0.7489,
+      "step": 5704
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8105189588611015e-05,
+      "loss": 0.8837,
+      "step": 5705
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8104447290554575e-05,
+      "loss": 0.8914,
+      "step": 5706
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.810370486235087e-05,
+      "loss": 1.0094,
+      "step": 5707
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.810296230401182e-05,
+      "loss": 0.7543,
+      "step": 5708
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8102219615549346e-05,
+      "loss": 0.8586,
+      "step": 5709
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8101476796975377e-05,
+      "loss": 0.819,
+      "step": 5710
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8100733848301845e-05,
+      "loss": 0.8266,
+      "step": 5711
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8099990769540677e-05,
+      "loss": 0.8669,
+      "step": 5712
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8099247560703806e-05,
+      "loss": 0.8334,
+      "step": 5713
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.809850422180317e-05,
+      "loss": 0.7513,
+      "step": 5714
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8097760752850705e-05,
+      "loss": 0.7178,
+      "step": 5715
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.809701715385835e-05,
+      "loss": 0.8998,
+      "step": 5716
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8096273424838046e-05,
+      "loss": 0.9273,
+      "step": 5717
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.809552956580173e-05,
+      "loss": 0.9663,
+      "step": 5718
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8094785576761357e-05,
+      "loss": 0.912,
+      "step": 5719
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.809404145772887e-05,
+      "loss": 0.8372,
+      "step": 5720
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8093297208716223e-05,
+      "loss": 0.8455,
+      "step": 5721
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.809255282973536e-05,
+      "loss": 0.7542,
+      "step": 5722
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8091808320798242e-05,
+      "loss": 0.867,
+      "step": 5723
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8091063681916823e-05,
+      "loss": 0.7627,
+      "step": 5724
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8090318913103057e-05,
+      "loss": 0.7543,
+      "step": 5725
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.808957401436891e-05,
+      "loss": 0.9639,
+      "step": 5726
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8088828985726337e-05,
+      "loss": 0.8043,
+      "step": 5727
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.808808382718731e-05,
+      "loss": 0.917,
+      "step": 5728
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.808733853876379e-05,
+      "loss": 0.9507,
+      "step": 5729
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8086593120467748e-05,
+      "loss": 0.7772,
+      "step": 5730
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8085847572311154e-05,
+      "loss": 0.9755,
+      "step": 5731
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8085101894305975e-05,
+      "loss": 0.8683,
+      "step": 5732
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8084356086464197e-05,
+      "loss": 0.993,
+      "step": 5733
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.808361014879779e-05,
+      "loss": 0.8368,
+      "step": 5734
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.808286408131873e-05,
+      "loss": 0.7906,
+      "step": 5735
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8082117884039004e-05,
+      "loss": 0.9727,
+      "step": 5736
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.808137155697059e-05,
+      "loss": 0.8555,
+      "step": 5737
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8080625100125474e-05,
+      "loss": 0.9111,
+      "step": 5738
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8079878513515648e-05,
+      "loss": 0.9356,
+      "step": 5739
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8079131797153097e-05,
+      "loss": 0.8412,
+      "step": 5740
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8078384951049815e-05,
+      "loss": 0.8653,
+      "step": 5741
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.807763797521779e-05,
+      "loss": 0.9306,
+      "step": 5742
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.807689086966902e-05,
+      "loss": 0.8914,
+      "step": 5743
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.807614363441551e-05,
+      "loss": 0.8866,
+      "step": 5744
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8075396269469247e-05,
+      "loss": 1.0299,
+      "step": 5745
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.807464877484224e-05,
+      "loss": 0.7959,
+      "step": 5746
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8073901150546492e-05,
+      "loss": 0.8733,
+      "step": 5747
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8073153396594012e-05,
+      "loss": 0.7929,
+      "step": 5748
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.80724055129968e-05,
+      "loss": 0.8465,
+      "step": 5749
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8071657499766875e-05,
+      "loss": 0.8275,
+      "step": 5750
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.807090935691624e-05,
+      "loss": 0.7486,
+      "step": 5751
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8070161084456915e-05,
+      "loss": 0.8305,
+      "step": 5752
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.806941268240092e-05,
+      "loss": 0.9909,
+      "step": 5753
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8068664150760267e-05,
+      "loss": 0.8324,
+      "step": 5754
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8067915489546976e-05,
+      "loss": 0.6754,
+      "step": 5755
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8067166698773073e-05,
+      "loss": 0.9021,
+      "step": 5756
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8066417778450584e-05,
+      "loss": 0.7107,
+      "step": 5757
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.806566872859153e-05,
+      "loss": 0.8294,
+      "step": 5758
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8064919549207946e-05,
+      "loss": 0.7889,
+      "step": 5759
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8064170240311857e-05,
+      "loss": 0.865,
+      "step": 5760
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.80634208019153e-05,
+      "loss": 1.0468,
+      "step": 5761
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.806267123403031e-05,
+      "loss": 0.8723,
+      "step": 5762
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.806192153666892e-05,
+      "loss": 0.8867,
+      "step": 5763
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8061171709843174e-05,
+      "loss": 0.7967,
+      "step": 5764
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8060421753565113e-05,
+      "loss": 0.8586,
+      "step": 5765
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.805967166784678e-05,
+      "loss": 0.9077,
+      "step": 5766
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8058921452700216e-05,
+      "loss": 0.7325,
+      "step": 5767
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8058171108137474e-05,
+      "loss": 0.8729,
+      "step": 5768
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.80574206341706e-05,
+      "loss": 0.8432,
+      "step": 5769
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8056670030811647e-05,
+      "loss": 0.9697,
+      "step": 5770
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.805591929807267e-05,
+      "loss": 0.862,
+      "step": 5771
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8055168435965722e-05,
+      "loss": 1.0633,
+      "step": 5772
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8054417444502864e-05,
+      "loss": 1.0114,
+      "step": 5773
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8053666323696155e-05,
+      "loss": 0.8593,
+      "step": 5774
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8052915073557655e-05,
+      "loss": 0.8456,
+      "step": 5775
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8052163694099433e-05,
+      "loss": 0.8419,
+      "step": 5776
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.805141218533355e-05,
+      "loss": 1.0085,
+      "step": 5777
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8050660547272074e-05,
+      "loss": 0.9924,
+      "step": 5778
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.804990877992708e-05,
+      "loss": 0.8772,
+      "step": 5779
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.804915688331064e-05,
+      "loss": 0.7915,
+      "step": 5780
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8048404857434823e-05,
+      "loss": 0.8295,
+      "step": 5781
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8047652702311712e-05,
+      "loss": 0.962,
+      "step": 5782
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.804690041795338e-05,
+      "loss": 0.8501,
+      "step": 5783
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8046148004371914e-05,
+      "loss": 0.7894,
+      "step": 5784
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.804539546157939e-05,
+      "loss": 0.9128,
+      "step": 5785
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.80446427895879e-05,
+      "loss": 0.7714,
+      "step": 5786
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8043889988409524e-05,
+      "loss": 0.7914,
+      "step": 5787
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8043137058056354e-05,
+      "loss": 0.9425,
+      "step": 5788
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8042383998540486e-05,
+      "loss": 0.9445,
+      "step": 5789
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8041630809874004e-05,
+      "loss": 0.7428,
+      "step": 5790
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.804087749206901e-05,
+      "loss": 0.879,
+      "step": 5791
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.80401240451376e-05,
+      "loss": 0.8074,
+      "step": 5792
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.803937046909187e-05,
+      "loss": 0.9828,
+      "step": 5793
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8038616763943925e-05,
+      "loss": 0.9659,
+      "step": 5794
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8037862929705872e-05,
+      "loss": 0.8802,
+      "step": 5795
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8037108966389806e-05,
+      "loss": 0.8551,
+      "step": 5796
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8036354874007846e-05,
+      "loss": 0.8048,
+      "step": 5797
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8035600652572093e-05,
+      "loss": 0.8845,
+      "step": 5798
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8034846302094668e-05,
+      "loss": 1.0123,
+      "step": 5799
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.803409182258767e-05,
+      "loss": 0.8573,
+      "step": 5800
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8033337214063234e-05,
+      "loss": 0.8591,
+      "step": 5801
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8032582476533463e-05,
+      "loss": 0.6971,
+      "step": 5802
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8031827610010485e-05,
+      "loss": 0.799,
+      "step": 5803
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8031072614506426e-05,
+      "loss": 0.9233,
+      "step": 5804
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8030317490033394e-05,
+      "loss": 0.8494,
+      "step": 5805
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.802956223660353e-05,
+      "loss": 0.9018,
+      "step": 5806
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.802880685422896e-05,
+      "loss": 0.8762,
+      "step": 5807
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8028051342921807e-05,
+      "loss": 0.971,
+      "step": 5808
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8027295702694216e-05,
+      "loss": 0.845,
+      "step": 5809
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8026539933558312e-05,
+      "loss": 0.847,
+      "step": 5810
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8025784035526235e-05,
+      "loss": 0.8678,
+      "step": 5811
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.802502800861012e-05,
+      "loss": 0.9229,
+      "step": 5812
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8024271852822116e-05,
+      "loss": 0.9975,
+      "step": 5813
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.802351556817436e-05,
+      "loss": 0.8764,
+      "step": 5814
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8022759154678995e-05,
+      "loss": 0.8201,
+      "step": 5815
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.802200261234817e-05,
+      "loss": 0.8896,
+      "step": 5816
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8021245941194042e-05,
+      "loss": 0.9028,
+      "step": 5817
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.802048914122875e-05,
+      "loss": 0.9615,
+      "step": 5818
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8019732212464453e-05,
+      "loss": 0.9636,
+      "step": 5819
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8018975154913307e-05,
+      "loss": 0.7937,
+      "step": 5820
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8018217968587467e-05,
+      "loss": 0.6991,
+      "step": 5821
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8017460653499097e-05,
+      "loss": 0.9428,
+      "step": 5822
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8016703209660354e-05,
+      "loss": 0.8295,
+      "step": 5823
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.80159456370834e-05,
+      "loss": 0.7973,
+      "step": 5824
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8015187935780405e-05,
+      "loss": 0.8007,
+      "step": 5825
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8014430105763536e-05,
+      "loss": 1.0502,
+      "step": 5826
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8013672147044964e-05,
+      "loss": 0.8077,
+      "step": 5827
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8012914059636855e-05,
+      "loss": 0.9614,
+      "step": 5828
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.801215584355139e-05,
+      "loss": 0.9181,
+      "step": 5829
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8011397498800742e-05,
+      "loss": 0.9119,
+      "step": 5830
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.801063902539709e-05,
+      "loss": 0.8843,
+      "step": 5831
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.800988042335261e-05,
+      "loss": 0.8987,
+      "step": 5832
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.800912169267949e-05,
+      "loss": 0.9489,
+      "step": 5833
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.800836283338991e-05,
+      "loss": 0.9635,
+      "step": 5834
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.800760384549606e-05,
+      "loss": 0.8797,
+      "step": 5835
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8006844729010123e-05,
+      "loss": 0.9572,
+      "step": 5836
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8006085483944295e-05,
+      "loss": 0.9026,
+      "step": 5837
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8005326110310767e-05,
+      "loss": 0.9967,
+      "step": 5838
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.800456660812173e-05,
+      "loss": 0.9542,
+      "step": 5839
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8003806977389385e-05,
+      "loss": 0.8219,
+      "step": 5840
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.800304721812593e-05,
+      "loss": 0.804,
+      "step": 5841
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8002287330343564e-05,
+      "loss": 0.9331,
+      "step": 5842
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.800152731405449e-05,
+      "loss": 0.9073,
+      "step": 5843
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8000767169270917e-05,
+      "loss": 0.9179,
+      "step": 5844
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.800000689600505e-05,
+      "loss": 0.8393,
+      "step": 5845
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7999246494269093e-05,
+      "loss": 0.8657,
+      "step": 5846
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7998485964075258e-05,
+      "loss": 0.8637,
+      "step": 5847
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7997725305435768e-05,
+      "loss": 0.9209,
+      "step": 5848
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7996964518362827e-05,
+      "loss": 0.8572,
+      "step": 5849
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7996203602868657e-05,
+      "loss": 0.8999,
+      "step": 5850
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7995442558965477e-05,
+      "loss": 0.8361,
+      "step": 5851
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.799468138666551e-05,
+      "loss": 0.8445,
+      "step": 5852
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7993920085980975e-05,
+      "loss": 0.8342,
+      "step": 5853
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7993158656924104e-05,
+      "loss": 0.9804,
+      "step": 5854
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7992397099507116e-05,
+      "loss": 0.8834,
+      "step": 5855
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7991635413742254e-05,
+      "loss": 0.7494,
+      "step": 5856
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7990873599641735e-05,
+      "loss": 1.0076,
+      "step": 5857
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.79901116572178e-05,
+      "loss": 0.8293,
+      "step": 5858
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7989349586482683e-05,
+      "loss": 1.011,
+      "step": 5859
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7988587387448625e-05,
+      "loss": 1.0575,
+      "step": 5860
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7987825060127863e-05,
+      "loss": 0.8119,
+      "step": 5861
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7987062604532638e-05,
+      "loss": 0.9841,
+      "step": 5862
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7986300020675198e-05,
+      "loss": 0.8553,
+      "step": 5863
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7985537308567788e-05,
+      "loss": 0.8403,
+      "step": 5864
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7984774468222652e-05,
+      "loss": 0.9651,
+      "step": 5865
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7984011499652046e-05,
+      "loss": 0.9763,
+      "step": 5866
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.798324840286822e-05,
+      "loss": 0.8514,
+      "step": 5867
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7982485177883426e-05,
+      "loss": 0.8768,
+      "step": 5868
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7981721824709924e-05,
+      "loss": 1.006,
+      "step": 5869
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7980958343359972e-05,
+      "loss": 0.8368,
+      "step": 5870
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.798019473384583e-05,
+      "loss": 0.8097,
+      "step": 5871
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.797943099617976e-05,
+      "loss": 0.8924,
+      "step": 5872
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7978667130374025e-05,
+      "loss": 0.876,
+      "step": 5873
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7977903136440895e-05,
+      "loss": 0.8348,
+      "step": 5874
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7977139014392636e-05,
+      "loss": 0.9066,
+      "step": 5875
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7976374764241523e-05,
+      "loss": 0.891,
+      "step": 5876
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7975610385999828e-05,
+      "loss": 0.7698,
+      "step": 5877
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.797484587967982e-05,
+      "loss": 0.8582,
+      "step": 5878
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.797408124529378e-05,
+      "loss": 0.8543,
+      "step": 5879
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.797331648285399e-05,
+      "loss": 0.7264,
+      "step": 5880
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7972551592372726e-05,
+      "loss": 0.7784,
+      "step": 5881
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7971786573862275e-05,
+      "loss": 0.9615,
+      "step": 5882
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7971021427334924e-05,
+      "loss": 0.9846,
+      "step": 5883
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.797025615280295e-05,
+      "loss": 0.816,
+      "step": 5884
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7969490750278655e-05,
+      "loss": 0.8498,
+      "step": 5885
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7968725219774324e-05,
+      "loss": 0.704,
+      "step": 5886
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.796795956130225e-05,
+      "loss": 0.8647,
+      "step": 5887
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.796719377487473e-05,
+      "loss": 0.8068,
+      "step": 5888
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.796642786050406e-05,
+      "loss": 0.8698,
+      "step": 5889
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7965661818202544e-05,
+      "loss": 0.9427,
+      "step": 5890
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7964895647982483e-05,
+      "loss": 0.9308,
+      "step": 5891
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7964129349856173e-05,
+      "loss": 0.9453,
+      "step": 5892
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7963362923835926e-05,
+      "loss": 0.9326,
+      "step": 5893
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7962596369934052e-05,
+      "loss": 0.9002,
+      "step": 5894
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7961829688162855e-05,
+      "loss": 0.9445,
+      "step": 5895
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.796106287853465e-05,
+      "loss": 0.8662,
+      "step": 5896
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7960295941061754e-05,
+      "loss": 0.9184,
+      "step": 5897
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7959528875756478e-05,
+      "loss": 0.8264,
+      "step": 5898
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.795876168263114e-05,
+      "loss": 0.9753,
+      "step": 5899
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7957994361698068e-05,
+      "loss": 0.9158,
+      "step": 5900
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7957226912969576e-05,
+      "loss": 0.8306,
+      "step": 5901
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.795645933645799e-05,
+      "loss": 0.9371,
+      "step": 5902
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7955691632175637e-05,
+      "loss": 0.9201,
+      "step": 5903
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7954923800134843e-05,
+      "loss": 0.9369,
+      "step": 5904
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7954155840347945e-05,
+      "loss": 0.9163,
+      "step": 5905
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.795338775282727e-05,
+      "loss": 0.835,
+      "step": 5906
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.795261953758515e-05,
+      "loss": 0.938,
+      "step": 5907
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.795185119463393e-05,
+      "loss": 0.8839,
+      "step": 5908
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7951082723985944e-05,
+      "loss": 0.8917,
+      "step": 5909
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.795031412565353e-05,
+      "loss": 0.8928,
+      "step": 5910
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7949545399649038e-05,
+      "loss": 0.8799,
+      "step": 5911
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7948776545984804e-05,
+      "loss": 0.8612,
+      "step": 5912
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.794800756467318e-05,
+      "loss": 0.889,
+      "step": 5913
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7947238455726515e-05,
+      "loss": 0.8007,
+      "step": 5914
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7946469219157158e-05,
+      "loss": 0.9597,
+      "step": 5915
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.794569985497746e-05,
+      "loss": 0.7828,
+      "step": 5916
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7944930363199783e-05,
+      "loss": 0.9021,
+      "step": 5917
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7944160743836478e-05,
+      "loss": 0.8306,
+      "step": 5918
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7943390996899907e-05,
+      "loss": 0.8919,
+      "step": 5919
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.794262112240243e-05,
+      "loss": 0.8796,
+      "step": 5920
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.794185112035641e-05,
+      "loss": 0.9822,
+      "step": 5921
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7941080990774213e-05,
+      "loss": 0.8404,
+      "step": 5922
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7940310733668208e-05,
+      "loss": 0.9763,
+      "step": 5923
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.793954034905076e-05,
+      "loss": 0.9882,
+      "step": 5924
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.793876983693424e-05,
+      "loss": 0.9118,
+      "step": 5925
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.793799919733103e-05,
+      "loss": 0.908,
+      "step": 5926
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7937228430253497e-05,
+      "loss": 0.8765,
+      "step": 5927
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7936457535714023e-05,
+      "loss": 0.8454,
+      "step": 5928
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7935686513724985e-05,
+      "loss": 0.741,
+      "step": 5929
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.793491536429876e-05,
+      "loss": 0.8082,
+      "step": 5930
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7934144087447744e-05,
+      "loss": 0.8391,
+      "step": 5931
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7933372683184317e-05,
+      "loss": 0.976,
+      "step": 5932
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7932601151520863e-05,
+      "loss": 0.9126,
+      "step": 5933
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7931829492469773e-05,
+      "loss": 0.856,
+      "step": 5934
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7931057706043443e-05,
+      "loss": 0.8905,
+      "step": 5935
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7930285792254262e-05,
+      "loss": 0.8961,
+      "step": 5936
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.792951375111463e-05,
+      "loss": 0.7297,
+      "step": 5937
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7928741582636944e-05,
+      "loss": 0.9066,
+      "step": 5938
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7927969286833603e-05,
+      "loss": 0.8661,
+      "step": 5939
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.792719686371701e-05,
+      "loss": 0.8659,
+      "step": 5940
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7926424313299568e-05,
+      "loss": 0.8855,
+      "step": 5941
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7925651635593682e-05,
+      "loss": 1.0185,
+      "step": 5942
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7924878830611765e-05,
+      "loss": 0.7452,
+      "step": 5943
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7924105898366224e-05,
+      "loss": 0.7624,
+      "step": 5944
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7923332838869473e-05,
+      "loss": 0.8429,
+      "step": 5945
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.792255965213392e-05,
+      "loss": 0.7557,
+      "step": 5946
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7921786338171992e-05,
+      "loss": 0.8713,
+      "step": 5947
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.79210128969961e-05,
+      "loss": 0.9655,
+      "step": 5948
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7920239328618665e-05,
+      "loss": 0.817,
+      "step": 5949
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7919465633052114e-05,
+      "loss": 0.7679,
+      "step": 5950
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7918691810308865e-05,
+      "loss": 0.9425,
+      "step": 5951
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.791791786040135e-05,
+      "loss": 0.9122,
+      "step": 5952
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7917143783341995e-05,
+      "loss": 0.8438,
+      "step": 5953
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7916369579143235e-05,
+      "loss": 0.9208,
+      "step": 5954
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7915595247817495e-05,
+      "loss": 0.9174,
+      "step": 5955
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7914820789377215e-05,
+      "loss": 0.8173,
+      "step": 5956
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7914046203834834e-05,
+      "loss": 1.0192,
+      "step": 5957
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7913271491202782e-05,
+      "loss": 0.9921,
+      "step": 5958
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7912496651493512e-05,
+      "loss": 0.8723,
+      "step": 5959
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.791172168471946e-05,
+      "loss": 0.9591,
+      "step": 5960
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7910946590893068e-05,
+      "loss": 0.8969,
+      "step": 5961
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7910171370026788e-05,
+      "loss": 0.8794,
+      "step": 5962
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7909396022133067e-05,
+      "loss": 0.8958,
+      "step": 5963
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.790862054722436e-05,
+      "loss": 0.9492,
+      "step": 5964
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7907844945313115e-05,
+      "loss": 0.7985,
+      "step": 5965
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.790706921641179e-05,
+      "loss": 0.9463,
+      "step": 5966
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.790629336053284e-05,
+      "loss": 0.8525,
+      "step": 5967
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7905517377688725e-05,
+      "loss": 0.7132,
+      "step": 5968
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7904741267891914e-05,
+      "loss": 0.8968,
+      "step": 5969
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.790396503115486e-05,
+      "loss": 0.8397,
+      "step": 5970
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7903188667490025e-05,
+      "loss": 0.9813,
+      "step": 5971
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7902412176909888e-05,
+      "loss": 0.8032,
+      "step": 5972
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7901635559426915e-05,
+      "loss": 0.8925,
+      "step": 5973
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7900858815053576e-05,
+      "loss": 1.0159,
+      "step": 5974
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7900081943802345e-05,
+      "loss": 0.8539,
+      "step": 5975
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7899304945685693e-05,
+      "loss": 0.9226,
+      "step": 5976
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7898527820716107e-05,
+      "loss": 0.9034,
+      "step": 5977
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.789775056890606e-05,
+      "loss": 0.8685,
+      "step": 5978
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7896973190268036e-05,
+      "loss": 0.8737,
+      "step": 5979
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7896195684814516e-05,
+      "loss": 0.9777,
+      "step": 5980
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.789541805255799e-05,
+      "loss": 0.7898,
+      "step": 5981
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7894640293510942e-05,
+      "loss": 0.8114,
+      "step": 5982
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7893862407685866e-05,
+      "loss": 0.8254,
+      "step": 5983
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7893084395095248e-05,
+      "loss": 0.7454,
+      "step": 5984
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7892306255751584e-05,
+      "loss": 0.817,
+      "step": 5985
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7891527989667377e-05,
+      "loss": 1.0377,
+      "step": 5986
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7890749596855114e-05,
+      "loss": 0.9592,
+      "step": 5987
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7889971077327302e-05,
+      "loss": 0.8684,
+      "step": 5988
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7889192431096442e-05,
+      "loss": 0.8235,
+      "step": 5989
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7888413658175038e-05,
+      "loss": 0.7651,
+      "step": 5990
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.788763475857559e-05,
+      "loss": 0.9283,
+      "step": 5991
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.788685573231062e-05,
+      "loss": 1.036,
+      "step": 5992
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7886076579392622e-05,
+      "loss": 0.8477,
+      "step": 5993
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.788529729983412e-05,
+      "loss": 0.8129,
+      "step": 5994
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7884517893647624e-05,
+      "loss": 0.7812,
+      "step": 5995
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7883738360845648e-05,
+      "loss": 0.9653,
+      "step": 5996
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7882958701440716e-05,
+      "loss": 0.8091,
+      "step": 5997
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.788217891544534e-05,
+      "loss": 0.9633,
+      "step": 5998
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7881399002872057e-05,
+      "loss": 0.9886,
+      "step": 5999
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7880618963733374e-05,
+      "loss": 0.9717,
+      "step": 6000
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7879838798041827e-05,
+      "loss": 0.7033,
+      "step": 6001
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7879058505809944e-05,
+      "loss": 0.7852,
+      "step": 6002
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7878278087050255e-05,
+      "loss": 0.893,
+      "step": 6003
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7877497541775288e-05,
+      "loss": 0.9355,
+      "step": 6004
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7876716869997584e-05,
+      "loss": 0.9413,
+      "step": 6005
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7875936071729682e-05,
+      "loss": 0.7853,
+      "step": 6006
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7875155146984108e-05,
+      "loss": 0.92,
+      "step": 6007
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7874374095773414e-05,
+      "loss": 0.9073,
+      "step": 6008
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.787359291811014e-05,
+      "loss": 0.8333,
+      "step": 6009
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7872811614006827e-05,
+      "loss": 0.8567,
+      "step": 6010
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.787203018347603e-05,
+      "loss": 0.8698,
+      "step": 6011
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7871248626530285e-05,
+      "loss": 0.825,
+      "step": 6012
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7870466943182156e-05,
+      "loss": 0.8505,
+      "step": 6013
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.786968513344419e-05,
+      "loss": 0.9351,
+      "step": 6014
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7868903197328938e-05,
+      "loss": 0.8315,
+      "step": 6015
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7868121134848967e-05,
+      "loss": 0.9183,
+      "step": 6016
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7867338946016826e-05,
+      "loss": 0.9031,
+      "step": 6017
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7866556630845076e-05,
+      "loss": 0.9977,
+      "step": 6018
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.786577418934629e-05,
+      "loss": 0.8531,
+      "step": 6019
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7864991621533025e-05,
+      "loss": 0.7414,
+      "step": 6020
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.786420892741785e-05,
+      "loss": 0.8089,
+      "step": 6021
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7863426107013333e-05,
+      "loss": 0.8746,
+      "step": 6022
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7862643160332046e-05,
+      "loss": 1.0104,
+      "step": 6023
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7861860087386563e-05,
+      "loss": 0.8843,
+      "step": 6024
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.786107688818946e-05,
+      "loss": 0.9591,
+      "step": 6025
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.786029356275331e-05,
+      "loss": 0.8194,
+      "step": 6026
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7859510111090697e-05,
+      "loss": 0.8629,
+      "step": 6027
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.78587265332142e-05,
+      "loss": 0.7741,
+      "step": 6028
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7857942829136404e-05,
+      "loss": 0.7749,
+      "step": 6029
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.785715899886989e-05,
+      "loss": 0.8148,
+      "step": 6030
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7856375042427246e-05,
+      "loss": 0.8741,
+      "step": 6031
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7855590959821068e-05,
+      "loss": 0.8005,
+      "step": 6032
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.785480675106394e-05,
+      "loss": 0.8875,
+      "step": 6033
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.785402241616846e-05,
+      "loss": 0.9127,
+      "step": 6034
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7853237955147218e-05,
+      "loss": 0.9379,
+      "step": 6035
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7852453368012817e-05,
+      "loss": 0.7617,
+      "step": 6036
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7851668654777857e-05,
+      "loss": 0.8377,
+      "step": 6037
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7850883815454935e-05,
+      "loss": 0.8072,
+      "step": 6038
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.785009885005666e-05,
+      "loss": 0.8872,
+      "step": 6039
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.784931375859563e-05,
+      "loss": 0.8631,
+      "step": 6040
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7848528541084457e-05,
+      "loss": 0.9953,
+      "step": 6041
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.784774319753575e-05,
+      "loss": 0.9489,
+      "step": 6042
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7846957727962124e-05,
+      "loss": 0.7815,
+      "step": 6043
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7846172132376188e-05,
+      "loss": 0.7392,
+      "step": 6044
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7845386410790558e-05,
+      "loss": 0.7514,
+      "step": 6045
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7844600563217857e-05,
+      "loss": 0.7682,
+      "step": 6046
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7843814589670696e-05,
+      "loss": 0.8775,
+      "step": 6047
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7843028490161705e-05,
+      "loss": 0.8448,
+      "step": 6048
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7842242264703503e-05,
+      "loss": 0.9228,
+      "step": 6049
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7841455913308717e-05,
+      "loss": 0.8417,
+      "step": 6050
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7840669435989974e-05,
+      "loss": 0.9192,
+      "step": 6051
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7839882832759906e-05,
+      "loss": 0.8139,
+      "step": 6052
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7839096103631143e-05,
+      "loss": 0.921,
+      "step": 6053
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7838309248616323e-05,
+      "loss": 0.887,
+      "step": 6054
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7837522267728077e-05,
+      "loss": 1.0333,
+      "step": 6055
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.783673516097904e-05,
+      "loss": 0.7354,
+      "step": 6056
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7835947928381858e-05,
+      "loss": 0.9439,
+      "step": 6057
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7835160569949174e-05,
+      "loss": 0.7655,
+      "step": 6058
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7834373085693628e-05,
+      "loss": 0.8979,
+      "step": 6059
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7833585475627865e-05,
+      "loss": 0.8318,
+      "step": 6060
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7832797739764537e-05,
+      "loss": 0.9763,
+      "step": 6061
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7832009878116294e-05,
+      "loss": 1.0151,
+      "step": 6062
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7831221890695785e-05,
+      "loss": 0.8754,
+      "step": 6063
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7830433777515664e-05,
+      "loss": 0.8285,
+      "step": 6064
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7829645538588592e-05,
+      "loss": 0.9464,
+      "step": 6065
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.782885717392722e-05,
+      "loss": 0.7957,
+      "step": 6066
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7828068683544217e-05,
+      "loss": 0.7817,
+      "step": 6067
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7827280067452232e-05,
+      "loss": 0.9468,
+      "step": 6068
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7826491325663943e-05,
+      "loss": 0.9536,
+      "step": 6069
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.782570245819201e-05,
+      "loss": 0.8235,
+      "step": 6070
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.78249134650491e-05,
+      "loss": 0.8407,
+      "step": 6071
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7824124346247885e-05,
+      "loss": 0.8248,
+      "step": 6072
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.782333510180104e-05,
+      "loss": 0.833,
+      "step": 6073
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7822545731721237e-05,
+      "loss": 0.8257,
+      "step": 6074
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.782175623602115e-05,
+      "loss": 0.7363,
+      "step": 6075
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7820966614713455e-05,
+      "loss": 0.9637,
+      "step": 6076
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7820176867810842e-05,
+      "loss": 0.9692,
+      "step": 6077
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7819386995325986e-05,
+      "loss": 0.9719,
+      "step": 6078
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7818596997271572e-05,
+      "loss": 0.913,
+      "step": 6079
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.781780687366029e-05,
+      "loss": 0.8268,
+      "step": 6080
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.781701662450482e-05,
+      "loss": 0.9483,
+      "step": 6081
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7816226249817865e-05,
+      "loss": 0.8028,
+      "step": 6082
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7815435749612108e-05,
+      "loss": 0.9447,
+      "step": 6083
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7814645123900246e-05,
+      "loss": 0.9834,
+      "step": 6084
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7813854372694978e-05,
+      "loss": 0.8555,
+      "step": 6085
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7813063496008995e-05,
+      "loss": 0.8932,
+      "step": 6086
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7812272493855007e-05,
+      "loss": 0.9396,
+      "step": 6087
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7811481366245708e-05,
+      "loss": 0.6705,
+      "step": 6088
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7810690113193812e-05,
+      "loss": 0.9325,
+      "step": 6089
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7809898734712016e-05,
+      "loss": 0.8391,
+      "step": 6090
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7809107230813034e-05,
+      "loss": 0.9538,
+      "step": 6091
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7808315601509576e-05,
+      "loss": 0.8755,
+      "step": 6092
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7807523846814353e-05,
+      "loss": 0.622,
+      "step": 6093
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.780673196674008e-05,
+      "loss": 0.884,
+      "step": 6094
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7805939961299472e-05,
+      "loss": 0.8299,
+      "step": 6095
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7805147830505253e-05,
+      "loss": 0.8914,
+      "step": 6096
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.780435557437014e-05,
+      "loss": 0.8853,
+      "step": 6097
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7803563192906853e-05,
+      "loss": 0.8401,
+      "step": 6098
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7802770686128122e-05,
+      "loss": 0.8069,
+      "step": 6099
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7801978054046675e-05,
+      "loss": 0.8378,
+      "step": 6100
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.780118529667523e-05,
+      "loss": 0.8738,
+      "step": 6101
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7800392414026524e-05,
+      "loss": 0.8103,
+      "step": 6102
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7799599406113296e-05,
+      "loss": 0.9892,
+      "step": 6103
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7798806272948272e-05,
+      "loss": 0.8757,
+      "step": 6104
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7798013014544193e-05,
+      "loss": 0.822,
+      "step": 6105
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7797219630913797e-05,
+      "loss": 0.8635,
+      "step": 6106
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.779642612206982e-05,
+      "loss": 0.9444,
+      "step": 6107
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7795632488025016e-05,
+      "loss": 0.7961,
+      "step": 6108
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7794838728792117e-05,
+      "loss": 0.9366,
+      "step": 6109
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.779404484438388e-05,
+      "loss": 0.8813,
+      "step": 6110
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.779325083481304e-05,
+      "loss": 0.8,
+      "step": 6111
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7792456700092368e-05,
+      "loss": 1.0347,
+      "step": 6112
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7791662440234597e-05,
+      "loss": 0.8087,
+      "step": 6113
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7790868055252496e-05,
+      "loss": 0.8495,
+      "step": 6114
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7790073545158818e-05,
+      "loss": 0.8455,
+      "step": 6115
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7789278909966315e-05,
+      "loss": 0.9185,
+      "step": 6116
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7788484149687758e-05,
+      "loss": 0.7719,
+      "step": 6117
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7787689264335902e-05,
+      "loss": 0.8645,
+      "step": 6118
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7786894253923518e-05,
+      "loss": 1.0627,
+      "step": 6119
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7786099118463368e-05,
+      "loss": 0.8707,
+      "step": 6120
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7785303857968223e-05,
+      "loss": 0.8446,
+      "step": 6121
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7784508472450852e-05,
+      "loss": 0.852,
+      "step": 6122
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7783712961924032e-05,
+      "loss": 0.7636,
+      "step": 6123
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7782917326400533e-05,
+      "loss": 0.8824,
+      "step": 6124
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7782121565893135e-05,
+      "loss": 0.8362,
+      "step": 6125
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7781325680414614e-05,
+      "loss": 0.7684,
+      "step": 6126
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7780529669977758e-05,
+      "loss": 0.6338,
+      "step": 6127
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7779733534595343e-05,
+      "loss": 0.9312,
+      "step": 6128
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7778937274280156e-05,
+      "loss": 0.8989,
+      "step": 6129
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7778140889044983e-05,
+      "loss": 0.9028,
+      "step": 6130
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7777344378902615e-05,
+      "loss": 0.9562,
+      "step": 6131
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.777654774386584e-05,
+      "loss": 0.8345,
+      "step": 6132
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7775750983947455e-05,
+      "loss": 0.8444,
+      "step": 6133
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7774954099160252e-05,
+      "loss": 0.7309,
+      "step": 6134
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.777415708951703e-05,
+      "loss": 0.9251,
+      "step": 6135
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7773359955030583e-05,
+      "loss": 0.8618,
+      "step": 6136
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.777256269571372e-05,
+      "loss": 0.7202,
+      "step": 6137
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7771765311579236e-05,
+      "loss": 0.8358,
+      "step": 6138
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7770967802639943e-05,
+      "loss": 0.843,
+      "step": 6139
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7770170168908642e-05,
+      "loss": 0.8756,
+      "step": 6140
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7769372410398145e-05,
+      "loss": 0.8271,
+      "step": 6141
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.776857452712126e-05,
+      "loss": 1.0882,
+      "step": 6142
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.776777651909081e-05,
+      "loss": 0.8822,
+      "step": 6143
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.77669783863196e-05,
+      "loss": 0.899,
+      "step": 6144
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7766180128820445e-05,
+      "loss": 0.9516,
+      "step": 6145
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7765381746606172e-05,
+      "loss": 0.7816,
+      "step": 6146
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7764583239689602e-05,
+      "loss": 0.8664,
+      "step": 6147
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.776378460808355e-05,
+      "loss": 0.8082,
+      "step": 6148
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7762985851800846e-05,
+      "loss": 0.8772,
+      "step": 6149
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.776218697085432e-05,
+      "loss": 0.9579,
+      "step": 6150
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7761387965256792e-05,
+      "loss": 0.8617,
+      "step": 6151
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7760588835021106e-05,
+      "loss": 0.767,
+      "step": 6152
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.775978958016008e-05,
+      "loss": 0.9619,
+      "step": 6153
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7758990200686564e-05,
+      "loss": 0.7941,
+      "step": 6154
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7758190696613385e-05,
+      "loss": 0.9832,
+      "step": 6155
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7757391067953387e-05,
+      "loss": 0.9429,
+      "step": 6156
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7756591314719405e-05,
+      "loss": 0.9933,
+      "step": 6157
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.775579143692429e-05,
+      "loss": 0.7716,
+      "step": 6158
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7754991434580883e-05,
+      "loss": 0.8481,
+      "step": 6159
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7754191307702027e-05,
+      "loss": 0.8498,
+      "step": 6160
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.775339105630058e-05,
+      "loss": 0.9358,
+      "step": 6161
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7752590680389382e-05,
+      "loss": 0.8865,
+      "step": 6162
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.77517901799813e-05,
+      "loss": 0.8238,
+      "step": 6163
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7750989555089174e-05,
+      "loss": 0.92,
+      "step": 6164
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7750188805725873e-05,
+      "loss": 0.9494,
+      "step": 6165
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.774938793190425e-05,
+      "loss": 0.9809,
+      "step": 6166
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.774858693363717e-05,
+      "loss": 0.7141,
+      "step": 6167
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7747785810937487e-05,
+      "loss": 0.7248,
+      "step": 6168
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7746984563818077e-05,
+      "loss": 0.9637,
+      "step": 6169
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7746183192291803e-05,
+      "loss": 0.9241,
+      "step": 6170
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.774538169637153e-05,
+      "loss": 0.7564,
+      "step": 6171
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7744580076070133e-05,
+      "loss": 0.8157,
+      "step": 6172
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7743778331400486e-05,
+      "loss": 0.8323,
+      "step": 6173
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7742976462375466e-05,
+      "loss": 0.8649,
+      "step": 6174
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.774217446900794e-05,
+      "loss": 1.0452,
+      "step": 6175
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7741372351310797e-05,
+      "loss": 0.9022,
+      "step": 6176
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7740570109296915e-05,
+      "loss": 0.8434,
+      "step": 6177
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7739767742979174e-05,
+      "loss": 0.8884,
+      "step": 6178
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7738965252370463e-05,
+      "loss": 0.8934,
+      "step": 6179
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.773816263748367e-05,
+      "loss": 0.8332,
+      "step": 6180
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7737359898331677e-05,
+      "loss": 0.9076,
+      "step": 6181
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.773655703492738e-05,
+      "loss": 0.8753,
+      "step": 6182
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7735754047283674e-05,
+      "loss": 0.8439,
+      "step": 6183
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.773495093541345e-05,
+      "loss": 0.9236,
+      "step": 6184
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7734147699329607e-05,
+      "loss": 0.7484,
+      "step": 6185
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.773334433904504e-05,
+      "loss": 0.9651,
+      "step": 6186
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7732540854572658e-05,
+      "loss": 0.8643,
+      "step": 6187
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7731737245925357e-05,
+      "loss": 0.8692,
+      "step": 6188
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7730933513116046e-05,
+      "loss": 0.8447,
+      "step": 6189
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.773012965615763e-05,
+      "loss": 0.7969,
+      "step": 6190
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7729325675063017e-05,
+      "loss": 0.7894,
+      "step": 6191
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.772852156984512e-05,
+      "loss": 0.7934,
+      "step": 6192
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.772771734051685e-05,
+      "loss": 0.8301,
+      "step": 6193
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7726912987091123e-05,
+      "loss": 0.9198,
+      "step": 6194
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7726108509580857e-05,
+      "loss": 1.0765,
+      "step": 6195
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7725303907998966e-05,
+      "loss": 0.8485,
+      "step": 6196
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.772449918235838e-05,
+      "loss": 1.0083,
+      "step": 6197
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7723694332672012e-05,
+      "loss": 0.8007,
+      "step": 6198
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7722889358952793e-05,
+      "loss": 0.899,
+      "step": 6199
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.772208426121365e-05,
+      "loss": 0.9084,
+      "step": 6200
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.772127903946751e-05,
+      "loss": 1.056,
+      "step": 6201
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.77204736937273e-05,
+      "loss": 0.8647,
+      "step": 6202
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.771966822400596e-05,
+      "loss": 0.8788,
+      "step": 6203
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7718862630316417e-05,
+      "loss": 0.8329,
+      "step": 6204
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.771805691267162e-05,
+      "loss": 0.9108,
+      "step": 6205
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7717251071084492e-05,
+      "loss": 0.931,
+      "step": 6206
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.771644510556799e-05,
+      "loss": 0.8235,
+      "step": 6207
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7715639016135043e-05,
+      "loss": 0.7935,
+      "step": 6208
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7714832802798606e-05,
+      "loss": 0.7698,
+      "step": 6209
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.771402646557162e-05,
+      "loss": 0.8156,
+      "step": 6210
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7713220004467035e-05,
+      "loss": 0.8961,
+      "step": 6211
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.77124134194978e-05,
+      "loss": 0.7671,
+      "step": 6212
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.771160671067687e-05,
+      "loss": 0.8716,
+      "step": 6213
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7710799878017203e-05,
+      "loss": 0.8632,
+      "step": 6214
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7709992921531748e-05,
+      "loss": 0.8695,
+      "step": 6215
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.770918584123347e-05,
+      "loss": 0.8221,
+      "step": 6216
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7708378637135325e-05,
+      "loss": 0.9635,
+      "step": 6217
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7707571309250283e-05,
+      "loss": 0.8647,
+      "step": 6218
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.77067638575913e-05,
+      "loss": 0.8757,
+      "step": 6219
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.770595628217135e-05,
+      "loss": 0.8053,
+      "step": 6220
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7705148583003395e-05,
+      "loss": 0.8139,
+      "step": 6221
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.770434076010041e-05,
+      "loss": 0.9577,
+      "step": 6222
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7703532813475367e-05,
+      "loss": 0.905,
+      "step": 6223
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7702724743141234e-05,
+      "loss": 0.878,
+      "step": 6224
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7701916549111003e-05,
+      "loss": 0.81,
+      "step": 6225
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.770110823139764e-05,
+      "loss": 0.8452,
+      "step": 6226
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7700299790014126e-05,
+      "loss": 0.8976,
+      "step": 6227
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.769949122497345e-05,
+      "loss": 0.8803,
+      "step": 6228
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.769868253628859e-05,
+      "loss": 1.062,
+      "step": 6229
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7697873723972536e-05,
+      "loss": 0.8994,
+      "step": 6230
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7697064788038277e-05,
+      "loss": 0.8315,
+      "step": 6231
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.76962557284988e-05,
+      "loss": 0.8421,
+      "step": 6232
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7695446545367106e-05,
+      "loss": 0.9088,
+      "step": 6233
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7694637238656178e-05,
+      "loss": 0.7726,
+      "step": 6234
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.769382780837902e-05,
+      "loss": 0.937,
+      "step": 6235
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7693018254548628e-05,
+      "loss": 0.7918,
+      "step": 6236
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7692208577178003e-05,
+      "loss": 0.8247,
+      "step": 6237
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.769139877628015e-05,
+      "loss": 0.8292,
+      "step": 6238
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7690588851868066e-05,
+      "loss": 0.8914,
+      "step": 6239
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7689778803954764e-05,
+      "loss": 0.8678,
+      "step": 6240
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7688968632553246e-05,
+      "loss": 0.8711,
+      "step": 6241
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7688158337676528e-05,
+      "loss": 1.0231,
+      "step": 6242
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7687347919337626e-05,
+      "loss": 0.8513,
+      "step": 6243
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7686537377549546e-05,
+      "loss": 0.8902,
+      "step": 6244
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7685726712325307e-05,
+      "loss": 0.9292,
+      "step": 6245
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7684915923677928e-05,
+      "loss": 0.8967,
+      "step": 6246
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.768410501162043e-05,
+      "loss": 0.8112,
+      "step": 6247
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7683293976165835e-05,
+      "loss": 0.748,
+      "step": 6248
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7682482817327163e-05,
+      "loss": 0.9346,
+      "step": 6249
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7681671535117443e-05,
+      "loss": 0.9834,
+      "step": 6250
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7680860129549708e-05,
+      "loss": 0.8703,
+      "step": 6251
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.768004860063698e-05,
+      "loss": 0.9524,
+      "step": 6252
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.76792369483923e-05,
+      "loss": 0.9611,
+      "step": 6253
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7678425172828696e-05,
+      "loss": 0.9087,
+      "step": 6254
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7677613273959204e-05,
+      "loss": 0.8146,
+      "step": 6255
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7676801251796863e-05,
+      "loss": 0.8656,
+      "step": 6256
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7675989106354712e-05,
+      "loss": 0.8695,
+      "step": 6257
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.76751768376458e-05,
+      "loss": 0.7901,
+      "step": 6258
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.767436444568316e-05,
+      "loss": 0.8717,
+      "step": 6259
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7673551930479847e-05,
+      "loss": 0.8473,
+      "step": 6260
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7672739292048904e-05,
+      "loss": 0.9933,
+      "step": 6261
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7671926530403382e-05,
+      "loss": 0.9778,
+      "step": 6262
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.767111364555633e-05,
+      "loss": 0.7988,
+      "step": 6263
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.767030063752081e-05,
+      "loss": 0.9978,
+      "step": 6264
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7669487506309874e-05,
+      "loss": 0.7691,
+      "step": 6265
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.766867425193658e-05,
+      "loss": 0.9051,
+      "step": 6266
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.766786087441398e-05,
+      "loss": 0.7842,
+      "step": 6267
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.766704737375515e-05,
+      "loss": 0.8797,
+      "step": 6268
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7666233749973143e-05,
+      "loss": 0.944,
+      "step": 6269
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7665420003081028e-05,
+      "loss": 0.885,
+      "step": 6270
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7664606133091875e-05,
+      "loss": 0.9355,
+      "step": 6271
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7663792140018747e-05,
+      "loss": 0.7917,
+      "step": 6272
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7662978023874725e-05,
+      "loss": 0.8058,
+      "step": 6273
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7662163784672878e-05,
+      "loss": 0.7885,
+      "step": 6274
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7661349422426282e-05,
+      "loss": 0.8924,
+      "step": 6275
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7660534937148014e-05,
+      "loss": 0.9503,
+      "step": 6276
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7659720328851154e-05,
+      "loss": 0.8574,
+      "step": 6277
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7658905597548783e-05,
+      "loss": 1.0328,
+      "step": 6278
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7658090743253985e-05,
+      "loss": 0.8849,
+      "step": 6279
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7657275765979846e-05,
+      "loss": 0.7445,
+      "step": 6280
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7656460665739453e-05,
+      "loss": 0.8246,
+      "step": 6281
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.76556454425459e-05,
+      "loss": 0.777,
+      "step": 6282
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7654830096412266e-05,
+      "loss": 0.9017,
+      "step": 6283
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.765401462735166e-05,
+      "loss": 0.8976,
+      "step": 6284
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7653199035377167e-05,
+      "loss": 0.8062,
+      "step": 6285
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.765238332050189e-05,
+      "loss": 0.7723,
+      "step": 6286
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7651567482738925e-05,
+      "loss": 0.7995,
+      "step": 6287
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.765075152210137e-05,
+      "loss": 0.9677,
+      "step": 6288
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7649935438602338e-05,
+      "loss": 0.8745,
+      "step": 6289
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7649119232254925e-05,
+      "loss": 0.8011,
+      "step": 6290
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7648302903072244e-05,
+      "loss": 0.8451,
+      "step": 6291
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.76474864510674e-05,
+      "loss": 0.8159,
+      "step": 6292
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.764666987625351e-05,
+      "loss": 0.9125,
+      "step": 6293
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.764585317864368e-05,
+      "loss": 0.9502,
+      "step": 6294
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7645036358251033e-05,
+      "loss": 0.9094,
+      "step": 6295
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.764421941508868e-05,
+      "loss": 0.7981,
+      "step": 6296
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.764340234916974e-05,
+      "loss": 0.8486,
+      "step": 6297
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7642585160507338e-05,
+      "loss": 0.7347,
+      "step": 6298
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.764176784911459e-05,
+      "loss": 0.9212,
+      "step": 6299
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7640950415004635e-05,
+      "loss": 0.9316,
+      "step": 6300
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7640132858190585e-05,
+      "loss": 0.7632,
+      "step": 6301
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7639315178685575e-05,
+      "loss": 0.8384,
+      "step": 6302
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7638497376502736e-05,
+      "loss": 0.7404,
+      "step": 6303
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7637679451655204e-05,
+      "loss": 0.9065,
+      "step": 6304
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7636861404156106e-05,
+      "loss": 0.7612,
+      "step": 6305
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7636043234018587e-05,
+      "loss": 0.8593,
+      "step": 6306
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.763522494125578e-05,
+      "loss": 0.8326,
+      "step": 6307
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.763440652588083e-05,
+      "loss": 0.7472,
+      "step": 6308
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7633587987906874e-05,
+      "loss": 0.8907,
+      "step": 6309
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7632769327347063e-05,
+      "loss": 0.8283,
+      "step": 6310
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.763195054421454e-05,
+      "loss": 0.8868,
+      "step": 6311
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7631131638522458e-05,
+      "loss": 0.9708,
+      "step": 6312
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7630312610283958e-05,
+      "loss": 0.8258,
+      "step": 6313
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7629493459512205e-05,
+      "loss": 0.7756,
+      "step": 6314
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7628674186220344e-05,
+      "loss": 0.9242,
+      "step": 6315
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7627854790421536e-05,
+      "loss": 0.9417,
+      "step": 6316
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7627035272128936e-05,
+      "loss": 0.8027,
+      "step": 6317
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.762621563135571e-05,
+      "loss": 0.8368,
+      "step": 6318
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7625395868115017e-05,
+      "loss": 0.9018,
+      "step": 6319
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.762457598242002e-05,
+      "loss": 0.8992,
+      "step": 6320
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7623755974283885e-05,
+      "loss": 0.7901,
+      "step": 6321
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7622935843719784e-05,
+      "loss": 0.9393,
+      "step": 6322
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7622115590740886e-05,
+      "loss": 0.8457,
+      "step": 6323
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7621295215360363e-05,
+      "loss": 0.8973,
+      "step": 6324
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7620474717591385e-05,
+      "loss": 0.8925,
+      "step": 6325
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.761965409744714e-05,
+      "loss": 0.8153,
+      "step": 6326
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.761883335494079e-05,
+      "loss": 0.9896,
+      "step": 6327
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7618012490085527e-05,
+      "loss": 0.9154,
+      "step": 6328
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.761719150289453e-05,
+      "loss": 0.93,
+      "step": 6329
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.761637039338098e-05,
+      "loss": 0.8266,
+      "step": 6330
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.761554916155807e-05,
+      "loss": 0.7862,
+      "step": 6331
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7614727807438975e-05,
+      "loss": 0.8854,
+      "step": 6332
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.76139063310369e-05,
+      "loss": 0.7106,
+      "step": 6333
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7613084732365027e-05,
+      "loss": 0.8116,
+      "step": 6334
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7612263011436554e-05,
+      "loss": 0.7535,
+      "step": 6335
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7611441168264675e-05,
+      "loss": 0.9052,
+      "step": 6336
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.761061920286259e-05,
+      "loss": 0.8441,
+      "step": 6337
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7609797115243495e-05,
+      "loss": 0.8534,
+      "step": 6338
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7608974905420594e-05,
+      "loss": 0.7671,
+      "step": 6339
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7608152573407093e-05,
+      "loss": 0.9259,
+      "step": 6340
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7607330119216196e-05,
+      "loss": 0.8857,
+      "step": 6341
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7606507542861106e-05,
+      "loss": 0.9051,
+      "step": 6342
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.760568484435504e-05,
+      "loss": 0.9337,
+      "step": 6343
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7604862023711204e-05,
+      "loss": 0.7263,
+      "step": 6344
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7604039080942814e-05,
+      "loss": 0.7764,
+      "step": 6345
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7603216016063084e-05,
+      "loss": 0.9094,
+      "step": 6346
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.760239282908523e-05,
+      "loss": 0.7762,
+      "step": 6347
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7601569520022477e-05,
+      "loss": 0.7776,
+      "step": 6348
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7600746088888042e-05,
+      "loss": 0.8434,
+      "step": 6349
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.759992253569515e-05,
+      "loss": 0.828,
+      "step": 6350
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7599098860457024e-05,
+      "loss": 0.9702,
+      "step": 6351
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7598275063186895e-05,
+      "loss": 1.0483,
+      "step": 6352
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7597451143897987e-05,
+      "loss": 0.8165,
+      "step": 6353
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7596627102603534e-05,
+      "loss": 0.8258,
+      "step": 6354
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7595802939316767e-05,
+      "loss": 0.7372,
+      "step": 6355
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7594978654050927e-05,
+      "loss": 0.8134,
+      "step": 6356
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.759415424681924e-05,
+      "loss": 0.8547,
+      "step": 6357
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.759332971763496e-05,
+      "loss": 0.8518,
+      "step": 6358
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7592505066511316e-05,
+      "loss": 0.8347,
+      "step": 6359
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7591680293461553e-05,
+      "loss": 0.7285,
+      "step": 6360
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.759085539849892e-05,
+      "loss": 0.8523,
+      "step": 6361
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.759003038163666e-05,
+      "loss": 0.8078,
+      "step": 6362
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7589205242888027e-05,
+      "loss": 0.7876,
+      "step": 6363
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7588379982266262e-05,
+      "loss": 0.8304,
+      "step": 6364
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7587554599784625e-05,
+      "loss": 0.8755,
+      "step": 6365
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7586729095456366e-05,
+      "loss": 0.8628,
+      "step": 6366
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.758590346929475e-05,
+      "loss": 0.9367,
+      "step": 6367
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7585077721313026e-05,
+      "loss": 0.83,
+      "step": 6368
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.758425185152446e-05,
+      "loss": 0.8348,
+      "step": 6369
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7583425859942312e-05,
+      "loss": 0.7549,
+      "step": 6370
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7582599746579848e-05,
+      "loss": 0.8206,
+      "step": 6371
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7581773511450336e-05,
+      "loss": 0.8649,
+      "step": 6372
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7580947154567038e-05,
+      "loss": 0.8479,
+      "step": 6373
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.758012067594323e-05,
+      "loss": 0.7898,
+      "step": 6374
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.757929407559218e-05,
+      "loss": 0.8925,
+      "step": 6375
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.757846735352717e-05,
+      "loss": 0.8084,
+      "step": 6376
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7577640509761465e-05,
+      "loss": 0.8447,
+      "step": 6377
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.757681354430835e-05,
+      "loss": 0.8006,
+      "step": 6378
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7575986457181104e-05,
+      "loss": 0.8731,
+      "step": 6379
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.757515924839301e-05,
+      "loss": 0.8904,
+      "step": 6380
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.757433191795735e-05,
+      "loss": 0.8527,
+      "step": 6381
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.757350446588741e-05,
+      "loss": 1.0616,
+      "step": 6382
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.757267689219648e-05,
+      "loss": 0.8301,
+      "step": 6383
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7571849196897844e-05,
+      "loss": 0.8737,
+      "step": 6384
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7571021380004804e-05,
+      "loss": 0.8772,
+      "step": 6385
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7570193441530646e-05,
+      "loss": 1.0247,
+      "step": 6386
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7569365381488666e-05,
+      "loss": 0.9662,
+      "step": 6387
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7568537199892163e-05,
+      "loss": 1.0219,
+      "step": 6388
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7567708896754435e-05,
+      "loss": 1.0375,
+      "step": 6389
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7566880472088787e-05,
+      "loss": 0.7348,
+      "step": 6390
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7566051925908517e-05,
+      "loss": 0.787,
+      "step": 6391
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.756522325822694e-05,
+      "loss": 0.9779,
+      "step": 6392
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7564394469057357e-05,
+      "loss": 1.0249,
+      "step": 6393
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.756356555841307e-05,
+      "loss": 0.877,
+      "step": 6394
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7562736526307404e-05,
+      "loss": 0.907,
+      "step": 6395
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7561907372753665e-05,
+      "loss": 0.868,
+      "step": 6396
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7561078097765166e-05,
+      "loss": 0.9119,
+      "step": 6397
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.756024870135523e-05,
+      "loss": 0.6857,
+      "step": 6398
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7559419183537175e-05,
+      "loss": 0.8522,
+      "step": 6399
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.755858954432432e-05,
+      "loss": 0.7161,
+      "step": 6400
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7557759783729985e-05,
+      "loss": 0.9418,
+      "step": 6401
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7556929901767502e-05,
+      "loss": 0.9383,
+      "step": 6402
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7556099898450192e-05,
+      "loss": 0.9125,
+      "step": 6403
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7555269773791387e-05,
+      "loss": 0.9035,
+      "step": 6404
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7554439527804413e-05,
+      "loss": 0.8384,
+      "step": 6405
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7553609160502612e-05,
+      "loss": 0.9069,
+      "step": 6406
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.755277867189931e-05,
+      "loss": 0.8981,
+      "step": 6407
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7551948062007845e-05,
+      "loss": 0.876,
+      "step": 6408
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.755111733084156e-05,
+      "loss": 0.8803,
+      "step": 6409
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7550286478413792e-05,
+      "loss": 0.8779,
+      "step": 6410
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7549455504737886e-05,
+      "loss": 0.9439,
+      "step": 6411
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7548624409827184e-05,
+      "loss": 0.7596,
+      "step": 6412
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.754779319369503e-05,
+      "loss": 0.6736,
+      "step": 6413
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.754696185635478e-05,
+      "loss": 0.8707,
+      "step": 6414
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7546130397819778e-05,
+      "loss": 0.7487,
+      "step": 6415
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7545298818103375e-05,
+      "loss": 0.8091,
+      "step": 6416
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.754446711721893e-05,
+      "loss": 0.8757,
+      "step": 6417
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7543635295179796e-05,
+      "loss": 0.7845,
+      "step": 6418
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.754280335199933e-05,
+      "loss": 0.8442,
+      "step": 6419
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7541971287690895e-05,
+      "loss": 0.8859,
+      "step": 6420
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7541139102267855e-05,
+      "loss": 0.8763,
+      "step": 6421
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7540306795743566e-05,
+      "loss": 0.8722,
+      "step": 6422
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.75394743681314e-05,
+      "loss": 0.9532,
+      "step": 6423
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7538641819444722e-05,
+      "loss": 0.741,
+      "step": 6424
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7537809149696907e-05,
+      "loss": 0.7563,
+      "step": 6425
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.753697635890132e-05,
+      "loss": 0.9966,
+      "step": 6426
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7536143447071336e-05,
+      "loss": 0.8259,
+      "step": 6427
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7535310414220333e-05,
+      "loss": 0.7713,
+      "step": 6428
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7534477260361685e-05,
+      "loss": 0.7171,
+      "step": 6429
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7533643985508775e-05,
+      "loss": 0.9332,
+      "step": 6430
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7532810589674983e-05,
+      "loss": 0.9349,
+      "step": 6431
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.753197707287369e-05,
+      "loss": 0.9372,
+      "step": 6432
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7531143435118284e-05,
+      "loss": 0.8874,
+      "step": 6433
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7530309676422157e-05,
+      "loss": 0.7612,
+      "step": 6434
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7529475796798686e-05,
+      "loss": 0.806,
+      "step": 6435
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7528641796261273e-05,
+      "loss": 0.7799,
+      "step": 6436
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7527807674823303e-05,
+      "loss": 0.7712,
+      "step": 6437
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7526973432498177e-05,
+      "loss": 0.8873,
+      "step": 6438
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7526139069299287e-05,
+      "loss": 0.9522,
+      "step": 6439
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7525304585240034e-05,
+      "loss": 0.9675,
+      "step": 6440
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7524469980333822e-05,
+      "loss": 0.8546,
+      "step": 6441
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.752363525459405e-05,
+      "loss": 0.838,
+      "step": 6442
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7522800408034125e-05,
+      "loss": 1.0231,
+      "step": 6443
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7521965440667448e-05,
+      "loss": 0.8622,
+      "step": 6444
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7521130352507434e-05,
+      "loss": 0.9,
+      "step": 6445
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7520295143567492e-05,
+      "loss": 0.7831,
+      "step": 6446
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.751945981386103e-05,
+      "loss": 0.8458,
+      "step": 6447
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.751862436340147e-05,
+      "loss": 0.8737,
+      "step": 6448
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7517788792202225e-05,
+      "loss": 0.8325,
+      "step": 6449
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7516953100276707e-05,
+      "loss": 0.8444,
+      "step": 6450
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7516117287638345e-05,
+      "loss": 0.8649,
+      "step": 6451
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7515281354300556e-05,
+      "loss": 0.9856,
+      "step": 6452
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7514445300276767e-05,
+      "loss": 0.9266,
+      "step": 6453
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.75136091255804e-05,
+      "loss": 0.9182,
+      "step": 6454
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.751277283022489e-05,
+      "loss": 1.0257,
+      "step": 6455
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7511936414223658e-05,
+      "loss": 0.8534,
+      "step": 6456
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.751109987759014e-05,
+      "loss": 1.0306,
+      "step": 6457
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7510263220337772e-05,
+      "loss": 0.8925,
+      "step": 6458
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.750942644247999e-05,
+      "loss": 0.9113,
+      "step": 6459
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7508589544030224e-05,
+      "loss": 0.8253,
+      "step": 6460
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7507752525001924e-05,
+      "loss": 0.8935,
+      "step": 6461
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7506915385408523e-05,
+      "loss": 1.0227,
+      "step": 6462
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.750607812526347e-05,
+      "loss": 0.848,
+      "step": 6463
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.75052407445802e-05,
+      "loss": 0.8022,
+      "step": 6464
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.750440324337218e-05,
+      "loss": 0.8049,
+      "step": 6465
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.750356562165284e-05,
+      "loss": 0.9393,
+      "step": 6466
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.750272787943564e-05,
+      "loss": 0.8766,
+      "step": 6467
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7501890016734032e-05,
+      "loss": 0.8048,
+      "step": 6468
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.750105203356147e-05,
+      "loss": 0.7247,
+      "step": 6469
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7500213929931412e-05,
+      "loss": 0.9863,
+      "step": 6470
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7499375705857318e-05,
+      "loss": 0.8594,
+      "step": 6471
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7498537361352644e-05,
+      "loss": 0.8194,
+      "step": 6472
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.749769889643086e-05,
+      "loss": 0.7872,
+      "step": 6473
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7496860311105426e-05,
+      "loss": 0.8494,
+      "step": 6474
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7496021605389806e-05,
+      "loss": 0.9662,
+      "step": 6475
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.749518277929748e-05,
+      "loss": 0.8627,
+      "step": 6476
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7494343832841903e-05,
+      "loss": 0.8111,
+      "step": 6477
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.749350476603656e-05,
+      "loss": 0.8217,
+      "step": 6478
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7492665578894917e-05,
+      "loss": 0.9236,
+      "step": 6479
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7491826271430453e-05,
+      "loss": 0.7414,
+      "step": 6480
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7490986843656648e-05,
+      "loss": 0.8061,
+      "step": 6481
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7490147295586983e-05,
+      "loss": 0.847,
+      "step": 6482
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7489307627234936e-05,
+      "loss": 0.8755,
+      "step": 6483
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7488467838613995e-05,
+      "loss": 0.8593,
+      "step": 6484
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.748762792973764e-05,
+      "loss": 1.0348,
+      "step": 6485
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7486787900619366e-05,
+      "loss": 0.9322,
+      "step": 6486
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7485947751272657e-05,
+      "loss": 0.9197,
+      "step": 6487
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7485107481711014e-05,
+      "loss": 0.9091,
+      "step": 6488
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.748426709194792e-05,
+      "loss": 0.8265,
+      "step": 6489
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7483426581996874e-05,
+      "loss": 0.8474,
+      "step": 6490
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7482585951871374e-05,
+      "loss": 1.0154,
+      "step": 6491
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.748174520158492e-05,
+      "loss": 0.9473,
+      "step": 6492
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7480904331151015e-05,
+      "loss": 0.85,
+      "step": 6493
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.748006334058316e-05,
+      "loss": 0.8691,
+      "step": 6494
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7479222229894863e-05,
+      "loss": 0.9238,
+      "step": 6495
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7478380999099624e-05,
+      "loss": 0.846,
+      "step": 6496
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.747753964821096e-05,
+      "loss": 0.7673,
+      "step": 6497
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.747669817724238e-05,
+      "loss": 0.9006,
+      "step": 6498
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7475856586207396e-05,
+      "loss": 0.8682,
+      "step": 6499
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.747501487511952e-05,
+      "loss": 0.9152,
+      "step": 6500
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7474173043992278e-05,
+      "loss": 0.8591,
+      "step": 6501
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7473331092839177e-05,
+      "loss": 0.9085,
+      "step": 6502
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7472489021673743e-05,
+      "loss": 0.7171,
+      "step": 6503
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7471646830509503e-05,
+      "loss": 0.8587,
+      "step": 6504
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7470804519359973e-05,
+      "loss": 0.9854,
+      "step": 6505
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7469962088238688e-05,
+      "loss": 0.8978,
+      "step": 6506
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7469119537159168e-05,
+      "loss": 0.8913,
+      "step": 6507
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.746827686613495e-05,
+      "loss": 0.881,
+      "step": 6508
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7467434075179562e-05,
+      "loss": 0.7763,
+      "step": 6509
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7466591164306545e-05,
+      "loss": 0.7424,
+      "step": 6510
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7465748133529424e-05,
+      "loss": 0.8593,
+      "step": 6511
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7464904982861745e-05,
+      "loss": 0.7648,
+      "step": 6512
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7464061712317047e-05,
+      "loss": 0.7831,
+      "step": 6513
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.746321832190887e-05,
+      "loss": 0.9102,
+      "step": 6514
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.746237481165076e-05,
+      "loss": 0.8041,
+      "step": 6515
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.746153118155626e-05,
+      "loss": 0.7823,
+      "step": 6516
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.746068743163892e-05,
+      "loss": 0.9559,
+      "step": 6517
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.745984356191229e-05,
+      "loss": 1.0325,
+      "step": 6518
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7458999572389918e-05,
+      "loss": 0.8338,
+      "step": 6519
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.745815546308536e-05,
+      "loss": 0.9147,
+      "step": 6520
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7457311234012167e-05,
+      "loss": 0.8589,
+      "step": 6521
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7456466885183906e-05,
+      "loss": 0.7893,
+      "step": 6522
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7455622416614127e-05,
+      "loss": 0.8372,
+      "step": 6523
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7454777828316397e-05,
+      "loss": 1.0099,
+      "step": 6524
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7453933120304275e-05,
+      "loss": 0.9283,
+      "step": 6525
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7453088292591327e-05,
+      "loss": 0.8631,
+      "step": 6526
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.745224334519112e-05,
+      "loss": 0.774,
+      "step": 6527
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7451398278117225e-05,
+      "loss": 1.0012,
+      "step": 6528
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.745055309138321e-05,
+      "loss": 0.792,
+      "step": 6529
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7449707785002647e-05,
+      "loss": 0.8846,
+      "step": 6530
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7448862358989115e-05,
+      "loss": 0.8679,
+      "step": 6531
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.744801681335618e-05,
+      "loss": 0.7984,
+      "step": 6532
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7447171148117435e-05,
+      "loss": 0.7889,
+      "step": 6533
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7446325363286452e-05,
+      "loss": 0.9186,
+      "step": 6534
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7445479458876816e-05,
+      "loss": 0.8475,
+      "step": 6535
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7444633434902107e-05,
+      "loss": 0.7963,
+      "step": 6536
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.744378729137591e-05,
+      "loss": 0.8552,
+      "step": 6537
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7442941028311823e-05,
+      "loss": 0.8213,
+      "step": 6538
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7442094645723425e-05,
+      "loss": 0.9297,
+      "step": 6539
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7441248143624316e-05,
+      "loss": 0.9438,
+      "step": 6540
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.744040152202809e-05,
+      "loss": 0.8549,
+      "step": 6541
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.743955478094833e-05,
+      "loss": 0.8632,
+      "step": 6542
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7438707920398647e-05,
+      "loss": 0.8844,
+      "step": 6543
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7437860940392636e-05,
+      "loss": 0.8887,
+      "step": 6544
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7437013840943897e-05,
+      "loss": 0.6939,
+      "step": 6545
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7436166622066036e-05,
+      "loss": 0.8496,
+      "step": 6546
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7435319283772657e-05,
+      "loss": 0.9378,
+      "step": 6547
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7434471826077367e-05,
+      "loss": 0.8124,
+      "step": 6548
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7433624248993776e-05,
+      "loss": 0.7866,
+      "step": 6549
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7432776552535493e-05,
+      "loss": 0.8313,
+      "step": 6550
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7431928736716133e-05,
+      "loss": 0.9055,
+      "step": 6551
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7431080801549313e-05,
+      "loss": 0.8724,
+      "step": 6552
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.743023274704864e-05,
+      "loss": 0.8035,
+      "step": 6553
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7429384573227747e-05,
+      "loss": 0.8678,
+      "step": 6554
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7428536280100243e-05,
+      "loss": 0.8193,
+      "step": 6555
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7427687867679755e-05,
+      "loss": 0.8918,
+      "step": 6556
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7426839335979912e-05,
+      "loss": 0.7768,
+      "step": 6557
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.742599068501433e-05,
+      "loss": 0.8847,
+      "step": 6558
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7425141914796646e-05,
+      "loss": 0.9215,
+      "step": 6559
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7424293025340488e-05,
+      "loss": 0.8801,
+      "step": 6560
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.742344401665948e-05,
+      "loss": 0.8529,
+      "step": 6561
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.742259488876727e-05,
+      "loss": 0.9556,
+      "step": 6562
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7421745641677486e-05,
+      "loss": 0.9192,
+      "step": 6563
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7420896275403768e-05,
+      "loss": 0.9153,
+      "step": 6564
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7420046789959754e-05,
+      "loss": 0.8466,
+      "step": 6565
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7419197185359086e-05,
+      "loss": 0.7992,
+      "step": 6566
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7418347461615407e-05,
+      "loss": 0.8531,
+      "step": 6567
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7417497618742364e-05,
+      "loss": 0.8044,
+      "step": 6568
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7416647656753603e-05,
+      "loss": 0.9004,
+      "step": 6569
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7415797575662777e-05,
+      "loss": 0.9176,
+      "step": 6570
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.741494737548353e-05,
+      "loss": 0.9555,
+      "step": 6571
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7414097056229525e-05,
+      "loss": 0.837,
+      "step": 6572
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7413246617914408e-05,
+      "loss": 0.8328,
+      "step": 6573
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7412396060551843e-05,
+      "loss": 0.7152,
+      "step": 6574
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.741154538415548e-05,
+      "loss": 0.8762,
+      "step": 6575
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.741069458873899e-05,
+      "loss": 0.8349,
+      "step": 6576
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7409843674316026e-05,
+      "loss": 0.9191,
+      "step": 6577
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7408992640900263e-05,
+      "loss": 0.9217,
+      "step": 6578
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.740814148850536e-05,
+      "loss": 0.9808,
+      "step": 6579
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7407290217144988e-05,
+      "loss": 0.7409,
+      "step": 6580
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7406438826832818e-05,
+      "loss": 0.8451,
+      "step": 6581
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.740558731758252e-05,
+      "loss": 0.9275,
+      "step": 6582
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7404735689407768e-05,
+      "loss": 0.7988,
+      "step": 6583
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.740388394232224e-05,
+      "loss": 0.8117,
+      "step": 6584
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7403032076339617e-05,
+      "loss": 1.0942,
+      "step": 6585
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7402180091473574e-05,
+      "loss": 0.7382,
+      "step": 6586
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.740132798773779e-05,
+      "loss": 0.8967,
+      "step": 6587
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7400475765145958e-05,
+      "loss": 0.8686,
+      "step": 6588
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7399623423711757e-05,
+      "loss": 1.0736,
+      "step": 6589
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7398770963448872e-05,
+      "loss": 1.0455,
+      "step": 6590
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7397918384371003e-05,
+      "loss": 0.9588,
+      "step": 6591
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.739706568649183e-05,
+      "loss": 0.9222,
+      "step": 6592
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7396212869825053e-05,
+      "loss": 0.8313,
+      "step": 6593
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7395359934384366e-05,
+      "loss": 1.0006,
+      "step": 6594
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7394506880183463e-05,
+      "loss": 1.0377,
+      "step": 6595
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7393653707236045e-05,
+      "loss": 0.8944,
+      "step": 6596
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7392800415555818e-05,
+      "loss": 0.8684,
+      "step": 6597
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7391947005156476e-05,
+      "loss": 0.8598,
+      "step": 6598
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7391093476051728e-05,
+      "loss": 0.7694,
+      "step": 6599
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7390239828255282e-05,
+      "loss": 0.8699,
+      "step": 6600
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7389386061780843e-05,
+      "loss": 0.8998,
+      "step": 6601
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7388532176642127e-05,
+      "loss": 0.8206,
+      "step": 6602
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7387678172852837e-05,
+      "loss": 0.8251,
+      "step": 6603
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7386824050426697e-05,
+      "loss": 0.9122,
+      "step": 6604
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7385969809377418e-05,
+      "loss": 0.8564,
+      "step": 6605
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7385115449718718e-05,
+      "loss": 0.8014,
+      "step": 6606
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.738426097146432e-05,
+      "loss": 0.8509,
+      "step": 6607
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.738340637462794e-05,
+      "loss": 0.8773,
+      "step": 6608
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.738255165922331e-05,
+      "loss": 0.7255,
+      "step": 6609
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.738169682526415e-05,
+      "loss": 0.9016,
+      "step": 6610
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7380841872764185e-05,
+      "loss": 0.7568,
+      "step": 6611
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7379986801737154e-05,
+      "loss": 0.8919,
+      "step": 6612
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.737913161219678e-05,
+      "loss": 0.9027,
+      "step": 6613
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.73782763041568e-05,
+      "loss": 0.8914,
+      "step": 6614
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7377420877630947e-05,
+      "loss": 0.9171,
+      "step": 6615
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.737656533263296e-05,
+      "loss": 0.779,
+      "step": 6616
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7375709669176572e-05,
+      "loss": 0.8981,
+      "step": 6617
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7374853887275533e-05,
+      "loss": 0.6513,
+      "step": 6618
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.737399798694358e-05,
+      "loss": 0.8506,
+      "step": 6619
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.737314196819446e-05,
+      "loss": 0.865,
+      "step": 6620
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7372285831041923e-05,
+      "loss": 0.8864,
+      "step": 6621
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.737142957549971e-05,
+      "loss": 0.8801,
+      "step": 6622
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.737057320158158e-05,
+      "loss": 0.911,
+      "step": 6623
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7369716709301275e-05,
+      "loss": 0.8954,
+      "step": 6624
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.736886009867255e-05,
+      "loss": 0.9335,
+      "step": 6625
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7368003369709175e-05,
+      "loss": 0.8394,
+      "step": 6626
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7367146522424895e-05,
+      "loss": 0.9648,
+      "step": 6627
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7366289556833473e-05,
+      "loss": 0.8569,
+      "step": 6628
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.736543247294867e-05,
+      "loss": 0.8203,
+      "step": 6629
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.736457527078425e-05,
+      "loss": 0.8443,
+      "step": 6630
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7363717950353983e-05,
+      "loss": 0.9102,
+      "step": 6631
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7362860511671634e-05,
+      "loss": 0.8503,
+      "step": 6632
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7362002954750967e-05,
+      "loss": 0.8335,
+      "step": 6633
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.736114527960576e-05,
+      "loss": 0.9281,
+      "step": 6634
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7360287486249782e-05,
+      "loss": 0.927,
+      "step": 6635
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7359429574696813e-05,
+      "loss": 0.8154,
+      "step": 6636
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7358571544960623e-05,
+      "loss": 0.8289,
+      "step": 6637
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7357713397054995e-05,
+      "loss": 0.7347,
+      "step": 6638
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7356855130993713e-05,
+      "loss": 0.9238,
+      "step": 6639
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7355996746790556e-05,
+      "loss": 0.8772,
+      "step": 6640
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7355138244459306e-05,
+      "loss": 0.7922,
+      "step": 6641
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7354279624013753e-05,
+      "loss": 0.9422,
+      "step": 6642
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7353420885467688e-05,
+      "loss": 0.9731,
+      "step": 6643
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7352562028834895e-05,
+      "loss": 0.9101,
+      "step": 6644
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.735170305412917e-05,
+      "loss": 0.9426,
+      "step": 6645
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7350843961364307e-05,
+      "loss": 0.803,
+      "step": 6646
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.73499847505541e-05,
+      "loss": 0.8582,
+      "step": 6647
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7349125421712346e-05,
+      "loss": 0.9024,
+      "step": 6648
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7348265974852847e-05,
+      "loss": 0.909,
+      "step": 6649
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7347406409989407e-05,
+      "loss": 0.8922,
+      "step": 6650
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7346546727135823e-05,
+      "loss": 0.8286,
+      "step": 6651
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7345686926305908e-05,
+      "loss": 0.8596,
+      "step": 6652
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7344827007513464e-05,
+      "loss": 0.732,
+      "step": 6653
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7343966970772303e-05,
+      "loss": 1.0697,
+      "step": 6654
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7343106816096234e-05,
+      "loss": 0.8119,
+      "step": 6655
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7342246543499074e-05,
+      "loss": 0.9302,
+      "step": 6656
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.734138615299463e-05,
+      "loss": 0.8005,
+      "step": 6657
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7340525644596728e-05,
+      "loss": 0.7983,
+      "step": 6658
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7339665018319178e-05,
+      "loss": 0.839,
+      "step": 6659
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7338804274175805e-05,
+      "loss": 0.8039,
+      "step": 6660
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7337943412180435e-05,
+      "loss": 0.859,
+      "step": 6661
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7337082432346888e-05,
+      "loss": 0.8408,
+      "step": 6662
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.733622133468899e-05,
+      "loss": 0.7336,
+      "step": 6663
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.733536011922057e-05,
+      "loss": 0.7856,
+      "step": 6664
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.733449878595546e-05,
+      "loss": 0.899,
+      "step": 6665
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7333637334907487e-05,
+      "loss": 0.9195,
+      "step": 6666
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7332775766090492e-05,
+      "loss": 0.9226,
+      "step": 6667
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7331914079518305e-05,
+      "loss": 0.8115,
+      "step": 6668
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.733105227520476e-05,
+      "loss": 0.7613,
+      "step": 6669
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.733019035316371e-05,
+      "loss": 0.9149,
+      "step": 6670
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7329328313408984e-05,
+      "loss": 0.8759,
+      "step": 6671
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7328466155954428e-05,
+      "loss": 0.8352,
+      "step": 6672
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7327603880813893e-05,
+      "loss": 0.8356,
+      "step": 6673
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.732674148800122e-05,
+      "loss": 0.8866,
+      "step": 6674
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7325878977530258e-05,
+      "loss": 0.9382,
+      "step": 6675
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7325016349414858e-05,
+      "loss": 0.8418,
+      "step": 6676
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.732415360366888e-05,
+      "loss": 0.83,
+      "step": 6677
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.732329074030617e-05,
+      "loss": 0.7869,
+      "step": 6678
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7322427759340584e-05,
+      "loss": 0.8979,
+      "step": 6679
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.732156466078599e-05,
+      "loss": 0.9117,
+      "step": 6680
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7320701444656235e-05,
+      "loss": 0.8026,
+      "step": 6681
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7319838110965192e-05,
+      "loss": 0.8654,
+      "step": 6682
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7318974659726722e-05,
+      "loss": 0.844,
+      "step": 6683
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.731811109095469e-05,
+      "loss": 0.9625,
+      "step": 6684
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7317247404662963e-05,
+      "loss": 1.0003,
+      "step": 6685
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.731638360086541e-05,
+      "loss": 1.0109,
+      "step": 6686
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7315519679575905e-05,
+      "loss": 0.9707,
+      "step": 6687
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.731465564080832e-05,
+      "loss": 0.85,
+      "step": 6688
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7313791484576533e-05,
+      "loss": 0.7644,
+      "step": 6689
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.731292721089442e-05,
+      "loss": 0.8476,
+      "step": 6690
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.731206281977586e-05,
+      "loss": 0.8431,
+      "step": 6691
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7311198311234734e-05,
+      "loss": 0.9322,
+      "step": 6692
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7310333685284924e-05,
+      "loss": 1.0563,
+      "step": 6693
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7309468941940312e-05,
+      "loss": 0.858,
+      "step": 6694
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7308604081214793e-05,
+      "loss": 0.8905,
+      "step": 6695
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7307739103122247e-05,
+      "loss": 0.8603,
+      "step": 6696
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.730687400767657e-05,
+      "loss": 0.8482,
+      "step": 6697
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.730600879489165e-05,
+      "loss": 0.9141,
+      "step": 6698
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7305143464781387e-05,
+      "loss": 0.8527,
+      "step": 6699
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7304278017359672e-05,
+      "loss": 0.8676,
+      "step": 6700
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7303412452640404e-05,
+      "loss": 0.8116,
+      "step": 6701
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.730254677063749e-05,
+      "loss": 0.8615,
+      "step": 6702
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7301680971364817e-05,
+      "loss": 0.8181,
+      "step": 6703
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.73008150548363e-05,
+      "loss": 0.9123,
+      "step": 6704
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7299949021065842e-05,
+      "loss": 0.9101,
+      "step": 6705
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.729908287006735e-05,
+      "loss": 0.8277,
+      "step": 6706
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7298216601854734e-05,
+      "loss": 0.9342,
+      "step": 6707
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7297350216441903e-05,
+      "loss": 0.7503,
+      "step": 6708
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7296483713842772e-05,
+      "loss": 0.9786,
+      "step": 6709
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7295617094071256e-05,
+      "loss": 0.8787,
+      "step": 6710
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7294750357141273e-05,
+      "loss": 0.8749,
+      "step": 6711
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.729388350306674e-05,
+      "loss": 0.8624,
+      "step": 6712
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7293016531861575e-05,
+      "loss": 0.9349,
+      "step": 6713
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7292149443539706e-05,
+      "loss": 0.8756,
+      "step": 6714
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7291282238115052e-05,
+      "loss": 0.9053,
+      "step": 6715
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7290414915601543e-05,
+      "loss": 0.9246,
+      "step": 6716
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7289547476013105e-05,
+      "loss": 0.9102,
+      "step": 6717
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.728867991936367e-05,
+      "loss": 0.8447,
+      "step": 6718
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7287812245667168e-05,
+      "loss": 0.8017,
+      "step": 6719
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7286944454937536e-05,
+      "loss": 0.7612,
+      "step": 6720
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7286076547188703e-05,
+      "loss": 0.8783,
+      "step": 6721
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7285208522434615e-05,
+      "loss": 0.8549,
+      "step": 6722
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7284340380689203e-05,
+      "loss": 0.8819,
+      "step": 6723
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7283472121966414e-05,
+      "loss": 0.9038,
+      "step": 6724
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.728260374628019e-05,
+      "loss": 0.7661,
+      "step": 6725
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.728173525364447e-05,
+      "loss": 0.8376,
+      "step": 6726
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7280866644073214e-05,
+      "loss": 0.9557,
+      "step": 6727
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.727999791758036e-05,
+      "loss": 0.8024,
+      "step": 6728
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.727912907417986e-05,
+      "loss": 0.8358,
+      "step": 6729
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.727826011388567e-05,
+      "loss": 0.7565,
+      "step": 6730
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7277391036711747e-05,
+      "loss": 0.8473,
+      "step": 6731
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.727652184267204e-05,
+      "loss": 0.8996,
+      "step": 6732
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7275652531780508e-05,
+      "loss": 1.0235,
+      "step": 6733
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7274783104051112e-05,
+      "loss": 0.8674,
+      "step": 6734
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7273913559497818e-05,
+      "loss": 0.9778,
+      "step": 6735
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7273043898134587e-05,
+      "loss": 0.7466,
+      "step": 6736
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7272174119975386e-05,
+      "loss": 0.7314,
+      "step": 6737
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7271304225034177e-05,
+      "loss": 0.7784,
+      "step": 6738
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7270434213324936e-05,
+      "loss": 0.8926,
+      "step": 6739
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7269564084861632e-05,
+      "loss": 0.8051,
+      "step": 6740
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.726869383965824e-05,
+      "loss": 0.8527,
+      "step": 6741
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7267823477728727e-05,
+      "loss": 0.8326,
+      "step": 6742
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7266952999087082e-05,
+      "loss": 0.8438,
+      "step": 6743
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7266082403747278e-05,
+      "loss": 0.8798,
+      "step": 6744
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7265211691723292e-05,
+      "loss": 1.0823,
+      "step": 6745
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7264340863029113e-05,
+      "loss": 0.9216,
+      "step": 6746
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.726346991767872e-05,
+      "loss": 0.8792,
+      "step": 6747
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7262598855686105e-05,
+      "loss": 0.8575,
+      "step": 6748
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7261727677065248e-05,
+      "loss": 0.7836,
+      "step": 6749
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.726085638183015e-05,
+      "loss": 0.9489,
+      "step": 6750
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7259984969994793e-05,
+      "loss": 0.787,
+      "step": 6751
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7259113441573174e-05,
+      "loss": 0.8054,
+      "step": 6752
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.725824179657929e-05,
+      "loss": 0.8492,
+      "step": 6753
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.725737003502714e-05,
+      "loss": 0.9996,
+      "step": 6754
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7256498156930717e-05,
+      "loss": 0.9569,
+      "step": 6755
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7255626162304027e-05,
+      "loss": 1.0734,
+      "step": 6756
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7254754051161075e-05,
+      "loss": 0.8394,
+      "step": 6757
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7253881823515866e-05,
+      "loss": 0.7995,
+      "step": 6758
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.72530094793824e-05,
+      "loss": 0.9402,
+      "step": 6759
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7252137018774694e-05,
+      "loss": 0.9808,
+      "step": 6760
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7251264441706754e-05,
+      "loss": 0.9212,
+      "step": 6761
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.725039174819259e-05,
+      "loss": 0.7639,
+      "step": 6762
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7249518938246223e-05,
+      "loss": 0.8858,
+      "step": 6763
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7248646011881665e-05,
+      "loss": 0.8749,
+      "step": 6764
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7247772969112934e-05,
+      "loss": 0.9391,
+      "step": 6765
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7246899809954053e-05,
+      "loss": 0.7343,
+      "step": 6766
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.724602653441904e-05,
+      "loss": 0.8345,
+      "step": 6767
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7245153142521923e-05,
+      "loss": 0.7919,
+      "step": 6768
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7244279634276725e-05,
+      "loss": 0.8543,
+      "step": 6769
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.724340600969747e-05,
+      "loss": 0.8981,
+      "step": 6770
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.72425322687982e-05,
+      "loss": 0.8261,
+      "step": 6771
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7241658411592926e-05,
+      "loss": 0.9905,
+      "step": 6772
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.72407844380957e-05,
+      "loss": 1.0475,
+      "step": 6773
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7239910348320546e-05,
+      "loss": 0.6766,
+      "step": 6774
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7239036142281502e-05,
+      "loss": 0.8487,
+      "step": 6775
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7238161819992613e-05,
+      "loss": 0.8714,
+      "step": 6776
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7237287381467915e-05,
+      "loss": 0.9562,
+      "step": 6777
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7236412826721445e-05,
+      "loss": 0.8065,
+      "step": 6778
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7235538155767257e-05,
+      "loss": 0.9055,
+      "step": 6779
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7234663368619392e-05,
+      "loss": 0.8321,
+      "step": 6780
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.72337884652919e-05,
+      "loss": 0.8533,
+      "step": 6781
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7232913445798825e-05,
+      "loss": 0.8476,
+      "step": 6782
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.723203831015423e-05,
+      "loss": 0.8519,
+      "step": 6783
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7231163058372158e-05,
+      "loss": 0.7637,
+      "step": 6784
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.723028769046667e-05,
+      "loss": 0.7729,
+      "step": 6785
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.722941220645182e-05,
+      "loss": 0.7355,
+      "step": 6786
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7228536606341672e-05,
+      "loss": 0.8423,
+      "step": 6787
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.722766089015028e-05,
+      "loss": 0.7765,
+      "step": 6788
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.722678505789171e-05,
+      "loss": 0.7768,
+      "step": 6789
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7225909109580038e-05,
+      "loss": 0.8768,
+      "step": 6790
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7225033045229312e-05,
+      "loss": 0.9909,
+      "step": 6791
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.722415686485361e-05,
+      "loss": 0.8457,
+      "step": 6792
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7223280568467e-05,
+      "loss": 1.0182,
+      "step": 6793
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7222404156083555e-05,
+      "loss": 0.8629,
+      "step": 6794
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.722152762771735e-05,
+      "loss": 0.9245,
+      "step": 6795
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7220650983382462e-05,
+      "loss": 0.9219,
+      "step": 6796
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7219774223092964e-05,
+      "loss": 1.0345,
+      "step": 6797
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.721889734686294e-05,
+      "loss": 0.7753,
+      "step": 6798
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7218020354706473e-05,
+      "loss": 0.791,
+      "step": 6799
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7217143246637643e-05,
+      "loss": 1.0561,
+      "step": 6800
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7216266022670532e-05,
+      "loss": 0.968,
+      "step": 6801
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7215388682819237e-05,
+      "loss": 0.8531,
+      "step": 6802
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.721451122709784e-05,
+      "loss": 0.9207,
+      "step": 6803
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.721363365552043e-05,
+      "loss": 0.9164,
+      "step": 6804
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7212755968101104e-05,
+      "loss": 0.9025,
+      "step": 6805
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7211878164853954e-05,
+      "loss": 0.7442,
+      "step": 6806
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.721100024579308e-05,
+      "loss": 0.8546,
+      "step": 6807
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7210122210932576e-05,
+      "loss": 0.7585,
+      "step": 6808
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7209244060286545e-05,
+      "loss": 0.9167,
+      "step": 6809
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7208365793869087e-05,
+      "loss": 0.8122,
+      "step": 6810
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.720748741169431e-05,
+      "loss": 0.8503,
+      "step": 6811
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7206608913776315e-05,
+      "loss": 0.9336,
+      "step": 6812
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.720573030012921e-05,
+      "loss": 0.8935,
+      "step": 6813
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7204851570767108e-05,
+      "loss": 0.8703,
+      "step": 6814
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7203972725704114e-05,
+      "loss": 0.8839,
+      "step": 6815
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.720309376495435e-05,
+      "loss": 0.8096,
+      "step": 6816
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7202214688531925e-05,
+      "loss": 0.949,
+      "step": 6817
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7201335496450954e-05,
+      "loss": 0.9562,
+      "step": 6818
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.720045618872556e-05,
+      "loss": 0.7699,
+      "step": 6819
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7199576765369865e-05,
+      "loss": 0.8018,
+      "step": 6820
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7198697226397985e-05,
+      "loss": 0.9709,
+      "step": 6821
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7197817571824048e-05,
+      "loss": 0.9571,
+      "step": 6822
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7196937801662182e-05,
+      "loss": 0.8326,
+      "step": 6823
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7196057915926513e-05,
+      "loss": 0.8999,
+      "step": 6824
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7195177914631172e-05,
+      "loss": 0.8506,
+      "step": 6825
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7194297797790288e-05,
+      "loss": 0.8867,
+      "step": 6826
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7193417565418e-05,
+      "loss": 0.9105,
+      "step": 6827
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7192537217528435e-05,
+      "loss": 0.8205,
+      "step": 6828
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7191656754135733e-05,
+      "loss": 0.8474,
+      "step": 6829
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7190776175254043e-05,
+      "loss": 0.8455,
+      "step": 6830
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7189895480897493e-05,
+      "loss": 0.8762,
+      "step": 6831
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7189014671080232e-05,
+      "loss": 0.8474,
+      "step": 6832
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7188133745816406e-05,
+      "loss": 0.8123,
+      "step": 6833
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7187252705120155e-05,
+      "loss": 0.7796,
+      "step": 6834
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7186371549005634e-05,
+      "loss": 0.8193,
+      "step": 6835
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.718549027748699e-05,
+      "loss": 0.9463,
+      "step": 6836
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.718460889057838e-05,
+      "loss": 0.8498,
+      "step": 6837
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.718372738829395e-05,
+      "loss": 0.8146,
+      "step": 6838
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.718284577064786e-05,
+      "loss": 0.8297,
+      "step": 6839
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7181964037654268e-05,
+      "loss": 0.7884,
+      "step": 6840
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7181082189327335e-05,
+      "loss": 1.1262,
+      "step": 6841
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7180200225681217e-05,
+      "loss": 0.9362,
+      "step": 6842
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7179318146730083e-05,
+      "loss": 0.9187,
+      "step": 6843
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7178435952488092e-05,
+      "loss": 0.7977,
+      "step": 6844
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.717755364296942e-05,
+      "loss": 0.9136,
+      "step": 6845
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7176671218188228e-05,
+      "loss": 0.8539,
+      "step": 6846
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.717578867815869e-05,
+      "loss": 0.8806,
+      "step": 6847
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7174906022894976e-05,
+      "loss": 0.8745,
+      "step": 6848
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7174023252411266e-05,
+      "loss": 0.8143,
+      "step": 6849
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7173140366721725e-05,
+      "loss": 0.7299,
+      "step": 6850
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7172257365840544e-05,
+      "loss": 0.8146,
+      "step": 6851
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7171374249781897e-05,
+      "loss": 0.9299,
+      "step": 6852
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7170491018559962e-05,
+      "loss": 0.9054,
+      "step": 6853
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.716960767218893e-05,
+      "loss": 0.7852,
+      "step": 6854
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7168724210682982e-05,
+      "loss": 0.7074,
+      "step": 6855
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7167840634056302e-05,
+      "loss": 0.8715,
+      "step": 6856
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7166956942323086e-05,
+      "loss": 1.0218,
+      "step": 6857
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7166073135497527e-05,
+      "loss": 0.8603,
+      "step": 6858
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7165189213593808e-05,
+      "loss": 1.0158,
+      "step": 6859
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7164305176626127e-05,
+      "loss": 0.9467,
+      "step": 6860
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7163421024608685e-05,
+      "loss": 0.8653,
+      "step": 6861
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.716253675755568e-05,
+      "loss": 0.8692,
+      "step": 6862
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7161652375481307e-05,
+      "loss": 0.6552,
+      "step": 6863
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.716076787839977e-05,
+      "loss": 0.8787,
+      "step": 6864
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7159883266325273e-05,
+      "loss": 0.7719,
+      "step": 6865
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7158998539272027e-05,
+      "loss": 0.806,
+      "step": 6866
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7158113697254232e-05,
+      "loss": 0.844,
+      "step": 6867
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.71572287402861e-05,
+      "loss": 0.8968,
+      "step": 6868
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7156343668381845e-05,
+      "loss": 0.8627,
+      "step": 6869
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7155458481555676e-05,
+      "loss": 0.8629,
+      "step": 6870
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7154573179821815e-05,
+      "loss": 0.8952,
+      "step": 6871
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.715368776319447e-05,
+      "loss": 0.9132,
+      "step": 6872
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7152802231687863e-05,
+      "loss": 0.7269,
+      "step": 6873
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7151916585316217e-05,
+      "loss": 0.7724,
+      "step": 6874
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.715103082409375e-05,
+      "loss": 0.89,
+      "step": 6875
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.715014494803469e-05,
+      "loss": 0.833,
+      "step": 6876
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.714925895715326e-05,
+      "loss": 0.9305,
+      "step": 6877
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7148372851463695e-05,
+      "loss": 0.8812,
+      "step": 6878
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7147486630980216e-05,
+      "loss": 0.9441,
+      "step": 6879
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.714660029571706e-05,
+      "loss": 0.8605,
+      "step": 6880
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7145713845688455e-05,
+      "loss": 0.877,
+      "step": 6881
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.714482728090864e-05,
+      "loss": 0.9807,
+      "step": 6882
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7143940601391854e-05,
+      "loss": 0.7695,
+      "step": 6883
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7143053807152332e-05,
+      "loss": 0.8726,
+      "step": 6884
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.714216689820432e-05,
+      "loss": 0.815,
+      "step": 6885
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7141279874562054e-05,
+      "loss": 0.9217,
+      "step": 6886
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7140392736239785e-05,
+      "loss": 0.8127,
+      "step": 6887
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.713950548325175e-05,
+      "loss": 0.7715,
+      "step": 6888
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7138618115612206e-05,
+      "loss": 0.8658,
+      "step": 6889
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7137730633335404e-05,
+      "loss": 0.7775,
+      "step": 6890
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7136843036435586e-05,
+      "loss": 0.9554,
+      "step": 6891
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.713595532492702e-05,
+      "loss": 0.8791,
+      "step": 6892
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7135067498823945e-05,
+      "loss": 0.8604,
+      "step": 6893
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.713417955814063e-05,
+      "loss": 0.7953,
+      "step": 6894
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.713329150289133e-05,
+      "loss": 0.8026,
+      "step": 6895
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.713240333309031e-05,
+      "loss": 0.7956,
+      "step": 6896
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7131515048751826e-05,
+      "loss": 0.9043,
+      "step": 6897
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7130626649890148e-05,
+      "loss": 0.8775,
+      "step": 6898
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7129738136519543e-05,
+      "loss": 0.829,
+      "step": 6899
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7128849508654278e-05,
+      "loss": 0.8324,
+      "step": 6900
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.712796076630862e-05,
+      "loss": 0.8586,
+      "step": 6901
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7127071909496844e-05,
+      "loss": 0.8067,
+      "step": 6902
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7126182938233228e-05,
+      "loss": 0.9247,
+      "step": 6903
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7125293852532035e-05,
+      "loss": 0.8731,
+      "step": 6904
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.712440465240756e-05,
+      "loss": 0.8266,
+      "step": 6905
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.712351533787407e-05,
+      "loss": 0.8499,
+      "step": 6906
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7122625908945848e-05,
+      "loss": 0.7698,
+      "step": 6907
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7121736365637182e-05,
+      "loss": 0.812,
+      "step": 6908
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7120846707962355e-05,
+      "loss": 0.92,
+      "step": 6909
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.711995693593565e-05,
+      "loss": 0.8341,
+      "step": 6910
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.711906704957136e-05,
+      "loss": 0.9441,
+      "step": 6911
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7118177048883774e-05,
+      "loss": 0.8943,
+      "step": 6912
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7117286933887182e-05,
+      "loss": 0.9159,
+      "step": 6913
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7116396704595883e-05,
+      "loss": 1.033,
+      "step": 6914
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.711550636102417e-05,
+      "loss": 0.7001,
+      "step": 6915
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.711461590318634e-05,
+      "loss": 0.8649,
+      "step": 6916
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7113725331096692e-05,
+      "loss": 0.9224,
+      "step": 6917
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7112834644769533e-05,
+      "loss": 0.7664,
+      "step": 6918
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.711194384421916e-05,
+      "loss": 0.8989,
+      "step": 6919
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7111052929459883e-05,
+      "loss": 0.6913,
+      "step": 6920
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7110161900506003e-05,
+      "loss": 0.9101,
+      "step": 6921
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7109270757371833e-05,
+      "loss": 0.8158,
+      "step": 6922
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7108379500071687e-05,
+      "loss": 0.8724,
+      "step": 6923
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7107488128619868e-05,
+      "loss": 0.9004,
+      "step": 6924
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7106596643030702e-05,
+      "loss": 0.8173,
+      "step": 6925
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7105705043318493e-05,
+      "loss": 0.8716,
+      "step": 6926
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.710481332949757e-05,
+      "loss": 0.8099,
+      "step": 6927
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7103921501582243e-05,
+      "loss": 0.8123,
+      "step": 6928
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7103029559586843e-05,
+      "loss": 0.9435,
+      "step": 6929
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7102137503525686e-05,
+      "loss": 0.817,
+      "step": 6930
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7101245333413098e-05,
+      "loss": 0.9592,
+      "step": 6931
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.710035304926341e-05,
+      "loss": 0.8044,
+      "step": 6932
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7099460651090952e-05,
+      "loss": 0.8654,
+      "step": 6933
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.709856813891005e-05,
+      "loss": 0.838,
+      "step": 6934
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7097675512735042e-05,
+      "loss": 0.9347,
+      "step": 6935
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7096782772580255e-05,
+      "loss": 0.9203,
+      "step": 6936
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.709588991846003e-05,
+      "loss": 0.8243,
+      "step": 6937
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7094996950388704e-05,
+      "loss": 0.8994,
+      "step": 6938
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7094103868380618e-05,
+      "loss": 0.9572,
+      "step": 6939
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7093210672450114e-05,
+      "loss": 0.8578,
+      "step": 6940
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7092317362611537e-05,
+      "loss": 0.7983,
+      "step": 6941
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7091423938879227e-05,
+      "loss": 0.8856,
+      "step": 6942
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7090530401267534e-05,
+      "loss": 0.7596,
+      "step": 6943
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7089636749790812e-05,
+      "loss": 0.7815,
+      "step": 6944
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7088742984463405e-05,
+      "loss": 0.7921,
+      "step": 6945
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.708784910529967e-05,
+      "loss": 0.9046,
+      "step": 6946
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7086955112313958e-05,
+      "loss": 0.8729,
+      "step": 6947
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7086061005520628e-05,
+      "loss": 0.8817,
+      "step": 6948
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.708516678493404e-05,
+      "loss": 0.9388,
+      "step": 6949
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7084272450568543e-05,
+      "loss": 0.7868,
+      "step": 6950
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7083378002438516e-05,
+      "loss": 0.8334,
+      "step": 6951
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7082483440558314e-05,
+      "loss": 0.7907,
+      "step": 6952
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7081588764942298e-05,
+      "loss": 0.7893,
+      "step": 6953
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7080693975604842e-05,
+      "loss": 0.8357,
+      "step": 6954
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7079799072560318e-05,
+      "loss": 0.8844,
+      "step": 6955
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7078904055823087e-05,
+      "loss": 0.7735,
+      "step": 6956
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7078008925407527e-05,
+      "loss": 0.8959,
+      "step": 6957
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7077113681328016e-05,
+      "loss": 0.8745,
+      "step": 6958
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7076218323598926e-05,
+      "loss": 0.9376,
+      "step": 6959
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7075322852234637e-05,
+      "loss": 0.7421,
+      "step": 6960
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7074427267249528e-05,
+      "loss": 0.9295,
+      "step": 6961
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.707353156865798e-05,
+      "loss": 0.9511,
+      "step": 6962
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7072635756474384e-05,
+      "loss": 0.9504,
+      "step": 6963
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7071739830713117e-05,
+      "loss": 0.8725,
+      "step": 6964
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7070843791388568e-05,
+      "loss": 0.7313,
+      "step": 6965
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7069947638515132e-05,
+      "loss": 0.8228,
+      "step": 6966
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7069051372107193e-05,
+      "loss": 0.8436,
+      "step": 6967
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.706815499217915e-05,
+      "loss": 0.9683,
+      "step": 6968
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7067258498745393e-05,
+      "loss": 0.9686,
+      "step": 6969
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.706636189182032e-05,
+      "loss": 1.0536,
+      "step": 6970
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.706546517141833e-05,
+      "loss": 0.8428,
+      "step": 6971
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.706456833755382e-05,
+      "loss": 0.7453,
+      "step": 6972
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.70636713902412e-05,
+      "loss": 0.7972,
+      "step": 6973
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7062774329494865e-05,
+      "loss": 0.7715,
+      "step": 6974
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7061877155329224e-05,
+      "loss": 0.9053,
+      "step": 6975
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7060979867758685e-05,
+      "loss": 0.8791,
+      "step": 6976
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7060082466797662e-05,
+      "loss": 0.8238,
+      "step": 6977
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.705918495246056e-05,
+      "loss": 0.6169,
+      "step": 6978
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.705828732476179e-05,
+      "loss": 0.829,
+      "step": 6979
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.705738958371577e-05,
+      "loss": 0.9208,
+      "step": 6980
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7056491729336917e-05,
+      "loss": 0.9436,
+      "step": 6981
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7055593761639653e-05,
+      "loss": 1.018,
+      "step": 6982
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.705469568063839e-05,
+      "loss": 0.7701,
+      "step": 6983
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.705379748634756e-05,
+      "loss": 0.9244,
+      "step": 6984
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7052899178781575e-05,
+      "loss": 0.7574,
+      "step": 6985
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.705200075795487e-05,
+      "loss": 0.8095,
+      "step": 6986
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.705110222388187e-05,
+      "loss": 0.959,
+      "step": 6987
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7050203576577e-05,
+      "loss": 0.9586,
+      "step": 6988
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.70493048160547e-05,
+      "loss": 0.8882,
+      "step": 6989
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7048405942329393e-05,
+      "loss": 0.9868,
+      "step": 6990
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.704750695541552e-05,
+      "loss": 0.7812,
+      "step": 6991
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.704660785532752e-05,
+      "loss": 0.9593,
+      "step": 6992
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7045708642079824e-05,
+      "loss": 0.9114,
+      "step": 6993
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.704480931568688e-05,
+      "loss": 0.8237,
+      "step": 6994
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.704390987616312e-05,
+      "loss": 0.8472,
+      "step": 6995
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7043010323522998e-05,
+      "loss": 0.7995,
+      "step": 6996
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7042110657780953e-05,
+      "loss": 0.9149,
+      "step": 6997
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.704121087895144e-05,
+      "loss": 0.7271,
+      "step": 6998
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7040310987048897e-05,
+      "loss": 0.8961,
+      "step": 6999
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7039410982087786e-05,
+      "loss": 0.7345,
+      "step": 7000
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7038510864082555e-05,
+      "loss": 0.8381,
+      "step": 7001
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.703761063304766e-05,
+      "loss": 0.9496,
+      "step": 7002
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7036710288997555e-05,
+      "loss": 0.9684,
+      "step": 7003
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.70358098319467e-05,
+      "loss": 0.7219,
+      "step": 7004
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7034909261909556e-05,
+      "loss": 0.9069,
+      "step": 7005
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7034008578900584e-05,
+      "loss": 0.8059,
+      "step": 7006
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.703310778293425e-05,
+      "loss": 0.8033,
+      "step": 7007
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7032206874025017e-05,
+      "loss": 0.8989,
+      "step": 7008
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.703130585218735e-05,
+      "loss": 0.7433,
+      "step": 7009
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.703040471743573e-05,
+      "loss": 0.9223,
+      "step": 7010
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7029503469784613e-05,
+      "loss": 0.716,
+      "step": 7011
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7028602109248484e-05,
+      "loss": 0.7961,
+      "step": 7012
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.702770063584181e-05,
+      "loss": 0.9186,
+      "step": 7013
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7026799049579063e-05,
+      "loss": 0.7782,
+      "step": 7014
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.702589735047474e-05,
+      "loss": 0.7481,
+      "step": 7015
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.70249955385433e-05,
+      "loss": 0.8706,
+      "step": 7016
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.702409361379924e-05,
+      "loss": 0.8709,
+      "step": 7017
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7023191576257038e-05,
+      "loss": 0.8554,
+      "step": 7018
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7022289425931176e-05,
+      "loss": 0.8779,
+      "step": 7019
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.702138716283615e-05,
+      "loss": 0.7651,
+      "step": 7020
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.702048478698644e-05,
+      "loss": 0.8997,
+      "step": 7021
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7019582298396544e-05,
+      "loss": 0.9027,
+      "step": 7022
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7018679697080952e-05,
+      "loss": 0.8076,
+      "step": 7023
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.701777698305416e-05,
+      "loss": 0.6538,
+      "step": 7024
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.701687415633066e-05,
+      "loss": 0.9343,
+      "step": 7025
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7015971216924957e-05,
+      "loss": 0.7746,
+      "step": 7026
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.701506816485155e-05,
+      "loss": 0.9712,
+      "step": 7027
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7014165000124932e-05,
+      "loss": 0.8267,
+      "step": 7028
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.701326172275962e-05,
+      "loss": 0.7813,
+      "step": 7029
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.7012358332770105e-05,
+      "loss": 0.866,
+      "step": 7030
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.701145483017091e-05,
+      "loss": 0.8089,
+      "step": 7031
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.701055121497653e-05,
+      "loss": 0.8694,
+      "step": 7032
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.7009647487201492e-05,
+      "loss": 0.7931,
+      "step": 7033
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.7008743646860288e-05,
+      "loss": 0.8656,
+      "step": 7034
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.7007839693967446e-05,
+      "loss": 0.7947,
+      "step": 7035
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.7006935628537485e-05,
+      "loss": 0.9399,
+      "step": 7036
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.7006031450584913e-05,
+      "loss": 0.8737,
+      "step": 7037
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.700512716012426e-05,
+      "loss": 0.8276,
+      "step": 7038
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.700422275717004e-05,
+      "loss": 0.8936,
+      "step": 7039
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.7003318241736775e-05,
+      "loss": 0.7706,
+      "step": 7040
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.7002413613838997e-05,
+      "loss": 0.9196,
+      "step": 7041
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.7001508873491236e-05,
+      "loss": 0.8894,
+      "step": 7042
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.700060402070801e-05,
+      "loss": 0.9958,
+      "step": 7043
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6999699055503856e-05,
+      "loss": 0.6162,
+      "step": 7044
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6998793977893312e-05,
+      "loss": 0.8429,
+      "step": 7045
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.69978887878909e-05,
+      "loss": 0.7998,
+      "step": 7046
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6996983485511164e-05,
+      "loss": 0.9657,
+      "step": 7047
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6996078070768642e-05,
+      "loss": 1.0097,
+      "step": 7048
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6995172543677875e-05,
+      "loss": 0.927,
+      "step": 7049
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.69942669042534e-05,
+      "loss": 0.7628,
+      "step": 7050
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6993361152509762e-05,
+      "loss": 0.8506,
+      "step": 7051
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.699245528846151e-05,
+      "loss": 0.8761,
+      "step": 7052
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6991549312123187e-05,
+      "loss": 0.8824,
+      "step": 7053
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6990643223509342e-05,
+      "loss": 0.8802,
+      "step": 7054
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.698973702263453e-05,
+      "loss": 0.9033,
+      "step": 7055
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6988830709513294e-05,
+      "loss": 0.9856,
+      "step": 7056
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6987924284160197e-05,
+      "loss": 0.8476,
+      "step": 7057
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6987017746589797e-05,
+      "loss": 0.8511,
+      "step": 7058
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.698611109681664e-05,
+      "loss": 0.7786,
+      "step": 7059
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6985204334855298e-05,
+      "loss": 1.0836,
+      "step": 7060
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6984297460720323e-05,
+      "loss": 0.7866,
+      "step": 7061
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6983390474426284e-05,
+      "loss": 0.9212,
+      "step": 7062
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6982483375987746e-05,
+      "loss": 0.9703,
+      "step": 7063
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6981576165419275e-05,
+      "loss": 0.8463,
+      "step": 7064
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6980668842735438e-05,
+      "loss": 0.8333,
+      "step": 7065
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6979761407950806e-05,
+      "loss": 0.9104,
+      "step": 7066
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6978853861079954e-05,
+      "loss": 0.9531,
+      "step": 7067
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.697794620213745e-05,
+      "loss": 0.9463,
+      "step": 7068
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.697703843113788e-05,
+      "loss": 0.7891,
+      "step": 7069
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.697613054809581e-05,
+      "loss": 0.7709,
+      "step": 7070
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.697522255302583e-05,
+      "loss": 0.8459,
+      "step": 7071
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6974314445942514e-05,
+      "loss": 0.8914,
+      "step": 7072
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6973406226860444e-05,
+      "loss": 0.8381,
+      "step": 7073
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.697249789579421e-05,
+      "loss": 0.9491,
+      "step": 7074
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6971589452758397e-05,
+      "loss": 0.7943,
+      "step": 7075
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6970680897767597e-05,
+      "loss": 0.8691,
+      "step": 7076
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.696977223083639e-05,
+      "loss": 0.8535,
+      "step": 7077
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.696886345197938e-05,
+      "loss": 0.7995,
+      "step": 7078
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6967954561211154e-05,
+      "loss": 0.9437,
+      "step": 7079
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.696704555854631e-05,
+      "loss": 0.881,
+      "step": 7080
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.696613644399944e-05,
+      "loss": 0.8548,
+      "step": 7081
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.696522721758515e-05,
+      "loss": 0.7875,
+      "step": 7082
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.696431787931804e-05,
+      "loss": 0.931,
+      "step": 7083
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6963408429212712e-05,
+      "loss": 0.8372,
+      "step": 7084
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.696249886728377e-05,
+      "loss": 0.916,
+      "step": 7085
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.696158919354582e-05,
+      "loss": 0.8164,
+      "step": 7086
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6960679408013475e-05,
+      "loss": 0.9436,
+      "step": 7087
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6959769510701333e-05,
+      "loss": 0.8811,
+      "step": 7088
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.695885950162402e-05,
+      "loss": 0.9884,
+      "step": 7089
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.695794938079614e-05,
+      "loss": 0.9928,
+      "step": 7090
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6957039148232315e-05,
+      "loss": 0.8784,
+      "step": 7091
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6956128803947155e-05,
+      "loss": 0.8115,
+      "step": 7092
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6955218347955286e-05,
+      "loss": 0.8107,
+      "step": 7093
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6954307780271325e-05,
+      "loss": 0.7008,
+      "step": 7094
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6953397100909896e-05,
+      "loss": 0.9423,
+      "step": 7095
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6952486309885617e-05,
+      "loss": 0.9405,
+      "step": 7096
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6951575407213126e-05,
+      "loss": 0.8644,
+      "step": 7097
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6950664392907042e-05,
+      "loss": 0.9106,
+      "step": 7098
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6949753266982e-05,
+      "loss": 0.8324,
+      "step": 7099
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6948842029452627e-05,
+      "loss": 0.7104,
+      "step": 7100
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6947930680333556e-05,
+      "loss": 0.785,
+      "step": 7101
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6947019219639432e-05,
+      "loss": 0.8903,
+      "step": 7102
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.694610764738488e-05,
+      "loss": 0.8423,
+      "step": 7103
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6945195963584543e-05,
+      "loss": 0.6067,
+      "step": 7104
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6944284168253062e-05,
+      "loss": 0.7327,
+      "step": 7105
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.694337226140508e-05,
+      "loss": 0.818,
+      "step": 7106
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6942460243055237e-05,
+      "loss": 0.8398,
+      "step": 7107
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.694154811321818e-05,
+      "loss": 0.7565,
+      "step": 7108
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6940635871908564e-05,
+      "loss": 0.8469,
+      "step": 7109
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.693972351914103e-05,
+      "loss": 0.845,
+      "step": 7110
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6938811054930237e-05,
+      "loss": 0.7545,
+      "step": 7111
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6937898479290826e-05,
+      "loss": 0.8689,
+      "step": 7112
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6936985792237464e-05,
+      "loss": 0.9138,
+      "step": 7113
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6936072993784802e-05,
+      "loss": 0.9095,
+      "step": 7114
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6935160083947498e-05,
+      "loss": 0.8075,
+      "step": 7115
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6934247062740215e-05,
+      "loss": 0.778,
+      "step": 7116
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6933333930177613e-05,
+      "loss": 0.8367,
+      "step": 7117
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6932420686274353e-05,
+      "loss": 0.8782,
+      "step": 7118
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.693150733104511e-05,
+      "loss": 0.928,
+      "step": 7119
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6930593864504538e-05,
+      "loss": 0.8609,
+      "step": 7120
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6929680286667313e-05,
+      "loss": 0.8371,
+      "step": 7121
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.692876659754811e-05,
+      "loss": 0.8838,
+      "step": 7122
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.69278527971616e-05,
+      "loss": 0.9948,
+      "step": 7123
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.692693888552245e-05,
+      "loss": 0.8975,
+      "step": 7124
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.692602486264534e-05,
+      "loss": 0.7883,
+      "step": 7125
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6925110728544953e-05,
+      "loss": 0.8205,
+      "step": 7126
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6924196483235968e-05,
+      "loss": 0.6778,
+      "step": 7127
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6923282126733058e-05,
+      "loss": 0.8745,
+      "step": 7128
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6922367659050914e-05,
+      "loss": 0.9239,
+      "step": 7129
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6921453080204224e-05,
+      "loss": 0.8517,
+      "step": 7130
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6920538390207664e-05,
+      "loss": 0.7957,
+      "step": 7131
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6919623589075934e-05,
+      "loss": 0.8931,
+      "step": 7132
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.691870867682372e-05,
+      "loss": 0.8229,
+      "step": 7133
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6917793653465712e-05,
+      "loss": 0.8289,
+      "step": 7134
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.691687851901661e-05,
+      "loss": 0.8813,
+      "step": 7135
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6915963273491103e-05,
+      "loss": 0.9352,
+      "step": 7136
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.691504791690389e-05,
+      "loss": 0.9409,
+      "step": 7137
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6914132449269676e-05,
+      "loss": 0.9725,
+      "step": 7138
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6913216870603157e-05,
+      "loss": 0.8647,
+      "step": 7139
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.691230118091904e-05,
+      "loss": 0.8834,
+      "step": 7140
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6911385380232027e-05,
+      "loss": 0.945,
+      "step": 7141
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6910469468556826e-05,
+      "loss": 0.7654,
+      "step": 7142
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.690955344590814e-05,
+      "loss": 0.979,
+      "step": 7143
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.690863731230069e-05,
+      "loss": 0.8812,
+      "step": 7144
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.690772106774918e-05,
+      "loss": 0.9814,
+      "step": 7145
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.690680471226832e-05,
+      "loss": 0.8738,
+      "step": 7146
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.690588824587284e-05,
+      "loss": 0.7399,
+      "step": 7147
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.690497166857744e-05,
+      "loss": 0.8125,
+      "step": 7148
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6904054980396852e-05,
+      "loss": 0.8802,
+      "step": 7149
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.690313818134579e-05,
+      "loss": 0.7946,
+      "step": 7150
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6902221271438982e-05,
+      "loss": 0.7618,
+      "step": 7151
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.690130425069115e-05,
+      "loss": 0.9221,
+      "step": 7152
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6900387119117013e-05,
+      "loss": 0.7616,
+      "step": 7153
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6899469876731313e-05,
+      "loss": 0.9375,
+      "step": 7154
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6898552523548767e-05,
+      "loss": 0.802,
+      "step": 7155
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6897635059584114e-05,
+      "loss": 0.7972,
+      "step": 7156
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6896717484852084e-05,
+      "loss": 0.8408,
+      "step": 7157
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6895799799367417e-05,
+      "loss": 0.9821,
+      "step": 7158
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.689488200314484e-05,
+      "loss": 0.8816,
+      "step": 7159
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6893964096199103e-05,
+      "loss": 0.9358,
+      "step": 7160
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.689304607854494e-05,
+      "loss": 1.0754,
+      "step": 7161
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6892127950197092e-05,
+      "loss": 0.8042,
+      "step": 7162
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.689120971117031e-05,
+      "loss": 0.9125,
+      "step": 7163
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6890291361479332e-05,
+      "loss": 0.7245,
+      "step": 7164
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.688937290113891e-05,
+      "loss": 0.6746,
+      "step": 7165
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.688845433016379e-05,
+      "loss": 0.8737,
+      "step": 7166
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.688753564856873e-05,
+      "loss": 1.0161,
+      "step": 7167
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6886616856368472e-05,
+      "loss": 0.8392,
+      "step": 7168
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.688569795357778e-05,
+      "loss": 0.6897,
+      "step": 7169
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6884778940211408e-05,
+      "loss": 0.8191,
+      "step": 7170
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.688385981628411e-05,
+      "loss": 0.7883,
+      "step": 7171
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6882940581810655e-05,
+      "loss": 0.91,
+      "step": 7172
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6882021236805793e-05,
+      "loss": 0.7996,
+      "step": 7173
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6881101781284294e-05,
+      "loss": 0.8844,
+      "step": 7174
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6880182215260924e-05,
+      "loss": 0.8147,
+      "step": 7175
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6879262538750453e-05,
+      "loss": 0.9171,
+      "step": 7176
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6878342751767642e-05,
+      "loss": 0.7372,
+      "step": 7177
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6877422854327265e-05,
+      "loss": 0.8425,
+      "step": 7178
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6876502846444096e-05,
+      "loss": 0.825,
+      "step": 7179
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.687558272813291e-05,
+      "loss": 0.8545,
+      "step": 7180
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.687466249940848e-05,
+      "loss": 0.731,
+      "step": 7181
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.687374216028558e-05,
+      "loss": 0.8384,
+      "step": 7182
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6872821710778997e-05,
+      "loss": 0.766,
+      "step": 7183
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.687190115090351e-05,
+      "loss": 0.8206,
+      "step": 7184
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6870980480673905e-05,
+      "loss": 1.1172,
+      "step": 7185
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6870059700104956e-05,
+      "loss": 1.0395,
+      "step": 7186
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.686913880921146e-05,
+      "loss": 0.8796,
+      "step": 7187
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6868217808008203e-05,
+      "loss": 0.7949,
+      "step": 7188
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6867296696509978e-05,
+      "loss": 0.8633,
+      "step": 7189
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.686637547473157e-05,
+      "loss": 0.7865,
+      "step": 7190
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6865454142687773e-05,
+      "loss": 0.8622,
+      "step": 7191
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.686453270039339e-05,
+      "loss": 0.8264,
+      "step": 7192
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.686361114786321e-05,
+      "loss": 0.9332,
+      "step": 7193
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.686268948511204e-05,
+      "loss": 0.7543,
+      "step": 7194
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.686176771215467e-05,
+      "loss": 0.9088,
+      "step": 7195
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6860845829005914e-05,
+      "loss": 0.8957,
+      "step": 7196
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.685992383568057e-05,
+      "loss": 0.8793,
+      "step": 7197
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6859001732193442e-05,
+      "loss": 0.9023,
+      "step": 7198
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6858079518559343e-05,
+      "loss": 0.8139,
+      "step": 7199
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6857157194793083e-05,
+      "loss": 0.8173,
+      "step": 7200
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.685623476090947e-05,
+      "loss": 0.844,
+      "step": 7201
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6855312216923316e-05,
+      "loss": 0.8799,
+      "step": 7202
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.685438956284944e-05,
+      "loss": 0.8183,
+      "step": 7203
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6853466798702654e-05,
+      "loss": 0.7899,
+      "step": 7204
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6852543924497782e-05,
+      "loss": 0.9193,
+      "step": 7205
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.685162094024964e-05,
+      "loss": 0.8169,
+      "step": 7206
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.685069784597305e-05,
+      "loss": 0.8784,
+      "step": 7207
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6849774641682838e-05,
+      "loss": 0.9359,
+      "step": 7208
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6848851327393833e-05,
+      "loss": 0.9309,
+      "step": 7209
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6847927903120852e-05,
+      "loss": 0.786,
+      "step": 7210
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.684700436887873e-05,
+      "loss": 0.8519,
+      "step": 7211
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.68460807246823e-05,
+      "loss": 0.6708,
+      "step": 7212
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6845156970546393e-05,
+      "loss": 0.9422,
+      "step": 7213
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.684423310648584e-05,
+      "loss": 0.8297,
+      "step": 7214
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.684330913251548e-05,
+      "loss": 0.8289,
+      "step": 7215
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.684238504865015e-05,
+      "loss": 0.7906,
+      "step": 7216
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.684146085490469e-05,
+      "loss": 0.8818,
+      "step": 7217
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6840536551293946e-05,
+      "loss": 0.7246,
+      "step": 7218
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6839612137832752e-05,
+      "loss": 0.9359,
+      "step": 7219
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.683868761453596e-05,
+      "loss": 0.8698,
+      "step": 7220
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.683776298141841e-05,
+      "loss": 0.8272,
+      "step": 7221
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6836838238494956e-05,
+      "loss": 0.7747,
+      "step": 7222
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6835913385780453e-05,
+      "loss": 0.8313,
+      "step": 7223
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.683498842328974e-05,
+      "loss": 0.826,
+      "step": 7224
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.683406335103768e-05,
+      "loss": 0.7932,
+      "step": 7225
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6833138169039127e-05,
+      "loss": 0.7583,
+      "step": 7226
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6832212877308934e-05,
+      "loss": 0.705,
+      "step": 7227
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.683128747586197e-05,
+      "loss": 0.9017,
+      "step": 7228
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6830361964713082e-05,
+      "loss": 0.8719,
+      "step": 7229
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6829436343877142e-05,
+      "loss": 0.734,
+      "step": 7230
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.682851061336902e-05,
+      "loss": 0.9278,
+      "step": 7231
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6827584773203564e-05,
+      "loss": 0.9661,
+      "step": 7232
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6826658823395657e-05,
+      "loss": 0.8023,
+      "step": 7233
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6825732763960162e-05,
+      "loss": 0.927,
+      "step": 7234
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.682480659491195e-05,
+      "loss": 0.8497,
+      "step": 7235
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.68238803162659e-05,
+      "loss": 0.8185,
+      "step": 7236
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.682295392803688e-05,
+      "loss": 0.8243,
+      "step": 7237
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.682202743023977e-05,
+      "loss": 0.9448,
+      "step": 7238
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.682110082288945e-05,
+      "loss": 0.8133,
+      "step": 7239
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6820174106000794e-05,
+      "loss": 0.8856,
+      "step": 7240
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.681924727958869e-05,
+      "loss": 0.9593,
+      "step": 7241
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.681832034366802e-05,
+      "loss": 0.8591,
+      "step": 7242
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.681739329825367e-05,
+      "loss": 0.8461,
+      "step": 7243
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6816466143360527e-05,
+      "loss": 0.8954,
+      "step": 7244
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6815538879003477e-05,
+      "loss": 0.8309,
+      "step": 7245
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6814611505197413e-05,
+      "loss": 0.885,
+      "step": 7246
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6813684021957226e-05,
+      "loss": 1.0627,
+      "step": 7247
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6812756429297815e-05,
+      "loss": 0.7981,
+      "step": 7248
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6811828727234073e-05,
+      "loss": 0.8362,
+      "step": 7249
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6810900915780894e-05,
+      "loss": 0.7478,
+      "step": 7250
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6809972994953184e-05,
+      "loss": 0.9615,
+      "step": 7251
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.680904496476584e-05,
+      "loss": 0.9034,
+      "step": 7252
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6808116825233765e-05,
+      "loss": 0.7334,
+      "step": 7253
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6807188576371864e-05,
+      "loss": 0.8108,
+      "step": 7254
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6806260218195046e-05,
+      "loss": 0.8383,
+      "step": 7255
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6805331750718218e-05,
+      "loss": 0.8578,
+      "step": 7256
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.680440317395629e-05,
+      "loss": 0.8485,
+      "step": 7257
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6803474487924173e-05,
+      "loss": 0.8161,
+      "step": 7258
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.680254569263678e-05,
+      "loss": 0.8278,
+      "step": 7259
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6801616788109028e-05,
+      "loss": 0.8712,
+      "step": 7260
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6800687774355834e-05,
+      "loss": 0.6999,
+      "step": 7261
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6799758651392114e-05,
+      "loss": 0.9776,
+      "step": 7262
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6798829419232793e-05,
+      "loss": 0.9315,
+      "step": 7263
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6797900077892788e-05,
+      "loss": 0.8507,
+      "step": 7264
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6796970627387028e-05,
+      "loss": 0.8939,
+      "step": 7265
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6796041067730437e-05,
+      "loss": 0.8632,
+      "step": 7266
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6795111398937944e-05,
+      "loss": 0.8319,
+      "step": 7267
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6794181621024473e-05,
+      "loss": 0.8282,
+      "step": 7268
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.679325173400496e-05,
+      "loss": 0.7052,
+      "step": 7269
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6792321737894337e-05,
+      "loss": 0.7261,
+      "step": 7270
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6791391632707535e-05,
+      "loss": 0.8075,
+      "step": 7271
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.67904614184595e-05,
+      "loss": 0.8044,
+      "step": 7272
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.678953109516516e-05,
+      "loss": 0.7474,
+      "step": 7273
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6788600662839457e-05,
+      "loss": 0.8993,
+      "step": 7274
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6787670121497335e-05,
+      "loss": 0.919,
+      "step": 7275
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.678673947115374e-05,
+      "loss": 0.8168,
+      "step": 7276
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.678580871182361e-05,
+      "loss": 0.9814,
+      "step": 7277
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.678487784352189e-05,
+      "loss": 0.7453,
+      "step": 7278
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6783946866263542e-05,
+      "loss": 0.9341,
+      "step": 7279
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6783015780063503e-05,
+      "loss": 0.7946,
+      "step": 7280
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6782084584936734e-05,
+      "loss": 0.8827,
+      "step": 7281
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.678115328089818e-05,
+      "loss": 0.827,
+      "step": 7282
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6780221867962806e-05,
+      "loss": 0.8867,
+      "step": 7283
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6779290346145563e-05,
+      "loss": 0.7836,
+      "step": 7284
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6778358715461416e-05,
+      "loss": 0.8755,
+      "step": 7285
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6777426975925318e-05,
+      "loss": 0.8736,
+      "step": 7286
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6776495127552236e-05,
+      "loss": 0.8185,
+      "step": 7287
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6775563170357134e-05,
+      "loss": 0.8823,
+      "step": 7288
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6774631104354976e-05,
+      "loss": 0.9728,
+      "step": 7289
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6773698929560732e-05,
+      "loss": 0.9238,
+      "step": 7290
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6772766645989372e-05,
+      "loss": 0.8145,
+      "step": 7291
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.677183425365587e-05,
+      "loss": 0.8911,
+      "step": 7292
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6770901752575186e-05,
+      "loss": 0.9708,
+      "step": 7293
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6769969142762313e-05,
+      "loss": 0.6901,
+      "step": 7294
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6769036424232213e-05,
+      "loss": 0.9527,
+      "step": 7295
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6768103596999874e-05,
+      "loss": 0.7825,
+      "step": 7296
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6767170661080273e-05,
+      "loss": 0.8719,
+      "step": 7297
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.676623761648839e-05,
+      "loss": 0.7347,
+      "step": 7298
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6765304463239206e-05,
+      "loss": 0.8337,
+      "step": 7299
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.676437120134771e-05,
+      "loss": 0.7798,
+      "step": 7300
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6763437830828896e-05,
+      "loss": 0.9193,
+      "step": 7301
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6762504351697738e-05,
+      "loss": 0.9541,
+      "step": 7302
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6761570763969237e-05,
+      "loss": 0.6847,
+      "step": 7303
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.676063706765838e-05,
+      "loss": 0.9107,
+      "step": 7304
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6759703262780167e-05,
+      "loss": 0.8443,
+      "step": 7305
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6758769349349586e-05,
+      "loss": 0.802,
+      "step": 7306
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.675783532738164e-05,
+      "loss": 0.7898,
+      "step": 7307
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.675690119689133e-05,
+      "loss": 0.7674,
+      "step": 7308
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.675596695789365e-05,
+      "loss": 0.8064,
+      "step": 7309
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6755032610403606e-05,
+      "loss": 0.9264,
+      "step": 7310
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6754098154436204e-05,
+      "loss": 0.9198,
+      "step": 7311
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.675316359000645e-05,
+      "loss": 0.8791,
+      "step": 7312
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6752228917129347e-05,
+      "loss": 0.7681,
+      "step": 7313
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.675129413581991e-05,
+      "loss": 0.8781,
+      "step": 7314
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6750359246093154e-05,
+      "loss": 0.8526,
+      "step": 7315
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6749424247964082e-05,
+      "loss": 0.8442,
+      "step": 7316
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6748489141447716e-05,
+      "loss": 0.7802,
+      "step": 7317
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6747553926559072e-05,
+      "loss": 0.9722,
+      "step": 7318
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6746618603313165e-05,
+      "loss": 0.7934,
+      "step": 7319
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6745683171725015e-05,
+      "loss": 0.8954,
+      "step": 7320
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.674474763180965e-05,
+      "loss": 0.8374,
+      "step": 7321
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.674381198358209e-05,
+      "loss": 0.7711,
+      "step": 7322
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6742876227057356e-05,
+      "loss": 0.847,
+      "step": 7323
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6741940362250485e-05,
+      "loss": 0.8187,
+      "step": 7324
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6741004389176496e-05,
+      "loss": 0.9161,
+      "step": 7325
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6740068307850423e-05,
+      "loss": 0.8392,
+      "step": 7326
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.67391321182873e-05,
+      "loss": 0.7871,
+      "step": 7327
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.673819582050216e-05,
+      "loss": 0.8101,
+      "step": 7328
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6737259414510038e-05,
+      "loss": 0.7186,
+      "step": 7329
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.673632290032597e-05,
+      "loss": 0.9427,
+      "step": 7330
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6735386277965e-05,
+      "loss": 0.9565,
+      "step": 7331
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6734449547442165e-05,
+      "loss": 0.6796,
+      "step": 7332
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.673351270877251e-05,
+      "loss": 0.9003,
+      "step": 7333
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6732575761971078e-05,
+      "loss": 0.7619,
+      "step": 7334
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6731638707052917e-05,
+      "loss": 0.8008,
+      "step": 7335
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6730701544033072e-05,
+      "loss": 0.9473,
+      "step": 7336
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6729764272926594e-05,
+      "loss": 0.8854,
+      "step": 7337
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6728826893748535e-05,
+      "loss": 0.8764,
+      "step": 7338
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.672788940651395e-05,
+      "loss": 0.8518,
+      "step": 7339
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6726951811237887e-05,
+      "loss": 0.8124,
+      "step": 7340
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.672601410793541e-05,
+      "loss": 0.855,
+      "step": 7341
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6725076296621578e-05,
+      "loss": 0.8042,
+      "step": 7342
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.672413837731144e-05,
+      "loss": 0.7701,
+      "step": 7343
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.672320035002007e-05,
+      "loss": 0.8577,
+      "step": 7344
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6722262214762527e-05,
+      "loss": 0.8014,
+      "step": 7345
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6721323971553877e-05,
+      "loss": 0.8495,
+      "step": 7346
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6720385620409186e-05,
+      "loss": 0.7778,
+      "step": 7347
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6719447161343523e-05,
+      "loss": 0.9978,
+      "step": 7348
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6718508594371955e-05,
+      "loss": 0.8399,
+      "step": 7349
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6717569919509565e-05,
+      "loss": 0.937,
+      "step": 7350
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6716631136771413e-05,
+      "loss": 0.8674,
+      "step": 7351
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6715692246172584e-05,
+      "loss": 0.8662,
+      "step": 7352
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.671475324772815e-05,
+      "loss": 0.7391,
+      "step": 7353
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.67138141414532e-05,
+      "loss": 0.8852,
+      "step": 7354
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.67128749273628e-05,
+      "loss": 0.7428,
+      "step": 7355
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6711935605472043e-05,
+      "loss": 0.866,
+      "step": 7356
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6710996175796012e-05,
+      "loss": 0.857,
+      "step": 7357
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.671005663834979e-05,
+      "loss": 0.809,
+      "step": 7358
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6709116993148468e-05,
+      "loss": 0.8197,
+      "step": 7359
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6708177240207133e-05,
+      "loss": 0.8323,
+      "step": 7360
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.670723737954088e-05,
+      "loss": 0.8135,
+      "step": 7361
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6706297411164797e-05,
+      "loss": 0.8745,
+      "step": 7362
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.670535733509398e-05,
+      "loss": 0.7417,
+      "step": 7363
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.670441715134353e-05,
+      "loss": 0.7777,
+      "step": 7364
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6703476859928537e-05,
+      "loss": 0.8287,
+      "step": 7365
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6702536460864108e-05,
+      "loss": 0.9608,
+      "step": 7366
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.670159595416534e-05,
+      "loss": 0.7534,
+      "step": 7367
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6700655339847346e-05,
+      "loss": 0.8416,
+      "step": 7368
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6699714617925216e-05,
+      "loss": 0.9452,
+      "step": 7369
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6698773788414066e-05,
+      "loss": 0.8628,
+      "step": 7370
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6697832851329002e-05,
+      "loss": 0.9353,
+      "step": 7371
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6696891806685137e-05,
+      "loss": 0.7935,
+      "step": 7372
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6695950654497582e-05,
+      "loss": 0.9728,
+      "step": 7373
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.669500939478145e-05,
+      "loss": 0.9375,
+      "step": 7374
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6694068027551856e-05,
+      "loss": 0.8274,
+      "step": 7375
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6693126552823916e-05,
+      "loss": 0.81,
+      "step": 7376
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6692184970612752e-05,
+      "loss": 0.8668,
+      "step": 7377
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.669124328093348e-05,
+      "loss": 0.8164,
+      "step": 7378
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6690301483801233e-05,
+      "loss": 0.8626,
+      "step": 7379
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6689359579231122e-05,
+      "loss": 1.0085,
+      "step": 7380
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.668841756723828e-05,
+      "loss": 0.7792,
+      "step": 7381
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6687475447837833e-05,
+      "loss": 0.7864,
+      "step": 7382
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6686533221044907e-05,
+      "loss": 0.7169,
+      "step": 7383
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.668559088687464e-05,
+      "loss": 0.8527,
+      "step": 7384
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.668464844534216e-05,
+      "loss": 0.8571,
+      "step": 7385
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6683705896462603e-05,
+      "loss": 0.8262,
+      "step": 7386
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.66827632402511e-05,
+      "loss": 0.7382,
+      "step": 7387
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.66818204767228e-05,
+      "loss": 0.8815,
+      "step": 7388
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.668087760589283e-05,
+      "loss": 0.8699,
+      "step": 7389
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6679934627776343e-05,
+      "loss": 0.9157,
+      "step": 7390
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.667899154238847e-05,
+      "loss": 0.9615,
+      "step": 7391
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6678048349744366e-05,
+      "loss": 0.8356,
+      "step": 7392
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6677105049859175e-05,
+      "loss": 0.842,
+      "step": 7393
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.667616164274804e-05,
+      "loss": 1.0023,
+      "step": 7394
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6675218128426117e-05,
+      "loss": 0.8614,
+      "step": 7395
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6674274506908554e-05,
+      "loss": 0.8627,
+      "step": 7396
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6673330778210508e-05,
+      "loss": 0.8876,
+      "step": 7397
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6672386942347127e-05,
+      "loss": 0.8087,
+      "step": 7398
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6671442999333577e-05,
+      "loss": 0.8601,
+      "step": 7399
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6670498949185013e-05,
+      "loss": 0.8782,
+      "step": 7400
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6669554791916593e-05,
+      "loss": 0.664,
+      "step": 7401
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6668610527543476e-05,
+      "loss": 0.9256,
+      "step": 7402
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6667666156080837e-05,
+      "loss": 0.8042,
+      "step": 7403
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.666672167754383e-05,
+      "loss": 0.805,
+      "step": 7404
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.666577709194763e-05,
+      "loss": 0.8198,
+      "step": 7405
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6664832399307402e-05,
+      "loss": 0.8895,
+      "step": 7406
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6663887599638316e-05,
+      "loss": 0.8924,
+      "step": 7407
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6662942692955548e-05,
+      "loss": 0.9187,
+      "step": 7408
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6661997679274263e-05,
+      "loss": 0.7562,
+      "step": 7409
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.666105255860965e-05,
+      "loss": 0.8933,
+      "step": 7410
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6660107330976876e-05,
+      "loss": 0.8526,
+      "step": 7411
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6659161996391125e-05,
+      "loss": 0.953,
+      "step": 7412
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.665821655486758e-05,
+      "loss": 0.8561,
+      "step": 7413
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6657271006421412e-05,
+      "loss": 0.6487,
+      "step": 7414
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.665632535106782e-05,
+      "loss": 0.9547,
+      "step": 7415
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6655379588821983e-05,
+      "loss": 0.8872,
+      "step": 7416
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.665443371969909e-05,
+      "loss": 0.8955,
+      "step": 7417
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6653487743714328e-05,
+      "loss": 0.7478,
+      "step": 7418
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6652541660882894e-05,
+      "loss": 0.9117,
+      "step": 7419
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.665159547121997e-05,
+      "loss": 0.8579,
+      "step": 7420
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6650649174740766e-05,
+      "loss": 0.9355,
+      "step": 7421
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6649702771460464e-05,
+      "loss": 0.9222,
+      "step": 7422
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.664875626139427e-05,
+      "loss": 0.7453,
+      "step": 7423
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.664780964455738e-05,
+      "loss": 0.8899,
+      "step": 7424
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6646862920965e-05,
+      "loss": 0.8021,
+      "step": 7425
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.664591609063233e-05,
+      "loss": 0.9454,
+      "step": 7426
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6644969153574574e-05,
+      "loss": 0.9095,
+      "step": 7427
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6644022109806938e-05,
+      "loss": 0.8556,
+      "step": 7428
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.664307495934464e-05,
+      "loss": 0.787,
+      "step": 7429
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.664212770220287e-05,
+      "loss": 0.9096,
+      "step": 7430
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6641180338396867e-05,
+      "loss": 0.8919,
+      "step": 7431
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.664023286794182e-05,
+      "loss": 0.8461,
+      "step": 7432
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6639285290852954e-05,
+      "loss": 0.8549,
+      "step": 7433
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.663833760714549e-05,
+      "loss": 0.8125,
+      "step": 7434
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6637389816834638e-05,
+      "loss": 0.9319,
+      "step": 7435
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6636441919935627e-05,
+      "loss": 0.9271,
+      "step": 7436
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6635493916463673e-05,
+      "loss": 0.756,
+      "step": 7437
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6634545806434e-05,
+      "loss": 0.8053,
+      "step": 7438
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6633597589861836e-05,
+      "loss": 0.8373,
+      "step": 7439
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6632649266762406e-05,
+      "loss": 0.8987,
+      "step": 7440
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.663170083715094e-05,
+      "loss": 0.8174,
+      "step": 7441
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.663075230104267e-05,
+      "loss": 0.8688,
+      "step": 7442
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6629803658452825e-05,
+      "loss": 0.7835,
+      "step": 7443
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6628854909396643e-05,
+      "loss": 0.8532,
+      "step": 7444
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6627906053889354e-05,
+      "loss": 0.8212,
+      "step": 7445
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6626957091946203e-05,
+      "loss": 1.0142,
+      "step": 7446
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6626008023582425e-05,
+      "loss": 0.8229,
+      "step": 7447
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.662505884881326e-05,
+      "loss": 0.9048,
+      "step": 7448
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.662410956765395e-05,
+      "loss": 0.83,
+      "step": 7449
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6623160180119745e-05,
+      "loss": 0.7172,
+      "step": 7450
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6622210686225882e-05,
+      "loss": 0.8775,
+      "step": 7451
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6621261085987613e-05,
+      "loss": 0.834,
+      "step": 7452
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.662031137942019e-05,
+      "loss": 0.774,
+      "step": 7453
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6619361566538863e-05,
+      "loss": 0.8409,
+      "step": 7454
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6618411647358886e-05,
+      "loss": 0.7173,
+      "step": 7455
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6617461621895508e-05,
+      "loss": 0.8799,
+      "step": 7456
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.661651149016399e-05,
+      "loss": 0.8929,
+      "step": 7457
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6615561252179585e-05,
+      "loss": 0.9743,
+      "step": 7458
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6614610907957556e-05,
+      "loss": 0.8288,
+      "step": 7459
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6613660457513168e-05,
+      "loss": 0.9463,
+      "step": 7460
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.661270990086168e-05,
+      "loss": 0.7928,
+      "step": 7461
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6611759238018356e-05,
+      "loss": 0.8352,
+      "step": 7462
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6610808468998462e-05,
+      "loss": 0.9094,
+      "step": 7463
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.660985759381727e-05,
+      "loss": 0.867,
+      "step": 7464
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.660890661249005e-05,
+      "loss": 1.0212,
+      "step": 7465
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6607955525032066e-05,
+      "loss": 0.9488,
+      "step": 7466
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6607004331458598e-05,
+      "loss": 0.9259,
+      "step": 7467
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.660605303178492e-05,
+      "loss": 0.7427,
+      "step": 7468
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.660510162602631e-05,
+      "loss": 0.7694,
+      "step": 7469
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.660415011419804e-05,
+      "loss": 0.8022,
+      "step": 7470
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6603198496315403e-05,
+      "loss": 0.767,
+      "step": 7471
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6602246772393665e-05,
+      "loss": 0.9419,
+      "step": 7472
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6601294942448122e-05,
+      "loss": 0.9347,
+      "step": 7473
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.660034300649405e-05,
+      "loss": 0.8224,
+      "step": 7474
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.659939096454674e-05,
+      "loss": 0.843,
+      "step": 7475
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6598438816621484e-05,
+      "loss": 0.8604,
+      "step": 7476
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6597486562733565e-05,
+      "loss": 0.7605,
+      "step": 7477
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.659653420289828e-05,
+      "loss": 0.8695,
+      "step": 7478
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6595581737130923e-05,
+      "loss": 0.9509,
+      "step": 7479
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.659462916544679e-05,
+      "loss": 0.8372,
+      "step": 7480
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.659367648786117e-05,
+      "loss": 0.7862,
+      "step": 7481
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6592723704389374e-05,
+      "loss": 0.8829,
+      "step": 7482
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.659177081504669e-05,
+      "loss": 0.8315,
+      "step": 7483
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.659081781984843e-05,
+      "loss": 0.9518,
+      "step": 7484
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6589864718809896e-05,
+      "loss": 1.024,
+      "step": 7485
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.658891151194639e-05,
+      "loss": 0.8925,
+      "step": 7486
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6587958199273225e-05,
+      "loss": 0.736,
+      "step": 7487
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6587004780805704e-05,
+      "loss": 1.0304,
+      "step": 7488
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.658605125655914e-05,
+      "loss": 0.9105,
+      "step": 7489
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6585097626548848e-05,
+      "loss": 0.9979,
+      "step": 7490
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6584143890790138e-05,
+      "loss": 0.9464,
+      "step": 7491
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6583190049298327e-05,
+      "loss": 0.9518,
+      "step": 7492
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6582236102088734e-05,
+      "loss": 0.7342,
+      "step": 7493
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6581282049176674e-05,
+      "loss": 1.0049,
+      "step": 7494
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6580327890577476e-05,
+      "loss": 0.8347,
+      "step": 7495
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6579373626306453e-05,
+      "loss": 0.8602,
+      "step": 7496
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6578419256378935e-05,
+      "loss": 0.9263,
+      "step": 7497
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.657746478081025e-05,
+      "loss": 0.85,
+      "step": 7498
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.657651019961572e-05,
+      "loss": 0.8369,
+      "step": 7499
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6575555512810678e-05,
+      "loss": 0.7424,
+      "step": 7500
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6574600720410455e-05,
+      "loss": 0.9343,
+      "step": 7501
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.657364582243038e-05,
+      "loss": 1.0981,
+      "step": 7502
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6572690818885796e-05,
+      "loss": 0.8329,
+      "step": 7503
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.657173570979203e-05,
+      "loss": 0.8489,
+      "step": 7504
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.657078049516442e-05,
+      "loss": 0.6924,
+      "step": 7505
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6569825175018315e-05,
+      "loss": 0.8318,
+      "step": 7506
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6568869749369044e-05,
+      "loss": 0.8507,
+      "step": 7507
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6567914218231963e-05,
+      "loss": 0.8084,
+      "step": 7508
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6566958581622404e-05,
+      "loss": 1.0617,
+      "step": 7509
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6566002839555722e-05,
+      "loss": 0.8567,
+      "step": 7510
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.656504699204726e-05,
+      "loss": 0.8362,
+      "step": 7511
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.656409103911237e-05,
+      "loss": 0.822,
+      "step": 7512
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6563134980766406e-05,
+      "loss": 0.7696,
+      "step": 7513
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6562178817024713e-05,
+      "loss": 0.8984,
+      "step": 7514
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6561222547902656e-05,
+      "loss": 0.8542,
+      "step": 7515
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.656026617341558e-05,
+      "loss": 0.8521,
+      "step": 7516
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.655930969357886e-05,
+      "loss": 0.8834,
+      "step": 7517
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.655835310840784e-05,
+      "loss": 0.7498,
+      "step": 7518
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6557396417917885e-05,
+      "loss": 0.873,
+      "step": 7519
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6556439622124364e-05,
+      "loss": 0.739,
+      "step": 7520
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6555482721042636e-05,
+      "loss": 0.9357,
+      "step": 7521
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.655452571468807e-05,
+      "loss": 0.9005,
+      "step": 7522
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6553568603076036e-05,
+      "loss": 0.9481,
+      "step": 7523
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6552611386221902e-05,
+      "loss": 0.8322,
+      "step": 7524
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.655165406414104e-05,
+      "loss": 0.9049,
+      "step": 7525
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6550696636848823e-05,
+      "loss": 0.8577,
+      "step": 7526
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6549739104360627e-05,
+      "loss": 0.8071,
+      "step": 7527
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6548781466691828e-05,
+      "loss": 0.8226,
+      "step": 7528
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6547823723857806e-05,
+      "loss": 0.8692,
+      "step": 7529
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6546865875873938e-05,
+      "loss": 0.8252,
+      "step": 7530
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6545907922755605e-05,
+      "loss": 0.6749,
+      "step": 7531
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.65449498645182e-05,
+      "loss": 0.8117,
+      "step": 7532
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6543991701177094e-05,
+      "loss": 0.8427,
+      "step": 7533
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6543033432747687e-05,
+      "loss": 0.936,
+      "step": 7534
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.654207505924536e-05,
+      "loss": 0.8652,
+      "step": 7535
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6541116580685504e-05,
+      "loss": 0.8877,
+      "step": 7536
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6540157997083516e-05,
+      "loss": 0.7934,
+      "step": 7537
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6539199308454783e-05,
+      "loss": 1.0355,
+      "step": 7538
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6538240514814702e-05,
+      "loss": 0.87,
+      "step": 7539
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6537281616178674e-05,
+      "loss": 0.816,
+      "step": 7540
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.653632261256209e-05,
+      "loss": 0.8949,
+      "step": 7541
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6535363503980365e-05,
+      "loss": 0.8295,
+      "step": 7542
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6534404290448885e-05,
+      "loss": 0.7997,
+      "step": 7543
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.653344497198306e-05,
+      "loss": 0.923,
+      "step": 7544
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6532485548598293e-05,
+      "loss": 0.8384,
+      "step": 7545
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6531526020309997e-05,
+      "loss": 0.8522,
+      "step": 7546
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6530566387133577e-05,
+      "loss": 0.8288,
+      "step": 7547
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6529606649084446e-05,
+      "loss": 0.8367,
+      "step": 7548
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6528646806178016e-05,
+      "loss": 1.0805,
+      "step": 7549
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6527686858429694e-05,
+      "loss": 0.8593,
+      "step": 7550
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.65267268058549e-05,
+      "loss": 0.8806,
+      "step": 7551
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.652576664846906e-05,
+      "loss": 0.9171,
+      "step": 7552
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6524806386287578e-05,
+      "loss": 0.9609,
+      "step": 7553
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.652384601932588e-05,
+      "loss": 1.0149,
+      "step": 7554
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6522885547599394e-05,
+      "loss": 0.9066,
+      "step": 7555
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.652192497112354e-05,
+      "loss": 0.8251,
+      "step": 7556
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.652096428991374e-05,
+      "loss": 0.8844,
+      "step": 7557
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.652000350398543e-05,
+      "loss": 0.7893,
+      "step": 7558
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6519042613354027e-05,
+      "loss": 0.8129,
+      "step": 7559
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6518081618034973e-05,
+      "loss": 0.8569,
+      "step": 7560
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6517120518043693e-05,
+      "loss": 0.7383,
+      "step": 7561
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.651615931339563e-05,
+      "loss": 0.8069,
+      "step": 7562
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6515198004106204e-05,
+      "loss": 0.7263,
+      "step": 7563
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6514236590190867e-05,
+      "loss": 0.7722,
+      "step": 7564
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6513275071665057e-05,
+      "loss": 0.84,
+      "step": 7565
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6512313448544207e-05,
+      "loss": 0.6888,
+      "step": 7566
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6511351720843763e-05,
+      "loss": 0.8327,
+      "step": 7567
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.651038988857917e-05,
+      "loss": 0.8843,
+      "step": 7568
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6509427951765876e-05,
+      "loss": 0.8763,
+      "step": 7569
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.650846591041932e-05,
+      "loss": 0.8255,
+      "step": 7570
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6507503764554963e-05,
+      "loss": 0.8509,
+      "step": 7571
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6506541514188244e-05,
+      "loss": 0.8961,
+      "step": 7572
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6505579159334628e-05,
+      "loss": 0.8197,
+      "step": 7573
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6504616700009557e-05,
+      "loss": 0.73,
+      "step": 7574
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.65036541362285e-05,
+      "loss": 0.9091,
+      "step": 7575
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.65026914680069e-05,
+      "loss": 0.8345,
+      "step": 7576
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6501728695360224e-05,
+      "loss": 0.8169,
+      "step": 7577
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6500765818303935e-05,
+      "loss": 1.0152,
+      "step": 7578
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.649980283685349e-05,
+      "loss": 0.8793,
+      "step": 7579
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6498839751024357e-05,
+      "loss": 0.8507,
+      "step": 7580
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6497876560832e-05,
+      "loss": 0.8663,
+      "step": 7581
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6496913266291895e-05,
+      "loss": 0.7542,
+      "step": 7582
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6495949867419495e-05,
+      "loss": 0.8329,
+      "step": 7583
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6494986364230285e-05,
+      "loss": 0.7546,
+      "step": 7584
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.649402275673973e-05,
+      "loss": 0.762,
+      "step": 7585
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6493059044963312e-05,
+      "loss": 0.9608,
+      "step": 7586
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6492095228916496e-05,
+      "loss": 0.7594,
+      "step": 7587
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.649113130861477e-05,
+      "loss": 0.7902,
+      "step": 7588
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6490167284073607e-05,
+      "loss": 0.8618,
+      "step": 7589
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6489203155308488e-05,
+      "loss": 0.8481,
+      "step": 7590
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.64882389223349e-05,
+      "loss": 0.8527,
+      "step": 7591
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6487274585168327e-05,
+      "loss": 1.0402,
+      "step": 7592
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6486310143824252e-05,
+      "loss": 0.8607,
+      "step": 7593
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.648534559831816e-05,
+      "loss": 0.7874,
+      "step": 7594
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6484380948665547e-05,
+      "loss": 0.7223,
+      "step": 7595
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6483416194881904e-05,
+      "loss": 0.7976,
+      "step": 7596
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.648245133698272e-05,
+      "loss": 0.8943,
+      "step": 7597
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6481486374983488e-05,
+      "loss": 0.8351,
+      "step": 7598
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6480521308899705e-05,
+      "loss": 0.8903,
+      "step": 7599
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6479556138746877e-05,
+      "loss": 0.9738,
+      "step": 7600
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.647859086454049e-05,
+      "loss": 0.9572,
+      "step": 7601
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6477625486296057e-05,
+      "loss": 0.9379,
+      "step": 7602
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6476660004029073e-05,
+      "loss": 0.8485,
+      "step": 7603
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6475694417755046e-05,
+      "loss": 0.9131,
+      "step": 7604
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.647472872748948e-05,
+      "loss": 0.7625,
+      "step": 7605
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6473762933247885e-05,
+      "loss": 0.8215,
+      "step": 7606
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6472797035045766e-05,
+      "loss": 0.7966,
+      "step": 7607
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6471831032898643e-05,
+      "loss": 0.8747,
+      "step": 7608
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.647086492682202e-05,
+      "loss": 0.8914,
+      "step": 7609
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6469898716831414e-05,
+      "loss": 0.8367,
+      "step": 7610
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6468932402942343e-05,
+      "loss": 1.0024,
+      "step": 7611
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6467965985170326e-05,
+      "loss": 0.7919,
+      "step": 7612
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6466999463530877e-05,
+      "loss": 0.8126,
+      "step": 7613
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.646603283803952e-05,
+      "loss": 1.0607,
+      "step": 7614
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.646506610871178e-05,
+      "loss": 0.8676,
+      "step": 7615
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.646409927556318e-05,
+      "loss": 0.7926,
+      "step": 7616
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6463132338609243e-05,
+      "loss": 0.9078,
+      "step": 7617
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6462165297865503e-05,
+      "loss": 0.7704,
+      "step": 7618
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.646119815334748e-05,
+      "loss": 0.8863,
+      "step": 7619
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6460230905070714e-05,
+      "loss": 0.7792,
+      "step": 7620
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6459263553050738e-05,
+      "loss": 0.8219,
+      "step": 7621
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.645829609730308e-05,
+      "loss": 0.8899,
+      "step": 7622
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6457328537843278e-05,
+      "loss": 0.7593,
+      "step": 7623
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6456360874686873e-05,
+      "loss": 0.9512,
+      "step": 7624
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6455393107849404e-05,
+      "loss": 0.8518,
+      "step": 7625
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.645442523734641e-05,
+      "loss": 0.7749,
+      "step": 7626
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.645345726319343e-05,
+      "loss": 0.8135,
+      "step": 7627
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.645248918540602e-05,
+      "loss": 0.7877,
+      "step": 7628
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6451521003999714e-05,
+      "loss": 0.9278,
+      "step": 7629
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.645055271899007e-05,
+      "loss": 0.838,
+      "step": 7630
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6449584330392627e-05,
+      "loss": 0.8331,
+      "step": 7631
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6448615838222942e-05,
+      "loss": 0.8597,
+      "step": 7632
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.644764724249657e-05,
+      "loss": 0.8684,
+      "step": 7633
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6446678543229066e-05,
+      "loss": 0.8022,
+      "step": 7634
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6445709740435974e-05,
+      "loss": 0.8423,
+      "step": 7635
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6444740834132867e-05,
+      "loss": 0.822,
+      "step": 7636
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6443771824335294e-05,
+      "loss": 0.7881,
+      "step": 7637
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6442802711058826e-05,
+      "loss": 0.8309,
+      "step": 7638
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.644183349431901e-05,
+      "loss": 0.9838,
+      "step": 7639
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.644086417413143e-05,
+      "loss": 0.822,
+      "step": 7640
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6439894750511634e-05,
+      "loss": 0.9246,
+      "step": 7641
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6438925223475204e-05,
+      "loss": 0.7447,
+      "step": 7642
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.64379555930377e-05,
+      "loss": 0.939,
+      "step": 7643
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6436985859214698e-05,
+      "loss": 0.8521,
+      "step": 7644
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.643601602202177e-05,
+      "loss": 0.8187,
+      "step": 7645
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6435046081474487e-05,
+      "loss": 0.7417,
+      "step": 7646
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.643407603758843e-05,
+      "loss": 0.8863,
+      "step": 7647
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6433105890379168e-05,
+      "loss": 1.0449,
+      "step": 7648
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6432135639862296e-05,
+      "loss": 0.8823,
+      "step": 7649
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6431165286053377e-05,
+      "loss": 0.7945,
+      "step": 7650
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6430194828968005e-05,
+      "loss": 0.8894,
+      "step": 7651
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6429224268621765e-05,
+      "loss": 0.7707,
+      "step": 7652
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6428253605030238e-05,
+      "loss": 1.0359,
+      "step": 7653
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.642728283820901e-05,
+      "loss": 0.7594,
+      "step": 7654
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6426311968173677e-05,
+      "loss": 0.8785,
+      "step": 7655
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6425340994939824e-05,
+      "loss": 0.8812,
+      "step": 7656
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.642436991852305e-05,
+      "loss": 0.7928,
+      "step": 7657
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.642339873893894e-05,
+      "loss": 0.8884,
+      "step": 7658
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6422427456203097e-05,
+      "loss": 0.8842,
+      "step": 7659
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.642145607033112e-05,
+      "loss": 0.9602,
+      "step": 7660
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.64204845813386e-05,
+      "loss": 0.8652,
+      "step": 7661
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6419512989241147e-05,
+      "loss": 0.8112,
+      "step": 7662
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6418541294054356e-05,
+      "loss": 0.7983,
+      "step": 7663
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6417569495793838e-05,
+      "loss": 0.763,
+      "step": 7664
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6416597594475193e-05,
+      "loss": 0.9822,
+      "step": 7665
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.641562559011403e-05,
+      "loss": 0.7986,
+      "step": 7666
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6414653482725962e-05,
+      "loss": 0.7627,
+      "step": 7667
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.64136812723266e-05,
+      "loss": 0.8654,
+      "step": 7668
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6412708958931547e-05,
+      "loss": 0.9481,
+      "step": 7669
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.641173654255643e-05,
+      "loss": 0.8564,
+      "step": 7670
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6410764023216855e-05,
+      "loss": 0.8608,
+      "step": 7671
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6409791400928445e-05,
+      "loss": 0.8031,
+      "step": 7672
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6408818675706812e-05,
+      "loss": 0.8526,
+      "step": 7673
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6407845847567586e-05,
+      "loss": 0.854,
+      "step": 7674
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6406872916526384e-05,
+      "loss": 0.9223,
+      "step": 7675
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6405899882598833e-05,
+      "loss": 0.7878,
+      "step": 7676
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6404926745800554e-05,
+      "loss": 0.8405,
+      "step": 7677
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.640395350614718e-05,
+      "loss": 0.7216,
+      "step": 7678
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6402980163654335e-05,
+      "loss": 0.9354,
+      "step": 7679
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6402006718337654e-05,
+      "loss": 0.7985,
+      "step": 7680
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6401033170212763e-05,
+      "loss": 0.8466,
+      "step": 7681
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6400059519295304e-05,
+      "loss": 0.845,
+      "step": 7682
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.639908576560091e-05,
+      "loss": 0.9554,
+      "step": 7683
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6398111909145214e-05,
+      "loss": 0.8293,
+      "step": 7684
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.639713794994386e-05,
+      "loss": 0.8322,
+      "step": 7685
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6396163888012485e-05,
+      "loss": 0.8083,
+      "step": 7686
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6395189723366735e-05,
+      "loss": 0.7293,
+      "step": 7687
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6394215456022248e-05,
+      "loss": 1.0131,
+      "step": 7688
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6393241085994674e-05,
+      "loss": 0.878,
+      "step": 7689
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6392266613299663e-05,
+      "loss": 0.8,
+      "step": 7690
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6391292037952858e-05,
+      "loss": 0.7217,
+      "step": 7691
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.639031735996991e-05,
+      "loss": 0.7371,
+      "step": 7692
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6389342579366478e-05,
+      "loss": 0.9385,
+      "step": 7693
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6388367696158206e-05,
+      "loss": 0.908,
+      "step": 7694
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6387392710360752e-05,
+      "loss": 0.765,
+      "step": 7695
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.638641762198978e-05,
+      "loss": 0.7881,
+      "step": 7696
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.638544243106094e-05,
+      "loss": 0.9311,
+      "step": 7697
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.63844671375899e-05,
+      "loss": 0.6132,
+      "step": 7698
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6383491741592316e-05,
+      "loss": 0.9009,
+      "step": 7699
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.638251624308385e-05,
+      "loss": 0.9218,
+      "step": 7700
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6381540642080175e-05,
+      "loss": 0.8397,
+      "step": 7701
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6380564938596953e-05,
+      "loss": 0.8479,
+      "step": 7702
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6379589132649854e-05,
+      "loss": 0.9146,
+      "step": 7703
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6378613224254546e-05,
+      "loss": 0.6929,
+      "step": 7704
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6377637213426704e-05,
+      "loss": 0.9278,
+      "step": 7705
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6376661100181994e-05,
+      "loss": 0.8501,
+      "step": 7706
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6375684884536106e-05,
+      "loss": 0.9201,
+      "step": 7707
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.63747085665047e-05,
+      "loss": 0.9014,
+      "step": 7708
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6373732146103466e-05,
+      "loss": 0.7382,
+      "step": 7709
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.637275562334808e-05,
+      "loss": 0.7885,
+      "step": 7710
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6371778998254225e-05,
+      "loss": 0.8094,
+      "step": 7711
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6370802270837587e-05,
+      "loss": 0.8109,
+      "step": 7712
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6369825441113843e-05,
+      "loss": 0.8141,
+      "step": 7713
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6368848509098687e-05,
+      "loss": 0.8912,
+      "step": 7714
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6367871474807802e-05,
+      "loss": 0.7805,
+      "step": 7715
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.636689433825688e-05,
+      "loss": 0.9041,
+      "step": 7716
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6365917099461616e-05,
+      "loss": 0.8326,
+      "step": 7717
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6364939758437695e-05,
+      "loss": 0.8873,
+      "step": 7718
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.636396231520082e-05,
+      "loss": 1.0018,
+      "step": 7719
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.636298476976669e-05,
+      "loss": 0.8626,
+      "step": 7720
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6362007122150993e-05,
+      "loss": 0.9045,
+      "step": 7721
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6361029372369433e-05,
+      "loss": 0.8106,
+      "step": 7722
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6360051520437716e-05,
+      "loss": 0.9306,
+      "step": 7723
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6359073566371538e-05,
+      "loss": 0.6911,
+      "step": 7724
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6358095510186607e-05,
+      "loss": 0.8915,
+      "step": 7725
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.635711735189863e-05,
+      "loss": 0.647,
+      "step": 7726
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6356139091523317e-05,
+      "loss": 0.8917,
+      "step": 7727
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.635516072907637e-05,
+      "loss": 0.7582,
+      "step": 7728
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6354182264573507e-05,
+      "loss": 0.8304,
+      "step": 7729
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.635320369803044e-05,
+      "loss": 0.8855,
+      "step": 7730
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.635222502946288e-05,
+      "loss": 0.9282,
+      "step": 7731
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6351246258886546e-05,
+      "loss": 0.8352,
+      "step": 7732
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6350267386317156e-05,
+      "loss": 0.848,
+      "step": 7733
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.634928841177043e-05,
+      "loss": 0.8044,
+      "step": 7734
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.634830933526209e-05,
+      "loss": 0.8227,
+      "step": 7735
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6347330156807856e-05,
+      "loss": 0.8191,
+      "step": 7736
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6346350876423452e-05,
+      "loss": 0.8077,
+      "step": 7737
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6345371494124607e-05,
+      "loss": 0.8581,
+      "step": 7738
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6344392009927047e-05,
+      "loss": 0.9397,
+      "step": 7739
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6343412423846498e-05,
+      "loss": 0.8454,
+      "step": 7740
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.63424327358987e-05,
+      "loss": 0.8146,
+      "step": 7741
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6341452946099374e-05,
+      "loss": 0.9212,
+      "step": 7742
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6340473054464263e-05,
+      "loss": 0.8184,
+      "step": 7743
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.63394930610091e-05,
+      "loss": 0.8088,
+      "step": 7744
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.633851296574962e-05,
+      "loss": 0.644,
+      "step": 7745
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6337532768701568e-05,
+      "loss": 0.9273,
+      "step": 7746
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6336552469880676e-05,
+      "loss": 0.7804,
+      "step": 7747
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6335572069302694e-05,
+      "loss": 0.8538,
+      "step": 7748
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6334591566983363e-05,
+      "loss": 0.8971,
+      "step": 7749
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.633361096293843e-05,
+      "loss": 0.7745,
+      "step": 7750
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6332630257183644e-05,
+      "loss": 0.8274,
+      "step": 7751
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.633164944973475e-05,
+      "loss": 0.8728,
+      "step": 7752
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6330668540607498e-05,
+      "loss": 0.7624,
+      "step": 7753
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6329687529817643e-05,
+      "loss": 0.8969,
+      "step": 7754
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6328706417380934e-05,
+      "loss": 0.8504,
+      "step": 7755
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6327725203313133e-05,
+      "loss": 0.7821,
+      "step": 7756
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6326743887629995e-05,
+      "loss": 0.8522,
+      "step": 7757
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.632576247034728e-05,
+      "loss": 0.8305,
+      "step": 7758
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6324780951480745e-05,
+      "loss": 0.8955,
+      "step": 7759
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.632379933104615e-05,
+      "loss": 0.8819,
+      "step": 7760
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6322817609059267e-05,
+      "loss": 0.9322,
+      "step": 7761
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.632183578553585e-05,
+      "loss": 0.9374,
+      "step": 7762
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.632085386049168e-05,
+      "loss": 0.8124,
+      "step": 7763
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.631987183394251e-05,
+      "loss": 0.902,
+      "step": 7764
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6318889705904123e-05,
+      "loss": 0.9442,
+      "step": 7765
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.631790747639228e-05,
+      "loss": 0.8886,
+      "step": 7766
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6316925145422765e-05,
+      "loss": 0.709,
+      "step": 7767
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6315942713011344e-05,
+      "loss": 0.7464,
+      "step": 7768
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.63149601791738e-05,
+      "loss": 0.8062,
+      "step": 7769
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6313977543925907e-05,
+      "loss": 0.8514,
+      "step": 7770
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6312994807283448e-05,
+      "loss": 0.87,
+      "step": 7771
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6312011969262203e-05,
+      "loss": 0.8924,
+      "step": 7772
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6311029029877952e-05,
+      "loss": 0.8685,
+      "step": 7773
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6310045989146486e-05,
+      "loss": 0.8783,
+      "step": 7774
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6309062847083585e-05,
+      "loss": 0.8545,
+      "step": 7775
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6308079603705044e-05,
+      "loss": 0.7012,
+      "step": 7776
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6307096259026647e-05,
+      "loss": 1.0155,
+      "step": 7777
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6306112813064188e-05,
+      "loss": 0.8932,
+      "step": 7778
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6305129265833457e-05,
+      "loss": 0.8958,
+      "step": 7779
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6304145617350255e-05,
+      "loss": 0.9059,
+      "step": 7780
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6303161867630373e-05,
+      "loss": 0.9138,
+      "step": 7781
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6302178016689606e-05,
+      "loss": 0.7866,
+      "step": 7782
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.630119406454376e-05,
+      "loss": 0.9184,
+      "step": 7783
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6300210011208635e-05,
+      "loss": 0.8073,
+      "step": 7784
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.629922585670003e-05,
+      "loss": 0.9101,
+      "step": 7785
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.629824160103375e-05,
+      "loss": 0.7517,
+      "step": 7786
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6297257244225602e-05,
+      "loss": 0.9296,
+      "step": 7787
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6296272786291397e-05,
+      "loss": 0.8608,
+      "step": 7788
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6295288227246936e-05,
+      "loss": 0.7553,
+      "step": 7789
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.629430356710804e-05,
+      "loss": 0.8752,
+      "step": 7790
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.629331880589051e-05,
+      "loss": 0.902,
+      "step": 7791
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.629233394361017e-05,
+      "loss": 1.0266,
+      "step": 7792
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.629134898028283e-05,
+      "loss": 0.8814,
+      "step": 7793
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6290363915924306e-05,
+      "loss": 0.7003,
+      "step": 7794
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6289378750550423e-05,
+      "loss": 0.8604,
+      "step": 7795
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6288393484177e-05,
+      "loss": 0.7849,
+      "step": 7796
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6287408116819855e-05,
+      "loss": 0.8298,
+      "step": 7797
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6286422648494815e-05,
+      "loss": 0.9137,
+      "step": 7798
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6285437079217702e-05,
+      "loss": 0.8455,
+      "step": 7799
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6284451409004352e-05,
+      "loss": 0.8849,
+      "step": 7800
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.628346563787058e-05,
+      "loss": 0.8376,
+      "step": 7801
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.628247976583223e-05,
+      "loss": 0.8951,
+      "step": 7802
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6281493792905124e-05,
+      "loss": 1.027,
+      "step": 7803
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6280507719105097e-05,
+      "loss": 0.8772,
+      "step": 7804
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.627952154444799e-05,
+      "loss": 0.7544,
+      "step": 7805
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6278535268949633e-05,
+      "loss": 0.8676,
+      "step": 7806
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6277548892625867e-05,
+      "loss": 0.8676,
+      "step": 7807
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6276562415492533e-05,
+      "loss": 0.8151,
+      "step": 7808
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6275575837565472e-05,
+      "loss": 0.9409,
+      "step": 7809
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6274589158860523e-05,
+      "loss": 0.9163,
+      "step": 7810
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.627360237939354e-05,
+      "loss": 0.7656,
+      "step": 7811
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.627261549918036e-05,
+      "loss": 0.9559,
+      "step": 7812
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6271628518236836e-05,
+      "loss": 0.9393,
+      "step": 7813
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.627064143657882e-05,
+      "loss": 0.7412,
+      "step": 7814
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6269654254222155e-05,
+      "loss": 0.898,
+      "step": 7815
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.62686669711827e-05,
+      "loss": 1.059,
+      "step": 7816
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6267679587476312e-05,
+      "loss": 0.831,
+      "step": 7817
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.626669210311884e-05,
+      "loss": 0.9559,
+      "step": 7818
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.626570451812615e-05,
+      "loss": 0.9895,
+      "step": 7819
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6264716832514095e-05,
+      "loss": 0.8162,
+      "step": 7820
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6263729046298534e-05,
+      "loss": 0.8383,
+      "step": 7821
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6262741159495336e-05,
+      "loss": 0.8587,
+      "step": 7822
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6261753172120363e-05,
+      "loss": 0.8545,
+      "step": 7823
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.626076508418948e-05,
+      "loss": 0.73,
+      "step": 7824
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6259776895718555e-05,
+      "loss": 0.7267,
+      "step": 7825
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6258788606723457e-05,
+      "loss": 0.7883,
+      "step": 7826
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.625780021722006e-05,
+      "loss": 0.82,
+      "step": 7827
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.625681172722423e-05,
+      "loss": 0.7933,
+      "step": 7828
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.625582313675184e-05,
+      "loss": 0.7939,
+      "step": 7829
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6254834445818775e-05,
+      "loss": 0.8067,
+      "step": 7830
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6253845654440904e-05,
+      "loss": 0.9206,
+      "step": 7831
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.625285676263411e-05,
+      "loss": 0.8778,
+      "step": 7832
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.625186777041427e-05,
+      "loss": 0.9276,
+      "step": 7833
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.625087867779727e-05,
+      "loss": 0.8819,
+      "step": 7834
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6249889484798987e-05,
+      "loss": 0.8134,
+      "step": 7835
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6248900191435314e-05,
+      "loss": 0.84,
+      "step": 7836
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.624791079772213e-05,
+      "loss": 0.8592,
+      "step": 7837
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6246921303675334e-05,
+      "loss": 0.7952,
+      "step": 7838
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6245931709310806e-05,
+      "loss": 0.8611,
+      "step": 7839
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6244942014644443e-05,
+      "loss": 0.8791,
+      "step": 7840
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6243952219692135e-05,
+      "loss": 0.7145,
+      "step": 7841
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6242962324469777e-05,
+      "loss": 0.7641,
+      "step": 7842
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.624197232899327e-05,
+      "loss": 0.8543,
+      "step": 7843
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6240982233278505e-05,
+      "loss": 0.6674,
+      "step": 7844
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.623999203734139e-05,
+      "loss": 1.0081,
+      "step": 7845
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.623900174119782e-05,
+      "loss": 0.8929,
+      "step": 7846
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.62380113448637e-05,
+      "loss": 0.7359,
+      "step": 7847
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6237020848354937e-05,
+      "loss": 0.8025,
+      "step": 7848
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6236030251687435e-05,
+      "loss": 0.8593,
+      "step": 7849
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6235039554877097e-05,
+      "loss": 0.9199,
+      "step": 7850
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.623404875793984e-05,
+      "loss": 1.0066,
+      "step": 7851
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6233057860891566e-05,
+      "loss": 0.7246,
+      "step": 7852
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.62320668637482e-05,
+      "loss": 0.9576,
+      "step": 7853
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6231075766525647e-05,
+      "loss": 0.899,
+      "step": 7854
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6230084569239824e-05,
+      "loss": 0.9515,
+      "step": 7855
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6229093271906654e-05,
+      "loss": 0.9263,
+      "step": 7856
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6228101874542047e-05,
+      "loss": 0.9751,
+      "step": 7857
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6227110377161928e-05,
+      "loss": 0.8384,
+      "step": 7858
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6226118779782224e-05,
+      "loss": 0.8216,
+      "step": 7859
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.622512708241885e-05,
+      "loss": 0.943,
+      "step": 7860
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6224135285087734e-05,
+      "loss": 0.9994,
+      "step": 7861
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6223143387804804e-05,
+      "loss": 0.9584,
+      "step": 7862
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6222151390585996e-05,
+      "loss": 0.8015,
+      "step": 7863
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6221159293447227e-05,
+      "loss": 0.9199,
+      "step": 7864
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.622016709640444e-05,
+      "loss": 0.7903,
+      "step": 7865
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.621917479947356e-05,
+      "loss": 0.8445,
+      "step": 7866
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.621818240267053e-05,
+      "loss": 0.8146,
+      "step": 7867
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.621718990601128e-05,
+      "loss": 0.8098,
+      "step": 7868
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.621619730951175e-05,
+      "loss": 0.8945,
+      "step": 7869
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.621520461318788e-05,
+      "loss": 0.9196,
+      "step": 7870
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6214211817055612e-05,
+      "loss": 0.8814,
+      "step": 7871
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.621321892113089e-05,
+      "loss": 0.8246,
+      "step": 7872
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.621222592542966e-05,
+      "loss": 0.8413,
+      "step": 7873
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6211232829967865e-05,
+      "loss": 0.9357,
+      "step": 7874
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6210239634761452e-05,
+      "loss": 0.7933,
+      "step": 7875
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6209246339826372e-05,
+      "loss": 0.8516,
+      "step": 7876
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6208252945178578e-05,
+      "loss": 0.864,
+      "step": 7877
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6207259450834022e-05,
+      "loss": 0.9252,
+      "step": 7878
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6206265856808655e-05,
+      "loss": 0.8416,
+      "step": 7879
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6205272163118436e-05,
+      "loss": 0.9778,
+      "step": 7880
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6204278369779324e-05,
+      "loss": 0.9767,
+      "step": 7881
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.620328447680727e-05,
+      "loss": 0.9455,
+      "step": 7882
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6202290484218244e-05,
+      "loss": 0.8613,
+      "step": 7883
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6201296392028206e-05,
+      "loss": 0.8889,
+      "step": 7884
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6200302200253117e-05,
+      "loss": 0.9471,
+      "step": 7885
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6199307908908943e-05,
+      "loss": 0.9934,
+      "step": 7886
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6198313518011655e-05,
+      "loss": 0.8562,
+      "step": 7887
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6197319027577218e-05,
+      "loss": 0.7835,
+      "step": 7888
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6196324437621603e-05,
+      "loss": 0.9049,
+      "step": 7889
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6195329748160783e-05,
+      "loss": 0.9234,
+      "step": 7890
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6194334959210726e-05,
+      "loss": 0.765,
+      "step": 7891
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6193340070787417e-05,
+      "loss": 0.8063,
+      "step": 7892
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6192345082906823e-05,
+      "loss": 0.8776,
+      "step": 7893
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6191349995584928e-05,
+      "loss": 0.8033,
+      "step": 7894
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.619035480883771e-05,
+      "loss": 0.7715,
+      "step": 7895
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.618935952268115e-05,
+      "loss": 0.7832,
+      "step": 7896
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6188364137131233e-05,
+      "loss": 0.7547,
+      "step": 7897
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6187368652203944e-05,
+      "loss": 0.8066,
+      "step": 7898
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6186373067915265e-05,
+      "loss": 0.9913,
+      "step": 7899
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6185377384281185e-05,
+      "loss": 0.7786,
+      "step": 7900
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.61843816013177e-05,
+      "loss": 0.849,
+      "step": 7901
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.618338571904079e-05,
+      "loss": 0.7205,
+      "step": 7902
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.618238973746646e-05,
+      "loss": 0.7931,
+      "step": 7903
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6181393656610693e-05,
+      "loss": 0.8394,
+      "step": 7904
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.618039747648949e-05,
+      "loss": 0.8615,
+      "step": 7905
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.617940119711885e-05,
+      "loss": 0.884,
+      "step": 7906
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.617840481851477e-05,
+      "loss": 0.8055,
+      "step": 7907
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.617740834069325e-05,
+      "loss": 0.7801,
+      "step": 7908
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6176411763670292e-05,
+      "loss": 0.9408,
+      "step": 7909
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6175415087461904e-05,
+      "loss": 0.8593,
+      "step": 7910
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.617441831208408e-05,
+      "loss": 0.8937,
+      "step": 7911
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.617342143755284e-05,
+      "loss": 0.8734,
+      "step": 7912
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6172424463884187e-05,
+      "loss": 0.8404,
+      "step": 7913
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6171427391094136e-05,
+      "loss": 0.8682,
+      "step": 7914
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.617043021919869e-05,
+      "loss": 0.8532,
+      "step": 7915
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6169432948213864e-05,
+      "loss": 0.8238,
+      "step": 7916
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.616843557815568e-05,
+      "loss": 0.6383,
+      "step": 7917
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6167438109040148e-05,
+      "loss": 0.8275,
+      "step": 7918
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.616644054088329e-05,
+      "loss": 0.8305,
+      "step": 7919
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.616544287370112e-05,
+      "loss": 0.9066,
+      "step": 7920
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.616444510750967e-05,
+      "loss": 0.7654,
+      "step": 7921
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.616344724232495e-05,
+      "loss": 0.8853,
+      "step": 7922
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.616244927816299e-05,
+      "loss": 0.7598,
+      "step": 7923
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.616145121503982e-05,
+      "loss": 0.9203,
+      "step": 7924
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6160453052971466e-05,
+      "loss": 0.6967,
+      "step": 7925
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6159454791973953e-05,
+      "loss": 0.8125,
+      "step": 7926
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.615845643206331e-05,
+      "loss": 0.9875,
+      "step": 7927
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.615745797325558e-05,
+      "loss": 0.8475,
+      "step": 7928
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6156459415566786e-05,
+      "loss": 0.7417,
+      "step": 7929
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.615546075901297e-05,
+      "loss": 0.8313,
+      "step": 7930
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6154462003610168e-05,
+      "loss": 0.7359,
+      "step": 7931
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.615346314937442e-05,
+      "loss": 0.9339,
+      "step": 7932
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6152464196321762e-05,
+      "loss": 0.8175,
+      "step": 7933
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6151465144468242e-05,
+      "loss": 0.8386,
+      "step": 7934
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6150465993829894e-05,
+      "loss": 0.7742,
+      "step": 7935
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6149466744422772e-05,
+      "loss": 0.8527,
+      "step": 7936
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.614846739626292e-05,
+      "loss": 0.9344,
+      "step": 7937
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6147467949366386e-05,
+      "loss": 0.7483,
+      "step": 7938
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6146468403749223e-05,
+      "loss": 0.9297,
+      "step": 7939
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6145468759427476e-05,
+      "loss": 0.7944,
+      "step": 7940
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6144469016417202e-05,
+      "loss": 0.7903,
+      "step": 7941
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6143469174734455e-05,
+      "loss": 0.8075,
+      "step": 7942
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.614246923439529e-05,
+      "loss": 0.8981,
+      "step": 7943
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6141469195415766e-05,
+      "loss": 0.9141,
+      "step": 7944
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6140469057811944e-05,
+      "loss": 0.8902,
+      "step": 7945
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6139468821599888e-05,
+      "loss": 0.9978,
+      "step": 7946
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6138468486795646e-05,
+      "loss": 0.7214,
+      "step": 7947
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.61374680534153e-05,
+      "loss": 0.9401,
+      "step": 7948
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6136467521474902e-05,
+      "loss": 0.87,
+      "step": 7949
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.613546689099053e-05,
+      "loss": 0.9456,
+      "step": 7950
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6134466161978242e-05,
+      "loss": 0.9076,
+      "step": 7951
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.613346533445412e-05,
+      "loss": 0.841,
+      "step": 7952
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.613246440843423e-05,
+      "loss": 0.8036,
+      "step": 7953
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6131463383934643e-05,
+      "loss": 0.7348,
+      "step": 7954
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.613046226097144e-05,
+      "loss": 0.9989,
+      "step": 7955
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6129461039560693e-05,
+      "loss": 0.8224,
+      "step": 7956
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6128459719718482e-05,
+      "loss": 0.9059,
+      "step": 7957
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.612745830146089e-05,
+      "loss": 0.7928,
+      "step": 7958
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6126456784803993e-05,
+      "loss": 0.91,
+      "step": 7959
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.612545516976388e-05,
+      "loss": 0.9609,
+      "step": 7960
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6124453456356628e-05,
+      "loss": 0.7368,
+      "step": 7961
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.612345164459833e-05,
+      "loss": 0.61,
+      "step": 7962
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.612244973450507e-05,
+      "loss": 0.7428,
+      "step": 7963
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6121447726092942e-05,
+      "loss": 0.9032,
+      "step": 7964
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6120445619378035e-05,
+      "loss": 0.9095,
+      "step": 7965
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.611944341437644e-05,
+      "loss": 0.8002,
+      "step": 7966
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.611844111110425e-05,
+      "loss": 1.0331,
+      "step": 7967
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6117438709577565e-05,
+      "loss": 0.8787,
+      "step": 7968
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6116436209812476e-05,
+      "loss": 0.6849,
+      "step": 7969
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.611543361182509e-05,
+      "loss": 0.7365,
+      "step": 7970
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.61144309156315e-05,
+      "loss": 0.8801,
+      "step": 7971
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6113428121247813e-05,
+      "loss": 0.6898,
+      "step": 7972
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.611242522869013e-05,
+      "loss": 0.7066,
+      "step": 7973
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.611142223797456e-05,
+      "loss": 0.9406,
+      "step": 7974
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6110419149117205e-05,
+      "loss": 0.8152,
+      "step": 7975
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6109415962134174e-05,
+      "loss": 0.8646,
+      "step": 7976
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.610841267704158e-05,
+      "loss": 0.7683,
+      "step": 7977
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.610740929385553e-05,
+      "loss": 0.9339,
+      "step": 7978
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6106405812592143e-05,
+      "loss": 0.8058,
+      "step": 7979
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6105402233267526e-05,
+      "loss": 0.8085,
+      "step": 7980
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6104398555897805e-05,
+      "loss": 0.8632,
+      "step": 7981
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6103394780499088e-05,
+      "loss": 0.7884,
+      "step": 7982
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.61023909070875e-05,
+      "loss": 0.9202,
+      "step": 7983
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6101386935679163e-05,
+      "loss": 0.8587,
+      "step": 7984
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6100382866290197e-05,
+      "loss": 0.7554,
+      "step": 7985
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6099378698936724e-05,
+      "loss": 0.7479,
+      "step": 7986
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6098374433634876e-05,
+      "loss": 0.9787,
+      "step": 7987
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.609737007040077e-05,
+      "loss": 0.901,
+      "step": 7988
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6096365609250546e-05,
+      "loss": 0.9928,
+      "step": 7989
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.609536105020033e-05,
+      "loss": 0.8548,
+      "step": 7990
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.609435639326625e-05,
+      "loss": 0.9293,
+      "step": 7991
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6093351638464447e-05,
+      "loss": 0.8908,
+      "step": 7992
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.609234678581105e-05,
+      "loss": 0.8257,
+      "step": 7993
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6091341835322193e-05,
+      "loss": 0.8829,
+      "step": 7994
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6090336787014028e-05,
+      "loss": 0.8741,
+      "step": 7995
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.608933164090268e-05,
+      "loss": 0.9297,
+      "step": 7996
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6088326397004296e-05,
+      "loss": 0.7669,
+      "step": 7997
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.608732105533502e-05,
+      "loss": 0.8707,
+      "step": 7998
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6086315615911e-05,
+      "loss": 0.8688,
+      "step": 7999
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.608531007874837e-05,
+      "loss": 0.7131,
+      "step": 8000
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.608430444386329e-05,
+      "loss": 0.8255,
+      "step": 8001
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6083298711271903e-05,
+      "loss": 0.8054,
+      "step": 8002
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6082292880990364e-05,
+      "loss": 0.8965,
+      "step": 8003
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6081286953034824e-05,
+      "loss": 0.9779,
+      "step": 8004
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6080280927421434e-05,
+      "loss": 0.8039,
+      "step": 8005
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.607927480416635e-05,
+      "loss": 0.986,
+      "step": 8006
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.607826858328573e-05,
+      "loss": 0.9357,
+      "step": 8007
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6077262264795735e-05,
+      "loss": 0.8792,
+      "step": 8008
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.607625584871252e-05,
+      "loss": 0.8548,
+      "step": 8009
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6075249335052253e-05,
+      "loss": 0.8329,
+      "step": 8010
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6074242723831095e-05,
+      "loss": 0.7435,
+      "step": 8011
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.607323601506521e-05,
+      "loss": 0.733,
+      "step": 8012
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6072229208770766e-05,
+      "loss": 1.1002,
+      "step": 8013
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6071222304963926e-05,
+      "loss": 0.8691,
+      "step": 8014
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6070215303660866e-05,
+      "loss": 0.8358,
+      "step": 8015
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6069208204877755e-05,
+      "loss": 0.7538,
+      "step": 8016
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.606820100863076e-05,
+      "loss": 0.7275,
+      "step": 8017
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6067193714936067e-05,
+      "loss": 0.8657,
+      "step": 8018
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6066186323809844e-05,
+      "loss": 0.8484,
+      "step": 8019
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.606517883526827e-05,
+      "loss": 0.8108,
+      "step": 8020
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.606417124932752e-05,
+      "loss": 1.0193,
+      "step": 8021
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6063163566003788e-05,
+      "loss": 0.8789,
+      "step": 8022
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6062155785313238e-05,
+      "loss": 0.9148,
+      "step": 8023
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6061147907272067e-05,
+      "loss": 0.7822,
+      "step": 8024
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6060139931896452e-05,
+      "loss": 0.8141,
+      "step": 8025
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6059131859202586e-05,
+      "loss": 0.9548,
+      "step": 8026
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6058123689206654e-05,
+      "loss": 0.7315,
+      "step": 8027
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6057115421924848e-05,
+      "loss": 0.986,
+      "step": 8028
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6056107057373356e-05,
+      "loss": 0.8559,
+      "step": 8029
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6055098595568373e-05,
+      "loss": 0.791,
+      "step": 8030
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.60540900365261e-05,
+      "loss": 0.8495,
+      "step": 8031
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.605308138026272e-05,
+      "loss": 0.8408,
+      "step": 8032
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6052072626794442e-05,
+      "loss": 0.738,
+      "step": 8033
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.605106377613746e-05,
+      "loss": 0.8864,
+      "step": 8034
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6050054828307978e-05,
+      "loss": 0.8654,
+      "step": 8035
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6049045783322193e-05,
+      "loss": 0.9101,
+      "step": 8036
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6048036641196312e-05,
+      "loss": 0.849,
+      "step": 8037
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6047027401946547e-05,
+      "loss": 0.8412,
+      "step": 8038
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6046018065589096e-05,
+      "loss": 0.935,
+      "step": 8039
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6045008632140172e-05,
+      "loss": 0.8845,
+      "step": 8040
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6043999101615983e-05,
+      "loss": 0.779,
+      "step": 8041
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.604298947403274e-05,
+      "loss": 0.7629,
+      "step": 8042
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6041979749406663e-05,
+      "loss": 0.8358,
+      "step": 8043
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6040969927753957e-05,
+      "loss": 0.8144,
+      "step": 8044
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.603996000909085e-05,
+      "loss": 0.9025,
+      "step": 8045
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6038949993433546e-05,
+      "loss": 0.8399,
+      "step": 8046
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6037939880798277e-05,
+      "loss": 0.8516,
+      "step": 8047
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.603692967120126e-05,
+      "loss": 0.8718,
+      "step": 8048
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6035919364658714e-05,
+      "loss": 0.9903,
+      "step": 8049
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.603490896118687e-05,
+      "loss": 0.829,
+      "step": 8050
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.603389846080195e-05,
+      "loss": 0.8072,
+      "step": 8051
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.603288786352018e-05,
+      "loss": 0.8495,
+      "step": 8052
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.603187716935779e-05,
+      "loss": 0.8816,
+      "step": 8053
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6030866378331013e-05,
+      "loss": 0.7541,
+      "step": 8054
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.602985549045608e-05,
+      "loss": 0.9191,
+      "step": 8055
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.602884450574922e-05,
+      "loss": 0.8274,
+      "step": 8056
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6027833424226673e-05,
+      "loss": 0.6353,
+      "step": 8057
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6026822245904673e-05,
+      "loss": 0.8074,
+      "step": 8058
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6025810970799462e-05,
+      "loss": 0.7621,
+      "step": 8059
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.602479959892728e-05,
+      "loss": 0.8075,
+      "step": 8060
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.602378813030436e-05,
+      "loss": 1.0306,
+      "step": 8061
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6022776564946957e-05,
+      "loss": 0.8174,
+      "step": 8062
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6021764902871305e-05,
+      "loss": 0.8172,
+      "step": 8063
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6020753144093656e-05,
+      "loss": 0.8334,
+      "step": 8064
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6019741288630255e-05,
+      "loss": 0.7211,
+      "step": 8065
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6018729336497356e-05,
+      "loss": 0.9339,
+      "step": 8066
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6017717287711197e-05,
+      "loss": 0.8968,
+      "step": 8067
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.601670514228805e-05,
+      "loss": 0.8261,
+      "step": 8068
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6015692900244148e-05,
+      "loss": 0.6857,
+      "step": 8069
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6014680561595763e-05,
+      "loss": 0.9214,
+      "step": 8070
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6013668126359143e-05,
+      "loss": 0.7431,
+      "step": 8071
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6012655594550546e-05,
+      "loss": 0.9225,
+      "step": 8072
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6011642966186237e-05,
+      "loss": 0.7624,
+      "step": 8073
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6010630241282476e-05,
+      "loss": 0.9811,
+      "step": 8074
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6009617419855523e-05,
+      "loss": 0.7768,
+      "step": 8075
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6008604501921647e-05,
+      "loss": 0.8795,
+      "step": 8076
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.600759148749711e-05,
+      "loss": 0.948,
+      "step": 8077
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.600657837659818e-05,
+      "loss": 0.7985,
+      "step": 8078
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6005565169241132e-05,
+      "loss": 0.8938,
+      "step": 8079
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6004551865442228e-05,
+      "loss": 0.9135,
+      "step": 8080
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6003538465217746e-05,
+      "loss": 0.8394,
+      "step": 8081
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.600252496858396e-05,
+      "loss": 0.8561,
+      "step": 8082
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6001511375557146e-05,
+      "loss": 0.906,
+      "step": 8083
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.600049768615358e-05,
+      "loss": 0.8219,
+      "step": 8084
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5999483900389536e-05,
+      "loss": 0.7826,
+      "step": 8085
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5998470018281303e-05,
+      "loss": 0.863,
+      "step": 8086
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5997456039845155e-05,
+      "loss": 0.8123,
+      "step": 8087
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.599644196509738e-05,
+      "loss": 0.8702,
+      "step": 8088
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5995427794054262e-05,
+      "loss": 0.925,
+      "step": 8089
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5994413526732083e-05,
+      "loss": 0.8608,
+      "step": 8090
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5993399163147137e-05,
+      "loss": 0.778,
+      "step": 8091
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5992384703315707e-05,
+      "loss": 0.8646,
+      "step": 8092
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.599137014725409e-05,
+      "loss": 0.878,
+      "step": 8093
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.599035549497858e-05,
+      "loss": 0.7411,
+      "step": 8094
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5989340746505463e-05,
+      "loss": 0.7533,
+      "step": 8095
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5988325901851038e-05,
+      "loss": 0.9459,
+      "step": 8096
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5987310961031604e-05,
+      "loss": 0.874,
+      "step": 8097
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.598629592406346e-05,
+      "loss": 0.8296,
+      "step": 8098
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5985280790962903e-05,
+      "loss": 0.8144,
+      "step": 8099
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5984265561746236e-05,
+      "loss": 0.7956,
+      "step": 8100
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5983250236429765e-05,
+      "loss": 0.9042,
+      "step": 8101
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.598223481502979e-05,
+      "loss": 0.8987,
+      "step": 8102
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.598121929756262e-05,
+      "loss": 0.8314,
+      "step": 8103
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5980203684044565e-05,
+      "loss": 0.9088,
+      "step": 8104
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.597918797449193e-05,
+      "loss": 0.8389,
+      "step": 8105
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5978172168921032e-05,
+      "loss": 0.8777,
+      "step": 8106
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5977156267348175e-05,
+      "loss": 0.9845,
+      "step": 8107
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.597614026978968e-05,
+      "loss": 0.8734,
+      "step": 8108
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5975124176261866e-05,
+      "loss": 0.8925,
+      "step": 8109
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5974107986781036e-05,
+      "loss": 0.7742,
+      "step": 8110
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5973091701363524e-05,
+      "loss": 0.8677,
+      "step": 8111
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5972075320025643e-05,
+      "loss": 0.8525,
+      "step": 8112
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5971058842783717e-05,
+      "loss": 0.7917,
+      "step": 8113
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5970042269654063e-05,
+      "loss": 0.8532,
+      "step": 8114
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5969025600653015e-05,
+      "loss": 0.8764,
+      "step": 8115
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5968008835796895e-05,
+      "loss": 0.8829,
+      "step": 8116
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5966991975102032e-05,
+      "loss": 0.8438,
+      "step": 8117
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5965975018584754e-05,
+      "loss": 0.8347,
+      "step": 8118
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5964957966261392e-05,
+      "loss": 0.8102,
+      "step": 8119
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5963940818148284e-05,
+      "loss": 0.8703,
+      "step": 8120
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5962923574261754e-05,
+      "loss": 0.9029,
+      "step": 8121
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.596190623461815e-05,
+      "loss": 0.767,
+      "step": 8122
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5960888799233796e-05,
+      "loss": 0.9001,
+      "step": 8123
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.595987126812504e-05,
+      "loss": 0.8468,
+      "step": 8124
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.595885364130822e-05,
+      "loss": 0.8742,
+      "step": 8125
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5957835918799674e-05,
+      "loss": 0.8004,
+      "step": 8126
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5956818100615753e-05,
+      "loss": 0.74,
+      "step": 8127
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5955800186772795e-05,
+      "loss": 0.7816,
+      "step": 8128
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5954782177287153e-05,
+      "loss": 0.86,
+      "step": 8129
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5953764072175167e-05,
+      "loss": 0.8564,
+      "step": 8130
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.595274587145319e-05,
+      "loss": 0.7738,
+      "step": 8131
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5951727575137576e-05,
+      "loss": 0.8091,
+      "step": 8132
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5950709183244676e-05,
+      "loss": 0.847,
+      "step": 8133
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5949690695790837e-05,
+      "loss": 0.934,
+      "step": 8134
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5948672112792427e-05,
+      "loss": 0.8489,
+      "step": 8135
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5947653434265794e-05,
+      "loss": 0.8884,
+      "step": 8136
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5946634660227302e-05,
+      "loss": 0.8768,
+      "step": 8137
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.594561579069331e-05,
+      "loss": 0.7504,
+      "step": 8138
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5944596825680174e-05,
+      "loss": 0.8974,
+      "step": 8139
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5943577765204264e-05,
+      "loss": 0.9101,
+      "step": 8140
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5942558609281943e-05,
+      "loss": 0.8231,
+      "step": 8141
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5941539357929577e-05,
+      "loss": 0.8313,
+      "step": 8142
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5940520011163534e-05,
+      "loss": 0.9344,
+      "step": 8143
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5939500569000185e-05,
+      "loss": 0.941,
+      "step": 8144
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5938481031455898e-05,
+      "loss": 0.8122,
+      "step": 8145
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5937461398547048e-05,
+      "loss": 0.9197,
+      "step": 8146
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5936441670290006e-05,
+      "loss": 0.7902,
+      "step": 8147
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.593542184670115e-05,
+      "loss": 0.7788,
+      "step": 8148
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5934401927796858e-05,
+      "loss": 0.9611,
+      "step": 8149
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5933381913593508e-05,
+      "loss": 0.7851,
+      "step": 8150
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.593236180410748e-05,
+      "loss": 0.8724,
+      "step": 8151
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5931341599355153e-05,
+      "loss": 0.836,
+      "step": 8152
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5930321299352912e-05,
+      "loss": 0.9593,
+      "step": 8153
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.592930090411714e-05,
+      "loss": 0.7865,
+      "step": 8154
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.592828041366423e-05,
+      "loss": 0.739,
+      "step": 8155
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5927259828010563e-05,
+      "loss": 0.8966,
+      "step": 8156
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5926239147172527e-05,
+      "loss": 0.8311,
+      "step": 8157
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.592521837116652e-05,
+      "loss": 0.9324,
+      "step": 8158
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5924197500008933e-05,
+      "loss": 0.8643,
+      "step": 8159
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5923176533716156e-05,
+      "loss": 0.9781,
+      "step": 8160
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5922155472304584e-05,
+      "loss": 0.822,
+      "step": 8161
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.592113431579062e-05,
+      "loss": 0.8102,
+      "step": 8162
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5920113064190653e-05,
+      "loss": 0.8481,
+      "step": 8163
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.591909171752109e-05,
+      "loss": 0.9309,
+      "step": 8164
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5918070275798333e-05,
+      "loss": 0.9659,
+      "step": 8165
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5917048739038782e-05,
+      "loss": 0.7879,
+      "step": 8166
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5916027107258846e-05,
+      "loss": 0.6885,
+      "step": 8167
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.591500538047492e-05,
+      "loss": 0.8169,
+      "step": 8168
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5913983558703427e-05,
+      "loss": 0.8196,
+      "step": 8169
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5912961641960763e-05,
+      "loss": 0.8258,
+      "step": 8170
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5911939630263348e-05,
+      "loss": 0.7646,
+      "step": 8171
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5910917523627593e-05,
+      "loss": 0.9391,
+      "step": 8172
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5909895322069907e-05,
+      "loss": 0.8483,
+      "step": 8173
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5908873025606703e-05,
+      "loss": 0.7335,
+      "step": 8174
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.590785063425441e-05,
+      "loss": 0.7386,
+      "step": 8175
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.590682814802943e-05,
+      "loss": 0.6419,
+      "step": 8176
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.59058055669482e-05,
+      "loss": 0.8153,
+      "step": 8177
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5904782891027132e-05,
+      "loss": 0.8193,
+      "step": 8178
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5903760120282645e-05,
+      "loss": 0.7846,
+      "step": 8179
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.590273725473117e-05,
+      "loss": 0.8939,
+      "step": 8180
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5901714294389132e-05,
+      "loss": 0.862,
+      "step": 8181
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5900691239272957e-05,
+      "loss": 0.8303,
+      "step": 8182
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5899668089399078e-05,
+      "loss": 0.7888,
+      "step": 8183
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.589864484478392e-05,
+      "loss": 0.8768,
+      "step": 8184
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5897621505443915e-05,
+      "loss": 0.8867,
+      "step": 8185
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.58965980713955e-05,
+      "loss": 0.886,
+      "step": 8186
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5895574542655113e-05,
+      "loss": 0.8638,
+      "step": 8187
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.589455091923918e-05,
+      "loss": 0.7519,
+      "step": 8188
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5893527201164152e-05,
+      "loss": 0.7675,
+      "step": 8189
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5892503388446456e-05,
+      "loss": 0.8658,
+      "step": 8190
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5891479481102545e-05,
+      "loss": 0.9266,
+      "step": 8191
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5890455479148852e-05,
+      "loss": 0.9225,
+      "step": 8192
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5889431382601827e-05,
+      "loss": 0.8623,
+      "step": 8193
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.588840719147791e-05,
+      "loss": 0.7671,
+      "step": 8194
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5887382905793555e-05,
+      "loss": 0.8325,
+      "step": 8195
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.588635852556521e-05,
+      "loss": 0.7356,
+      "step": 8196
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.588533405080932e-05,
+      "loss": 0.9848,
+      "step": 8197
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.588430948154234e-05,
+      "loss": 0.7875,
+      "step": 8198
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5883284817780726e-05,
+      "loss": 0.7525,
+      "step": 8199
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5882260059540927e-05,
+      "loss": 0.8496,
+      "step": 8200
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.58812352068394e-05,
+      "loss": 0.8929,
+      "step": 8201
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.588021025969261e-05,
+      "loss": 0.8094,
+      "step": 8202
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5879185218117012e-05,
+      "loss": 0.91,
+      "step": 8203
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5878160082129064e-05,
+      "loss": 0.7936,
+      "step": 8204
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.587713485174523e-05,
+      "loss": 0.9154,
+      "step": 8205
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5876109526981975e-05,
+      "loss": 0.9112,
+      "step": 8206
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5875084107855767e-05,
+      "loss": 0.8009,
+      "step": 8207
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.587405859438307e-05,
+      "loss": 0.8545,
+      "step": 8208
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.587303298658035e-05,
+      "loss": 0.829,
+      "step": 8209
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5872007284464078e-05,
+      "loss": 0.9387,
+      "step": 8210
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.587098148805073e-05,
+      "loss": 0.9368,
+      "step": 8211
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5869955597356778e-05,
+      "loss": 0.8651,
+      "step": 8212
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.586892961239869e-05,
+      "loss": 0.8246,
+      "step": 8213
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.586790353319295e-05,
+      "loss": 0.8404,
+      "step": 8214
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.586687735975603e-05,
+      "loss": 0.7333,
+      "step": 8215
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5865851092104414e-05,
+      "loss": 0.7109,
+      "step": 8216
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5864824730254578e-05,
+      "loss": 0.8027,
+      "step": 8217
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5863798274223007e-05,
+      "loss": 0.8078,
+      "step": 8218
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.586277172402618e-05,
+      "loss": 0.8214,
+      "step": 8219
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.586174507968059e-05,
+      "loss": 0.7177,
+      "step": 8220
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5860718341202714e-05,
+      "loss": 0.8364,
+      "step": 8221
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.585969150860905e-05,
+      "loss": 0.7586,
+      "step": 8222
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5858664581916083e-05,
+      "loss": 0.7938,
+      "step": 8223
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.58576375611403e-05,
+      "loss": 0.8477,
+      "step": 8224
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5856610446298198e-05,
+      "loss": 0.9066,
+      "step": 8225
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5855583237406277e-05,
+      "loss": 0.7274,
+      "step": 8226
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.585455593448102e-05,
+      "loss": 0.9089,
+      "step": 8227
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5853528537538933e-05,
+      "loss": 0.8976,
+      "step": 8228
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5852501046596516e-05,
+      "loss": 0.955,
+      "step": 8229
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5851473461670265e-05,
+      "loss": 0.8976,
+      "step": 8230
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.585044578277668e-05,
+      "loss": 0.8587,
+      "step": 8231
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5849418009932265e-05,
+      "loss": 0.7755,
+      "step": 8232
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.584839014315353e-05,
+      "loss": 0.9231,
+      "step": 8233
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5847362182456975e-05,
+      "loss": 0.8072,
+      "step": 8234
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5846334127859113e-05,
+      "loss": 0.8557,
+      "step": 8235
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.584530597937645e-05,
+      "loss": 0.8084,
+      "step": 8236
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5844277737025496e-05,
+      "loss": 0.8408,
+      "step": 8237
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5843249400822765e-05,
+      "loss": 0.9611,
+      "step": 8238
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5842220970784773e-05,
+      "loss": 0.866,
+      "step": 8239
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5841192446928032e-05,
+      "loss": 0.7715,
+      "step": 8240
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.584016382926906e-05,
+      "loss": 0.8451,
+      "step": 8241
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5839135117824375e-05,
+      "loss": 0.9836,
+      "step": 8242
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5838106312610496e-05,
+      "loss": 0.8471,
+      "step": 8243
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5837077413643947e-05,
+      "loss": 0.7768,
+      "step": 8244
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5836048420941246e-05,
+      "loss": 0.8379,
+      "step": 8245
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.583501933451892e-05,
+      "loss": 0.7993,
+      "step": 8246
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.58339901543935e-05,
+      "loss": 0.8992,
+      "step": 8247
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5832960880581506e-05,
+      "loss": 0.9226,
+      "step": 8248
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.583193151309947e-05,
+      "loss": 0.9569,
+      "step": 8249
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.583090205196392e-05,
+      "loss": 0.7941,
+      "step": 8250
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5829872497191388e-05,
+      "loss": 0.8949,
+      "step": 8251
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5828842848798413e-05,
+      "loss": 0.8279,
+      "step": 8252
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5827813106801524e-05,
+      "loss": 0.8207,
+      "step": 8253
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.582678327121726e-05,
+      "loss": 0.9074,
+      "step": 8254
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5825753342062155e-05,
+      "loss": 0.7552,
+      "step": 8255
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5824723319352754e-05,
+      "loss": 0.8173,
+      "step": 8256
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5823693203105595e-05,
+      "loss": 0.9711,
+      "step": 8257
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.582266299333722e-05,
+      "loss": 0.8499,
+      "step": 8258
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5821632690064175e-05,
+      "loss": 0.8592,
+      "step": 8259
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5820602293303004e-05,
+      "loss": 0.7729,
+      "step": 8260
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.581957180307025e-05,
+      "loss": 0.8724,
+      "step": 8261
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5818541219382472e-05,
+      "loss": 0.7342,
+      "step": 8262
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5817510542256208e-05,
+      "loss": 0.754,
+      "step": 8263
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5816479771708014e-05,
+      "loss": 0.9227,
+      "step": 8264
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5815448907754448e-05,
+      "loss": 0.8909,
+      "step": 8265
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5814417950412053e-05,
+      "loss": 0.8666,
+      "step": 8266
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5813386899697395e-05,
+      "loss": 0.8597,
+      "step": 8267
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5812355755627028e-05,
+      "loss": 0.9034,
+      "step": 8268
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5811324518217513e-05,
+      "loss": 0.9272,
+      "step": 8269
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5810293187485407e-05,
+      "loss": 0.7822,
+      "step": 8270
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.580926176344727e-05,
+      "loss": 0.7695,
+      "step": 8271
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.580823024611967e-05,
+      "loss": 0.7461,
+      "step": 8272
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5807198635519172e-05,
+      "loss": 0.8761,
+      "step": 8273
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5806166931662338e-05,
+      "loss": 0.8595,
+      "step": 8274
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.580513513456574e-05,
+      "loss": 0.9686,
+      "step": 8275
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.580410324424595e-05,
+      "loss": 0.8957,
+      "step": 8276
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5803071260719528e-05,
+      "loss": 0.9075,
+      "step": 8277
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.580203918400306e-05,
+      "loss": 0.8429,
+      "step": 8278
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5801007014113106e-05,
+      "loss": 0.9331,
+      "step": 8279
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5799974751066252e-05,
+      "loss": 0.813,
+      "step": 8280
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5798942394879073e-05,
+      "loss": 0.9693,
+      "step": 8281
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5797909945568146e-05,
+      "loss": 0.8166,
+      "step": 8282
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.579687740315005e-05,
+      "loss": 0.9284,
+      "step": 8283
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.579584476764136e-05,
+      "loss": 0.8154,
+      "step": 8284
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5794812039058674e-05,
+      "loss": 0.8352,
+      "step": 8285
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5793779217418562e-05,
+      "loss": 0.9161,
+      "step": 8286
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.579274630273762e-05,
+      "loss": 0.8078,
+      "step": 8287
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.579171329503243e-05,
+      "loss": 0.8496,
+      "step": 8288
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.579068019431958e-05,
+      "loss": 0.8608,
+      "step": 8289
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5789647000615665e-05,
+      "loss": 0.8589,
+      "step": 8290
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5788613713937273e-05,
+      "loss": 0.865,
+      "step": 8291
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5787580334300997e-05,
+      "loss": 0.7903,
+      "step": 8292
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5786546861723434e-05,
+      "loss": 0.8815,
+      "step": 8293
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.578551329622118e-05,
+      "loss": 0.8877,
+      "step": 8294
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5784479637810832e-05,
+      "loss": 0.8172,
+      "step": 8295
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5783445886508987e-05,
+      "loss": 0.7405,
+      "step": 8296
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.578241204233225e-05,
+      "loss": 0.8472,
+      "step": 8297
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5781378105297225e-05,
+      "loss": 0.9325,
+      "step": 8298
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5780344075420507e-05,
+      "loss": 0.6642,
+      "step": 8299
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5779309952718706e-05,
+      "loss": 0.8647,
+      "step": 8300
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.577827573720843e-05,
+      "loss": 0.8875,
+      "step": 8301
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.577724142890629e-05,
+      "loss": 0.8105,
+      "step": 8302
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.577620702782889e-05,
+      "loss": 0.818,
+      "step": 8303
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.577517253399284e-05,
+      "loss": 0.9319,
+      "step": 8304
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5774137947414757e-05,
+      "loss": 0.8155,
+      "step": 8305
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5773103268111255e-05,
+      "loss": 0.7301,
+      "step": 8306
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.577206849609895e-05,
+      "loss": 0.926,
+      "step": 8307
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5771033631394455e-05,
+      "loss": 0.8442,
+      "step": 8308
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5769998674014393e-05,
+      "loss": 1.0157,
+      "step": 8309
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5768963623975386e-05,
+      "loss": 0.7969,
+      "step": 8310
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5767928481294046e-05,
+      "loss": 1.0107,
+      "step": 8311
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5766893245987005e-05,
+      "loss": 0.7643,
+      "step": 8312
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5765857918070883e-05,
+      "loss": 0.8328,
+      "step": 8313
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.576482249756231e-05,
+      "loss": 0.9203,
+      "step": 8314
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.576378698447791e-05,
+      "loss": 0.8501,
+      "step": 8315
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5762751378834314e-05,
+      "loss": 0.9258,
+      "step": 8316
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5761715680648154e-05,
+      "loss": 0.8995,
+      "step": 8317
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5760679889936056e-05,
+      "loss": 0.8227,
+      "step": 8318
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.575964400671466e-05,
+      "loss": 0.8208,
+      "step": 8319
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.57586080310006e-05,
+      "loss": 0.7465,
+      "step": 8320
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5757571962810507e-05,
+      "loss": 0.9164,
+      "step": 8321
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5756535802161028e-05,
+      "loss": 0.7089,
+      "step": 8322
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5755499549068792e-05,
+      "loss": 0.8433,
+      "step": 8323
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.575446320355045e-05,
+      "loss": 0.8959,
+      "step": 8324
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5753426765622637e-05,
+      "loss": 0.8888,
+      "step": 8325
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5752390235301996e-05,
+      "loss": 0.7945,
+      "step": 8326
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5751353612605183e-05,
+      "loss": 0.7729,
+      "step": 8327
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.575031689754883e-05,
+      "loss": 0.7942,
+      "step": 8328
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5749280090149602e-05,
+      "loss": 0.7815,
+      "step": 8329
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5748243190424134e-05,
+      "loss": 0.7636,
+      "step": 8330
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5747206198389086e-05,
+      "loss": 0.9284,
+      "step": 8331
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5746169114061108e-05,
+      "loss": 0.8807,
+      "step": 8332
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5745131937456853e-05,
+      "loss": 0.9352,
+      "step": 8333
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.574409466859298e-05,
+      "loss": 0.8154,
+      "step": 8334
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.574305730748614e-05,
+      "loss": 0.8554,
+      "step": 8335
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5742019854153003e-05,
+      "loss": 0.8435,
+      "step": 8336
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5740982308610218e-05,
+      "loss": 0.827,
+      "step": 8337
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5739944670874453e-05,
+      "loss": 0.9642,
+      "step": 8338
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5738906940962368e-05,
+      "loss": 0.7102,
+      "step": 8339
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5737869118890628e-05,
+      "loss": 0.7999,
+      "step": 8340
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.57368312046759e-05,
+      "loss": 0.9855,
+      "step": 8341
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.573579319833485e-05,
+      "loss": 0.954,
+      "step": 8342
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.573475509988415e-05,
+      "loss": 0.7125,
+      "step": 8343
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.573371690934047e-05,
+      "loss": 0.874,
+      "step": 8344
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.573267862672048e-05,
+      "loss": 0.8572,
+      "step": 8345
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5731640252040857e-05,
+      "loss": 0.8713,
+      "step": 8346
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.573060178531827e-05,
+      "loss": 0.8702,
+      "step": 8347
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5729563226569402e-05,
+      "loss": 0.9417,
+      "step": 8348
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.572852457581093e-05,
+      "loss": 0.9082,
+      "step": 8349
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5727485833059526e-05,
+      "loss": 0.8955,
+      "step": 8350
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.572644699833188e-05,
+      "loss": 0.9401,
+      "step": 8351
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.572540807164467e-05,
+      "loss": 0.8187,
+      "step": 8352
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5724369053014583e-05,
+      "loss": 0.8656,
+      "step": 8353
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5723329942458302e-05,
+      "loss": 0.8474,
+      "step": 8354
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.572229073999251e-05,
+      "loss": 0.8667,
+      "step": 8355
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.57212514456339e-05,
+      "loss": 0.8919,
+      "step": 8356
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5720212059399163e-05,
+      "loss": 0.8921,
+      "step": 8357
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5719172581304987e-05,
+      "loss": 0.8756,
+      "step": 8358
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5718133011368065e-05,
+      "loss": 0.7946,
+      "step": 8359
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5717093349605093e-05,
+      "loss": 0.8137,
+      "step": 8360
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5716053596032767e-05,
+      "loss": 0.8257,
+      "step": 8361
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.571501375066778e-05,
+      "loss": 0.9039,
+      "step": 8362
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5713973813526836e-05,
+      "loss": 0.9435,
+      "step": 8363
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5712933784626633e-05,
+      "loss": 0.928,
+      "step": 8364
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.571189366398387e-05,
+      "loss": 0.7338,
+      "step": 8365
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5710853451615254e-05,
+      "loss": 0.8915,
+      "step": 8366
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.570981314753749e-05,
+      "loss": 0.8534,
+      "step": 8367
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5708772751767275e-05,
+      "loss": 0.828,
+      "step": 8368
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5707732264321327e-05,
+      "loss": 0.8433,
+      "step": 8369
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.570669168521635e-05,
+      "loss": 0.9356,
+      "step": 8370
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5705651014469054e-05,
+      "loss": 0.746,
+      "step": 8371
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5704610252096158e-05,
+      "loss": 0.789,
+      "step": 8372
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5703569398114364e-05,
+      "loss": 0.7921,
+      "step": 8373
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5702528452540394e-05,
+      "loss": 0.8826,
+      "step": 8374
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.570148741539096e-05,
+      "loss": 0.8662,
+      "step": 8375
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5700446286682786e-05,
+      "loss": 0.8331,
+      "step": 8376
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.569940506643259e-05,
+      "loss": 0.796,
+      "step": 8377
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5698363754657087e-05,
+      "loss": 0.8071,
+      "step": 8378
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5697322351373e-05,
+      "loss": 0.7933,
+      "step": 8379
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.569628085659706e-05,
+      "loss": 0.9825,
+      "step": 8380
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5695239270345986e-05,
+      "loss": 0.8923,
+      "step": 8381
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5694197592636506e-05,
+      "loss": 0.8023,
+      "step": 8382
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5693155823485348e-05,
+      "loss": 0.8294,
+      "step": 8383
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.569211396290924e-05,
+      "loss": 0.9741,
+      "step": 8384
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5691072010924915e-05,
+      "loss": 0.694,
+      "step": 8385
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5690029967549107e-05,
+      "loss": 0.7107,
+      "step": 8386
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5688987832798545e-05,
+      "loss": 0.7961,
+      "step": 8387
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5687945606689967e-05,
+      "loss": 0.9979,
+      "step": 8388
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.568690328924011e-05,
+      "loss": 0.8814,
+      "step": 8389
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5685860880465713e-05,
+      "loss": 0.973,
+      "step": 8390
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5684818380383515e-05,
+      "loss": 0.8211,
+      "step": 8391
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5683775789010257e-05,
+      "loss": 0.9439,
+      "step": 8392
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.568273310636268e-05,
+      "loss": 0.7818,
+      "step": 8393
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5681690332457537e-05,
+      "loss": 0.8066,
+      "step": 8394
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.568064746731156e-05,
+      "loss": 0.9059,
+      "step": 8395
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5679604510941504e-05,
+      "loss": 0.9292,
+      "step": 8396
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5678561463364118e-05,
+      "loss": 0.8706,
+      "step": 8397
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.567751832459615e-05,
+      "loss": 0.8131,
+      "step": 8398
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5676475094654353e-05,
+      "loss": 0.6772,
+      "step": 8399
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.567543177355548e-05,
+      "loss": 0.8248,
+      "step": 8400
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.567438836131628e-05,
+      "loss": 0.8928,
+      "step": 8401
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5673344857953518e-05,
+      "loss": 0.8177,
+      "step": 8402
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5672301263483945e-05,
+      "loss": 0.8016,
+      "step": 8403
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5671257577924318e-05,
+      "loss": 0.7371,
+      "step": 8404
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5670213801291406e-05,
+      "loss": 0.6836,
+      "step": 8405
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5669169933601965e-05,
+      "loss": 0.8867,
+      "step": 8406
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5668125974872755e-05,
+      "loss": 0.767,
+      "step": 8407
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5667081925120548e-05,
+      "loss": 0.8092,
+      "step": 8408
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5666037784362104e-05,
+      "loss": 0.6536,
+      "step": 8409
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5664993552614192e-05,
+      "loss": 0.8544,
+      "step": 8410
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5663949229893587e-05,
+      "loss": 0.6913,
+      "step": 8411
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.566290481621705e-05,
+      "loss": 0.938,
+      "step": 8412
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.566186031160136e-05,
+      "loss": 0.8084,
+      "step": 8413
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5660815716063292e-05,
+      "loss": 0.7495,
+      "step": 8414
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.565977102961961e-05,
+      "loss": 0.7869,
+      "step": 8415
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.56587262522871e-05,
+      "loss": 1.039,
+      "step": 8416
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.565768138408254e-05,
+      "loss": 0.9338,
+      "step": 8417
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5656636425022702e-05,
+      "loss": 0.9587,
+      "step": 8418
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5655591375124375e-05,
+      "loss": 0.8354,
+      "step": 8419
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5654546234404333e-05,
+      "loss": 0.8246,
+      "step": 8420
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5653501002879368e-05,
+      "loss": 0.845,
+      "step": 8421
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.565245568056626e-05,
+      "loss": 0.8267,
+      "step": 8422
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5651410267481795e-05,
+      "loss": 0.7201,
+      "step": 8423
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5650364763642764e-05,
+      "loss": 0.7858,
+      "step": 8424
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5649319169065955e-05,
+      "loss": 0.7423,
+      "step": 8425
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.564827348376816e-05,
+      "loss": 0.8324,
+      "step": 8426
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5647227707766167e-05,
+      "loss": 0.7668,
+      "step": 8427
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.564618184107678e-05,
+      "loss": 0.9869,
+      "step": 8428
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.564513588371678e-05,
+      "loss": 0.9303,
+      "step": 8429
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.564408983570298e-05,
+      "loss": 0.8275,
+      "step": 8430
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5643043697052164e-05,
+      "loss": 0.7852,
+      "step": 8431
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5641997467781137e-05,
+      "loss": 0.8907,
+      "step": 8432
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.56409511479067e-05,
+      "loss": 1.0189,
+      "step": 8433
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5639904737445658e-05,
+      "loss": 0.8025,
+      "step": 8434
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5638858236414812e-05,
+      "loss": 0.8984,
+      "step": 8435
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.563781164483097e-05,
+      "loss": 0.8784,
+      "step": 8436
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5636764962710936e-05,
+      "loss": 0.8342,
+      "step": 8437
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5635718190071526e-05,
+      "loss": 0.9448,
+      "step": 8438
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.563467132692954e-05,
+      "loss": 0.9042,
+      "step": 8439
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.563362437330179e-05,
+      "loss": 0.8222,
+      "step": 8440
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5632577329205095e-05,
+      "loss": 0.8314,
+      "step": 8441
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5631530194656265e-05,
+      "loss": 0.91,
+      "step": 8442
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5630482969672116e-05,
+      "loss": 0.857,
+      "step": 8443
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5629435654269464e-05,
+      "loss": 0.7187,
+      "step": 8444
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5628388248465136e-05,
+      "loss": 0.7553,
+      "step": 8445
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.562734075227594e-05,
+      "loss": 0.7609,
+      "step": 8446
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5626293165718704e-05,
+      "loss": 0.7501,
+      "step": 8447
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5625245488810253e-05,
+      "loss": 0.7973,
+      "step": 8448
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5624197721567405e-05,
+      "loss": 0.9589,
+      "step": 8449
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5623149864006993e-05,
+      "loss": 0.807,
+      "step": 8450
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5622101916145835e-05,
+      "loss": 0.9338,
+      "step": 8451
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5621053878000767e-05,
+      "loss": 0.8379,
+      "step": 8452
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5620005749588617e-05,
+      "loss": 0.9937,
+      "step": 8453
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.561895753092622e-05,
+      "loss": 0.9376,
+      "step": 8454
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.56179092220304e-05,
+      "loss": 0.8046,
+      "step": 8455
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5616860822918004e-05,
+      "loss": 0.8091,
+      "step": 8456
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.561581233360586e-05,
+      "loss": 0.955,
+      "step": 8457
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5614763754110804e-05,
+      "loss": 0.8146,
+      "step": 8458
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.561371508444968e-05,
+      "loss": 0.9481,
+      "step": 8459
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5612666324639327e-05,
+      "loss": 0.9041,
+      "step": 8460
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5611617474696584e-05,
+      "loss": 0.7911,
+      "step": 8461
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5610568534638294e-05,
+      "loss": 0.8087,
+      "step": 8462
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5609519504481306e-05,
+      "loss": 0.8951,
+      "step": 8463
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5608470384242466e-05,
+      "loss": 0.8797,
+      "step": 8464
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.560742117393862e-05,
+      "loss": 0.619,
+      "step": 8465
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.560637187358661e-05,
+      "loss": 0.753,
+      "step": 8466
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.56053224832033e-05,
+      "loss": 0.8089,
+      "step": 8467
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.560427300280553e-05,
+      "loss": 0.9643,
+      "step": 8468
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.560322343241016e-05,
+      "loss": 0.7613,
+      "step": 8469
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5602173772034045e-05,
+      "loss": 0.8723,
+      "step": 8470
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5601124021694036e-05,
+      "loss": 0.9008,
+      "step": 8471
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5600074181406995e-05,
+      "loss": 0.7804,
+      "step": 8472
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5599024251189782e-05,
+      "loss": 0.7463,
+      "step": 8473
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5597974231059252e-05,
+      "loss": 0.8763,
+      "step": 8474
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5596924121032272e-05,
+      "loss": 0.8355,
+      "step": 8475
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.55958739211257e-05,
+      "loss": 0.8734,
+      "step": 8476
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5594823631356412e-05,
+      "loss": 0.8218,
+      "step": 8477
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5593773251741264e-05,
+      "loss": 0.8966,
+      "step": 8478
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5592722782297127e-05,
+      "loss": 0.9978,
+      "step": 8479
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5591672223040867e-05,
+      "loss": 0.9174,
+      "step": 8480
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5590621573989363e-05,
+      "loss": 0.8487,
+      "step": 8481
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.558957083515948e-05,
+      "loss": 0.7878,
+      "step": 8482
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5588520006568093e-05,
+      "loss": 0.9057,
+      "step": 8483
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5587469088232076e-05,
+      "loss": 0.9666,
+      "step": 8484
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.558641808016831e-05,
+      "loss": 0.7572,
+      "step": 8485
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.558536698239367e-05,
+      "loss": 0.8165,
+      "step": 8486
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5584315794925032e-05,
+      "loss": 0.7917,
+      "step": 8487
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5583264517779282e-05,
+      "loss": 0.7591,
+      "step": 8488
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5582213150973296e-05,
+      "loss": 0.7652,
+      "step": 8489
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5581161694523966e-05,
+      "loss": 0.7889,
+      "step": 8490
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5580110148448173e-05,
+      "loss": 0.907,
+      "step": 8491
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5579058512762802e-05,
+      "loss": 0.8629,
+      "step": 8492
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5578006787484744e-05,
+      "loss": 0.7456,
+      "step": 8493
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5576954972630885e-05,
+      "loss": 0.9438,
+      "step": 8494
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5575903068218115e-05,
+      "loss": 0.8905,
+      "step": 8495
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5574851074263334e-05,
+      "loss": 0.8212,
+      "step": 8496
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5573798990783425e-05,
+      "loss": 0.8272,
+      "step": 8497
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5572746817795294e-05,
+      "loss": 0.9524,
+      "step": 8498
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.557169455531583e-05,
+      "loss": 0.7427,
+      "step": 8499
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5570642203361932e-05,
+      "loss": 0.9213,
+      "step": 8500
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.55695897619505e-05,
+      "loss": 0.8676,
+      "step": 8501
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5568537231098438e-05,
+      "loss": 0.73,
+      "step": 8502
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5567484610822644e-05,
+      "loss": 0.9108,
+      "step": 8503
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5566431901140025e-05,
+      "loss": 0.8583,
+      "step": 8504
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5565379102067485e-05,
+      "loss": 0.7697,
+      "step": 8505
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.556432621362193e-05,
+      "loss": 0.8178,
+      "step": 8506
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5563273235820268e-05,
+      "loss": 0.8762,
+      "step": 8507
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5562220168679408e-05,
+      "loss": 0.969,
+      "step": 8508
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.556116701221626e-05,
+      "loss": 0.7868,
+      "step": 8509
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5560113766447743e-05,
+      "loss": 0.8674,
+      "step": 8510
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.555906043139076e-05,
+      "loss": 0.8653,
+      "step": 8511
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.555800700706224e-05,
+      "loss": 0.7363,
+      "step": 8512
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.555695349347909e-05,
+      "loss": 0.7643,
+      "step": 8513
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.555589989065823e-05,
+      "loss": 0.7213,
+      "step": 8514
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5554846198616576e-05,
+      "loss": 0.8048,
+      "step": 8515
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5553792417371058e-05,
+      "loss": 0.7669,
+      "step": 8516
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.555273854693859e-05,
+      "loss": 0.8093,
+      "step": 8517
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5551684587336097e-05,
+      "loss": 1.0297,
+      "step": 8518
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5550630538580508e-05,
+      "loss": 0.9119,
+      "step": 8519
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5549576400688748e-05,
+      "loss": 0.9111,
+      "step": 8520
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.554852217367775e-05,
+      "loss": 0.939,
+      "step": 8521
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.554746785756443e-05,
+      "loss": 0.9079,
+      "step": 8522
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5546413452365734e-05,
+      "loss": 0.964,
+      "step": 8523
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5545358958098584e-05,
+      "loss": 0.9276,
+      "step": 8524
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.554430437477992e-05,
+      "loss": 0.8162,
+      "step": 8525
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5543249702426674e-05,
+      "loss": 0.8925,
+      "step": 8526
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5542194941055785e-05,
+      "loss": 0.805,
+      "step": 8527
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.554114009068419e-05,
+      "loss": 0.7897,
+      "step": 8528
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5540085151328826e-05,
+      "loss": 0.866,
+      "step": 8529
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5539030123006636e-05,
+      "loss": 0.9547,
+      "step": 8530
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5537975005734566e-05,
+      "loss": 0.8266,
+      "step": 8531
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.553691979952956e-05,
+      "loss": 0.8866,
+      "step": 8532
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5535864504408553e-05,
+      "loss": 0.8083,
+      "step": 8533
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5534809120388502e-05,
+      "loss": 0.8335,
+      "step": 8534
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5533753647486352e-05,
+      "loss": 0.8966,
+      "step": 8535
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5532698085719052e-05,
+      "loss": 0.9563,
+      "step": 8536
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5531642435103556e-05,
+      "loss": 0.9991,
+      "step": 8537
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5530586695656814e-05,
+      "loss": 0.7651,
+      "step": 8538
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5529530867395778e-05,
+      "loss": 0.8524,
+      "step": 8539
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5528474950337405e-05,
+      "loss": 0.8007,
+      "step": 8540
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5527418944498656e-05,
+      "loss": 0.8933,
+      "step": 8541
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5526362849896478e-05,
+      "loss": 0.8069,
+      "step": 8542
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5525306666547843e-05,
+      "loss": 0.8182,
+      "step": 8543
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5524250394469708e-05,
+      "loss": 0.8514,
+      "step": 8544
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5523194033679027e-05,
+      "loss": 0.8874,
+      "step": 8545
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5522137584192775e-05,
+      "loss": 0.874,
+      "step": 8546
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.552108104602791e-05,
+      "loss": 0.8029,
+      "step": 8547
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5520024419201406e-05,
+      "loss": 0.9041,
+      "step": 8548
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5518967703730224e-05,
+      "loss": 0.8969,
+      "step": 8549
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.551791089963134e-05,
+      "loss": 0.8615,
+      "step": 8550
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5516854006921714e-05,
+      "loss": 0.8762,
+      "step": 8551
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5515797025618332e-05,
+      "loss": 0.9294,
+      "step": 8552
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.551473995573816e-05,
+      "loss": 0.792,
+      "step": 8553
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5513682797298172e-05,
+      "loss": 0.886,
+      "step": 8554
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5512625550315354e-05,
+      "loss": 0.8307,
+      "step": 8555
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.551156821480667e-05,
+      "loss": 0.8199,
+      "step": 8556
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.551051079078911e-05,
+      "loss": 0.9536,
+      "step": 8557
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.550945327827965e-05,
+      "loss": 0.8471,
+      "step": 8558
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5508395677295278e-05,
+      "loss": 0.9381,
+      "step": 8559
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5507337987852972e-05,
+      "loss": 0.8811,
+      "step": 8560
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5506280209969716e-05,
+      "loss": 0.828,
+      "step": 8561
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5505222343662506e-05,
+      "loss": 0.8566,
+      "step": 8562
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.550416438894832e-05,
+      "loss": 0.6879,
+      "step": 8563
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.550310634584415e-05,
+      "loss": 0.926,
+      "step": 8564
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5502048214366986e-05,
+      "loss": 0.822,
+      "step": 8565
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5500989994533828e-05,
+      "loss": 0.8568,
+      "step": 8566
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5499931686361658e-05,
+      "loss": 0.7518,
+      "step": 8567
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.549887328986748e-05,
+      "loss": 0.8187,
+      "step": 8568
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5497814805068286e-05,
+      "loss": 0.9358,
+      "step": 8569
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5496756231981077e-05,
+      "loss": 0.8172,
+      "step": 8570
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.549569757062285e-05,
+      "loss": 1.0046,
+      "step": 8571
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5494638821010607e-05,
+      "loss": 0.7449,
+      "step": 8572
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.549357998316135e-05,
+      "loss": 0.8561,
+      "step": 8573
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.549252105709208e-05,
+      "loss": 0.7985,
+      "step": 8574
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5491462042819808e-05,
+      "loss": 0.8197,
+      "step": 8575
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.549040294036153e-05,
+      "loss": 0.7903,
+      "step": 8576
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5489343749734268e-05,
+      "loss": 0.8542,
+      "step": 8577
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.548828447095502e-05,
+      "loss": 0.8734,
+      "step": 8578
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.54872251040408e-05,
+      "loss": 0.8175,
+      "step": 8579
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5486165649008623e-05,
+      "loss": 0.8967,
+      "step": 8580
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.54851061058755e-05,
+      "loss": 0.7848,
+      "step": 8581
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5484046474658448e-05,
+      "loss": 0.8294,
+      "step": 8582
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5482986755374478e-05,
+      "loss": 0.8941,
+      "step": 8583
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5481926948040613e-05,
+      "loss": 0.8787,
+      "step": 8584
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5480867052673868e-05,
+      "loss": 0.7935,
+      "step": 8585
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.547980706929127e-05,
+      "loss": 0.7517,
+      "step": 8586
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.547874699790983e-05,
+      "loss": 0.7585,
+      "step": 8587
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.547768683854659e-05,
+      "loss": 0.7744,
+      "step": 8588
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5476626591218553e-05,
+      "loss": 0.806,
+      "step": 8589
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5475566255942764e-05,
+      "loss": 0.8353,
+      "step": 8590
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5474505832736233e-05,
+      "loss": 0.7021,
+      "step": 8591
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5473445321616004e-05,
+      "loss": 0.839,
+      "step": 8592
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5472384722599102e-05,
+      "loss": 0.9336,
+      "step": 8593
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5471324035702555e-05,
+      "loss": 0.9082,
+      "step": 8594
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5470263260943402e-05,
+      "loss": 0.7469,
+      "step": 8595
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5469202398338676e-05,
+      "loss": 0.796,
+      "step": 8596
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5468141447905412e-05,
+      "loss": 0.7812,
+      "step": 8597
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.546708040966065e-05,
+      "loss": 0.854,
+      "step": 8598
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5466019283621426e-05,
+      "loss": 0.9333,
+      "step": 8599
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.546495806980478e-05,
+      "loss": 0.8564,
+      "step": 8600
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.546389676822776e-05,
+      "loss": 0.9945,
+      "step": 8601
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5462835378907405e-05,
+      "loss": 0.9688,
+      "step": 8602
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5461773901860754e-05,
+      "loss": 0.7572,
+      "step": 8603
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.546071233710486e-05,
+      "loss": 0.9687,
+      "step": 8604
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.545965068465677e-05,
+      "loss": 0.7481,
+      "step": 8605
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.545858894453353e-05,
+      "loss": 0.9514,
+      "step": 8606
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.545752711675219e-05,
+      "loss": 0.7803,
+      "step": 8607
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5456465201329805e-05,
+      "loss": 0.8673,
+      "step": 8608
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5455403198283426e-05,
+      "loss": 0.8284,
+      "step": 8609
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5454341107630106e-05,
+      "loss": 1.0201,
+      "step": 8610
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5453278929386904e-05,
+      "loss": 0.7724,
+      "step": 8611
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5452216663570877e-05,
+      "loss": 0.8241,
+      "step": 8612
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.545115431019908e-05,
+      "loss": 0.7906,
+      "step": 8613
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5450091869288577e-05,
+      "loss": 0.8428,
+      "step": 8614
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.544902934085643e-05,
+      "loss": 0.8746,
+      "step": 8615
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5447966724919692e-05,
+      "loss": 0.7443,
+      "step": 8616
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.544690402149544e-05,
+      "loss": 0.9444,
+      "step": 8617
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5445841230600738e-05,
+      "loss": 0.9106,
+      "step": 8618
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.544477835225265e-05,
+      "loss": 0.8091,
+      "step": 8619
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5443715386468235e-05,
+      "loss": 0.9047,
+      "step": 8620
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.544265233326458e-05,
+      "loss": 0.7926,
+      "step": 8621
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.544158919265875e-05,
+      "loss": 0.8621,
+      "step": 8622
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5440525964667813e-05,
+      "loss": 0.9536,
+      "step": 8623
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5439462649308847e-05,
+      "loss": 0.73,
+      "step": 8624
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5438399246598926e-05,
+      "loss": 0.896,
+      "step": 8625
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.543733575655513e-05,
+      "loss": 0.6882,
+      "step": 8626
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5436272179194533e-05,
+      "loss": 0.8713,
+      "step": 8627
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5435208514534215e-05,
+      "loss": 0.8735,
+      "step": 8628
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5434144762591263e-05,
+      "loss": 0.8511,
+      "step": 8629
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5433080923382754e-05,
+      "loss": 0.8334,
+      "step": 8630
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5432016996925772e-05,
+      "loss": 0.9092,
+      "step": 8631
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5430952983237404e-05,
+      "loss": 0.9995,
+      "step": 8632
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.542988888233474e-05,
+      "loss": 0.897,
+      "step": 8633
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5428824694234857e-05,
+      "loss": 0.9607,
+      "step": 8634
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.542776041895486e-05,
+      "loss": 0.7952,
+      "step": 8635
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5426696056511827e-05,
+      "loss": 0.8938,
+      "step": 8636
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.542563160692286e-05,
+      "loss": 0.7764,
+      "step": 8637
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5424567070205043e-05,
+      "loss": 0.8194,
+      "step": 8638
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.542350244637548e-05,
+      "loss": 0.8915,
+      "step": 8639
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5422437735451262e-05,
+      "loss": 0.8728,
+      "step": 8640
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5421372937449487e-05,
+      "loss": 0.7772,
+      "step": 8641
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.542030805238726e-05,
+      "loss": 0.8302,
+      "step": 8642
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5419243080281675e-05,
+      "loss": 0.7585,
+      "step": 8643
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5418178021149837e-05,
+      "loss": 0.8063,
+      "step": 8644
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5417112875008854e-05,
+      "loss": 0.902,
+      "step": 8645
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5416047641875823e-05,
+      "loss": 0.8462,
+      "step": 8646
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.541498232176785e-05,
+      "loss": 0.8492,
+      "step": 8647
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.541391691470205e-05,
+      "loss": 0.7363,
+      "step": 8648
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5412851420695524e-05,
+      "loss": 0.9072,
+      "step": 8649
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.541178583976539e-05,
+      "loss": 0.8321,
+      "step": 8650
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5410720171928758e-05,
+      "loss": 0.7115,
+      "step": 8651
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.540965441720274e-05,
+      "loss": 0.8237,
+      "step": 8652
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5408588575604452e-05,
+      "loss": 0.7188,
+      "step": 8653
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5407522647151005e-05,
+      "loss": 0.9783,
+      "step": 8654
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5406456631859523e-05,
+      "loss": 0.8734,
+      "step": 8655
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5405390529747123e-05,
+      "loss": 0.8181,
+      "step": 8656
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.540432434083092e-05,
+      "loss": 0.7523,
+      "step": 8657
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5403258065128042e-05,
+      "loss": 0.9104,
+      "step": 8658
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5402191702655614e-05,
+      "loss": 0.8845,
+      "step": 8659
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5401125253430753e-05,
+      "loss": 0.8363,
+      "step": 8660
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5400058717470585e-05,
+      "loss": 0.9152,
+      "step": 8661
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5398992094792247e-05,
+      "loss": 0.9226,
+      "step": 8662
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5397925385412858e-05,
+      "loss": 0.8214,
+      "step": 8663
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5396858589349553e-05,
+      "loss": 0.821,
+      "step": 8664
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.539579170661946e-05,
+      "loss": 0.8831,
+      "step": 8665
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5394724737239712e-05,
+      "loss": 0.8531,
+      "step": 8666
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5393657681227448e-05,
+      "loss": 0.8287,
+      "step": 8667
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.53925905385998e-05,
+      "loss": 0.7711,
+      "step": 8668
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.53915233093739e-05,
+      "loss": 0.9442,
+      "step": 8669
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.53904559935669e-05,
+      "loss": 0.7773,
+      "step": 8670
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5389388591195928e-05,
+      "loss": 0.7762,
+      "step": 8671
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5388321102278124e-05,
+      "loss": 0.8851,
+      "step": 8672
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.538725352683064e-05,
+      "loss": 0.8377,
+      "step": 8673
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5386185864870615e-05,
+      "loss": 0.9543,
+      "step": 8674
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5385118116415194e-05,
+      "loss": 0.8649,
+      "step": 8675
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.538405028148152e-05,
+      "loss": 0.8827,
+      "step": 8676
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5382982360086753e-05,
+      "loss": 0.7916,
+      "step": 8677
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5381914352248027e-05,
+      "loss": 0.7574,
+      "step": 8678
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.53808462579825e-05,
+      "loss": 0.8945,
+      "step": 8679
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5379778077307333e-05,
+      "loss": 0.7968,
+      "step": 8680
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5378709810239666e-05,
+      "loss": 0.8373,
+      "step": 8681
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5377641456796658e-05,
+      "loss": 0.7651,
+      "step": 8682
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.537657301699547e-05,
+      "loss": 0.8352,
+      "step": 8683
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5375504490853255e-05,
+      "loss": 0.9254,
+      "step": 8684
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.537443587838717e-05,
+      "loss": 0.8068,
+      "step": 8685
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5373367179614387e-05,
+      "loss": 0.7714,
+      "step": 8686
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5372298394552053e-05,
+      "loss": 0.7939,
+      "step": 8687
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5371229523217343e-05,
+      "loss": 0.8519,
+      "step": 8688
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5370160565627417e-05,
+      "loss": 0.9059,
+      "step": 8689
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5369091521799438e-05,
+      "loss": 0.9511,
+      "step": 8690
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5368022391750583e-05,
+      "loss": 0.8475,
+      "step": 8691
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5366953175498012e-05,
+      "loss": 0.7911,
+      "step": 8692
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5365883873058897e-05,
+      "loss": 0.773,
+      "step": 8693
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.536481448445041e-05,
+      "loss": 0.792,
+      "step": 8694
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.536374500968973e-05,
+      "loss": 0.8356,
+      "step": 8695
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.536267544879402e-05,
+      "loss": 0.82,
+      "step": 8696
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5361605801780465e-05,
+      "loss": 0.9438,
+      "step": 8697
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.536053606866624e-05,
+      "loss": 0.8609,
+      "step": 8698
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.535946624946852e-05,
+      "loss": 0.7998,
+      "step": 8699
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5358396344204494e-05,
+      "loss": 0.8662,
+      "step": 8700
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.535732635289133e-05,
+      "loss": 0.7766,
+      "step": 8701
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.535625627554622e-05,
+      "loss": 0.6926,
+      "step": 8702
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.535518611218635e-05,
+      "loss": 0.8558,
+      "step": 8703
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.53541158628289e-05,
+      "loss": 0.8949,
+      "step": 8704
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5353045527491052e-05,
+      "loss": 0.8129,
+      "step": 8705
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5351975106190006e-05,
+      "loss": 0.8672,
+      "step": 8706
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5350904598942947e-05,
+      "loss": 0.919,
+      "step": 8707
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.534983400576706e-05,
+      "loss": 0.9705,
+      "step": 8708
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.534876332667955e-05,
+      "loss": 0.9345,
+      "step": 8709
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.53476925616976e-05,
+      "loss": 0.8718,
+      "step": 8710
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.534662171083841e-05,
+      "loss": 0.857,
+      "step": 8711
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.534555077411917e-05,
+      "loss": 0.8608,
+      "step": 8712
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5344479751557085e-05,
+      "loss": 0.7759,
+      "step": 8713
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5343408643169354e-05,
+      "loss": 0.8935,
+      "step": 8714
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5342337448973176e-05,
+      "loss": 0.7902,
+      "step": 8715
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.534126616898575e-05,
+      "loss": 0.7859,
+      "step": 8716
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5340194803224284e-05,
+      "loss": 0.9674,
+      "step": 8717
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5339123351705986e-05,
+      "loss": 0.9347,
+      "step": 8718
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5338051814448048e-05,
+      "loss": 0.7891,
+      "step": 8719
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5336980191467696e-05,
+      "loss": 0.7852,
+      "step": 8720
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.533590848278212e-05,
+      "loss": 0.8759,
+      "step": 8721
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5334836688408548e-05,
+      "loss": 0.9268,
+      "step": 8722
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.533376480836418e-05,
+      "loss": 0.8214,
+      "step": 8723
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5332692842666236e-05,
+      "loss": 0.847,
+      "step": 8724
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5331620791331924e-05,
+      "loss": 0.7478,
+      "step": 8725
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5330548654378464e-05,
+      "loss": 0.8459,
+      "step": 8726
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5329476431823072e-05,
+      "loss": 0.8325,
+      "step": 8727
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5328404123682966e-05,
+      "loss": 0.8981,
+      "step": 8728
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.532733172997537e-05,
+      "loss": 0.882,
+      "step": 8729
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5326259250717497e-05,
+      "loss": 0.6917,
+      "step": 8730
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5325186685926578e-05,
+      "loss": 0.833,
+      "step": 8731
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5324114035619832e-05,
+      "loss": 0.8787,
+      "step": 8732
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.532304129981449e-05,
+      "loss": 0.8903,
+      "step": 8733
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.532196847852777e-05,
+      "loss": 0.7479,
+      "step": 8734
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5320895571776903e-05,
+      "loss": 0.7822,
+      "step": 8735
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5319822579579125e-05,
+      "loss": 0.7627,
+      "step": 8736
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.531874950195166e-05,
+      "loss": 0.693,
+      "step": 8737
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5317676338911748e-05,
+      "loss": 0.7735,
+      "step": 8738
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5316603090476614e-05,
+      "loss": 0.984,
+      "step": 8739
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5315529756663495e-05,
+      "loss": 0.8082,
+      "step": 8740
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.531445633748963e-05,
+      "loss": 0.6607,
+      "step": 8741
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5313382832972257e-05,
+      "loss": 0.8091,
+      "step": 8742
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.531230924312861e-05,
+      "loss": 0.9135,
+      "step": 8743
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5311235567975936e-05,
+      "loss": 0.8633,
+      "step": 8744
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5310161807531476e-05,
+      "loss": 0.7473,
+      "step": 8745
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5309087961812468e-05,
+      "loss": 0.911,
+      "step": 8746
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.530801403083616e-05,
+      "loss": 0.7824,
+      "step": 8747
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.53069400146198e-05,
+      "loss": 0.8174,
+      "step": 8748
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5305865913180633e-05,
+      "loss": 0.6846,
+      "step": 8749
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5304791726535905e-05,
+      "loss": 0.7344,
+      "step": 8750
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5303717454702872e-05,
+      "loss": 0.9494,
+      "step": 8751
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.530264309769878e-05,
+      "loss": 0.9347,
+      "step": 8752
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.530156865554089e-05,
+      "loss": 0.8107,
+      "step": 8753
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5300494128246447e-05,
+      "loss": 0.8827,
+      "step": 8754
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.529941951583271e-05,
+      "loss": 0.9322,
+      "step": 8755
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5298344818316937e-05,
+      "loss": 0.7452,
+      "step": 8756
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5297270035716386e-05,
+      "loss": 0.7961,
+      "step": 8757
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5296195168048315e-05,
+      "loss": 0.8678,
+      "step": 8758
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5295120215329985e-05,
+      "loss": 0.787,
+      "step": 8759
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.529404517757866e-05,
+      "loss": 0.8756,
+      "step": 8760
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5292970054811606e-05,
+      "loss": 0.6426,
+      "step": 8761
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.529189484704608e-05,
+      "loss": 0.8563,
+      "step": 8762
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5290819554299358e-05,
+      "loss": 1.0071,
+      "step": 8763
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5289744176588704e-05,
+      "loss": 0.8051,
+      "step": 8764
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5288668713931387e-05,
+      "loss": 0.8787,
+      "step": 8765
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5287593166344677e-05,
+      "loss": 0.8005,
+      "step": 8766
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5286517533845845e-05,
+      "loss": 0.8055,
+      "step": 8767
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5285441816452168e-05,
+      "loss": 0.8323,
+      "step": 8768
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5284366014180916e-05,
+      "loss": 0.8182,
+      "step": 8769
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.528329012704937e-05,
+      "loss": 0.9418,
+      "step": 8770
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5282214155074805e-05,
+      "loss": 0.7473,
+      "step": 8771
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5281138098274496e-05,
+      "loss": 0.8314,
+      "step": 8772
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.528006195666573e-05,
+      "loss": 0.9172,
+      "step": 8773
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5278985730265782e-05,
+      "loss": 0.7688,
+      "step": 8774
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5277909419091942e-05,
+      "loss": 0.8536,
+      "step": 8775
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.527683302316149e-05,
+      "loss": 0.8741,
+      "step": 8776
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.527575654249171e-05,
+      "loss": 0.6576,
+      "step": 8777
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.527467997709989e-05,
+      "loss": 0.8976,
+      "step": 8778
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.527360332700332e-05,
+      "loss": 0.8183,
+      "step": 8779
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.527252659221929e-05,
+      "loss": 0.7417,
+      "step": 8780
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.527144977276509e-05,
+      "loss": 0.8054,
+      "step": 8781
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5270372868658012e-05,
+      "loss": 0.7893,
+      "step": 8782
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.526929587991535e-05,
+      "loss": 0.8763,
+      "step": 8783
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5268218806554398e-05,
+      "loss": 0.7831,
+      "step": 8784
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.526714164859245e-05,
+      "loss": 0.8099,
+      "step": 8785
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5266064406046813e-05,
+      "loss": 0.7457,
+      "step": 8786
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5264987078934778e-05,
+      "loss": 0.8792,
+      "step": 8787
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.526390966727365e-05,
+      "loss": 0.8386,
+      "step": 8788
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5262832171080726e-05,
+      "loss": 0.7485,
+      "step": 8789
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5261754590373312e-05,
+      "loss": 0.8262,
+      "step": 8790
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5260676925168713e-05,
+      "loss": 0.9567,
+      "step": 8791
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5259599175484233e-05,
+      "loss": 0.8683,
+      "step": 8792
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5258521341337185e-05,
+      "loss": 0.7625,
+      "step": 8793
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.525744342274487e-05,
+      "loss": 0.8641,
+      "step": 8794
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5256365419724603e-05,
+      "loss": 0.9131,
+      "step": 8795
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5255287332293697e-05,
+      "loss": 0.7701,
+      "step": 8796
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5254209160469457e-05,
+      "loss": 0.7833,
+      "step": 8797
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5253130904269205e-05,
+      "loss": 0.793,
+      "step": 8798
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5252052563710252e-05,
+      "loss": 0.8641,
+      "step": 8799
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5250974138809915e-05,
+      "loss": 0.9875,
+      "step": 8800
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5249895629585511e-05,
+      "loss": 0.7507,
+      "step": 8801
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5248817036054366e-05,
+      "loss": 0.911,
+      "step": 8802
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5247738358233795e-05,
+      "loss": 0.9336,
+      "step": 8803
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5246659596141123e-05,
+      "loss": 0.8111,
+      "step": 8804
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5245580749793672e-05,
+      "loss": 0.8046,
+      "step": 8805
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5244501819208766e-05,
+      "loss": 0.6912,
+      "step": 8806
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5243422804403731e-05,
+      "loss": 0.8632,
+      "step": 8807
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5242343705395897e-05,
+      "loss": 0.8693,
+      "step": 8808
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5241264522202594e-05,
+      "loss": 0.8965,
+      "step": 8809
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5240185254841149e-05,
+      "loss": 0.8787,
+      "step": 8810
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5239105903328896e-05,
+      "loss": 0.7579,
+      "step": 8811
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5238026467683167e-05,
+      "loss": 0.8365,
+      "step": 8812
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5236946947921296e-05,
+      "loss": 0.856,
+      "step": 8813
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5235867344060622e-05,
+      "loss": 0.9072,
+      "step": 8814
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5234787656118477e-05,
+      "loss": 0.7463,
+      "step": 8815
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5233707884112201e-05,
+      "loss": 0.7139,
+      "step": 8816
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5232628028059137e-05,
+      "loss": 0.8321,
+      "step": 8817
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5231548087976622e-05,
+      "loss": 0.917,
+      "step": 8818
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5230468063882e-05,
+      "loss": 0.8407,
+      "step": 8819
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5229387955792616e-05,
+      "loss": 0.9355,
+      "step": 8820
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5228307763725814e-05,
+      "loss": 0.7144,
+      "step": 8821
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5227227487698941e-05,
+      "loss": 0.7408,
+      "step": 8822
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5226147127729341e-05,
+      "loss": 0.8149,
+      "step": 8823
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.522506668383437e-05,
+      "loss": 0.6973,
+      "step": 8824
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5223986156031379e-05,
+      "loss": 0.8255,
+      "step": 8825
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5222905544337709e-05,
+      "loss": 0.9053,
+      "step": 8826
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5221824848770728e-05,
+      "loss": 0.9246,
+      "step": 8827
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5220744069347777e-05,
+      "loss": 0.7903,
+      "step": 8828
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5219663206086221e-05,
+      "loss": 0.8507,
+      "step": 8829
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5218582259003413e-05,
+      "loss": 0.7851,
+      "step": 8830
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5217501228116715e-05,
+      "loss": 0.8664,
+      "step": 8831
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5216420113443484e-05,
+      "loss": 0.7494,
+      "step": 8832
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5215338915001084e-05,
+      "loss": 0.9077,
+      "step": 8833
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5214257632806875e-05,
+      "loss": 0.9207,
+      "step": 8834
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5213176266878223e-05,
+      "loss": 0.7116,
+      "step": 8835
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5212094817232492e-05,
+      "loss": 0.6349,
+      "step": 8836
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.521101328388705e-05,
+      "loss": 0.7873,
+      "step": 8837
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5209931666859263e-05,
+      "loss": 0.7268,
+      "step": 8838
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5208849966166503e-05,
+      "loss": 0.6808,
+      "step": 8839
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5207768181826138e-05,
+      "loss": 0.926,
+      "step": 8840
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5206686313855542e-05,
+      "loss": 0.8541,
+      "step": 8841
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5205604362272093e-05,
+      "loss": 0.7444,
+      "step": 8842
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5204522327093157e-05,
+      "loss": 0.8671,
+      "step": 8843
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5203440208336114e-05,
+      "loss": 0.8505,
+      "step": 8844
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5202358006018342e-05,
+      "loss": 0.7701,
+      "step": 8845
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5201275720157218e-05,
+      "loss": 0.7433,
+      "step": 8846
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5200193350770124e-05,
+      "loss": 0.7985,
+      "step": 8847
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5199110897874442e-05,
+      "loss": 1.0195,
+      "step": 8848
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5198028361487554e-05,
+      "loss": 0.846,
+      "step": 8849
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.519694574162684e-05,
+      "loss": 0.7964,
+      "step": 8850
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5195863038309698e-05,
+      "loss": 0.7706,
+      "step": 8851
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5194780251553497e-05,
+      "loss": 0.7709,
+      "step": 8852
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5193697381375641e-05,
+      "loss": 0.9387,
+      "step": 8853
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5192614427793513e-05,
+      "loss": 0.813,
+      "step": 8854
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5191531390824498e-05,
+      "loss": 0.7395,
+      "step": 8855
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5190448270486e-05,
+      "loss": 0.868,
+      "step": 8856
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5189365066795405e-05,
+      "loss": 0.9281,
+      "step": 8857
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5188281779770111e-05,
+      "loss": 0.8699,
+      "step": 8858
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.518719840942751e-05,
+      "loss": 0.8439,
+      "step": 8859
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5186114955785005e-05,
+      "loss": 0.8082,
+      "step": 8860
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5185031418859992e-05,
+      "loss": 0.7553,
+      "step": 8861
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5183947798669874e-05,
+      "loss": 0.9073,
+      "step": 8862
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5182864095232044e-05,
+      "loss": 0.8407,
+      "step": 8863
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5181780308563916e-05,
+      "loss": 0.8819,
+      "step": 8864
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5180696438682887e-05,
+      "loss": 0.7504,
+      "step": 8865
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5179612485606366e-05,
+      "loss": 0.8596,
+      "step": 8866
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.517852844935176e-05,
+      "loss": 0.7317,
+      "step": 8867
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5177444329936472e-05,
+      "loss": 1.0513,
+      "step": 8868
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.517636012737792e-05,
+      "loss": 0.9596,
+      "step": 8869
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.517527584169351e-05,
+      "loss": 0.8327,
+      "step": 8870
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5174191472900654e-05,
+      "loss": 1.0479,
+      "step": 8871
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5173107021016766e-05,
+      "loss": 0.9456,
+      "step": 8872
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5172022486059264e-05,
+      "loss": 0.7894,
+      "step": 8873
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5170937868045558e-05,
+      "loss": 0.6863,
+      "step": 8874
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.516985316699307e-05,
+      "loss": 0.8766,
+      "step": 8875
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5168768382919222e-05,
+      "loss": 0.779,
+      "step": 8876
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5167683515841427e-05,
+      "loss": 1.0028,
+      "step": 8877
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5166598565777113e-05,
+      "loss": 0.9057,
+      "step": 8878
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5165513532743696e-05,
+      "loss": 0.8719,
+      "step": 8879
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.516442841675861e-05,
+      "loss": 0.8498,
+      "step": 8880
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.516334321783927e-05,
+      "loss": 0.7766,
+      "step": 8881
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5162257936003112e-05,
+      "loss": 0.9125,
+      "step": 8882
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.516117257126756e-05,
+      "loss": 0.8329,
+      "step": 8883
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5160087123650041e-05,
+      "loss": 0.7154,
+      "step": 8884
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.515900159316799e-05,
+      "loss": 0.8617,
+      "step": 8885
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5157915979838835e-05,
+      "loss": 0.9861,
+      "step": 8886
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5156830283680017e-05,
+      "loss": 0.8205,
+      "step": 8887
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5155744504708964e-05,
+      "loss": 0.8173,
+      "step": 8888
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5154658642943116e-05,
+      "loss": 0.6991,
+      "step": 8889
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.515357269839991e-05,
+      "loss": 0.8182,
+      "step": 8890
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5152486671096785e-05,
+      "loss": 0.9478,
+      "step": 8891
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5151400561051177e-05,
+      "loss": 0.8464,
+      "step": 8892
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5150314368280535e-05,
+      "loss": 0.806,
+      "step": 8893
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5149228092802296e-05,
+      "loss": 0.7538,
+      "step": 8894
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5148141734633903e-05,
+      "loss": 0.8443,
+      "step": 8895
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.514705529379281e-05,
+      "loss": 1.0264,
+      "step": 8896
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5145968770296456e-05,
+      "loss": 0.9099,
+      "step": 8897
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.514488216416229e-05,
+      "loss": 0.9729,
+      "step": 8898
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5143795475407767e-05,
+      "loss": 0.8224,
+      "step": 8899
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5142708704050333e-05,
+      "loss": 0.8751,
+      "step": 8900
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5141621850107441e-05,
+      "loss": 0.8409,
+      "step": 8901
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5140534913596545e-05,
+      "loss": 0.8627,
+      "step": 8902
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5139447894535102e-05,
+      "loss": 0.7865,
+      "step": 8903
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5138360792940562e-05,
+      "loss": 0.8689,
+      "step": 8904
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5137273608830387e-05,
+      "loss": 0.9571,
+      "step": 8905
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5136186342222038e-05,
+      "loss": 0.8325,
+      "step": 8906
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5135098993132969e-05,
+      "loss": 0.843,
+      "step": 8907
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5134011561580648e-05,
+      "loss": 0.8144,
+      "step": 8908
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5132924047582533e-05,
+      "loss": 0.8159,
+      "step": 8909
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5131836451156089e-05,
+      "loss": 0.7781,
+      "step": 8910
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5130748772318784e-05,
+      "loss": 0.7698,
+      "step": 8911
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5129661011088082e-05,
+      "loss": 0.8121,
+      "step": 8912
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.512857316748145e-05,
+      "loss": 0.9581,
+      "step": 8913
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5127485241516362e-05,
+      "loss": 0.8582,
+      "step": 8914
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5126397233210286e-05,
+      "loss": 0.7335,
+      "step": 8915
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5125309142580694e-05,
+      "loss": 0.9196,
+      "step": 8916
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5124220969645059e-05,
+      "loss": 0.7637,
+      "step": 8917
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5123132714420856e-05,
+      "loss": 0.8539,
+      "step": 8918
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5122044376925559e-05,
+      "loss": 0.8509,
+      "step": 8919
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5120955957176651e-05,
+      "loss": 0.7194,
+      "step": 8920
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5119867455191607e-05,
+      "loss": 0.754,
+      "step": 8921
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5118778870987906e-05,
+      "loss": 0.9297,
+      "step": 8922
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5117690204583033e-05,
+      "loss": 0.7818,
+      "step": 8923
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5116601455994464e-05,
+      "loss": 0.9128,
+      "step": 8924
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.511551262523969e-05,
+      "loss": 0.874,
+      "step": 8925
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5114423712336193e-05,
+      "loss": 0.7071,
+      "step": 8926
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5113334717301458e-05,
+      "loss": 0.8047,
+      "step": 8927
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5112245640152975e-05,
+      "loss": 1.0187,
+      "step": 8928
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5111156480908236e-05,
+      "loss": 0.8321,
+      "step": 8929
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5110067239584725e-05,
+      "loss": 0.9063,
+      "step": 8930
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5108977916199941e-05,
+      "loss": 0.8721,
+      "step": 8931
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5107888510771374e-05,
+      "loss": 0.8942,
+      "step": 8932
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5106799023316514e-05,
+      "loss": 0.7066,
+      "step": 8933
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5105709453852863e-05,
+      "loss": 0.7846,
+      "step": 8934
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5104619802397916e-05,
+      "loss": 0.803,
+      "step": 8935
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5103530068969172e-05,
+      "loss": 0.9029,
+      "step": 8936
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5102440253584128e-05,
+      "loss": 0.7666,
+      "step": 8937
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.510135035626029e-05,
+      "loss": 0.7876,
+      "step": 8938
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5100260377015155e-05,
+      "loss": 0.8816,
+      "step": 8939
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.509917031586623e-05,
+      "loss": 0.7676,
+      "step": 8940
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5098080172831022e-05,
+      "loss": 0.8683,
+      "step": 8941
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5096989947927032e-05,
+      "loss": 0.7278,
+      "step": 8942
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.509589964117177e-05,
+      "loss": 0.7148,
+      "step": 8943
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5094809252582744e-05,
+      "loss": 0.7198,
+      "step": 8944
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.509371878217747e-05,
+      "loss": 0.9086,
+      "step": 8945
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5092628229973452e-05,
+      "loss": 0.8567,
+      "step": 8946
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5091537595988208e-05,
+      "loss": 0.816,
+      "step": 8947
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5090446880239249e-05,
+      "loss": 0.8354,
+      "step": 8948
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5089356082744093e-05,
+      "loss": 0.7705,
+      "step": 8949
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5088265203520254e-05,
+      "loss": 0.8576,
+      "step": 8950
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5087174242585251e-05,
+      "loss": 0.7382,
+      "step": 8951
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5086083199956608e-05,
+      "loss": 0.7735,
+      "step": 8952
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5084992075651838e-05,
+      "loss": 0.8171,
+      "step": 8953
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5083900869688473e-05,
+      "loss": 0.8483,
+      "step": 8954
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5082809582084023e-05,
+      "loss": 0.9264,
+      "step": 8955
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5081718212856025e-05,
+      "loss": 0.8474,
+      "step": 8956
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5080626762021997e-05,
+      "loss": 0.9291,
+      "step": 8957
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.507953522959947e-05,
+      "loss": 0.9942,
+      "step": 8958
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5078443615605976e-05,
+      "loss": 0.8766,
+      "step": 8959
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.507735192005904e-05,
+      "loss": 0.7896,
+      "step": 8960
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5076260142976194e-05,
+      "loss": 0.6827,
+      "step": 8961
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5075168284374968e-05,
+      "loss": 0.8522,
+      "step": 8962
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.50740763442729e-05,
+      "loss": 0.7873,
+      "step": 8963
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5072984322687526e-05,
+      "loss": 0.9125,
+      "step": 8964
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5071892219636382e-05,
+      "loss": 0.9539,
+      "step": 8965
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5070800035136998e-05,
+      "loss": 0.7911,
+      "step": 8966
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5069707769206926e-05,
+      "loss": 0.7856,
+      "step": 8967
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5068615421863697e-05,
+      "loss": 0.7693,
+      "step": 8968
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5067522993124856e-05,
+      "loss": 0.8383,
+      "step": 8969
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5066430483007949e-05,
+      "loss": 0.8721,
+      "step": 8970
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5065337891530511e-05,
+      "loss": 0.736,
+      "step": 8971
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5064245218710099e-05,
+      "loss": 0.8686,
+      "step": 8972
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.506315246456425e-05,
+      "loss": 0.7388,
+      "step": 8973
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5062059629110518e-05,
+      "loss": 0.6308,
+      "step": 8974
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5060966712366454e-05,
+      "loss": 0.9063,
+      "step": 8975
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5059873714349606e-05,
+      "loss": 0.6657,
+      "step": 8976
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5058780635077525e-05,
+      "loss": 0.8383,
+      "step": 8977
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5057687474567769e-05,
+      "loss": 0.808,
+      "step": 8978
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5056594232837884e-05,
+      "loss": 0.9117,
+      "step": 8979
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5055500909905437e-05,
+      "loss": 0.947,
+      "step": 8980
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.505440750578798e-05,
+      "loss": 0.7926,
+      "step": 8981
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.505331402050307e-05,
+      "loss": 0.8041,
+      "step": 8982
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5052220454068267e-05,
+      "loss": 0.796,
+      "step": 8983
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5051126806501137e-05,
+      "loss": 0.8577,
+      "step": 8984
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.505003307781924e-05,
+      "loss": 0.8463,
+      "step": 8985
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.504893926804014e-05,
+      "loss": 0.726,
+      "step": 8986
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5047845377181403e-05,
+      "loss": 0.858,
+      "step": 8987
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5046751405260592e-05,
+      "loss": 0.8454,
+      "step": 8988
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.504565735229528e-05,
+      "loss": 0.8293,
+      "step": 8989
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5044563218303032e-05,
+      "loss": 0.8097,
+      "step": 8990
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5043469003301417e-05,
+      "loss": 0.9249,
+      "step": 8991
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5042374707308014e-05,
+      "loss": 0.7847,
+      "step": 8992
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5041280330340391e-05,
+      "loss": 0.8411,
+      "step": 8993
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5040185872416122e-05,
+      "loss": 0.9105,
+      "step": 8994
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5039091333552783e-05,
+      "loss": 0.8817,
+      "step": 8995
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5037996713767956e-05,
+      "loss": 0.8398,
+      "step": 8996
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5036902013079209e-05,
+      "loss": 0.8402,
+      "step": 8997
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.503580723150413e-05,
+      "loss": 0.8001,
+      "step": 8998
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5034712369060297e-05,
+      "loss": 0.7715,
+      "step": 8999
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5033617425765288e-05,
+      "loss": 0.8563,
+      "step": 9000
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5032522401636698e-05,
+      "loss": 0.7326,
+      "step": 9001
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5031427296692096e-05,
+      "loss": 0.7029,
+      "step": 9002
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5030332110949081e-05,
+      "loss": 0.9594,
+      "step": 9003
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5029236844425236e-05,
+      "loss": 0.8225,
+      "step": 9004
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5028141497138151e-05,
+      "loss": 0.8908,
+      "step": 9005
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5027046069105411e-05,
+      "loss": 0.978,
+      "step": 9006
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.502595056034461e-05,
+      "loss": 0.7002,
+      "step": 9007
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5024854970873342e-05,
+      "loss": 0.7981,
+      "step": 9008
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5023759300709201e-05,
+      "loss": 0.9686,
+      "step": 9009
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5022663549869781e-05,
+      "loss": 0.7796,
+      "step": 9010
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5021567718372674e-05,
+      "loss": 0.7079,
+      "step": 9011
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5020471806235485e-05,
+      "loss": 0.7904,
+      "step": 9012
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.501937581347581e-05,
+      "loss": 0.7972,
+      "step": 9013
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5018279740111247e-05,
+      "loss": 0.7436,
+      "step": 9014
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5017183586159401e-05,
+      "loss": 0.8153,
+      "step": 9015
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5016087351637874e-05,
+      "loss": 0.8384,
+      "step": 9016
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.501499103656427e-05,
+      "loss": 0.9064,
+      "step": 9017
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5013894640956193e-05,
+      "loss": 0.9331,
+      "step": 9018
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.501279816483125e-05,
+      "loss": 0.8387,
+      "step": 9019
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5011701608207053e-05,
+      "loss": 0.8169,
+      "step": 9020
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5010604971101206e-05,
+      "loss": 0.7731,
+      "step": 9021
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5009508253531321e-05,
+      "loss": 0.7507,
+      "step": 9022
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.500841145551501e-05,
+      "loss": 0.804,
+      "step": 9023
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5007314577069889e-05,
+      "loss": 0.7448,
+      "step": 9024
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.500621761821357e-05,
+      "loss": 0.7269,
+      "step": 9025
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.500512057896367e-05,
+      "loss": 0.8666,
+      "step": 9026
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5004023459337804e-05,
+      "loss": 0.8373,
+      "step": 9027
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5002926259353592e-05,
+      "loss": 0.8706,
+      "step": 9028
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5001828979028652e-05,
+      "loss": 0.8687,
+      "step": 9029
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5000731618380608e-05,
+      "loss": 0.8161,
+      "step": 9030
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4999634177427081e-05,
+      "loss": 0.911,
+      "step": 9031
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4998536656185693e-05,
+      "loss": 0.9475,
+      "step": 9032
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.499743905467407e-05,
+      "loss": 0.7796,
+      "step": 9033
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.499634137290984e-05,
+      "loss": 0.9227,
+      "step": 9034
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4995243610910625e-05,
+      "loss": 0.8765,
+      "step": 9035
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4994145768694057e-05,
+      "loss": 0.8727,
+      "step": 9036
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4993047846277769e-05,
+      "loss": 0.7592,
+      "step": 9037
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4991949843679388e-05,
+      "loss": 0.7926,
+      "step": 9038
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4990851760916544e-05,
+      "loss": 0.6165,
+      "step": 9039
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.498975359800688e-05,
+      "loss": 0.8229,
+      "step": 9040
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4988655354968025e-05,
+      "loss": 0.7872,
+      "step": 9041
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4987557031817613e-05,
+      "loss": 0.9648,
+      "step": 9042
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4986458628573285e-05,
+      "loss": 0.7769,
+      "step": 9043
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4985360145252684e-05,
+      "loss": 0.7629,
+      "step": 9044
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4984261581873442e-05,
+      "loss": 0.6433,
+      "step": 9045
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4983162938453203e-05,
+      "loss": 0.8539,
+      "step": 9046
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4982064215009617e-05,
+      "loss": 0.6608,
+      "step": 9047
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.498096541156032e-05,
+      "loss": 0.8288,
+      "step": 9048
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.497986652812296e-05,
+      "loss": 0.8401,
+      "step": 9049
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4978767564715185e-05,
+      "loss": 0.7968,
+      "step": 9050
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4977668521354639e-05,
+      "loss": 0.8965,
+      "step": 9051
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4976569398058975e-05,
+      "loss": 0.8515,
+      "step": 9052
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4975470194845842e-05,
+      "loss": 0.8785,
+      "step": 9053
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4974370911732895e-05,
+      "loss": 0.8569,
+      "step": 9054
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.497327154873778e-05,
+      "loss": 0.7486,
+      "step": 9055
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4972172105878158e-05,
+      "loss": 0.8687,
+      "step": 9056
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4971072583171684e-05,
+      "loss": 0.8598,
+      "step": 9057
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4969972980636009e-05,
+      "loss": 0.7407,
+      "step": 9058
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4968873298288801e-05,
+      "loss": 0.9065,
+      "step": 9059
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4967773536147712e-05,
+      "loss": 0.901,
+      "step": 9060
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4966673694230406e-05,
+      "loss": 0.8184,
+      "step": 9061
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.496557377255454e-05,
+      "loss": 0.8636,
+      "step": 9062
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4964473771137784e-05,
+      "loss": 0.8492,
+      "step": 9063
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.49633736899978e-05,
+      "loss": 0.8946,
+      "step": 9064
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4962273529152257e-05,
+      "loss": 0.825,
+      "step": 9065
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4961173288618814e-05,
+      "loss": 0.9723,
+      "step": 9066
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4960072968415146e-05,
+      "loss": 0.8096,
+      "step": 9067
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4958972568558925e-05,
+      "loss": 0.6498,
+      "step": 9068
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4957872089067815e-05,
+      "loss": 0.7352,
+      "step": 9069
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4956771529959495e-05,
+      "loss": 0.9175,
+      "step": 9070
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4955670891251633e-05,
+      "loss": 0.7779,
+      "step": 9071
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4954570172961906e-05,
+      "loss": 0.9689,
+      "step": 9072
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.495346937510799e-05,
+      "loss": 0.6931,
+      "step": 9073
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4952368497707566e-05,
+      "loss": 0.8634,
+      "step": 9074
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4951267540778305e-05,
+      "loss": 0.8042,
+      "step": 9075
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4950166504337896e-05,
+      "loss": 0.8583,
+      "step": 9076
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4949065388404014e-05,
+      "loss": 0.9232,
+      "step": 9077
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4947964192994343e-05,
+      "loss": 0.8169,
+      "step": 9078
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4946862918126567e-05,
+      "loss": 0.924,
+      "step": 9079
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4945761563818372e-05,
+      "loss": 0.8222,
+      "step": 9080
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4944660130087445e-05,
+      "loss": 0.8129,
+      "step": 9081
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.494355861695147e-05,
+      "loss": 0.8918,
+      "step": 9082
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.494245702442814e-05,
+      "loss": 0.877,
+      "step": 9083
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4941355352535142e-05,
+      "loss": 0.8558,
+      "step": 9084
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4940253601290171e-05,
+      "loss": 0.8375,
+      "step": 9085
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4939151770710915e-05,
+      "loss": 0.9578,
+      "step": 9086
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4938049860815072e-05,
+      "loss": 0.8653,
+      "step": 9087
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4936947871620338e-05,
+      "loss": 0.8044,
+      "step": 9088
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4935845803144404e-05,
+      "loss": 0.9257,
+      "step": 9089
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4934743655404972e-05,
+      "loss": 0.7068,
+      "step": 9090
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.493364142841974e-05,
+      "loss": 0.7899,
+      "step": 9091
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.493253912220641e-05,
+      "loss": 0.8262,
+      "step": 9092
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4931436736782682e-05,
+      "loss": 0.8117,
+      "step": 9093
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4930334272166263e-05,
+      "loss": 1.0265,
+      "step": 9094
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4929231728374847e-05,
+      "loss": 0.8408,
+      "step": 9095
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.492812910542615e-05,
+      "loss": 0.9448,
+      "step": 9096
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4927026403337876e-05,
+      "loss": 0.8885,
+      "step": 9097
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.492592362212773e-05,
+      "loss": 0.8753,
+      "step": 9098
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4924820761813426e-05,
+      "loss": 0.843,
+      "step": 9099
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4923717822412666e-05,
+      "loss": 0.8332,
+      "step": 9100
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4922614803943172e-05,
+      "loss": 0.9098,
+      "step": 9101
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4921511706422652e-05,
+      "loss": 0.773,
+      "step": 9102
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.492040852986882e-05,
+      "loss": 1.0267,
+      "step": 9103
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4919305274299392e-05,
+      "loss": 0.8771,
+      "step": 9104
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4918201939732087e-05,
+      "loss": 0.8862,
+      "step": 9105
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4917098526184623e-05,
+      "loss": 0.8703,
+      "step": 9106
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4915995033674715e-05,
+      "loss": 0.8562,
+      "step": 9107
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.491489146222009e-05,
+      "loss": 0.824,
+      "step": 9108
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4913787811838463e-05,
+      "loss": 0.851,
+      "step": 9109
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4912684082547564e-05,
+      "loss": 0.8045,
+      "step": 9110
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4911580274365112e-05,
+      "loss": 0.8667,
+      "step": 9111
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4910476387308839e-05,
+      "loss": 1.0027,
+      "step": 9112
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4909372421396464e-05,
+      "loss": 0.8466,
+      "step": 9113
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4908268376645723e-05,
+      "loss": 0.7254,
+      "step": 9114
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4907164253074342e-05,
+      "loss": 0.9106,
+      "step": 9115
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4906060050700052e-05,
+      "loss": 0.9422,
+      "step": 9116
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4904955769540585e-05,
+      "loss": 0.8241,
+      "step": 9117
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4903851409613674e-05,
+      "loss": 0.8705,
+      "step": 9118
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4902746970937053e-05,
+      "loss": 0.9218,
+      "step": 9119
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4901642453528462e-05,
+      "loss": 0.9251,
+      "step": 9120
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4900537857405635e-05,
+      "loss": 0.8298,
+      "step": 9121
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4899433182586307e-05,
+      "loss": 0.816,
+      "step": 9122
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4898328429088227e-05,
+      "loss": 0.9009,
+      "step": 9123
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4897223596929127e-05,
+      "loss": 0.8533,
+      "step": 9124
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4896118686126752e-05,
+      "loss": 0.7158,
+      "step": 9125
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4895013696698847e-05,
+      "loss": 0.7834,
+      "step": 9126
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.489390862866316e-05,
+      "loss": 0.8185,
+      "step": 9127
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4892803482037425e-05,
+      "loss": 0.7375,
+      "step": 9128
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4891698256839402e-05,
+      "loss": 0.7565,
+      "step": 9129
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4890592953086835e-05,
+      "loss": 0.7007,
+      "step": 9130
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4889487570797471e-05,
+      "loss": 0.9452,
+      "step": 9131
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4888382109989065e-05,
+      "loss": 0.8594,
+      "step": 9132
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4887276570679368e-05,
+      "loss": 0.9337,
+      "step": 9133
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4886170952886132e-05,
+      "loss": 1.0243,
+      "step": 9134
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4885065256627115e-05,
+      "loss": 0.9107,
+      "step": 9135
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.488395948192007e-05,
+      "loss": 0.856,
+      "step": 9136
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4882853628782756e-05,
+      "loss": 0.8375,
+      "step": 9137
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4881747697232931e-05,
+      "loss": 0.8345,
+      "step": 9138
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4880641687288356e-05,
+      "loss": 0.9158,
+      "step": 9139
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.487953559896679e-05,
+      "loss": 0.9288,
+      "step": 9140
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4878429432285996e-05,
+      "loss": 0.8593,
+      "step": 9141
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4877323187263738e-05,
+      "loss": 0.8359,
+      "step": 9142
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4876216863917785e-05,
+      "loss": 0.8595,
+      "step": 9143
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4875110462265898e-05,
+      "loss": 0.8221,
+      "step": 9144
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4874003982325844e-05,
+      "loss": 0.8321,
+      "step": 9145
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4872897424115395e-05,
+      "loss": 0.9644,
+      "step": 9146
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4871790787652319e-05,
+      "loss": 0.7929,
+      "step": 9147
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4870684072954388e-05,
+      "loss": 0.8078,
+      "step": 9148
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4869577280039373e-05,
+      "loss": 1.1084,
+      "step": 9149
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4868470408925052e-05,
+      "loss": 0.9318,
+      "step": 9150
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4867363459629191e-05,
+      "loss": 0.637,
+      "step": 9151
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4866256432169577e-05,
+      "loss": 0.7744,
+      "step": 9152
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.486514932656398e-05,
+      "loss": 0.7819,
+      "step": 9153
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4864042142830184e-05,
+      "loss": 0.7864,
+      "step": 9154
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4862934880985964e-05,
+      "loss": 0.8559,
+      "step": 9155
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4861827541049103e-05,
+      "loss": 0.7994,
+      "step": 9156
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4860720123037385e-05,
+      "loss": 0.9774,
+      "step": 9157
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4859612626968592e-05,
+      "loss": 0.8326,
+      "step": 9158
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.485850505286051e-05,
+      "loss": 0.728,
+      "step": 9159
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4857397400730924e-05,
+      "loss": 0.8706,
+      "step": 9160
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4856289670597623e-05,
+      "loss": 0.767,
+      "step": 9161
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4855181862478394e-05,
+      "loss": 0.8181,
+      "step": 9162
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.485407397639103e-05,
+      "loss": 0.8548,
+      "step": 9163
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.485296601235332e-05,
+      "loss": 0.8444,
+      "step": 9164
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4851857970383057e-05,
+      "loss": 0.7878,
+      "step": 9165
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4850749850498036e-05,
+      "loss": 0.8596,
+      "step": 9166
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4849641652716047e-05,
+      "loss": 0.8652,
+      "step": 9167
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4848533377054892e-05,
+      "loss": 0.7698,
+      "step": 9168
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4847425023532369e-05,
+      "loss": 0.8388,
+      "step": 9169
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.484631659216627e-05,
+      "loss": 0.8897,
+      "step": 9170
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4845208082974402e-05,
+      "loss": 0.9164,
+      "step": 9171
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4844099495974565e-05,
+      "loss": 0.8087,
+      "step": 9172
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4842990831184559e-05,
+      "loss": 0.9839,
+      "step": 9173
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4841882088622186e-05,
+      "loss": 0.8993,
+      "step": 9174
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4840773268305258e-05,
+      "loss": 0.8691,
+      "step": 9175
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4839664370251572e-05,
+      "loss": 0.8714,
+      "step": 9176
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4838555394478947e-05,
+      "loss": 0.8694,
+      "step": 9177
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4837446341005179e-05,
+      "loss": 0.8549,
+      "step": 9178
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4836337209848088e-05,
+      "loss": 0.8645,
+      "step": 9179
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.483522800102548e-05,
+      "loss": 0.7921,
+      "step": 9180
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4834118714555172e-05,
+      "loss": 0.7864,
+      "step": 9181
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4833009350454972e-05,
+      "loss": 0.8219,
+      "step": 9182
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4831899908742699e-05,
+      "loss": 0.8255,
+      "step": 9183
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4830790389436169e-05,
+      "loss": 0.9131,
+      "step": 9184
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4829680792553198e-05,
+      "loss": 0.9009,
+      "step": 9185
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4828571118111605e-05,
+      "loss": 0.9294,
+      "step": 9186
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.482746136612921e-05,
+      "loss": 0.9382,
+      "step": 9187
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4826351536623838e-05,
+      "loss": 0.7096,
+      "step": 9188
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4825241629613304e-05,
+      "loss": 0.8942,
+      "step": 9189
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4824131645115438e-05,
+      "loss": 0.8382,
+      "step": 9190
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.482302158314806e-05,
+      "loss": 0.8149,
+      "step": 9191
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4821911443729002e-05,
+      "loss": 0.9042,
+      "step": 9192
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.482080122687609e-05,
+      "loss": 0.8782,
+      "step": 9193
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4819690932607145e-05,
+      "loss": 0.7813,
+      "step": 9194
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4818580560940008e-05,
+      "loss": 0.8103,
+      "step": 9195
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4817470111892503e-05,
+      "loss": 0.8575,
+      "step": 9196
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4816359585482465e-05,
+      "loss": 0.9449,
+      "step": 9197
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4815248981727728e-05,
+      "loss": 0.9023,
+      "step": 9198
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4814138300646127e-05,
+      "loss": 0.9708,
+      "step": 9199
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4813027542255494e-05,
+      "loss": 0.7655,
+      "step": 9200
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4811916706573673e-05,
+      "loss": 0.8444,
+      "step": 9201
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4810805793618498e-05,
+      "loss": 0.8156,
+      "step": 9202
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.480969480340781e-05,
+      "loss": 0.8504,
+      "step": 9203
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4808583735959453e-05,
+      "loss": 0.8812,
+      "step": 9204
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4807472591291263e-05,
+      "loss": 0.8628,
+      "step": 9205
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.480636136942109e-05,
+      "loss": 0.8666,
+      "step": 9206
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4805250070366773e-05,
+      "loss": 0.9132,
+      "step": 9207
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4804138694146163e-05,
+      "loss": 0.8827,
+      "step": 9208
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4803027240777104e-05,
+      "loss": 0.8639,
+      "step": 9209
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4801915710277451e-05,
+      "loss": 0.7346,
+      "step": 9210
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4800804102665045e-05,
+      "loss": 0.791,
+      "step": 9211
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.479969241795774e-05,
+      "loss": 0.9193,
+      "step": 9212
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4798580656173391e-05,
+      "loss": 0.8294,
+      "step": 9213
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4797468817329847e-05,
+      "loss": 0.8181,
+      "step": 9214
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.479635690144497e-05,
+      "loss": 0.8531,
+      "step": 9215
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.479524490853661e-05,
+      "loss": 0.9652,
+      "step": 9216
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4794132838622624e-05,
+      "loss": 0.8528,
+      "step": 9217
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4793020691720871e-05,
+      "loss": 0.821,
+      "step": 9218
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4791908467849214e-05,
+      "loss": 0.9422,
+      "step": 9219
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.479079616702551e-05,
+      "loss": 0.8576,
+      "step": 9220
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4789683789267623e-05,
+      "loss": 0.8614,
+      "step": 9221
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4788571334593418e-05,
+      "loss": 0.9724,
+      "step": 9222
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4787458803020755e-05,
+      "loss": 0.916,
+      "step": 9223
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4786346194567505e-05,
+      "loss": 0.8032,
+      "step": 9224
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4785233509251531e-05,
+      "loss": 0.7062,
+      "step": 9225
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4784120747090704e-05,
+      "loss": 0.8594,
+      "step": 9226
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.478300790810289e-05,
+      "loss": 0.7764,
+      "step": 9227
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4781894992305967e-05,
+      "loss": 0.8481,
+      "step": 9228
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4780781999717799e-05,
+      "loss": 0.7233,
+      "step": 9229
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4779668930356265e-05,
+      "loss": 0.8735,
+      "step": 9230
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4778555784239237e-05,
+      "loss": 0.7752,
+      "step": 9231
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.477744256138459e-05,
+      "loss": 0.7694,
+      "step": 9232
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4776329261810204e-05,
+      "loss": 0.8234,
+      "step": 9233
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.477521588553395e-05,
+      "loss": 0.7449,
+      "step": 9234
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4774102432573718e-05,
+      "loss": 0.8502,
+      "step": 9235
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.477298890294738e-05,
+      "loss": 0.811,
+      "step": 9236
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4771875296672824e-05,
+      "loss": 0.9295,
+      "step": 9237
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4770761613767925e-05,
+      "loss": 0.8263,
+      "step": 9238
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4769647854250578e-05,
+      "loss": 0.8916,
+      "step": 9239
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.476853401813866e-05,
+      "loss": 0.9248,
+      "step": 9240
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4767420105450064e-05,
+      "loss": 0.7619,
+      "step": 9241
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4766306116202674e-05,
+      "loss": 0.9616,
+      "step": 9242
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4765192050414378e-05,
+      "loss": 0.7363,
+      "step": 9243
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4764077908103071e-05,
+      "loss": 0.7371,
+      "step": 9244
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.476296368928664e-05,
+      "loss": 0.8648,
+      "step": 9245
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4761849393982983e-05,
+      "loss": 1.014,
+      "step": 9246
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4760735022209992e-05,
+      "loss": 0.9377,
+      "step": 9247
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4759620573985561e-05,
+      "loss": 0.777,
+      "step": 9248
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4758506049327586e-05,
+      "loss": 0.759,
+      "step": 9249
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4757391448253968e-05,
+      "loss": 0.82,
+      "step": 9250
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4756276770782607e-05,
+      "loss": 0.8663,
+      "step": 9251
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4755162016931397e-05,
+      "loss": 0.8939,
+      "step": 9252
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4754047186718245e-05,
+      "loss": 0.8327,
+      "step": 9253
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4752932280161055e-05,
+      "loss": 0.7347,
+      "step": 9254
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4751817297277725e-05,
+      "loss": 0.8403,
+      "step": 9255
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4750702238086164e-05,
+      "loss": 0.8137,
+      "step": 9256
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4749587102604279e-05,
+      "loss": 0.8166,
+      "step": 9257
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4748471890849979e-05,
+      "loss": 0.8066,
+      "step": 9258
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4747356602841167e-05,
+      "loss": 0.9018,
+      "step": 9259
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4746241238595757e-05,
+      "loss": 0.8535,
+      "step": 9260
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4745125798131664e-05,
+      "loss": 0.8479,
+      "step": 9261
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4744010281466792e-05,
+      "loss": 0.783,
+      "step": 9262
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4742894688619061e-05,
+      "loss": 0.8989,
+      "step": 9263
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4741779019606386e-05,
+      "loss": 0.7949,
+      "step": 9264
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4740663274446677e-05,
+      "loss": 0.8195,
+      "step": 9265
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.473954745315786e-05,
+      "loss": 0.9729,
+      "step": 9266
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.473843155575785e-05,
+      "loss": 0.8223,
+      "step": 9267
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4737315582264566e-05,
+      "loss": 0.8237,
+      "step": 9268
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4736199532695929e-05,
+      "loss": 0.7618,
+      "step": 9269
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4735083407069866e-05,
+      "loss": 0.7321,
+      "step": 9270
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4733967205404293e-05,
+      "loss": 0.7512,
+      "step": 9271
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4732850927717139e-05,
+      "loss": 0.9866,
+      "step": 9272
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4731734574026334e-05,
+      "loss": 0.8646,
+      "step": 9273
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4730618144349795e-05,
+      "loss": 0.6967,
+      "step": 9274
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4729501638705461e-05,
+      "loss": 0.7506,
+      "step": 9275
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4728385057111254e-05,
+      "loss": 0.8073,
+      "step": 9276
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4727268399585109e-05,
+      "loss": 0.7748,
+      "step": 9277
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4726151666144954e-05,
+      "loss": 0.7963,
+      "step": 9278
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.472503485680873e-05,
+      "loss": 0.8988,
+      "step": 9279
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4723917971594368e-05,
+      "loss": 0.8678,
+      "step": 9280
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4722801010519799e-05,
+      "loss": 0.8371,
+      "step": 9281
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4721683973602965e-05,
+      "loss": 0.9096,
+      "step": 9282
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4720566860861802e-05,
+      "loss": 0.9057,
+      "step": 9283
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4719449672314252e-05,
+      "loss": 0.8478,
+      "step": 9284
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4718332407978252e-05,
+      "loss": 0.9561,
+      "step": 9285
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.471721506787175e-05,
+      "loss": 0.8086,
+      "step": 9286
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4716097652012683e-05,
+      "loss": 0.8664,
+      "step": 9287
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4714980160418995e-05,
+      "loss": 0.7622,
+      "step": 9288
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4713862593108637e-05,
+      "loss": 0.9044,
+      "step": 9289
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4712744950099551e-05,
+      "loss": 0.7721,
+      "step": 9290
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4711627231409686e-05,
+      "loss": 0.8372,
+      "step": 9291
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4710509437056992e-05,
+      "loss": 0.8478,
+      "step": 9292
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.470939156705942e-05,
+      "loss": 0.9073,
+      "step": 9293
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.470827362143492e-05,
+      "loss": 0.7734,
+      "step": 9294
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4707155600201447e-05,
+      "loss": 0.7272,
+      "step": 9295
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4706037503376948e-05,
+      "loss": 1.0082,
+      "step": 9296
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.470491933097939e-05,
+      "loss": 0.8133,
+      "step": 9297
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.470380108302672e-05,
+      "loss": 0.7158,
+      "step": 9298
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.47026827595369e-05,
+      "loss": 0.8327,
+      "step": 9299
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.470156436052789e-05,
+      "loss": 0.9531,
+      "step": 9300
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4700445886017643e-05,
+      "loss": 0.8186,
+      "step": 9301
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4699327336024127e-05,
+      "loss": 0.9705,
+      "step": 9302
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4698208710565302e-05,
+      "loss": 0.775,
+      "step": 9303
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4697090009659131e-05,
+      "loss": 0.8345,
+      "step": 9304
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4695971233323584e-05,
+      "loss": 0.9031,
+      "step": 9305
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4694852381576622e-05,
+      "loss": 0.7692,
+      "step": 9306
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4693733454436214e-05,
+      "loss": 0.7969,
+      "step": 9307
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4692614451920328e-05,
+      "loss": 0.8181,
+      "step": 9308
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4691495374046933e-05,
+      "loss": 0.9791,
+      "step": 9309
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4690376220834002e-05,
+      "loss": 0.8786,
+      "step": 9310
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4689256992299506e-05,
+      "loss": 0.9211,
+      "step": 9311
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4688137688461419e-05,
+      "loss": 0.8527,
+      "step": 9312
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4687018309337716e-05,
+      "loss": 0.9288,
+      "step": 9313
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.468589885494637e-05,
+      "loss": 0.8022,
+      "step": 9314
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4684779325305361e-05,
+      "loss": 0.8805,
+      "step": 9315
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4683659720432663e-05,
+      "loss": 0.8061,
+      "step": 9316
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4682540040346265e-05,
+      "loss": 0.8753,
+      "step": 9317
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.468142028506414e-05,
+      "loss": 0.9696,
+      "step": 9318
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4680300454604267e-05,
+      "loss": 0.816,
+      "step": 9319
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4679180548984639e-05,
+      "loss": 0.7894,
+      "step": 9320
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4678060568223232e-05,
+      "loss": 0.8924,
+      "step": 9321
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4676940512338035e-05,
+      "loss": 0.6452,
+      "step": 9322
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4675820381347032e-05,
+      "loss": 0.8655,
+      "step": 9323
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4674700175268215e-05,
+      "loss": 0.7224,
+      "step": 9324
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4673579894119572e-05,
+      "loss": 0.7438,
+      "step": 9325
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.467245953791909e-05,
+      "loss": 0.7798,
+      "step": 9326
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4671339106684762e-05,
+      "loss": 0.8853,
+      "step": 9327
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4670218600434583e-05,
+      "loss": 0.9637,
+      "step": 9328
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4669098019186546e-05,
+      "loss": 0.8584,
+      "step": 9329
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4667977362958644e-05,
+      "loss": 0.9402,
+      "step": 9330
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4666856631768875e-05,
+      "loss": 0.912,
+      "step": 9331
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4665735825635236e-05,
+      "loss": 0.7693,
+      "step": 9332
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4664614944575728e-05,
+      "loss": 0.8757,
+      "step": 9333
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4663493988608348e-05,
+      "loss": 0.8111,
+      "step": 9334
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.46623729577511e-05,
+      "loss": 0.8475,
+      "step": 9335
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.466125185202198e-05,
+      "loss": 0.9615,
+      "step": 9336
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4660130671439002e-05,
+      "loss": 0.8223,
+      "step": 9337
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.465900941602016e-05,
+      "loss": 0.7701,
+      "step": 9338
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4657888085783468e-05,
+      "loss": 0.8277,
+      "step": 9339
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4656766680746927e-05,
+      "loss": 0.9098,
+      "step": 9340
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.465564520092855e-05,
+      "loss": 0.9223,
+      "step": 9341
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4654523646346345e-05,
+      "loss": 0.8084,
+      "step": 9342
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4653402017018323e-05,
+      "loss": 0.8279,
+      "step": 9343
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4652280312962496e-05,
+      "loss": 0.7781,
+      "step": 9344
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4651158534196876e-05,
+      "loss": 0.8614,
+      "step": 9345
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4650036680739479e-05,
+      "loss": 0.7807,
+      "step": 9346
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.464891475260832e-05,
+      "loss": 0.8764,
+      "step": 9347
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4647792749821414e-05,
+      "loss": 0.8806,
+      "step": 9348
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4646670672396781e-05,
+      "loss": 0.7745,
+      "step": 9349
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.464554852035244e-05,
+      "loss": 0.9621,
+      "step": 9350
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.464442629370641e-05,
+      "loss": 0.7936,
+      "step": 9351
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4643303992476715e-05,
+      "loss": 0.8363,
+      "step": 9352
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4642181616681375e-05,
+      "loss": 0.8881,
+      "step": 9353
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4641059166338413e-05,
+      "loss": 0.7341,
+      "step": 9354
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4639936641465861e-05,
+      "loss": 0.9602,
+      "step": 9355
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.463881404208174e-05,
+      "loss": 0.8073,
+      "step": 9356
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4637691368204076e-05,
+      "loss": 0.7193,
+      "step": 9357
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4636568619850902e-05,
+      "loss": 0.8515,
+      "step": 9358
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4635445797040245e-05,
+      "loss": 0.7957,
+      "step": 9359
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4634322899790137e-05,
+      "loss": 0.9106,
+      "step": 9360
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4633199928118608e-05,
+      "loss": 0.8206,
+      "step": 9361
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4632076882043698e-05,
+      "loss": 0.7811,
+      "step": 9362
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4630953761583433e-05,
+      "loss": 0.8477,
+      "step": 9363
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4629830566755858e-05,
+      "loss": 0.8123,
+      "step": 9364
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4628707297579002e-05,
+      "loss": 0.8389,
+      "step": 9365
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4627583954070909e-05,
+      "loss": 0.8408,
+      "step": 9366
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4626460536249619e-05,
+      "loss": 0.7916,
+      "step": 9367
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4625337044133163e-05,
+      "loss": 0.7305,
+      "step": 9368
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4624213477739595e-05,
+      "loss": 0.8436,
+      "step": 9369
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4623089837086953e-05,
+      "loss": 0.9285,
+      "step": 9370
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4621966122193282e-05,
+      "loss": 0.8492,
+      "step": 9371
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4620842333076622e-05,
+      "loss": 0.8415,
+      "step": 9372
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4619718469755029e-05,
+      "loss": 0.8491,
+      "step": 9373
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4618594532246544e-05,
+      "loss": 0.9254,
+      "step": 9374
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4617470520569219e-05,
+      "loss": 0.9201,
+      "step": 9375
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4616346434741104e-05,
+      "loss": 0.8474,
+      "step": 9376
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4615222274780248e-05,
+      "loss": 0.7779,
+      "step": 9377
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4614098040704708e-05,
+      "loss": 0.749,
+      "step": 9378
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4612973732532531e-05,
+      "loss": 0.8919,
+      "step": 9379
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4611849350281782e-05,
+      "loss": 0.8275,
+      "step": 9380
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4610724893970507e-05,
+      "loss": 0.9144,
+      "step": 9381
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.460960036361677e-05,
+      "loss": 0.8371,
+      "step": 9382
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4608475759238625e-05,
+      "loss": 0.7574,
+      "step": 9383
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4607351080854138e-05,
+      "loss": 0.8992,
+      "step": 9384
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4606226328481361e-05,
+      "loss": 0.8575,
+      "step": 9385
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4605101502138363e-05,
+      "loss": 0.9244,
+      "step": 9386
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4603976601843208e-05,
+      "loss": 0.8382,
+      "step": 9387
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4602851627613954e-05,
+      "loss": 0.7659,
+      "step": 9388
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4601726579468674e-05,
+      "loss": 0.8208,
+      "step": 9389
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.460060145742543e-05,
+      "loss": 0.8454,
+      "step": 9390
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4599476261502292e-05,
+      "loss": 0.8926,
+      "step": 9391
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4598350991717329e-05,
+      "loss": 1.005,
+      "step": 9392
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.459722564808861e-05,
+      "loss": 0.9562,
+      "step": 9393
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4596100230634208e-05,
+      "loss": 0.7753,
+      "step": 9394
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4594974739372196e-05,
+      "loss": 0.7151,
+      "step": 9395
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4593849174320648e-05,
+      "loss": 0.7579,
+      "step": 9396
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4592723535497637e-05,
+      "loss": 0.8594,
+      "step": 9397
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4591597822921242e-05,
+      "loss": 0.9427,
+      "step": 9398
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.459047203660954e-05,
+      "loss": 0.7218,
+      "step": 9399
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4589346176580608e-05,
+      "loss": 0.7633,
+      "step": 9400
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4588220242852527e-05,
+      "loss": 0.8378,
+      "step": 9401
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.458709423544338e-05,
+      "loss": 0.8543,
+      "step": 9402
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4585968154371246e-05,
+      "loss": 0.9941,
+      "step": 9403
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4584841999654212e-05,
+      "loss": 0.8696,
+      "step": 9404
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4583715771310358e-05,
+      "loss": 0.7511,
+      "step": 9405
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4582589469357773e-05,
+      "loss": 0.8962,
+      "step": 9406
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4581463093814545e-05,
+      "loss": 0.8987,
+      "step": 9407
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4580336644698758e-05,
+      "loss": 0.8671,
+      "step": 9408
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4579210122028506e-05,
+      "loss": 0.7702,
+      "step": 9409
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4578083525821876e-05,
+      "loss": 0.8593,
+      "step": 9410
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4576956856096965e-05,
+      "loss": 0.7894,
+      "step": 9411
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4575830112871855e-05,
+      "loss": 0.8415,
+      "step": 9412
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4574703296164654e-05,
+      "loss": 0.8833,
+      "step": 9413
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4573576405993449e-05,
+      "loss": 0.8053,
+      "step": 9414
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4572449442376337e-05,
+      "loss": 0.8079,
+      "step": 9415
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4571322405331416e-05,
+      "loss": 0.7354,
+      "step": 9416
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4570195294876785e-05,
+      "loss": 1.0178,
+      "step": 9417
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4569068111030546e-05,
+      "loss": 0.8305,
+      "step": 9418
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4567940853810797e-05,
+      "loss": 0.7563,
+      "step": 9419
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4566813523235643e-05,
+      "loss": 0.8005,
+      "step": 9420
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4565686119323187e-05,
+      "loss": 0.756,
+      "step": 9421
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4564558642091533e-05,
+      "loss": 0.7201,
+      "step": 9422
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4563431091558785e-05,
+      "loss": 0.8409,
+      "step": 9423
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4562303467743053e-05,
+      "loss": 0.7779,
+      "step": 9424
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4561175770662446e-05,
+      "loss": 0.8757,
+      "step": 9425
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4560048000335067e-05,
+      "loss": 0.8971,
+      "step": 9426
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4558920156779034e-05,
+      "loss": 0.8484,
+      "step": 9427
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4557792240012457e-05,
+      "loss": 0.908,
+      "step": 9428
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4556664250053447e-05,
+      "loss": 0.8096,
+      "step": 9429
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4555536186920115e-05,
+      "loss": 0.8319,
+      "step": 9430
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4554408050630589e-05,
+      "loss": 0.9015,
+      "step": 9431
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.455327984120297e-05,
+      "loss": 0.7215,
+      "step": 9432
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4552151558655383e-05,
+      "loss": 0.7066,
+      "step": 9433
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4551023203005947e-05,
+      "loss": 0.9521,
+      "step": 9434
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4549894774272781e-05,
+      "loss": 0.8962,
+      "step": 9435
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4548766272474008e-05,
+      "loss": 0.8472,
+      "step": 9436
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4547637697627747e-05,
+      "loss": 0.955,
+      "step": 9437
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4546509049752122e-05,
+      "loss": 0.9407,
+      "step": 9438
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4545380328865261e-05,
+      "loss": 0.7999,
+      "step": 9439
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4544251534985288e-05,
+      "loss": 0.9376,
+      "step": 9440
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4543122668130327e-05,
+      "loss": 0.8272,
+      "step": 9441
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4541993728318511e-05,
+      "loss": 0.7613,
+      "step": 9442
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4540864715567967e-05,
+      "loss": 0.6439,
+      "step": 9443
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4539735629896824e-05,
+      "loss": 0.7772,
+      "step": 9444
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4538606471323218e-05,
+      "loss": 0.7595,
+      "step": 9445
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4537477239865275e-05,
+      "loss": 0.917,
+      "step": 9446
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4536347935541138e-05,
+      "loss": 0.6997,
+      "step": 9447
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4535218558368934e-05,
+      "loss": 0.7845,
+      "step": 9448
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4534089108366805e-05,
+      "loss": 0.8201,
+      "step": 9449
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4532959585552885e-05,
+      "loss": 0.8412,
+      "step": 9450
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4531829989945315e-05,
+      "loss": 0.8024,
+      "step": 9451
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.453070032156223e-05,
+      "loss": 0.6905,
+      "step": 9452
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4529570580421782e-05,
+      "loss": 0.8507,
+      "step": 9453
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4528440766542104e-05,
+      "loss": 0.9141,
+      "step": 9454
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4527310879941339e-05,
+      "loss": 0.9362,
+      "step": 9455
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4526180920637637e-05,
+      "loss": 0.9093,
+      "step": 9456
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4525050888649139e-05,
+      "loss": 0.9625,
+      "step": 9457
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4523920783993997e-05,
+      "loss": 0.821,
+      "step": 9458
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4522790606690354e-05,
+      "loss": 0.7183,
+      "step": 9459
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4521660356756361e-05,
+      "loss": 1.0353,
+      "step": 9460
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4520530034210168e-05,
+      "loss": 0.9068,
+      "step": 9461
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4519399639069929e-05,
+      "loss": 0.7804,
+      "step": 9462
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4518269171353796e-05,
+      "loss": 0.8667,
+      "step": 9463
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.451713863107992e-05,
+      "loss": 0.7997,
+      "step": 9464
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4516008018266457e-05,
+      "loss": 0.7815,
+      "step": 9465
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4514877332931564e-05,
+      "loss": 0.7693,
+      "step": 9466
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4513746575093401e-05,
+      "loss": 0.8075,
+      "step": 9467
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4512615744770122e-05,
+      "loss": 0.8443,
+      "step": 9468
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.451148484197989e-05,
+      "loss": 0.9247,
+      "step": 9469
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4510353866740863e-05,
+      "loss": 0.8149,
+      "step": 9470
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4509222819071207e-05,
+      "loss": 0.8834,
+      "step": 9471
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4508091698989079e-05,
+      "loss": 0.7716,
+      "step": 9472
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4506960506512652e-05,
+      "loss": 0.8774,
+      "step": 9473
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4505829241660086e-05,
+      "loss": 0.8784,
+      "step": 9474
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4504697904449545e-05,
+      "loss": 0.7237,
+      "step": 9475
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4503566494899204e-05,
+      "loss": 0.8653,
+      "step": 9476
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4502435013027225e-05,
+      "loss": 0.9136,
+      "step": 9477
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4501303458851786e-05,
+      "loss": 0.7998,
+      "step": 9478
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4500171832391052e-05,
+      "loss": 0.8911,
+      "step": 9479
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4499040133663194e-05,
+      "loss": 0.791,
+      "step": 9480
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4497908362686393e-05,
+      "loss": 0.8249,
+      "step": 9481
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.449677651947882e-05,
+      "loss": 0.828,
+      "step": 9482
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4495644604058647e-05,
+      "loss": 0.8475,
+      "step": 9483
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4494512616444061e-05,
+      "loss": 0.8195,
+      "step": 9484
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4493380556653232e-05,
+      "loss": 0.8226,
+      "step": 9485
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4492248424704339e-05,
+      "loss": 0.8642,
+      "step": 9486
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4491116220615569e-05,
+      "loss": 0.7814,
+      "step": 9487
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4489983944405096e-05,
+      "loss": 0.7701,
+      "step": 9488
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4488851596091109e-05,
+      "loss": 0.8228,
+      "step": 9489
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.448771917569179e-05,
+      "loss": 0.9148,
+      "step": 9490
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4486586683225325e-05,
+      "loss": 0.8848,
+      "step": 9491
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4485454118709904e-05,
+      "loss": 0.925,
+      "step": 9492
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4484321482163704e-05,
+      "loss": 0.8695,
+      "step": 9493
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4483188773604924e-05,
+      "loss": 0.8598,
+      "step": 9494
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4482055993051748e-05,
+      "loss": 0.8118,
+      "step": 9495
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.448092314052237e-05,
+      "loss": 0.8844,
+      "step": 9496
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.447979021603498e-05,
+      "loss": 0.7981,
+      "step": 9497
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4478657219607772e-05,
+      "loss": 0.7981,
+      "step": 9498
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4477524151258941e-05,
+      "loss": 0.8194,
+      "step": 9499
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4476391011006688e-05,
+      "loss": 0.7608,
+      "step": 9500
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.44752577988692e-05,
+      "loss": 0.8391,
+      "step": 9501
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.447412451486468e-05,
+      "loss": 0.8855,
+      "step": 9502
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4472991159011329e-05,
+      "loss": 0.8232,
+      "step": 9503
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.447185773132734e-05,
+      "loss": 0.7153,
+      "step": 9504
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4470724231830926e-05,
+      "loss": 0.8705,
+      "step": 9505
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4469590660540277e-05,
+      "loss": 0.915,
+      "step": 9506
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4468457017473606e-05,
+      "loss": 0.7541,
+      "step": 9507
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4467323302649115e-05,
+      "loss": 0.7194,
+      "step": 9508
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.446618951608501e-05,
+      "loss": 0.7417,
+      "step": 9509
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4465055657799493e-05,
+      "loss": 0.8701,
+      "step": 9510
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4463921727810783e-05,
+      "loss": 0.8318,
+      "step": 9511
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4462787726137083e-05,
+      "loss": 0.7955,
+      "step": 9512
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.44616536527966e-05,
+      "loss": 1.036,
+      "step": 9513
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4460519507807553e-05,
+      "loss": 0.868,
+      "step": 9514
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.445938529118815e-05,
+      "loss": 0.8522,
+      "step": 9515
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4458251002956612e-05,
+      "loss": 0.895,
+      "step": 9516
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4457116643131144e-05,
+      "loss": 0.8054,
+      "step": 9517
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.445598221172997e-05,
+      "loss": 0.9092,
+      "step": 9518
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4454847708771305e-05,
+      "loss": 0.8943,
+      "step": 9519
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4453713134273368e-05,
+      "loss": 0.7835,
+      "step": 9520
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4452578488254381e-05,
+      "loss": 0.8641,
+      "step": 9521
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4451443770732561e-05,
+      "loss": 0.8228,
+      "step": 9522
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4450308981726134e-05,
+      "loss": 0.8818,
+      "step": 9523
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4449174121253315e-05,
+      "loss": 0.774,
+      "step": 9524
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4448039189332341e-05,
+      "loss": 0.9601,
+      "step": 9525
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4446904185981432e-05,
+      "loss": 0.896,
+      "step": 9526
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.444576911121881e-05,
+      "loss": 0.7912,
+      "step": 9527
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4444633965062708e-05,
+      "loss": 0.854,
+      "step": 9528
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4443498747531358e-05,
+      "loss": 0.8822,
+      "step": 9529
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.444236345864298e-05,
+      "loss": 0.978,
+      "step": 9530
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4441228098415816e-05,
+      "loss": 0.965,
+      "step": 9531
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4440092666868091e-05,
+      "loss": 0.8382,
+      "step": 9532
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4438957164018041e-05,
+      "loss": 0.8924,
+      "step": 9533
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4437821589883905e-05,
+      "loss": 0.9308,
+      "step": 9534
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4436685944483912e-05,
+      "loss": 0.7771,
+      "step": 9535
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4435550227836304e-05,
+      "loss": 0.9299,
+      "step": 9536
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4434414439959315e-05,
+      "loss": 0.8731,
+      "step": 9537
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4433278580871188e-05,
+      "loss": 0.75,
+      "step": 9538
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4432142650590162e-05,
+      "loss": 0.8734,
+      "step": 9539
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.443100664913448e-05,
+      "loss": 0.8678,
+      "step": 9540
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4429870576522384e-05,
+      "loss": 0.7947,
+      "step": 9541
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4428734432772115e-05,
+      "loss": 0.8849,
+      "step": 9542
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4427598217901921e-05,
+      "loss": 0.8158,
+      "step": 9543
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.442646193193005e-05,
+      "loss": 0.8733,
+      "step": 9544
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4425325574874745e-05,
+      "loss": 0.8077,
+      "step": 9545
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4424189146754257e-05,
+      "loss": 0.8181,
+      "step": 9546
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4423052647586835e-05,
+      "loss": 0.8187,
+      "step": 9547
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.442191607739073e-05,
+      "loss": 0.9684,
+      "step": 9548
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4420779436184194e-05,
+      "loss": 0.7649,
+      "step": 9549
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.441964272398548e-05,
+      "loss": 0.8517,
+      "step": 9550
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4418505940812842e-05,
+      "loss": 0.9014,
+      "step": 9551
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4417369086684536e-05,
+      "loss": 0.7577,
+      "step": 9552
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4416232161618815e-05,
+      "loss": 0.7206,
+      "step": 9553
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4415095165633942e-05,
+      "loss": 0.8196,
+      "step": 9554
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4413958098748171e-05,
+      "loss": 0.7859,
+      "step": 9555
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4412820960979765e-05,
+      "loss": 0.8371,
+      "step": 9556
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4411683752346983e-05,
+      "loss": 0.8166,
+      "step": 9557
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.441054647286809e-05,
+      "loss": 0.8412,
+      "step": 9558
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4409409122561347e-05,
+      "loss": 0.9396,
+      "step": 9559
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4408271701445019e-05,
+      "loss": 0.8754,
+      "step": 9560
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.440713420953737e-05,
+      "loss": 0.811,
+      "step": 9561
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4405996646856668e-05,
+      "loss": 0.8042,
+      "step": 9562
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4404859013421182e-05,
+      "loss": 0.8723,
+      "step": 9563
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4403721309249178e-05,
+      "loss": 0.8021,
+      "step": 9564
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4402583534358929e-05,
+      "loss": 0.7777,
+      "step": 9565
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4401445688768704e-05,
+      "loss": 0.7833,
+      "step": 9566
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.440030777249678e-05,
+      "loss": 0.8574,
+      "step": 9567
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4399169785561426e-05,
+      "loss": 0.8324,
+      "step": 9568
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4398031727980915e-05,
+      "loss": 0.9188,
+      "step": 9569
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4396893599773529e-05,
+      "loss": 0.7924,
+      "step": 9570
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.439575540095754e-05,
+      "loss": 0.7822,
+      "step": 9571
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4394617131551228e-05,
+      "loss": 0.8212,
+      "step": 9572
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.439347879157287e-05,
+      "loss": 0.7339,
+      "step": 9573
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.439234038104075e-05,
+      "loss": 0.8675,
+      "step": 9574
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4391201899973143e-05,
+      "loss": 0.8656,
+      "step": 9575
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4390063348388341e-05,
+      "loss": 0.9271,
+      "step": 9576
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.438892472630462e-05,
+      "loss": 0.9664,
+      "step": 9577
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.438778603374027e-05,
+      "loss": 0.9298,
+      "step": 9578
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4386647270713572e-05,
+      "loss": 0.8712,
+      "step": 9579
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4385508437242817e-05,
+      "loss": 0.7602,
+      "step": 9580
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4384369533346292e-05,
+      "loss": 1.0049,
+      "step": 9581
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4383230559042282e-05,
+      "loss": 0.7833,
+      "step": 9582
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4382091514349088e-05,
+      "loss": 0.8653,
+      "step": 9583
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4380952399284991e-05,
+      "loss": 1.0009,
+      "step": 9584
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.437981321386829e-05,
+      "loss": 0.7855,
+      "step": 9585
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4378673958117276e-05,
+      "loss": 0.8946,
+      "step": 9586
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4377534632050245e-05,
+      "loss": 0.8459,
+      "step": 9587
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4376395235685494e-05,
+      "loss": 0.8351,
+      "step": 9588
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4375255769041321e-05,
+      "loss": 0.8403,
+      "step": 9589
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4374116232136022e-05,
+      "loss": 0.9179,
+      "step": 9590
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4372976624987894e-05,
+      "loss": 0.7829,
+      "step": 9591
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4371836947615245e-05,
+      "loss": 0.919,
+      "step": 9592
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.437069720003637e-05,
+      "loss": 0.7945,
+      "step": 9593
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4369557382269577e-05,
+      "loss": 0.7403,
+      "step": 9594
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4368417494333167e-05,
+      "loss": 0.8051,
+      "step": 9595
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4367277536245445e-05,
+      "loss": 0.8513,
+      "step": 9596
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4366137508024718e-05,
+      "loss": 0.9538,
+      "step": 9597
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4364997409689297e-05,
+      "loss": 0.912,
+      "step": 9598
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4363857241257484e-05,
+      "loss": 0.7044,
+      "step": 9599
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4362717002747592e-05,
+      "loss": 0.8512,
+      "step": 9600
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4361576694177935e-05,
+      "loss": 0.868,
+      "step": 9601
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.436043631556682e-05,
+      "loss": 0.7145,
+      "step": 9602
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4359295866932561e-05,
+      "loss": 0.8211,
+      "step": 9603
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.435815534829347e-05,
+      "loss": 0.7948,
+      "step": 9604
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4357014759667868e-05,
+      "loss": 0.8357,
+      "step": 9605
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.435587410107407e-05,
+      "loss": 0.8453,
+      "step": 9606
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4354733372530391e-05,
+      "loss": 0.7847,
+      "step": 9607
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4353592574055152e-05,
+      "loss": 0.9335,
+      "step": 9608
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4352451705666668e-05,
+      "loss": 0.8008,
+      "step": 9609
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4351310767383268e-05,
+      "loss": 0.8967,
+      "step": 9610
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4350169759223266e-05,
+      "loss": 0.7894,
+      "step": 9611
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.434902868120499e-05,
+      "loss": 0.9453,
+      "step": 9612
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4347887533346765e-05,
+      "loss": 0.7789,
+      "step": 9613
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4346746315666913e-05,
+      "loss": 0.8261,
+      "step": 9614
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4345605028183762e-05,
+      "loss": 0.7757,
+      "step": 9615
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4344463670915638e-05,
+      "loss": 0.7663,
+      "step": 9616
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4343322243880873e-05,
+      "loss": 0.7868,
+      "step": 9617
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4342180747097796e-05,
+      "loss": 0.8345,
+      "step": 9618
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4341039180584736e-05,
+      "loss": 0.7245,
+      "step": 9619
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4339897544360026e-05,
+      "loss": 0.7357,
+      "step": 9620
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4338755838442003e-05,
+      "loss": 0.8192,
+      "step": 9621
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4337614062848992e-05,
+      "loss": 0.8415,
+      "step": 9622
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4336472217599338e-05,
+      "loss": 0.7186,
+      "step": 9623
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4335330302711373e-05,
+      "loss": 0.6309,
+      "step": 9624
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4334188318203437e-05,
+      "loss": 0.7963,
+      "step": 9625
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4333046264093866e-05,
+      "loss": 0.9123,
+      "step": 9626
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4331904140401003e-05,
+      "loss": 0.9238,
+      "step": 9627
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4330761947143189e-05,
+      "loss": 0.8333,
+      "step": 9628
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4329619684338763e-05,
+      "loss": 0.7201,
+      "step": 9629
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.432847735200607e-05,
+      "loss": 0.7152,
+      "step": 9630
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4327334950163454e-05,
+      "loss": 0.7782,
+      "step": 9631
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4326192478829263e-05,
+      "loss": 0.7644,
+      "step": 9632
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.432504993802184e-05,
+      "loss": 0.7808,
+      "step": 9633
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4323907327759537e-05,
+      "loss": 0.8877,
+      "step": 9634
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.43227646480607e-05,
+      "loss": 0.753,
+      "step": 9635
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4321621898943678e-05,
+      "loss": 0.9205,
+      "step": 9636
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4320479080426824e-05,
+      "loss": 0.885,
+      "step": 9637
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.431933619252849e-05,
+      "loss": 0.9479,
+      "step": 9638
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.431819323526703e-05,
+      "loss": 0.8464,
+      "step": 9639
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4317050208660797e-05,
+      "loss": 0.8432,
+      "step": 9640
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4315907112728148e-05,
+      "loss": 0.8323,
+      "step": 9641
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4314763947487436e-05,
+      "loss": 0.9171,
+      "step": 9642
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4313620712957023e-05,
+      "loss": 0.8231,
+      "step": 9643
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4312477409155268e-05,
+      "loss": 0.8411,
+      "step": 9644
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4311334036100528e-05,
+      "loss": 0.6984,
+      "step": 9645
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4310190593811167e-05,
+      "loss": 0.6891,
+      "step": 9646
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4309047082305548e-05,
+      "loss": 0.7848,
+      "step": 9647
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.430790350160203e-05,
+      "loss": 0.7944,
+      "step": 9648
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4306759851718979e-05,
+      "loss": 0.7952,
+      "step": 9649
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4305616132674763e-05,
+      "loss": 0.7582,
+      "step": 9650
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4304472344487746e-05,
+      "loss": 0.8238,
+      "step": 9651
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4303328487176298e-05,
+      "loss": 0.7232,
+      "step": 9652
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4302184560758786e-05,
+      "loss": 0.8426,
+      "step": 9653
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4301040565253582e-05,
+      "loss": 0.8005,
+      "step": 9654
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4299896500679055e-05,
+      "loss": 0.7435,
+      "step": 9655
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4298752367053577e-05,
+      "loss": 0.854,
+      "step": 9656
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4297608164395524e-05,
+      "loss": 0.8248,
+      "step": 9657
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.429646389272327e-05,
+      "loss": 0.8924,
+      "step": 9658
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4295319552055191e-05,
+      "loss": 0.5996,
+      "step": 9659
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4294175142409662e-05,
+      "loss": 0.7306,
+      "step": 9660
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4293030663805056e-05,
+      "loss": 0.7544,
+      "step": 9661
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.429188611625976e-05,
+      "loss": 0.727,
+      "step": 9662
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4290741499792154e-05,
+      "loss": 0.8304,
+      "step": 9663
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4289596814420612e-05,
+      "loss": 0.9107,
+      "step": 9664
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4288452060163525e-05,
+      "loss": 0.8572,
+      "step": 9665
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4287307237039267e-05,
+      "loss": 0.7873,
+      "step": 9666
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4286162345066228e-05,
+      "loss": 0.8378,
+      "step": 9667
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4285017384262794e-05,
+      "loss": 0.7597,
+      "step": 9668
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4283872354647348e-05,
+      "loss": 0.8123,
+      "step": 9669
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4282727256238282e-05,
+      "loss": 0.677,
+      "step": 9670
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4281582089053983e-05,
+      "loss": 0.8663,
+      "step": 9671
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.428043685311284e-05,
+      "loss": 0.9274,
+      "step": 9672
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4279291548433243e-05,
+      "loss": 0.8162,
+      "step": 9673
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4278146175033589e-05,
+      "loss": 0.9346,
+      "step": 9674
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4277000732932267e-05,
+      "loss": 0.74,
+      "step": 9675
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4275855222147672e-05,
+      "loss": 0.826,
+      "step": 9676
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.42747096426982e-05,
+      "loss": 0.9231,
+      "step": 9677
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.427356399460225e-05,
+      "loss": 0.8628,
+      "step": 9678
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4272418277878217e-05,
+      "loss": 0.8057,
+      "step": 9679
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4271272492544497e-05,
+      "loss": 0.6932,
+      "step": 9680
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4270126638619495e-05,
+      "loss": 0.737,
+      "step": 9681
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.426898071612161e-05,
+      "loss": 0.7954,
+      "step": 9682
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4267834725069245e-05,
+      "loss": 0.7794,
+      "step": 9683
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4266688665480799e-05,
+      "loss": 0.9781,
+      "step": 9684
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4265542537374684e-05,
+      "loss": 0.837,
+      "step": 9685
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4264396340769297e-05,
+      "loss": 0.8428,
+      "step": 9686
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.426325007568305e-05,
+      "loss": 0.8459,
+      "step": 9687
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4262103742134347e-05,
+      "loss": 0.7335,
+      "step": 9688
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4260957340141601e-05,
+      "loss": 0.8636,
+      "step": 9689
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4259810869723221e-05,
+      "loss": 0.8383,
+      "step": 9690
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4258664330897611e-05,
+      "loss": 0.7464,
+      "step": 9691
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4257517723683192e-05,
+      "loss": 0.8913,
+      "step": 9692
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4256371048098371e-05,
+      "loss": 0.9389,
+      "step": 9693
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4255224304161569e-05,
+      "loss": 0.8432,
+      "step": 9694
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4254077491891194e-05,
+      "loss": 0.9666,
+      "step": 9695
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4252930611305664e-05,
+      "loss": 0.7494,
+      "step": 9696
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.42517836624234e-05,
+      "loss": 0.8925,
+      "step": 9697
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4250636645262813e-05,
+      "loss": 0.8406,
+      "step": 9698
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4249489559842333e-05,
+      "loss": 0.8639,
+      "step": 9699
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4248342406180373e-05,
+      "loss": 0.8932,
+      "step": 9700
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.424719518429536e-05,
+      "loss": 0.8504,
+      "step": 9701
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4246047894205714e-05,
+      "loss": 1.0037,
+      "step": 9702
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4244900535929858e-05,
+      "loss": 0.8865,
+      "step": 9703
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4243753109486217e-05,
+      "loss": 0.8089,
+      "step": 9704
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4242605614893224e-05,
+      "loss": 0.8781,
+      "step": 9705
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4241458052169295e-05,
+      "loss": 0.7242,
+      "step": 9706
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.424031042133287e-05,
+      "loss": 0.7413,
+      "step": 9707
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4239162722402371e-05,
+      "loss": 0.9686,
+      "step": 9708
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4238014955396228e-05,
+      "loss": 0.7785,
+      "step": 9709
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4236867120332877e-05,
+      "loss": 0.8211,
+      "step": 9710
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4235719217230751e-05,
+      "loss": 0.829,
+      "step": 9711
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4234571246108279e-05,
+      "loss": 0.7803,
+      "step": 9712
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4233423206983901e-05,
+      "loss": 0.9076,
+      "step": 9713
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.423227509987605e-05,
+      "loss": 0.8234,
+      "step": 9714
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4231126924803167e-05,
+      "loss": 0.7783,
+      "step": 9715
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4229978681783684e-05,
+      "loss": 0.9336,
+      "step": 9716
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4228830370836046e-05,
+      "loss": 0.7295,
+      "step": 9717
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.422768199197869e-05,
+      "loss": 0.8694,
+      "step": 9718
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4226533545230058e-05,
+      "loss": 0.8993,
+      "step": 9719
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4225385030608594e-05,
+      "loss": 1.0178,
+      "step": 9720
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4224236448132742e-05,
+      "loss": 0.8414,
+      "step": 9721
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4223087797820945e-05,
+      "loss": 0.7922,
+      "step": 9722
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4221939079691652e-05,
+      "loss": 0.8344,
+      "step": 9723
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4220790293763307e-05,
+      "loss": 0.9729,
+      "step": 9724
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4219641440054357e-05,
+      "loss": 0.904,
+      "step": 9725
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4218492518583253e-05,
+      "loss": 0.6749,
+      "step": 9726
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4217343529368446e-05,
+      "loss": 0.8371,
+      "step": 9727
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.421619447242839e-05,
+      "loss": 0.8397,
+      "step": 9728
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4215045347781527e-05,
+      "loss": 0.7953,
+      "step": 9729
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4213896155446323e-05,
+      "loss": 0.9853,
+      "step": 9730
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4212746895441224e-05,
+      "loss": 0.7459,
+      "step": 9731
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4211597567784692e-05,
+      "loss": 0.8319,
+      "step": 9732
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4210448172495176e-05,
+      "loss": 0.7979,
+      "step": 9733
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.420929870959114e-05,
+      "loss": 0.7597,
+      "step": 9734
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4208149179091044e-05,
+      "loss": 0.6982,
+      "step": 9735
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4206999581013343e-05,
+      "loss": 0.8428,
+      "step": 9736
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4205849915376501e-05,
+      "loss": 0.7091,
+      "step": 9737
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4204700182198979e-05,
+      "loss": 0.9054,
+      "step": 9738
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.420355038149924e-05,
+      "loss": 0.9311,
+      "step": 9739
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.420240051329575e-05,
+      "loss": 0.7619,
+      "step": 9740
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4201250577606975e-05,
+      "loss": 0.8954,
+      "step": 9741
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4200100574451378e-05,
+      "loss": 0.8968,
+      "step": 9742
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.419895050384743e-05,
+      "loss": 0.7154,
+      "step": 9743
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.41978003658136e-05,
+      "loss": 0.9052,
+      "step": 9744
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4196650160368356e-05,
+      "loss": 0.8603,
+      "step": 9745
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4195499887530167e-05,
+      "loss": 0.7879,
+      "step": 9746
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.419434954731751e-05,
+      "loss": 0.7823,
+      "step": 9747
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.419319913974885e-05,
+      "loss": 0.8177,
+      "step": 9748
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4192048664842671e-05,
+      "loss": 0.8731,
+      "step": 9749
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4190898122617443e-05,
+      "loss": 0.8656,
+      "step": 9750
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4189747513091639e-05,
+      "loss": 0.794,
+      "step": 9751
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4188596836283744e-05,
+      "loss": 0.8762,
+      "step": 9752
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4187446092212232e-05,
+      "loss": 0.7006,
+      "step": 9753
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.418629528089558e-05,
+      "loss": 0.8928,
+      "step": 9754
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4185144402352274e-05,
+      "loss": 0.8196,
+      "step": 9755
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.418399345660079e-05,
+      "loss": 0.8841,
+      "step": 9756
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4182842443659617e-05,
+      "loss": 0.9008,
+      "step": 9757
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4181691363547234e-05,
+      "loss": 0.7252,
+      "step": 9758
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4180540216282128e-05,
+      "loss": 0.833,
+      "step": 9759
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4179389001882787e-05,
+      "loss": 0.899,
+      "step": 9760
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4178237720367693e-05,
+      "loss": 0.754,
+      "step": 9761
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4177086371755337e-05,
+      "loss": 0.8106,
+      "step": 9762
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.417593495606421e-05,
+      "loss": 0.8451,
+      "step": 9763
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4174783473312799e-05,
+      "loss": 0.8635,
+      "step": 9764
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4173631923519598e-05,
+      "loss": 0.6098,
+      "step": 9765
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4172480306703096e-05,
+      "loss": 0.7484,
+      "step": 9766
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4171328622881788e-05,
+      "loss": 0.8863,
+      "step": 9767
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4170176872074173e-05,
+      "loss": 0.725,
+      "step": 9768
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.416902505429874e-05,
+      "loss": 0.7144,
+      "step": 9769
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4167873169573988e-05,
+      "loss": 0.7854,
+      "step": 9770
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4166721217918418e-05,
+      "loss": 0.9114,
+      "step": 9771
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4165569199350526e-05,
+      "loss": 0.9087,
+      "step": 9772
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4164417113888814e-05,
+      "loss": 0.7455,
+      "step": 9773
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4163264961551777e-05,
+      "loss": 0.7052,
+      "step": 9774
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4162112742357926e-05,
+      "loss": 0.8281,
+      "step": 9775
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4160960456325757e-05,
+      "loss": 0.7844,
+      "step": 9776
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4159808103473778e-05,
+      "loss": 0.7767,
+      "step": 9777
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4158655683820492e-05,
+      "loss": 0.7531,
+      "step": 9778
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4157503197384407e-05,
+      "loss": 0.8723,
+      "step": 9779
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4156350644184032e-05,
+      "loss": 0.7549,
+      "step": 9780
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4155198024237876e-05,
+      "loss": 0.7461,
+      "step": 9781
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4154045337564442e-05,
+      "loss": 0.7699,
+      "step": 9782
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4152892584182247e-05,
+      "loss": 0.9707,
+      "step": 9783
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4151739764109803e-05,
+      "loss": 0.9402,
+      "step": 9784
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4150586877365615e-05,
+      "loss": 0.7593,
+      "step": 9785
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4149433923968207e-05,
+      "loss": 0.8094,
+      "step": 9786
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4148280903936089e-05,
+      "loss": 0.7656,
+      "step": 9787
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.414712781728778e-05,
+      "loss": 0.81,
+      "step": 9788
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4145974664041793e-05,
+      "loss": 0.9103,
+      "step": 9789
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4144821444216646e-05,
+      "loss": 0.7341,
+      "step": 9790
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4143668157830863e-05,
+      "loss": 0.7872,
+      "step": 9791
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4142514804902962e-05,
+      "loss": 0.92,
+      "step": 9792
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4141361385451462e-05,
+      "loss": 0.8794,
+      "step": 9793
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4140207899494888e-05,
+      "loss": 0.7738,
+      "step": 9794
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4139054347051764e-05,
+      "loss": 0.8526,
+      "step": 9795
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4137900728140615e-05,
+      "loss": 0.7358,
+      "step": 9796
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4136747042779963e-05,
+      "loss": 0.8289,
+      "step": 9797
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4135593290988338e-05,
+      "loss": 0.815,
+      "step": 9798
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4134439472784267e-05,
+      "loss": 0.896,
+      "step": 9799
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4133285588186278e-05,
+      "loss": 0.8706,
+      "step": 9800
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4132131637212903e-05,
+      "loss": 0.8435,
+      "step": 9801
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4130977619882673e-05,
+      "loss": 0.9158,
+      "step": 9802
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4129823536214115e-05,
+      "loss": 0.854,
+      "step": 9803
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4128669386225768e-05,
+      "loss": 0.8286,
+      "step": 9804
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4127515169936164e-05,
+      "loss": 0.9116,
+      "step": 9805
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.412636088736384e-05,
+      "loss": 0.8824,
+      "step": 9806
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4125206538527327e-05,
+      "loss": 0.9798,
+      "step": 9807
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4124052123445168e-05,
+      "loss": 1.0564,
+      "step": 9808
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4122897642135903e-05,
+      "loss": 0.8646,
+      "step": 9809
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4121743094618063e-05,
+      "loss": 0.8378,
+      "step": 9810
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4120588480910198e-05,
+      "loss": 0.8354,
+      "step": 9811
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4119433801030841e-05,
+      "loss": 0.7624,
+      "step": 9812
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4118279054998543e-05,
+      "loss": 0.8595,
+      "step": 9813
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4117124242831842e-05,
+      "loss": 0.8082,
+      "step": 9814
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4115969364549288e-05,
+      "loss": 0.7427,
+      "step": 9815
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4114814420169415e-05,
+      "loss": 0.9232,
+      "step": 9816
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4113659409710787e-05,
+      "loss": 0.8606,
+      "step": 9817
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4112504333191938e-05,
+      "loss": 0.7818,
+      "step": 9818
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4111349190631426e-05,
+      "loss": 0.9119,
+      "step": 9819
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.41101939820478e-05,
+      "loss": 0.9107,
+      "step": 9820
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4109038707459606e-05,
+      "loss": 0.9553,
+      "step": 9821
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.41078833668854e-05,
+      "loss": 0.7983,
+      "step": 9822
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4106727960343733e-05,
+      "loss": 0.7818,
+      "step": 9823
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4105572487853164e-05,
+      "loss": 0.8094,
+      "step": 9824
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.410441694943224e-05,
+      "loss": 0.7395,
+      "step": 9825
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4103261345099528e-05,
+      "loss": 0.9334,
+      "step": 9826
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4102105674873579e-05,
+      "loss": 0.8138,
+      "step": 9827
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4100949938772953e-05,
+      "loss": 0.8137,
+      "step": 9828
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.409979413681621e-05,
+      "loss": 0.7468,
+      "step": 9829
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.409863826902191e-05,
+      "loss": 0.8408,
+      "step": 9830
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4097482335408617e-05,
+      "loss": 0.8297,
+      "step": 9831
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4096326335994887e-05,
+      "loss": 0.6976,
+      "step": 9832
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4095170270799296e-05,
+      "loss": 0.8364,
+      "step": 9833
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4094014139840397e-05,
+      "loss": 0.9498,
+      "step": 9834
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4092857943136764e-05,
+      "loss": 0.932,
+      "step": 9835
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.409170168070696e-05,
+      "loss": 0.868,
+      "step": 9836
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4090545352569553e-05,
+      "loss": 0.7782,
+      "step": 9837
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4089388958743115e-05,
+      "loss": 0.8214,
+      "step": 9838
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4088232499246214e-05,
+      "loss": 0.9172,
+      "step": 9839
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4087075974097421e-05,
+      "loss": 0.8232,
+      "step": 9840
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4085919383315311e-05,
+      "loss": 0.9158,
+      "step": 9841
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4084762726918455e-05,
+      "loss": 0.8599,
+      "step": 9842
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4083606004925427e-05,
+      "loss": 0.9784,
+      "step": 9843
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4082449217354807e-05,
+      "loss": 0.7624,
+      "step": 9844
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4081292364225163e-05,
+      "loss": 0.9629,
+      "step": 9845
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4080135445555083e-05,
+      "loss": 0.756,
+      "step": 9846
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4078978461363136e-05,
+      "loss": 0.7376,
+      "step": 9847
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.407782141166791e-05,
+      "loss": 0.7913,
+      "step": 9848
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4076664296487978e-05,
+      "loss": 0.7477,
+      "step": 9849
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4075507115841929e-05,
+      "loss": 0.7941,
+      "step": 9850
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.407434986974834e-05,
+      "loss": 0.8111,
+      "step": 9851
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.40731925582258e-05,
+      "loss": 0.8283,
+      "step": 9852
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4072035181292888e-05,
+      "loss": 0.8283,
+      "step": 9853
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4070877738968196e-05,
+      "loss": 0.8173,
+      "step": 9854
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.406972023127031e-05,
+      "loss": 0.7535,
+      "step": 9855
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4068562658217815e-05,
+      "loss": 0.881,
+      "step": 9856
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4067405019829301e-05,
+      "loss": 0.9971,
+      "step": 9857
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.406624731612336e-05,
+      "loss": 0.8432,
+      "step": 9858
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4065089547118584e-05,
+      "loss": 0.8884,
+      "step": 9859
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4063931712833563e-05,
+      "loss": 0.7613,
+      "step": 9860
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.406277381328689e-05,
+      "loss": 0.819,
+      "step": 9861
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4061615848497161e-05,
+      "loss": 0.7346,
+      "step": 9862
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4060457818482971e-05,
+      "loss": 0.8331,
+      "step": 9863
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4059299723262916e-05,
+      "loss": 0.8166,
+      "step": 9864
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4058141562855595e-05,
+      "loss": 0.8635,
+      "step": 9865
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4056983337279603e-05,
+      "loss": 0.8323,
+      "step": 9866
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4055825046553544e-05,
+      "loss": 0.8013,
+      "step": 9867
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4054666690696017e-05,
+      "loss": 0.7243,
+      "step": 9868
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4053508269725626e-05,
+      "loss": 0.6904,
+      "step": 9869
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4052349783660968e-05,
+      "loss": 0.7865,
+      "step": 9870
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4051191232520653e-05,
+      "loss": 0.7815,
+      "step": 9871
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4050032616323282e-05,
+      "loss": 0.8251,
+      "step": 9872
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4048873935087462e-05,
+      "loss": 0.786,
+      "step": 9873
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4047715188831798e-05,
+      "loss": 0.8351,
+      "step": 9874
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4046556377574904e-05,
+      "loss": 0.9001,
+      "step": 9875
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4045397501335382e-05,
+      "loss": 0.8732,
+      "step": 9876
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4044238560131849e-05,
+      "loss": 0.7508,
+      "step": 9877
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4043079553982912e-05,
+      "loss": 0.7618,
+      "step": 9878
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4041920482907181e-05,
+      "loss": 0.8689,
+      "step": 9879
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4040761346923275e-05,
+      "loss": 0.8153,
+      "step": 9880
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4039602146049802e-05,
+      "loss": 0.8741,
+      "step": 9881
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4038442880305381e-05,
+      "loss": 0.8406,
+      "step": 9882
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4037283549708628e-05,
+      "loss": 0.9044,
+      "step": 9883
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4036124154278164e-05,
+      "loss": 0.987,
+      "step": 9884
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4034964694032598e-05,
+      "loss": 1.0751,
+      "step": 9885
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4033805168990557e-05,
+      "loss": 0.6863,
+      "step": 9886
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4032645579170661e-05,
+      "loss": 0.803,
+      "step": 9887
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4031485924591528e-05,
+      "loss": 0.7179,
+      "step": 9888
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4030326205271785e-05,
+      "loss": 0.8786,
+      "step": 9889
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4029166421230052e-05,
+      "loss": 0.8331,
+      "step": 9890
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4028006572484956e-05,
+      "loss": 0.9256,
+      "step": 9891
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.402684665905512e-05,
+      "loss": 0.8628,
+      "step": 9892
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4025686680959174e-05,
+      "loss": 0.815,
+      "step": 9893
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4024526638215743e-05,
+      "loss": 0.8496,
+      "step": 9894
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4023366530843458e-05,
+      "loss": 0.8302,
+      "step": 9895
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4022206358860949e-05,
+      "loss": 0.8328,
+      "step": 9896
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4021046122286845e-05,
+      "loss": 0.7855,
+      "step": 9897
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4019885821139782e-05,
+      "loss": 0.9201,
+      "step": 9898
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4018725455438386e-05,
+      "loss": 0.9629,
+      "step": 9899
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4017565025201296e-05,
+      "loss": 0.8498,
+      "step": 9900
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4016404530447146e-05,
+      "loss": 0.9464,
+      "step": 9901
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4015243971194572e-05,
+      "loss": 0.939,
+      "step": 9902
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.401408334746221e-05,
+      "loss": 0.7929,
+      "step": 9903
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4012922659268702e-05,
+      "loss": 0.8624,
+      "step": 9904
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4011761906632684e-05,
+      "loss": 0.8086,
+      "step": 9905
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4010601089572794e-05,
+      "loss": 0.8754,
+      "step": 9906
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4009440208107678e-05,
+      "loss": 0.9309,
+      "step": 9907
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.400827926225598e-05,
+      "loss": 0.8605,
+      "step": 9908
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4007118252036335e-05,
+      "loss": 0.9051,
+      "step": 9909
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4005957177467394e-05,
+      "loss": 0.7472,
+      "step": 9910
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4004796038567801e-05,
+      "loss": 0.8666,
+      "step": 9911
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4003634835356199e-05,
+      "loss": 0.7027,
+      "step": 9912
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.400247356785124e-05,
+      "loss": 0.8705,
+      "step": 9913
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.400131223607157e-05,
+      "loss": 0.7841,
+      "step": 9914
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4000150840035842e-05,
+      "loss": 0.8376,
+      "step": 9915
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.39989893797627e-05,
+      "loss": 0.9059,
+      "step": 9916
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3997827855270804e-05,
+      "loss": 0.8464,
+      "step": 9917
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.39966662665788e-05,
+      "loss": 0.9078,
+      "step": 9918
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3995504613705344e-05,
+      "loss": 0.9182,
+      "step": 9919
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.399434289666909e-05,
+      "loss": 0.9041,
+      "step": 9920
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3993181115488693e-05,
+      "loss": 0.9864,
+      "step": 9921
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3992019270182815e-05,
+      "loss": 0.7221,
+      "step": 9922
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3990857360770108e-05,
+      "loss": 0.7473,
+      "step": 9923
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3989695387269232e-05,
+      "loss": 0.9269,
+      "step": 9924
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.398853334969885e-05,
+      "loss": 0.8177,
+      "step": 9925
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3987371248077617e-05,
+      "loss": 0.7769,
+      "step": 9926
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3986209082424198e-05,
+      "loss": 0.9468,
+      "step": 9927
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.398504685275726e-05,
+      "loss": 0.8551,
+      "step": 9928
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.398388455909546e-05,
+      "loss": 0.7816,
+      "step": 9929
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3982722201457467e-05,
+      "loss": 0.7764,
+      "step": 9930
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3981559779861947e-05,
+      "loss": 0.8943,
+      "step": 9931
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3980397294327563e-05,
+      "loss": 0.7792,
+      "step": 9932
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.397923474487299e-05,
+      "loss": 0.7441,
+      "step": 9933
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3978072131516889e-05,
+      "loss": 0.7762,
+      "step": 9934
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3976909454277937e-05,
+      "loss": 0.6784,
+      "step": 9935
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.39757467131748e-05,
+      "loss": 0.9229,
+      "step": 9936
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3974583908226157e-05,
+      "loss": 0.9179,
+      "step": 9937
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3973421039450675e-05,
+      "loss": 0.8155,
+      "step": 9938
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.397225810686703e-05,
+      "loss": 0.778,
+      "step": 9939
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3971095110493895e-05,
+      "loss": 0.7948,
+      "step": 9940
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.396993205034995e-05,
+      "loss": 0.8333,
+      "step": 9941
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3968768926453873e-05,
+      "loss": 0.9079,
+      "step": 9942
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3967605738824338e-05,
+      "loss": 0.5937,
+      "step": 9943
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3966442487480028e-05,
+      "loss": 0.8897,
+      "step": 9944
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.396527917243962e-05,
+      "loss": 0.8195,
+      "step": 9945
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3964115793721798e-05,
+      "loss": 0.7673,
+      "step": 9946
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3962952351345247e-05,
+      "loss": 0.9031,
+      "step": 9947
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.396178884532864e-05,
+      "loss": 0.8379,
+      "step": 9948
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3960625275690676e-05,
+      "loss": 0.7375,
+      "step": 9949
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3959461642450027e-05,
+      "loss": 0.8121,
+      "step": 9950
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.395829794562539e-05,
+      "loss": 0.843,
+      "step": 9951
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3957134185235445e-05,
+      "loss": 0.8735,
+      "step": 9952
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3955970361298884e-05,
+      "loss": 0.9782,
+      "step": 9953
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3954806473834397e-05,
+      "loss": 0.776,
+      "step": 9954
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3953642522860675e-05,
+      "loss": 0.8763,
+      "step": 9955
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3952478508396406e-05,
+      "loss": 0.7119,
+      "step": 9956
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3951314430460285e-05,
+      "loss": 0.9846,
+      "step": 9957
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3950150289071007e-05,
+      "loss": 0.8613,
+      "step": 9958
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3948986084247264e-05,
+      "loss": 0.8668,
+      "step": 9959
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3947821816007755e-05,
+      "loss": 0.864,
+      "step": 9960
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3946657484371172e-05,
+      "loss": 0.7179,
+      "step": 9961
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3945493089356218e-05,
+      "loss": 0.726,
+      "step": 9962
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3944328630981583e-05,
+      "loss": 0.8906,
+      "step": 9963
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3943164109265978e-05,
+      "loss": 0.8579,
+      "step": 9964
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3941999524228098e-05,
+      "loss": 0.9377,
+      "step": 9965
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3940834875886644e-05,
+      "loss": 0.7621,
+      "step": 9966
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3939670164260321e-05,
+      "loss": 0.8295,
+      "step": 9967
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.393850538936783e-05,
+      "loss": 0.8321,
+      "step": 9968
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.393734055122788e-05,
+      "loss": 0.8518,
+      "step": 9969
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3936175649859173e-05,
+      "loss": 0.7328,
+      "step": 9970
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3935010685280417e-05,
+      "loss": 0.768,
+      "step": 9971
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3933845657510321e-05,
+      "loss": 0.9403,
+      "step": 9972
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3932680566567596e-05,
+      "loss": 0.8984,
+      "step": 9973
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3931515412470943e-05,
+      "loss": 0.863,
+      "step": 9974
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3930350195239085e-05,
+      "loss": 0.779,
+      "step": 9975
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3929184914890725e-05,
+      "loss": 0.8319,
+      "step": 9976
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3928019571444577e-05,
+      "loss": 0.9261,
+      "step": 9977
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.392685416491936e-05,
+      "loss": 0.8726,
+      "step": 9978
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3925688695333783e-05,
+      "loss": 0.8546,
+      "step": 9979
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3924523162706567e-05,
+      "loss": 0.9005,
+      "step": 9980
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3923357567056424e-05,
+      "loss": 0.8212,
+      "step": 9981
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3922191908402079e-05,
+      "loss": 0.9132,
+      "step": 9982
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.392102618676224e-05,
+      "loss": 0.925,
+      "step": 9983
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.391986040215564e-05,
+      "loss": 0.8159,
+      "step": 9984
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3918694554600992e-05,
+      "loss": 0.8728,
+      "step": 9985
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.391752864411702e-05,
+      "loss": 0.6538,
+      "step": 9986
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3916362670722447e-05,
+      "loss": 0.9743,
+      "step": 9987
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3915196634435995e-05,
+      "loss": 0.7966,
+      "step": 9988
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3914030535276394e-05,
+      "loss": 0.7977,
+      "step": 9989
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3912864373262365e-05,
+      "loss": 0.8349,
+      "step": 9990
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3911698148412638e-05,
+      "loss": 0.7315,
+      "step": 9991
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.391053186074594e-05,
+      "loss": 0.9567,
+      "step": 9992
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3909365510281001e-05,
+      "loss": 0.7186,
+      "step": 9993
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3908199097036549e-05,
+      "loss": 0.6559,
+      "step": 9994
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.390703262103132e-05,
+      "loss": 0.7947,
+      "step": 9995
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.390586608228404e-05,
+      "loss": 0.7639,
+      "step": 9996
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3904699480813446e-05,
+      "loss": 0.7693,
+      "step": 9997
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3903532816638272e-05,
+      "loss": 0.9493,
+      "step": 9998
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.390236608977725e-05,
+      "loss": 0.6944,
+      "step": 9999
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3901199300249121e-05,
+      "loss": 0.7057,
+      "step": 10000
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.390003244807262e-05,
+      "loss": 0.7137,
+      "step": 10001
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3898865533266483e-05,
+      "loss": 0.7958,
+      "step": 10002
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3897698555849453e-05,
+      "loss": 0.7843,
+      "step": 10003
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3896531515840268e-05,
+      "loss": 0.7951,
+      "step": 10004
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3895364413257669e-05,
+      "loss": 0.865,
+      "step": 10005
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3894197248120396e-05,
+      "loss": 0.6582,
+      "step": 10006
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.38930300204472e-05,
+      "loss": 0.968,
+      "step": 10007
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3891862730256815e-05,
+      "loss": 1.0109,
+      "step": 10008
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3890695377567996e-05,
+      "loss": 0.6623,
+      "step": 10009
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.388952796239948e-05,
+      "loss": 0.6753,
+      "step": 10010
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3888360484770023e-05,
+      "loss": 0.8721,
+      "step": 10011
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3887192944698366e-05,
+      "loss": 0.8512,
+      "step": 10012
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3886025342203263e-05,
+      "loss": 0.8605,
+      "step": 10013
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3884857677303463e-05,
+      "loss": 0.8252,
+      "step": 10014
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3883689950017716e-05,
+      "loss": 0.83,
+      "step": 10015
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3882522160364773e-05,
+      "loss": 0.8031,
+      "step": 10016
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3881354308363391e-05,
+      "loss": 0.9035,
+      "step": 10017
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3880186394032322e-05,
+      "loss": 0.8808,
+      "step": 10018
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3879018417390323e-05,
+      "loss": 0.7388,
+      "step": 10019
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3877850378456145e-05,
+      "loss": 0.8244,
+      "step": 10020
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3876682277248552e-05,
+      "loss": 0.7475,
+      "step": 10021
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3875514113786301e-05,
+      "loss": 0.8652,
+      "step": 10022
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3874345888088145e-05,
+      "loss": 0.756,
+      "step": 10023
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3873177600172854e-05,
+      "loss": 0.8285,
+      "step": 10024
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3872009250059181e-05,
+      "loss": 0.8278,
+      "step": 10025
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.387084083776589e-05,
+      "loss": 0.8089,
+      "step": 10026
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.386967236331175e-05,
+      "loss": 0.9161,
+      "step": 10027
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3868503826715518e-05,
+      "loss": 0.7393,
+      "step": 10028
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3867335227995961e-05,
+      "loss": 0.8449,
+      "step": 10029
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3866166567171848e-05,
+      "loss": 0.695,
+      "step": 10030
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3864997844261945e-05,
+      "loss": 0.7744,
+      "step": 10031
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3863829059285019e-05,
+      "loss": 0.7873,
+      "step": 10032
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.386266021225984e-05,
+      "loss": 0.7881,
+      "step": 10033
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3861491303205179e-05,
+      "loss": 0.8249,
+      "step": 10034
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3860322332139805e-05,
+      "loss": 0.7493,
+      "step": 10035
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3859153299082493e-05,
+      "loss": 0.846,
+      "step": 10036
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3857984204052014e-05,
+      "loss": 0.8378,
+      "step": 10037
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3856815047067143e-05,
+      "loss": 0.8902,
+      "step": 10038
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3855645828146653e-05,
+      "loss": 0.9053,
+      "step": 10039
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3854476547309326e-05,
+      "loss": 0.8882,
+      "step": 10040
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3853307204573931e-05,
+      "loss": 0.8055,
+      "step": 10041
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3852137799959256e-05,
+      "loss": 0.8084,
+      "step": 10042
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3850968333484072e-05,
+      "loss": 0.7355,
+      "step": 10043
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3849798805167163e-05,
+      "loss": 0.8537,
+      "step": 10044
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3848629215027309e-05,
+      "loss": 0.6702,
+      "step": 10045
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3847459563083292e-05,
+      "loss": 0.7899,
+      "step": 10046
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3846289849353897e-05,
+      "loss": 0.7225,
+      "step": 10047
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3845120073857906e-05,
+      "loss": 0.7915,
+      "step": 10048
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3843950236614103e-05,
+      "loss": 0.7588,
+      "step": 10049
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3842780337641278e-05,
+      "loss": 0.7147,
+      "step": 10050
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3841610376958217e-05,
+      "loss": 0.8379,
+      "step": 10051
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3840440354583704e-05,
+      "loss": 0.9215,
+      "step": 10052
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3839270270536534e-05,
+      "loss": 0.7512,
+      "step": 10053
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3838100124835494e-05,
+      "loss": 0.8156,
+      "step": 10054
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3836929917499374e-05,
+      "loss": 0.8557,
+      "step": 10055
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.383575964854697e-05,
+      "loss": 0.8566,
+      "step": 10056
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.383458931799707e-05,
+      "loss": 0.7768,
+      "step": 10057
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.383341892586847e-05,
+      "loss": 0.7927,
+      "step": 10058
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3832248472179967e-05,
+      "loss": 0.8545,
+      "step": 10059
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3831077956950355e-05,
+      "loss": 0.8048,
+      "step": 10060
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3829907380198433e-05,
+      "loss": 0.7422,
+      "step": 10061
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3828736741942998e-05,
+      "loss": 0.6672,
+      "step": 10062
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3827566042202849e-05,
+      "loss": 0.7987,
+      "step": 10063
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3826395280996783e-05,
+      "loss": 0.8606,
+      "step": 10064
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3825224458343604e-05,
+      "loss": 0.8501,
+      "step": 10065
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3824053574262113e-05,
+      "loss": 0.8912,
+      "step": 10066
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3822882628771115e-05,
+      "loss": 0.9342,
+      "step": 10067
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3821711621889412e-05,
+      "loss": 0.7969,
+      "step": 10068
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3820540553635808e-05,
+      "loss": 0.906,
+      "step": 10069
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.381936942402911e-05,
+      "loss": 0.8237,
+      "step": 10070
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3818198233088128e-05,
+      "loss": 0.8227,
+      "step": 10071
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3817026980831662e-05,
+      "loss": 0.6911,
+      "step": 10072
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.381585566727853e-05,
+      "loss": 0.7626,
+      "step": 10073
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3814684292447537e-05,
+      "loss": 0.9029,
+      "step": 10074
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3813512856357491e-05,
+      "loss": 0.8498,
+      "step": 10075
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3812341359027212e-05,
+      "loss": 0.9212,
+      "step": 10076
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3811169800475503e-05,
+      "loss": 0.7816,
+      "step": 10077
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3809998180721187e-05,
+      "loss": 0.9831,
+      "step": 10078
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.380882649978307e-05,
+      "loss": 0.7639,
+      "step": 10079
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3807654757679976e-05,
+      "loss": 0.7925,
+      "step": 10080
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3806482954430716e-05,
+      "loss": 0.9106,
+      "step": 10081
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.380531109005411e-05,
+      "loss": 0.812,
+      "step": 10082
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3804139164568976e-05,
+      "loss": 0.8524,
+      "step": 10083
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3802967177994133e-05,
+      "loss": 0.7049,
+      "step": 10084
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3801795130348405e-05,
+      "loss": 0.771,
+      "step": 10085
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.380062302165061e-05,
+      "loss": 0.7913,
+      "step": 10086
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.379945085191957e-05,
+      "loss": 0.741,
+      "step": 10087
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3798278621174113e-05,
+      "loss": 0.653,
+      "step": 10088
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3797106329433062e-05,
+      "loss": 0.7029,
+      "step": 10089
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3795933976715236e-05,
+      "loss": 0.9343,
+      "step": 10090
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3794761563039472e-05,
+      "loss": 0.8859,
+      "step": 10091
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3793589088424591e-05,
+      "loss": 0.7866,
+      "step": 10092
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3792416552889419e-05,
+      "loss": 0.7727,
+      "step": 10093
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3791243956452794e-05,
+      "loss": 0.6297,
+      "step": 10094
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3790071299133539e-05,
+      "loss": 0.7901,
+      "step": 10095
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.378889858095049e-05,
+      "loss": 0.7112,
+      "step": 10096
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3787725801922477e-05,
+      "loss": 0.9159,
+      "step": 10097
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3786552962068334e-05,
+      "loss": 0.8241,
+      "step": 10098
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3785380061406897e-05,
+      "loss": 0.8784,
+      "step": 10099
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3784207099956994e-05,
+      "loss": 0.8867,
+      "step": 10100
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3783034077737472e-05,
+      "loss": 0.8455,
+      "step": 10101
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3781860994767162e-05,
+      "loss": 0.9273,
+      "step": 10102
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3780687851064901e-05,
+      "loss": 0.8183,
+      "step": 10103
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3779514646649534e-05,
+      "loss": 0.7933,
+      "step": 10104
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3778341381539896e-05,
+      "loss": 0.8129,
+      "step": 10105
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.377716805575483e-05,
+      "loss": 0.8839,
+      "step": 10106
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.377599466931318e-05,
+      "loss": 0.8712,
+      "step": 10107
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3774821222233784e-05,
+      "loss": 0.8665,
+      "step": 10108
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3773647714535491e-05,
+      "loss": 0.8399,
+      "step": 10109
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3772474146237145e-05,
+      "loss": 0.7324,
+      "step": 10110
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.377130051735759e-05,
+      "loss": 0.7475,
+      "step": 10111
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3770126827915678e-05,
+      "loss": 0.8942,
+      "step": 10112
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3768953077930248e-05,
+      "loss": 0.8726,
+      "step": 10113
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3767779267420158e-05,
+      "loss": 0.6634,
+      "step": 10114
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3766605396404252e-05,
+      "loss": 0.9165,
+      "step": 10115
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3765431464901384e-05,
+      "loss": 0.8641,
+      "step": 10116
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3764257472930404e-05,
+      "loss": 0.9132,
+      "step": 10117
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3763083420510168e-05,
+      "loss": 0.8675,
+      "step": 10118
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3761909307659525e-05,
+      "loss": 0.8211,
+      "step": 10119
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3760735134397335e-05,
+      "loss": 0.7609,
+      "step": 10120
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3759560900742451e-05,
+      "loss": 0.841,
+      "step": 10121
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3758386606713727e-05,
+      "loss": 0.9451,
+      "step": 10122
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3757212252330028e-05,
+      "loss": 0.945,
+      "step": 10123
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3756037837610205e-05,
+      "loss": 0.8166,
+      "step": 10124
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3754863362573124e-05,
+      "loss": 0.9453,
+      "step": 10125
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3753688827237639e-05,
+      "loss": 0.8045,
+      "step": 10126
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3752514231622617e-05,
+      "loss": 0.8742,
+      "step": 10127
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3751339575746915e-05,
+      "loss": 0.8508,
+      "step": 10128
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3750164859629407e-05,
+      "loss": 0.8216,
+      "step": 10129
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3748990083288944e-05,
+      "loss": 0.818,
+      "step": 10130
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3747815246744403e-05,
+      "loss": 0.9325,
+      "step": 10131
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3746640350014643e-05,
+      "loss": 0.841,
+      "step": 10132
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3745465393118533e-05,
+      "loss": 0.9476,
+      "step": 10133
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3744290376074945e-05,
+      "loss": 0.928,
+      "step": 10134
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3743115298902743e-05,
+      "loss": 0.8614,
+      "step": 10135
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3741940161620799e-05,
+      "loss": 0.7816,
+      "step": 10136
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3740764964247986e-05,
+      "loss": 0.8115,
+      "step": 10137
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3739589706803176e-05,
+      "loss": 0.8931,
+      "step": 10138
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3738414389305242e-05,
+      "loss": 0.7738,
+      "step": 10139
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3737239011773054e-05,
+      "loss": 0.7651,
+      "step": 10140
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3736063574225496e-05,
+      "loss": 0.8571,
+      "step": 10141
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3734888076681432e-05,
+      "loss": 0.7638,
+      "step": 10142
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.373371251915975e-05,
+      "loss": 0.9321,
+      "step": 10143
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3732536901679321e-05,
+      "loss": 0.8566,
+      "step": 10144
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3731361224259027e-05,
+      "loss": 0.9538,
+      "step": 10145
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.373018548691775e-05,
+      "loss": 0.7545,
+      "step": 10146
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3729009689674366e-05,
+      "loss": 0.8229,
+      "step": 10147
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3727833832547758e-05,
+      "loss": 0.9017,
+      "step": 10148
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3726657915556814e-05,
+      "loss": 0.668,
+      "step": 10149
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3725481938720409e-05,
+      "loss": 0.8967,
+      "step": 10150
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3724305902057436e-05,
+      "loss": 0.857,
+      "step": 10151
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3723129805586775e-05,
+      "loss": 0.8256,
+      "step": 10152
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3721953649327316e-05,
+      "loss": 0.754,
+      "step": 10153
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3720777433297942e-05,
+      "loss": 0.9086,
+      "step": 10154
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3719601157517548e-05,
+      "loss": 0.845,
+      "step": 10155
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3718424822005019e-05,
+      "loss": 0.8264,
+      "step": 10156
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3717248426779249e-05,
+      "loss": 0.9408,
+      "step": 10157
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3716071971859123e-05,
+      "loss": 0.8558,
+      "step": 10158
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.371489545726354e-05,
+      "loss": 0.9196,
+      "step": 10159
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3713718883011393e-05,
+      "loss": 0.8213,
+      "step": 10160
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3712542249121573e-05,
+      "loss": 0.8658,
+      "step": 10161
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3711365555612974e-05,
+      "loss": 0.8632,
+      "step": 10162
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3710188802504498e-05,
+      "loss": 0.7779,
+      "step": 10163
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3709011989815035e-05,
+      "loss": 0.719,
+      "step": 10164
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3707835117563493e-05,
+      "loss": 0.7893,
+      "step": 10165
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.370665818576876e-05,
+      "loss": 0.727,
+      "step": 10166
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3705481194449743e-05,
+      "loss": 0.7193,
+      "step": 10167
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.370430414362534e-05,
+      "loss": 0.8889,
+      "step": 10168
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3703127033314458e-05,
+      "loss": 0.8684,
+      "step": 10169
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3701949863535994e-05,
+      "loss": 0.8136,
+      "step": 10170
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3700772634308852e-05,
+      "loss": 0.8628,
+      "step": 10171
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3699595345651941e-05,
+      "loss": 0.7994,
+      "step": 10172
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3698417997584164e-05,
+      "loss": 0.7879,
+      "step": 10173
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.369724059012443e-05,
+      "loss": 0.7361,
+      "step": 10174
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.369606312329164e-05,
+      "loss": 0.7288,
+      "step": 10175
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3694885597104715e-05,
+      "loss": 0.7614,
+      "step": 10176
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3693708011582551e-05,
+      "loss": 0.924,
+      "step": 10177
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3692530366744068e-05,
+      "loss": 0.8758,
+      "step": 10178
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3691352662608175e-05,
+      "loss": 0.863,
+      "step": 10179
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.369017489919378e-05,
+      "loss": 0.8273,
+      "step": 10180
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3688997076519803e-05,
+      "loss": 0.9648,
+      "step": 10181
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3687819194605154e-05,
+      "loss": 0.8202,
+      "step": 10182
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3686641253468754e-05,
+      "loss": 0.8059,
+      "step": 10183
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.368546325312951e-05,
+      "loss": 0.8072,
+      "step": 10184
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3684285193606346e-05,
+      "loss": 0.8542,
+      "step": 10185
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3683107074918179e-05,
+      "loss": 0.7925,
+      "step": 10186
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3681928897083928e-05,
+      "loss": 0.8417,
+      "step": 10187
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3680750660122511e-05,
+      "loss": 0.8935,
+      "step": 10188
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3679572364052852e-05,
+      "loss": 0.8388,
+      "step": 10189
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3678394008893871e-05,
+      "loss": 0.7547,
+      "step": 10190
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3677215594664493e-05,
+      "loss": 0.7895,
+      "step": 10191
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3676037121383638e-05,
+      "loss": 0.7472,
+      "step": 10192
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3674858589070234e-05,
+      "loss": 0.9083,
+      "step": 10193
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3673679997743207e-05,
+      "loss": 0.7579,
+      "step": 10194
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3672501347421481e-05,
+      "loss": 0.8615,
+      "step": 10195
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3671322638123988e-05,
+      "loss": 0.8329,
+      "step": 10196
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3670143869869649e-05,
+      "loss": 0.7881,
+      "step": 10197
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3668965042677403e-05,
+      "loss": 0.7744,
+      "step": 10198
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3667786156566175e-05,
+      "loss": 0.7553,
+      "step": 10199
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3666607211554894e-05,
+      "loss": 0.8391,
+      "step": 10200
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3665428207662498e-05,
+      "loss": 0.8255,
+      "step": 10201
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.366424914490792e-05,
+      "loss": 0.8934,
+      "step": 10202
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.366307002331009e-05,
+      "loss": 0.8863,
+      "step": 10203
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3661890842887944e-05,
+      "loss": 0.8791,
+      "step": 10204
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3660711603660422e-05,
+      "loss": 0.8159,
+      "step": 10205
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.365953230564646e-05,
+      "loss": 0.7277,
+      "step": 10206
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3658352948864993e-05,
+      "loss": 0.8111,
+      "step": 10207
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3657173533334962e-05,
+      "loss": 0.8411,
+      "step": 10208
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3655994059075306e-05,
+      "loss": 0.737,
+      "step": 10209
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3654814526104967e-05,
+      "loss": 0.718,
+      "step": 10210
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3653634934442885e-05,
+      "loss": 0.8783,
+      "step": 10211
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3652455284108009e-05,
+      "loss": 0.7025,
+      "step": 10212
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3651275575119272e-05,
+      "loss": 0.7891,
+      "step": 10213
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.365009580749563e-05,
+      "loss": 0.7047,
+      "step": 10214
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.364891598125602e-05,
+      "loss": 0.7717,
+      "step": 10215
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3647736096419393e-05,
+      "loss": 0.7571,
+      "step": 10216
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3646556153004693e-05,
+      "loss": 0.8102,
+      "step": 10217
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3645376151030871e-05,
+      "loss": 0.7186,
+      "step": 10218
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.364419609051688e-05,
+      "loss": 0.7659,
+      "step": 10219
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3643015971481661e-05,
+      "loss": 0.9129,
+      "step": 10220
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3641835793944174e-05,
+      "loss": 0.8495,
+      "step": 10221
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3640655557923365e-05,
+      "loss": 0.7354,
+      "step": 10222
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3639475263438194e-05,
+      "loss": 0.9471,
+      "step": 10223
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3638294910507606e-05,
+      "loss": 0.962,
+      "step": 10224
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3637114499150563e-05,
+      "loss": 0.9363,
+      "step": 10225
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3635934029386015e-05,
+      "loss": 0.8437,
+      "step": 10226
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3634753501232929e-05,
+      "loss": 0.9329,
+      "step": 10227
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3633572914710254e-05,
+      "loss": 0.9405,
+      "step": 10228
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.363239226983695e-05,
+      "loss": 0.892,
+      "step": 10229
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3631211566631976e-05,
+      "loss": 0.6556,
+      "step": 10230
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3630030805114297e-05,
+      "loss": 0.7378,
+      "step": 10231
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3628849985302873e-05,
+      "loss": 0.7738,
+      "step": 10232
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3627669107216663e-05,
+      "loss": 0.882,
+      "step": 10233
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3626488170874634e-05,
+      "loss": 0.9689,
+      "step": 10234
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.362530717629575e-05,
+      "loss": 0.8561,
+      "step": 10235
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3624126123498976e-05,
+      "loss": 0.7787,
+      "step": 10236
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3622945012503275e-05,
+      "loss": 0.9359,
+      "step": 10237
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3621763843327618e-05,
+      "loss": 0.8174,
+      "step": 10238
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.362058261599097e-05,
+      "loss": 0.7597,
+      "step": 10239
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3619401330512307e-05,
+      "loss": 0.9191,
+      "step": 10240
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3618219986910592e-05,
+      "loss": 0.8481,
+      "step": 10241
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3617038585204796e-05,
+      "loss": 0.9339,
+      "step": 10242
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3615857125413894e-05,
+      "loss": 0.7525,
+      "step": 10243
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3614675607556857e-05,
+      "loss": 0.8379,
+      "step": 10244
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3613494031652659e-05,
+      "loss": 0.7396,
+      "step": 10245
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3612312397720275e-05,
+      "loss": 0.947,
+      "step": 10246
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3611130705778682e-05,
+      "loss": 0.805,
+      "step": 10247
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3609948955846855e-05,
+      "loss": 0.8214,
+      "step": 10248
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.360876714794377e-05,
+      "loss": 0.8935,
+      "step": 10249
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3607585282088405e-05,
+      "loss": 0.799,
+      "step": 10250
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3606403358299742e-05,
+      "loss": 0.9071,
+      "step": 10251
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.360522137659676e-05,
+      "loss": 0.8251,
+      "step": 10252
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.360403933699844e-05,
+      "loss": 0.822,
+      "step": 10253
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3602857239523766e-05,
+      "loss": 0.7575,
+      "step": 10254
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.360167508419172e-05,
+      "loss": 0.9184,
+      "step": 10255
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3600492871021282e-05,
+      "loss": 0.8829,
+      "step": 10256
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3599310600031443e-05,
+      "loss": 0.7404,
+      "step": 10257
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3598128271241184e-05,
+      "loss": 0.8277,
+      "step": 10258
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3596945884669498e-05,
+      "loss": 0.86,
+      "step": 10259
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3595763440335361e-05,
+      "loss": 0.8502,
+      "step": 10260
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3594580938257776e-05,
+      "loss": 0.9147,
+      "step": 10261
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.359339837845572e-05,
+      "loss": 0.8324,
+      "step": 10262
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.359221576094819e-05,
+      "loss": 0.8936,
+      "step": 10263
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3591033085754177e-05,
+      "loss": 0.8641,
+      "step": 10264
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3589850352892676e-05,
+      "loss": 0.7976,
+      "step": 10265
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.358866756238267e-05,
+      "loss": 0.8471,
+      "step": 10266
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3587484714243165e-05,
+      "loss": 0.8705,
+      "step": 10267
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.358630180849315e-05,
+      "loss": 0.8088,
+      "step": 10268
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.358511884515162e-05,
+      "loss": 0.8261,
+      "step": 10269
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3583935824237576e-05,
+      "loss": 0.718,
+      "step": 10270
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.358275274577001e-05,
+      "loss": 0.8622,
+      "step": 10271
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3581569609767927e-05,
+      "loss": 0.8522,
+      "step": 10272
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3580386416250321e-05,
+      "loss": 0.7477,
+      "step": 10273
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3579203165236201e-05,
+      "loss": 0.7535,
+      "step": 10274
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.357801985674456e-05,
+      "loss": 0.772,
+      "step": 10275
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3576836490794404e-05,
+      "loss": 0.7232,
+      "step": 10276
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3575653067404736e-05,
+      "loss": 0.8521,
+      "step": 10277
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3574469586594558e-05,
+      "loss": 0.8814,
+      "step": 10278
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3573286048382884e-05,
+      "loss": 0.8905,
+      "step": 10279
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.357210245278871e-05,
+      "loss": 0.6788,
+      "step": 10280
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3570918799831044e-05,
+      "loss": 0.8631,
+      "step": 10281
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.35697350895289e-05,
+      "loss": 0.7065,
+      "step": 10282
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3568551321901282e-05,
+      "loss": 0.7385,
+      "step": 10283
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3567367496967201e-05,
+      "loss": 0.7897,
+      "step": 10284
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.356618361474567e-05,
+      "loss": 0.7983,
+      "step": 10285
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.35649996752557e-05,
+      "loss": 0.8646,
+      "step": 10286
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3563815678516296e-05,
+      "loss": 0.9036,
+      "step": 10287
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3562631624546485e-05,
+      "loss": 0.7018,
+      "step": 10288
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3561447513365269e-05,
+      "loss": 0.8172,
+      "step": 10289
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3560263344991673e-05,
+      "loss": 0.7466,
+      "step": 10290
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3559079119444705e-05,
+      "loss": 1.0024,
+      "step": 10291
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.355789483674339e-05,
+      "loss": 0.8832,
+      "step": 10292
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.355671049690674e-05,
+      "loss": 0.8211,
+      "step": 10293
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3555526099953778e-05,
+      "loss": 0.9144,
+      "step": 10294
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.355434164590352e-05,
+      "loss": 0.8413,
+      "step": 10295
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.355315713477499e-05,
+      "loss": 0.7794,
+      "step": 10296
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3551972566587208e-05,
+      "loss": 0.8069,
+      "step": 10297
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3550787941359199e-05,
+      "loss": 0.8124,
+      "step": 10298
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3549603259109985e-05,
+      "loss": 0.8141,
+      "step": 10299
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3548418519858585e-05,
+      "loss": 0.8336,
+      "step": 10300
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3547233723624036e-05,
+      "loss": 0.8596,
+      "step": 10301
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3546048870425356e-05,
+      "loss": 0.7811,
+      "step": 10302
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3544863960281578e-05,
+      "loss": 0.7799,
+      "step": 10303
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3543678993211722e-05,
+      "loss": 0.8125,
+      "step": 10304
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3542493969234825e-05,
+      "loss": 0.8905,
+      "step": 10305
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3541308888369916e-05,
+      "loss": 0.8033,
+      "step": 10306
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3540123750636018e-05,
+      "loss": 0.8688,
+      "step": 10307
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3538938556052172e-05,
+      "loss": 0.7354,
+      "step": 10308
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3537753304637406e-05,
+      "loss": 0.7804,
+      "step": 10309
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3536567996410756e-05,
+      "loss": 0.8887,
+      "step": 10310
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3535382631391254e-05,
+      "loss": 0.8227,
+      "step": 10311
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3534197209597939e-05,
+      "loss": 0.8795,
+      "step": 10312
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3533011731049843e-05,
+      "loss": 0.8892,
+      "step": 10313
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3531826195766008e-05,
+      "loss": 0.8416,
+      "step": 10314
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3530640603765473e-05,
+      "loss": 0.9127,
+      "step": 10315
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3529454955067267e-05,
+      "loss": 0.8454,
+      "step": 10316
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3528269249690441e-05,
+      "loss": 0.7707,
+      "step": 10317
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3527083487654032e-05,
+      "loss": 0.8056,
+      "step": 10318
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3525897668977081e-05,
+      "loss": 0.6897,
+      "step": 10319
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3524711793678631e-05,
+      "loss": 0.8056,
+      "step": 10320
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.352352586177773e-05,
+      "loss": 0.8957,
+      "step": 10321
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3522339873293416e-05,
+      "loss": 0.9313,
+      "step": 10322
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3521153828244735e-05,
+      "loss": 0.8242,
+      "step": 10323
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.351996772665074e-05,
+      "loss": 0.7892,
+      "step": 10324
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3518781568530472e-05,
+      "loss": 0.8975,
+      "step": 10325
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3517595353902982e-05,
+      "loss": 0.8163,
+      "step": 10326
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3516409082787316e-05,
+      "loss": 0.9356,
+      "step": 10327
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.351522275520253e-05,
+      "loss": 0.7704,
+      "step": 10328
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3514036371167669e-05,
+      "loss": 0.84,
+      "step": 10329
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.351284993070179e-05,
+      "loss": 0.9801,
+      "step": 10330
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3511663433823938e-05,
+      "loss": 0.7693,
+      "step": 10331
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3510476880553177e-05,
+      "loss": 0.8377,
+      "step": 10332
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3509290270908552e-05,
+      "loss": 0.8917,
+      "step": 10333
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3508103604909127e-05,
+      "loss": 0.8948,
+      "step": 10334
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.350691688257395e-05,
+      "loss": 0.7643,
+      "step": 10335
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3505730103922083e-05,
+      "loss": 0.772,
+      "step": 10336
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3504543268972585e-05,
+      "loss": 0.8257,
+      "step": 10337
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3503356377744512e-05,
+      "loss": 0.7842,
+      "step": 10338
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.350216943025693e-05,
+      "loss": 0.7032,
+      "step": 10339
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3500982426528888e-05,
+      "loss": 0.7542,
+      "step": 10340
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.349979536657946e-05,
+      "loss": 0.7915,
+      "step": 10341
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.34986082504277e-05,
+      "loss": 0.8606,
+      "step": 10342
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.349742107809268e-05,
+      "loss": 0.8392,
+      "step": 10343
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3496233849593458e-05,
+      "loss": 0.8189,
+      "step": 10344
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3495046564949102e-05,
+      "loss": 0.8467,
+      "step": 10345
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3493859224178678e-05,
+      "loss": 0.8165,
+      "step": 10346
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3492671827301251e-05,
+      "loss": 0.837,
+      "step": 10347
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3491484374335893e-05,
+      "loss": 0.8993,
+      "step": 10348
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3490296865301668e-05,
+      "loss": 0.8128,
+      "step": 10349
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3489109300217654e-05,
+      "loss": 0.818,
+      "step": 10350
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3487921679102912e-05,
+      "loss": 0.8943,
+      "step": 10351
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3486734001976523e-05,
+      "loss": 0.7771,
+      "step": 10352
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3485546268857552e-05,
+      "loss": 0.8424,
+      "step": 10353
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3484358479765075e-05,
+      "loss": 0.8199,
+      "step": 10354
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3483170634718169e-05,
+      "loss": 0.755,
+      "step": 10355
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3481982733735905e-05,
+      "loss": 1.0052,
+      "step": 10356
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3480794776837362e-05,
+      "loss": 0.7435,
+      "step": 10357
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3479606764041616e-05,
+      "loss": 0.918,
+      "step": 10358
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.347841869536775e-05,
+      "loss": 0.6773,
+      "step": 10359
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3477230570834831e-05,
+      "loss": 0.9449,
+      "step": 10360
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3476042390461954e-05,
+      "loss": 0.7941,
+      "step": 10361
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3474854154268186e-05,
+      "loss": 0.8883,
+      "step": 10362
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3473665862272619e-05,
+      "loss": 0.9211,
+      "step": 10363
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3472477514494328e-05,
+      "loss": 0.8922,
+      "step": 10364
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.34712891109524e-05,
+      "loss": 0.7087,
+      "step": 10365
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3470100651665921e-05,
+      "loss": 0.8454,
+      "step": 10366
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3468912136653974e-05,
+      "loss": 0.6969,
+      "step": 10367
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3467723565935639e-05,
+      "loss": 0.852,
+      "step": 10368
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3466534939530014e-05,
+      "loss": 0.8239,
+      "step": 10369
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3465346257456181e-05,
+      "loss": 0.8415,
+      "step": 10370
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3464157519733228e-05,
+      "loss": 0.8459,
+      "step": 10371
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3462968726380248e-05,
+      "loss": 0.7508,
+      "step": 10372
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3461779877416327e-05,
+      "loss": 0.8658,
+      "step": 10373
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3460590972860561e-05,
+      "loss": 0.8234,
+      "step": 10374
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.345940201273204e-05,
+      "loss": 0.8824,
+      "step": 10375
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3458212997049855e-05,
+      "loss": 0.9484,
+      "step": 10376
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3457023925833106e-05,
+      "loss": 0.7684,
+      "step": 10377
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3455834799100881e-05,
+      "loss": 0.785,
+      "step": 10378
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3454645616872286e-05,
+      "loss": 0.8668,
+      "step": 10379
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3453456379166405e-05,
+      "loss": 0.8933,
+      "step": 10380
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3452267086002345e-05,
+      "loss": 0.7128,
+      "step": 10381
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3451077737399202e-05,
+      "loss": 0.7391,
+      "step": 10382
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3449888333376073e-05,
+      "loss": 0.7712,
+      "step": 10383
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3448698873952063e-05,
+      "loss": 0.7182,
+      "step": 10384
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3447509359146267e-05,
+      "loss": 0.7786,
+      "step": 10385
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3446319788977793e-05,
+      "loss": 0.934,
+      "step": 10386
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3445130163465739e-05,
+      "loss": 0.8307,
+      "step": 10387
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3443940482629214e-05,
+      "loss": 0.9464,
+      "step": 10388
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3442750746487319e-05,
+      "loss": 0.8765,
+      "step": 10389
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3441560955059163e-05,
+      "loss": 0.7081,
+      "step": 10390
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3440371108363847e-05,
+      "loss": 0.7905,
+      "step": 10391
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3439181206420486e-05,
+      "loss": 0.8523,
+      "step": 10392
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3437991249248184e-05,
+      "loss": 0.6836,
+      "step": 10393
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3436801236866048e-05,
+      "loss": 0.7384,
+      "step": 10394
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3435611169293194e-05,
+      "loss": 0.8414,
+      "step": 10395
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3434421046548727e-05,
+      "loss": 0.865,
+      "step": 10396
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3433230868651763e-05,
+      "loss": 0.8153,
+      "step": 10397
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.343204063562141e-05,
+      "loss": 0.8154,
+      "step": 10398
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.343085034747679e-05,
+      "loss": 0.7679,
+      "step": 10399
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3429660004237008e-05,
+      "loss": 0.7294,
+      "step": 10400
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3428469605921189e-05,
+      "loss": 0.8101,
+      "step": 10401
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3427279152548442e-05,
+      "loss": 0.8144,
+      "step": 10402
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3426088644137884e-05,
+      "loss": 0.6674,
+      "step": 10403
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3424898080708639e-05,
+      "loss": 0.7928,
+      "step": 10404
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.342370746227982e-05,
+      "loss": 0.9609,
+      "step": 10405
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.342251678887055e-05,
+      "loss": 0.7906,
+      "step": 10406
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3421326060499949e-05,
+      "loss": 0.8902,
+      "step": 10407
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3420135277187139e-05,
+      "loss": 0.9158,
+      "step": 10408
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3418944438951242e-05,
+      "loss": 0.9146,
+      "step": 10409
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.341775354581138e-05,
+      "loss": 0.8807,
+      "step": 10410
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3416562597786683e-05,
+      "loss": 0.8448,
+      "step": 10411
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3415371594896266e-05,
+      "loss": 0.9529,
+      "step": 10412
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3414180537159265e-05,
+      "loss": 0.8933,
+      "step": 10413
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3412989424594803e-05,
+      "loss": 0.7156,
+      "step": 10414
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3411798257222004e-05,
+      "loss": 0.7951,
+      "step": 10415
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3410607035060004e-05,
+      "loss": 0.638,
+      "step": 10416
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3409415758127929e-05,
+      "loss": 0.8019,
+      "step": 10417
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3408224426444908e-05,
+      "loss": 0.8991,
+      "step": 10418
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3407033040030071e-05,
+      "loss": 0.8246,
+      "step": 10419
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3405841598902553e-05,
+      "loss": 0.7642,
+      "step": 10420
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.340465010308149e-05,
+      "loss": 0.7639,
+      "step": 10421
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.340345855258601e-05,
+      "loss": 0.7872,
+      "step": 10422
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3402266947435251e-05,
+      "loss": 0.9492,
+      "step": 10423
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3401075287648348e-05,
+      "loss": 0.6791,
+      "step": 10424
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3399883573244438e-05,
+      "loss": 0.8434,
+      "step": 10425
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3398691804242658e-05,
+      "loss": 0.7834,
+      "step": 10426
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3397499980662145e-05,
+      "loss": 0.7726,
+      "step": 10427
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3396308102522042e-05,
+      "loss": 0.7678,
+      "step": 10428
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3395116169841487e-05,
+      "loss": 0.7485,
+      "step": 10429
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3393924182639619e-05,
+      "loss": 0.7231,
+      "step": 10430
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3392732140935583e-05,
+      "loss": 0.9813,
+      "step": 10431
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3391540044748517e-05,
+      "loss": 0.869,
+      "step": 10432
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.339034789409757e-05,
+      "loss": 0.7396,
+      "step": 10433
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3389155689001884e-05,
+      "loss": 0.8148,
+      "step": 10434
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3387963429480605e-05,
+      "loss": 0.8798,
+      "step": 10435
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3386771115552876e-05,
+      "loss": 0.8306,
+      "step": 10436
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.338557874723785e-05,
+      "loss": 0.8939,
+      "step": 10437
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.338438632455467e-05,
+      "loss": 0.73,
+      "step": 10438
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3383193847522487e-05,
+      "loss": 0.8017,
+      "step": 10439
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3382001316160451e-05,
+      "loss": 0.7893,
+      "step": 10440
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3380808730487708e-05,
+      "loss": 0.8574,
+      "step": 10441
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.337961609052342e-05,
+      "loss": 0.9558,
+      "step": 10442
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3378423396286726e-05,
+      "loss": 0.7759,
+      "step": 10443
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.337723064779679e-05,
+      "loss": 0.864,
+      "step": 10444
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3376037845072759e-05,
+      "loss": 0.8057,
+      "step": 10445
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3374844988133791e-05,
+      "loss": 0.7889,
+      "step": 10446
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3373652076999041e-05,
+      "loss": 0.8375,
+      "step": 10447
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3372459111687668e-05,
+      "loss": 0.8673,
+      "step": 10448
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3371266092218824e-05,
+      "loss": 0.9098,
+      "step": 10449
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3370073018611676e-05,
+      "loss": 1.0047,
+      "step": 10450
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3368879890885379e-05,
+      "loss": 0.8082,
+      "step": 10451
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3367686709059084e-05,
+      "loss": 0.7573,
+      "step": 10452
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3366493473151966e-05,
+      "loss": 0.8186,
+      "step": 10453
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3365300183183183e-05,
+      "loss": 0.7915,
+      "step": 10454
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3364106839171893e-05,
+      "loss": 0.8777,
+      "step": 10455
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3362913441137267e-05,
+      "loss": 0.8484,
+      "step": 10456
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3361719989098458e-05,
+      "loss": 0.8767,
+      "step": 10457
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3360526483074643e-05,
+      "loss": 0.813,
+      "step": 10458
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3359332923084985e-05,
+      "loss": 0.9998,
+      "step": 10459
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3358139309148645e-05,
+      "loss": 0.7899,
+      "step": 10460
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.33569456412848e-05,
+      "loss": 0.7448,
+      "step": 10461
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3355751919512614e-05,
+      "loss": 0.842,
+      "step": 10462
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3354558143851252e-05,
+      "loss": 0.8618,
+      "step": 10463
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3353364314319896e-05,
+      "loss": 0.7194,
+      "step": 10464
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3352170430937707e-05,
+      "loss": 0.8763,
+      "step": 10465
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3350976493723864e-05,
+      "loss": 0.9183,
+      "step": 10466
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3349782502697535e-05,
+      "loss": 0.9212,
+      "step": 10467
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.33485884578779e-05,
+      "loss": 0.7925,
+      "step": 10468
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.334739435928413e-05,
+      "loss": 0.8893,
+      "step": 10469
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3346200206935398e-05,
+      "loss": 0.7567,
+      "step": 10470
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3345006000850887e-05,
+      "loss": 0.8479,
+      "step": 10471
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3343811741049768e-05,
+      "loss": 0.7382,
+      "step": 10472
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3342617427551223e-05,
+      "loss": 0.918,
+      "step": 10473
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.334142306037443e-05,
+      "loss": 0.9073,
+      "step": 10474
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3340228639538572e-05,
+      "loss": 0.8899,
+      "step": 10475
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3339034165062827e-05,
+      "loss": 0.81,
+      "step": 10476
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3337839636966377e-05,
+      "loss": 0.7177,
+      "step": 10477
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3336645055268405e-05,
+      "loss": 0.6497,
+      "step": 10478
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3335450419988095e-05,
+      "loss": 0.8062,
+      "step": 10479
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3334255731144633e-05,
+      "loss": 0.8366,
+      "step": 10480
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3333060988757196e-05,
+      "loss": 0.689,
+      "step": 10481
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.333186619284498e-05,
+      "loss": 0.9213,
+      "step": 10482
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3330671343427169e-05,
+      "loss": 0.8956,
+      "step": 10483
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3329476440522948e-05,
+      "loss": 0.787,
+      "step": 10484
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3328281484151506e-05,
+      "loss": 0.7813,
+      "step": 10485
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3327086474332037e-05,
+      "loss": 0.8338,
+      "step": 10486
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3325891411083727e-05,
+      "loss": 0.8225,
+      "step": 10487
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3324696294425768e-05,
+      "loss": 0.8997,
+      "step": 10488
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3323501124377354e-05,
+      "loss": 0.9097,
+      "step": 10489
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3322305900957675e-05,
+      "loss": 0.8173,
+      "step": 10490
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3321110624185927e-05,
+      "loss": 0.7732,
+      "step": 10491
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3319915294081303e-05,
+      "loss": 0.8309,
+      "step": 10492
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3318719910663001e-05,
+      "loss": 0.748,
+      "step": 10493
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3317524473950214e-05,
+      "loss": 0.5959,
+      "step": 10494
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3316328983962144e-05,
+      "loss": 0.9286,
+      "step": 10495
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3315133440717982e-05,
+      "loss": 0.7328,
+      "step": 10496
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3313937844236935e-05,
+      "loss": 0.9146,
+      "step": 10497
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3312742194538198e-05,
+      "loss": 0.9087,
+      "step": 10498
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3311546491640969e-05,
+      "loss": 0.7904,
+      "step": 10499
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3310350735564457e-05,
+      "loss": 0.8365,
+      "step": 10500
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3309154926327859e-05,
+      "loss": 0.9008,
+      "step": 10501
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.330795906395038e-05,
+      "loss": 0.8202,
+      "step": 10502
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3306763148451223e-05,
+      "loss": 0.8832,
+      "step": 10503
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3305567179849594e-05,
+      "loss": 0.8861,
+      "step": 10504
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3304371158164697e-05,
+      "loss": 0.8153,
+      "step": 10505
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.330317508341574e-05,
+      "loss": 0.903,
+      "step": 10506
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.330197895562193e-05,
+      "loss": 0.8772,
+      "step": 10507
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3300782774802476e-05,
+      "loss": 0.8219,
+      "step": 10508
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3299586540976588e-05,
+      "loss": 0.7029,
+      "step": 10509
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3298390254163473e-05,
+      "loss": 0.6611,
+      "step": 10510
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3297193914382344e-05,
+      "loss": 0.8109,
+      "step": 10511
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3295997521652413e-05,
+      "loss": 0.8799,
+      "step": 10512
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3294801075992892e-05,
+      "loss": 0.9701,
+      "step": 10513
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3293604577422992e-05,
+      "loss": 0.8877,
+      "step": 10514
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3292408025961934e-05,
+      "loss": 0.9543,
+      "step": 10515
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3291211421628924e-05,
+      "loss": 0.6851,
+      "step": 10516
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3290014764443186e-05,
+      "loss": 0.7555,
+      "step": 10517
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3288818054423933e-05,
+      "loss": 0.7296,
+      "step": 10518
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3287621291590383e-05,
+      "loss": 0.9569,
+      "step": 10519
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3286424475961755e-05,
+      "loss": 0.6475,
+      "step": 10520
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3285227607557265e-05,
+      "loss": 0.8816,
+      "step": 10521
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.328403068639614e-05,
+      "loss": 0.9385,
+      "step": 10522
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3282833712497594e-05,
+      "loss": 0.9073,
+      "step": 10523
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3281636685880855e-05,
+      "loss": 0.8263,
+      "step": 10524
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3280439606565141e-05,
+      "loss": 0.9268,
+      "step": 10525
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3279242474569678e-05,
+      "loss": 0.8728,
+      "step": 10526
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3278045289913693e-05,
+      "loss": 0.7856,
+      "step": 10527
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3276848052616405e-05,
+      "loss": 0.9039,
+      "step": 10528
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3275650762697043e-05,
+      "loss": 0.8311,
+      "step": 10529
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3274453420174835e-05,
+      "loss": 0.7884,
+      "step": 10530
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.327325602506901e-05,
+      "loss": 0.9193,
+      "step": 10531
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3272058577398792e-05,
+      "loss": 0.7847,
+      "step": 10532
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3270861077183416e-05,
+      "loss": 0.8551,
+      "step": 10533
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.326966352444211e-05,
+      "loss": 0.8076,
+      "step": 10534
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3268465919194103e-05,
+      "loss": 0.7207,
+      "step": 10535
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3267268261458628e-05,
+      "loss": 0.7528,
+      "step": 10536
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3266070551254922e-05,
+      "loss": 0.8332,
+      "step": 10537
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3264872788602215e-05,
+      "loss": 0.8483,
+      "step": 10538
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3263674973519737e-05,
+      "loss": 0.8687,
+      "step": 10539
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3262477106026737e-05,
+      "loss": 0.7351,
+      "step": 10540
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3261279186142435e-05,
+      "loss": 0.9484,
+      "step": 10541
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.326008121388608e-05,
+      "loss": 0.6754,
+      "step": 10542
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3258883189276906e-05,
+      "loss": 0.8541,
+      "step": 10543
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3257685112334149e-05,
+      "loss": 0.9176,
+      "step": 10544
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3256486983077055e-05,
+      "loss": 0.7263,
+      "step": 10545
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.325528880152486e-05,
+      "loss": 0.9415,
+      "step": 10546
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3254090567696802e-05,
+      "loss": 0.8482,
+      "step": 10547
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.325289228161213e-05,
+      "loss": 0.9175,
+      "step": 10548
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3251693943290084e-05,
+      "loss": 0.6824,
+      "step": 10549
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.325049555274991e-05,
+      "loss": 0.8731,
+      "step": 10550
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3249297110010847e-05,
+      "loss": 0.9197,
+      "step": 10551
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3248098615092144e-05,
+      "loss": 0.7711,
+      "step": 10552
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.324690006801305e-05,
+      "loss": 0.8875,
+      "step": 10553
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3245701468792804e-05,
+      "loss": 0.9366,
+      "step": 10554
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3244502817450666e-05,
+      "loss": 0.7583,
+      "step": 10555
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3243304114005878e-05,
+      "loss": 0.7786,
+      "step": 10556
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3242105358477684e-05,
+      "loss": 0.9491,
+      "step": 10557
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3240906550885347e-05,
+      "loss": 0.7613,
+      "step": 10558
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3239707691248107e-05,
+      "loss": 0.7723,
+      "step": 10559
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3238508779585224e-05,
+      "loss": 0.9288,
+      "step": 10560
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3237309815915946e-05,
+      "loss": 0.7688,
+      "step": 10561
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3236110800259531e-05,
+      "loss": 0.7671,
+      "step": 10562
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.323491173263523e-05,
+      "loss": 0.77,
+      "step": 10563
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3233712613062301e-05,
+      "loss": 0.801,
+      "step": 10564
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.323251344156e-05,
+      "loss": 0.7964,
+      "step": 10565
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3231314218147584e-05,
+      "loss": 0.8201,
+      "step": 10566
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.323011494284431e-05,
+      "loss": 0.7549,
+      "step": 10567
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3228915615669436e-05,
+      "loss": 0.8855,
+      "step": 10568
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3227716236642226e-05,
+      "loss": 0.7821,
+      "step": 10569
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3226516805781934e-05,
+      "loss": 0.9188,
+      "step": 10570
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.322531732310783e-05,
+      "loss": 0.7928,
+      "step": 10571
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3224117788639168e-05,
+      "loss": 0.7607,
+      "step": 10572
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3222918202395217e-05,
+      "loss": 0.7936,
+      "step": 10573
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3221718564395234e-05,
+      "loss": 0.8985,
+      "step": 10574
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3220518874658492e-05,
+      "loss": 0.7169,
+      "step": 10575
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3219319133204251e-05,
+      "loss": 0.7473,
+      "step": 10576
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3218119340051778e-05,
+      "loss": 0.6972,
+      "step": 10577
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3216919495220344e-05,
+      "loss": 0.7831,
+      "step": 10578
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3215719598729208e-05,
+      "loss": 0.7782,
+      "step": 10579
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.321451965059765e-05,
+      "loss": 0.9366,
+      "step": 10580
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.321331965084493e-05,
+      "loss": 0.9824,
+      "step": 10581
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3212119599490327e-05,
+      "loss": 0.7293,
+      "step": 10582
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3210919496553107e-05,
+      "loss": 0.8127,
+      "step": 10583
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3209719342052545e-05,
+      "loss": 0.8427,
+      "step": 10584
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3208519136007912e-05,
+      "loss": 0.86,
+      "step": 10585
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3207318878438478e-05,
+      "loss": 0.8902,
+      "step": 10586
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3206118569363526e-05,
+      "loss": 0.8361,
+      "step": 10587
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3204918208802324e-05,
+      "loss": 0.8673,
+      "step": 10588
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3203717796774154e-05,
+      "loss": 0.7665,
+      "step": 10589
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3202517333298292e-05,
+      "loss": 0.8211,
+      "step": 10590
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3201316818394012e-05,
+      "loss": 0.9475,
+      "step": 10591
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3200116252080596e-05,
+      "loss": 0.8276,
+      "step": 10592
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3198915634377326e-05,
+      "loss": 0.7887,
+      "step": 10593
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3197714965303474e-05,
+      "loss": 0.7891,
+      "step": 10594
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.319651424487833e-05,
+      "loss": 0.7116,
+      "step": 10595
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3195313473121172e-05,
+      "loss": 0.9374,
+      "step": 10596
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3194112650051282e-05,
+      "loss": 0.9059,
+      "step": 10597
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3192911775687949e-05,
+      "loss": 0.7717,
+      "step": 10598
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.319171085005045e-05,
+      "loss": 0.7242,
+      "step": 10599
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3190509873158076e-05,
+      "loss": 0.8377,
+      "step": 10600
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3189308845030109e-05,
+      "loss": 0.8374,
+      "step": 10601
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3188107765685842e-05,
+      "loss": 0.9306,
+      "step": 10602
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3186906635144556e-05,
+      "loss": 0.8667,
+      "step": 10603
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3185705453425546e-05,
+      "loss": 0.7107,
+      "step": 10604
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3184504220548097e-05,
+      "loss": 0.9461,
+      "step": 10605
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3183302936531499e-05,
+      "loss": 0.8384,
+      "step": 10606
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3182101601395047e-05,
+      "loss": 0.7638,
+      "step": 10607
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3180900215158028e-05,
+      "loss": 0.7357,
+      "step": 10608
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3179698777839742e-05,
+      "loss": 0.9481,
+      "step": 10609
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3178497289459474e-05,
+      "loss": 0.7105,
+      "step": 10610
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3177295750036522e-05,
+      "loss": 0.6915,
+      "step": 10611
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3176094159590185e-05,
+      "loss": 0.8134,
+      "step": 10612
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3174892518139752e-05,
+      "loss": 0.9105,
+      "step": 10613
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3173690825704529e-05,
+      "loss": 0.8322,
+      "step": 10614
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3172489082303802e-05,
+      "loss": 0.9137,
+      "step": 10615
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.317128728795688e-05,
+      "loss": 0.7783,
+      "step": 10616
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3170085442683056e-05,
+      "loss": 0.7685,
+      "step": 10617
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3168883546501631e-05,
+      "loss": 0.7952,
+      "step": 10618
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3167681599431909e-05,
+      "loss": 0.8531,
+      "step": 10619
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.316647960149319e-05,
+      "loss": 0.7439,
+      "step": 10620
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3165277552704774e-05,
+      "loss": 0.6999,
+      "step": 10621
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.316407545308597e-05,
+      "loss": 0.8878,
+      "step": 10622
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3162873302656077e-05,
+      "loss": 0.8278,
+      "step": 10623
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3161671101434403e-05,
+      "loss": 0.7458,
+      "step": 10624
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3160468849440253e-05,
+      "loss": 1.024,
+      "step": 10625
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3159266546692933e-05,
+      "loss": 0.9036,
+      "step": 10626
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3158064193211753e-05,
+      "loss": 0.8997,
+      "step": 10627
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3156861789016016e-05,
+      "loss": 0.722,
+      "step": 10628
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3155659334125037e-05,
+      "loss": 0.7106,
+      "step": 10629
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3154456828558119e-05,
+      "loss": 0.8258,
+      "step": 10630
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3153254272334583e-05,
+      "loss": 0.6886,
+      "step": 10631
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3152051665473732e-05,
+      "loss": 0.6891,
+      "step": 10632
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3150849007994882e-05,
+      "loss": 0.8089,
+      "step": 10633
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3149646299917342e-05,
+      "loss": 0.7191,
+      "step": 10634
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3148443541260433e-05,
+      "loss": 0.8162,
+      "step": 10635
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3147240732043466e-05,
+      "loss": 0.8741,
+      "step": 10636
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3146037872285753e-05,
+      "loss": 0.8825,
+      "step": 10637
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3144834962006619e-05,
+      "loss": 0.7561,
+      "step": 10638
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.314363200122537e-05,
+      "loss": 0.7873,
+      "step": 10639
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3142428989961336e-05,
+      "loss": 0.7232,
+      "step": 10640
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3141225928233826e-05,
+      "loss": 1.0068,
+      "step": 10641
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3140022816062166e-05,
+      "loss": 0.7503,
+      "step": 10642
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3138819653465674e-05,
+      "loss": 0.6497,
+      "step": 10643
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.313761644046367e-05,
+      "loss": 0.8311,
+      "step": 10644
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3136413177075479e-05,
+      "loss": 0.8423,
+      "step": 10645
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3135209863320422e-05,
+      "loss": 0.9098,
+      "step": 10646
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3134006499217824e-05,
+      "loss": 0.8744,
+      "step": 10647
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3132803084787008e-05,
+      "loss": 0.8808,
+      "step": 10648
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.31315996200473e-05,
+      "loss": 0.8057,
+      "step": 10649
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3130396105018024e-05,
+      "loss": 0.7553,
+      "step": 10650
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3129192539718514e-05,
+      "loss": 0.7308,
+      "step": 10651
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.312798892416809e-05,
+      "loss": 0.8385,
+      "step": 10652
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3126785258386083e-05,
+      "loss": 0.8796,
+      "step": 10653
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3125581542391825e-05,
+      "loss": 0.8937,
+      "step": 10654
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3124377776204641e-05,
+      "loss": 0.8265,
+      "step": 10655
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.312317395984387e-05,
+      "loss": 0.7232,
+      "step": 10656
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3121970093328833e-05,
+      "loss": 0.7771,
+      "step": 10657
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3120766176678872e-05,
+      "loss": 0.8348,
+      "step": 10658
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3119562209913314e-05,
+      "loss": 0.8055,
+      "step": 10659
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3118358193051499e-05,
+      "loss": 0.8243,
+      "step": 10660
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3117154126112755e-05,
+      "loss": 0.7347,
+      "step": 10661
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3115950009116425e-05,
+      "loss": 0.7952,
+      "step": 10662
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3114745842081841e-05,
+      "loss": 0.7912,
+      "step": 10663
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3113541625028344e-05,
+      "loss": 0.7109,
+      "step": 10664
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.311233735797527e-05,
+      "loss": 0.6549,
+      "step": 10665
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3111133040941955e-05,
+      "loss": 0.7409,
+      "step": 10666
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3109928673947742e-05,
+      "loss": 0.8917,
+      "step": 10667
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3108724257011973e-05,
+      "loss": 0.681,
+      "step": 10668
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3107519790153988e-05,
+      "loss": 0.7548,
+      "step": 10669
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3106315273393126e-05,
+      "loss": 0.8194,
+      "step": 10670
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3105110706748738e-05,
+      "loss": 0.8369,
+      "step": 10671
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.310390609024016e-05,
+      "loss": 0.8322,
+      "step": 10672
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.310270142388674e-05,
+      "loss": 0.8972,
+      "step": 10673
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3101496707707825e-05,
+      "loss": 0.7783,
+      "step": 10674
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3100291941722756e-05,
+      "loss": 0.8033,
+      "step": 10675
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3099087125950886e-05,
+      "loss": 0.8597,
+      "step": 10676
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3097882260411561e-05,
+      "loss": 0.8368,
+      "step": 10677
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3096677345124125e-05,
+      "loss": 0.8482,
+      "step": 10678
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3095472380107934e-05,
+      "loss": 0.9089,
+      "step": 10679
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3094267365382337e-05,
+      "loss": 0.8464,
+      "step": 10680
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3093062300966679e-05,
+      "loss": 0.8448,
+      "step": 10681
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3091857186880317e-05,
+      "loss": 0.9171,
+      "step": 10682
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3090652023142606e-05,
+      "loss": 0.7758,
+      "step": 10683
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3089446809772892e-05,
+      "loss": 0.847,
+      "step": 10684
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3088241546790538e-05,
+      "loss": 0.7608,
+      "step": 10685
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3087036234214892e-05,
+      "loss": 0.7519,
+      "step": 10686
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3085830872065313e-05,
+      "loss": 0.9114,
+      "step": 10687
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3084625460361155e-05,
+      "loss": 0.9454,
+      "step": 10688
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.308341999912178e-05,
+      "loss": 0.8868,
+      "step": 10689
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3082214488366542e-05,
+      "loss": 0.9335,
+      "step": 10690
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3081008928114804e-05,
+      "loss": 0.7758,
+      "step": 10691
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3079803318385922e-05,
+      "loss": 0.8262,
+      "step": 10692
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3078597659199255e-05,
+      "loss": 0.7804,
+      "step": 10693
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3077391950574172e-05,
+      "loss": 0.9313,
+      "step": 10694
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3076186192530027e-05,
+      "loss": 0.8846,
+      "step": 10695
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3074980385086189e-05,
+      "loss": 0.7693,
+      "step": 10696
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3073774528262015e-05,
+      "loss": 0.8531,
+      "step": 10697
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3072568622076878e-05,
+      "loss": 0.7042,
+      "step": 10698
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3071362666550136e-05,
+      "loss": 0.6667,
+      "step": 10699
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3070156661701161e-05,
+      "loss": 1.001,
+      "step": 10700
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3068950607549318e-05,
+      "loss": 0.8028,
+      "step": 10701
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.306774450411397e-05,
+      "loss": 0.7943,
+      "step": 10702
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3066538351414493e-05,
+      "loss": 0.7949,
+      "step": 10703
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3065332149470249e-05,
+      "loss": 0.8148,
+      "step": 10704
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3064125898300615e-05,
+      "loss": 0.8017,
+      "step": 10705
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3062919597924957e-05,
+      "loss": 0.8002,
+      "step": 10706
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3061713248362648e-05,
+      "loss": 0.7398,
+      "step": 10707
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3060506849633062e-05,
+      "loss": 0.7831,
+      "step": 10708
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3059300401755571e-05,
+      "loss": 0.722,
+      "step": 10709
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3058093904749547e-05,
+      "loss": 0.764,
+      "step": 10710
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.305688735863437e-05,
+      "loss": 0.8415,
+      "step": 10711
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3055680763429411e-05,
+      "loss": 0.7442,
+      "step": 10712
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3054474119154046e-05,
+      "loss": 0.748,
+      "step": 10713
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3053267425827656e-05,
+      "loss": 0.8369,
+      "step": 10714
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3052060683469617e-05,
+      "loss": 0.8442,
+      "step": 10715
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3050853892099307e-05,
+      "loss": 0.7999,
+      "step": 10716
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3049647051736108e-05,
+      "loss": 0.9337,
+      "step": 10717
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3048440162399399e-05,
+      "loss": 0.8178,
+      "step": 10718
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3047233224108558e-05,
+      "loss": 0.9349,
+      "step": 10719
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3046026236882972e-05,
+      "loss": 0.8009,
+      "step": 10720
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3044819200742022e-05,
+      "loss": 0.8048,
+      "step": 10721
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3043612115705088e-05,
+      "loss": 0.8061,
+      "step": 10722
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.304240498179156e-05,
+      "loss": 0.6681,
+      "step": 10723
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.304119779902082e-05,
+      "loss": 0.7504,
+      "step": 10724
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3039990567412255e-05,
+      "loss": 0.8898,
+      "step": 10725
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.303878328698525e-05,
+      "loss": 0.9347,
+      "step": 10726
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3037575957759195e-05,
+      "loss": 0.7802,
+      "step": 10727
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3036368579753473e-05,
+      "loss": 0.8858,
+      "step": 10728
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.303516115298748e-05,
+      "loss": 0.8286,
+      "step": 10729
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3033953677480603e-05,
+      "loss": 0.8716,
+      "step": 10730
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3032746153252225e-05,
+      "loss": 0.9282,
+      "step": 10731
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3031538580321748e-05,
+      "loss": 0.8414,
+      "step": 10732
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.303033095870856e-05,
+      "loss": 0.8414,
+      "step": 10733
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3029123288432056e-05,
+      "loss": 0.7965,
+      "step": 10734
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3027915569511622e-05,
+      "loss": 0.718,
+      "step": 10735
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3026707801966665e-05,
+      "loss": 0.8881,
+      "step": 10736
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3025499985816568e-05,
+      "loss": 0.7477,
+      "step": 10737
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3024292121080735e-05,
+      "loss": 0.7729,
+      "step": 10738
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3023084207778558e-05,
+      "loss": 0.7601,
+      "step": 10739
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.302187624592944e-05,
+      "loss": 0.7789,
+      "step": 10740
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3020668235552776e-05,
+      "loss": 0.8309,
+      "step": 10741
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3019460176667963e-05,
+      "loss": 0.9281,
+      "step": 10742
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3018252069294404e-05,
+      "loss": 0.6791,
+      "step": 10743
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3017043913451498e-05,
+      "loss": 0.7248,
+      "step": 10744
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3015835709158649e-05,
+      "loss": 1.0423,
+      "step": 10745
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3014627456435257e-05,
+      "loss": 0.6669,
+      "step": 10746
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3013419155300725e-05,
+      "loss": 0.9197,
+      "step": 10747
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3012210805774456e-05,
+      "loss": 0.9042,
+      "step": 10748
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.301100240787586e-05,
+      "loss": 0.8882,
+      "step": 10749
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3009793961624334e-05,
+      "loss": 0.8749,
+      "step": 10750
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3008585467039291e-05,
+      "loss": 0.7741,
+      "step": 10751
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3007376924140136e-05,
+      "loss": 0.8014,
+      "step": 10752
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3006168332946275e-05,
+      "loss": 0.8038,
+      "step": 10753
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3004959693477117e-05,
+      "loss": 0.8811,
+      "step": 10754
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.300375100575207e-05,
+      "loss": 0.8106,
+      "step": 10755
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.300254226979055e-05,
+      "loss": 0.671,
+      "step": 10756
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.300133348561196e-05,
+      "loss": 0.9376,
+      "step": 10757
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3000124653235717e-05,
+      "loss": 0.6806,
+      "step": 10758
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2998915772681233e-05,
+      "loss": 0.7989,
+      "step": 10759
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2997706843967915e-05,
+      "loss": 0.6941,
+      "step": 10760
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2996497867115185e-05,
+      "loss": 0.8482,
+      "step": 10761
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2995288842142453e-05,
+      "loss": 0.8386,
+      "step": 10762
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2994079769069137e-05,
+      "loss": 0.8399,
+      "step": 10763
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2992870647914648e-05,
+      "loss": 0.8348,
+      "step": 10764
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.299166147869841e-05,
+      "loss": 0.9648,
+      "step": 10765
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2990452261439837e-05,
+      "loss": 0.6629,
+      "step": 10766
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2989242996158347e-05,
+      "loss": 0.735,
+      "step": 10767
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.298803368287336e-05,
+      "loss": 0.7424,
+      "step": 10768
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2986824321604298e-05,
+      "loss": 0.8934,
+      "step": 10769
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2985614912370577e-05,
+      "loss": 0.6521,
+      "step": 10770
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2984405455191624e-05,
+      "loss": 0.8687,
+      "step": 10771
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.298319595008686e-05,
+      "loss": 0.7978,
+      "step": 10772
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2981986397075705e-05,
+      "loss": 0.8658,
+      "step": 10773
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2980776796177588e-05,
+      "loss": 0.8578,
+      "step": 10774
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2979567147411927e-05,
+      "loss": 0.7898,
+      "step": 10775
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2978357450798153e-05,
+      "loss": 0.8922,
+      "step": 10776
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2977147706355688e-05,
+      "loss": 0.8651,
+      "step": 10777
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2975937914103967e-05,
+      "loss": 0.8958,
+      "step": 10778
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2974728074062409e-05,
+      "loss": 0.8839,
+      "step": 10779
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2973518186250444e-05,
+      "loss": 0.8449,
+      "step": 10780
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2972308250687507e-05,
+      "loss": 0.6707,
+      "step": 10781
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2971098267393019e-05,
+      "loss": 0.9463,
+      "step": 10782
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.296988823638642e-05,
+      "loss": 0.7817,
+      "step": 10783
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2968678157687133e-05,
+      "loss": 0.7391,
+      "step": 10784
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2967468031314598e-05,
+      "loss": 0.9002,
+      "step": 10785
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2966257857288245e-05,
+      "loss": 0.8256,
+      "step": 10786
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2965047635627507e-05,
+      "loss": 0.736,
+      "step": 10787
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2963837366351822e-05,
+      "loss": 0.8769,
+      "step": 10788
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2962627049480618e-05,
+      "loss": 0.7953,
+      "step": 10789
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2961416685033339e-05,
+      "loss": 0.9399,
+      "step": 10790
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2960206273029417e-05,
+      "loss": 0.9601,
+      "step": 10791
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2958995813488293e-05,
+      "loss": 0.8543,
+      "step": 10792
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2957785306429402e-05,
+      "loss": 0.7674,
+      "step": 10793
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2956574751872188e-05,
+      "loss": 0.829,
+      "step": 10794
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2955364149836088e-05,
+      "loss": 0.7908,
+      "step": 10795
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2954153500340543e-05,
+      "loss": 0.8228,
+      "step": 10796
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2952942803404991e-05,
+      "loss": 0.743,
+      "step": 10797
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2951732059048882e-05,
+      "loss": 0.7809,
+      "step": 10798
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2950521267291656e-05,
+      "loss": 0.7416,
+      "step": 10799
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.294931042815275e-05,
+      "loss": 0.9491,
+      "step": 10800
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.294809954165162e-05,
+      "loss": 0.8378,
+      "step": 10801
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2946888607807702e-05,
+      "loss": 0.885,
+      "step": 10802
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2945677626640447e-05,
+      "loss": 0.7525,
+      "step": 10803
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2944466598169299e-05,
+      "loss": 0.7334,
+      "step": 10804
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2943255522413708e-05,
+      "loss": 0.8457,
+      "step": 10805
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.294204439939312e-05,
+      "loss": 0.9231,
+      "step": 10806
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.294083322912699e-05,
+      "loss": 0.7886,
+      "step": 10807
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2939622011634762e-05,
+      "loss": 0.7496,
+      "step": 10808
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2938410746935883e-05,
+      "loss": 0.7799,
+      "step": 10809
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2937199435049816e-05,
+      "loss": 0.7278,
+      "step": 10810
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2935988075996004e-05,
+      "loss": 0.989,
+      "step": 10811
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.29347766697939e-05,
+      "loss": 0.6857,
+      "step": 10812
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2933565216462965e-05,
+      "loss": 0.8702,
+      "step": 10813
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2932353716022646e-05,
+      "loss": 0.8122,
+      "step": 10814
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2931142168492399e-05,
+      "loss": 0.7979,
+      "step": 10815
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2929930573891685e-05,
+      "loss": 0.9046,
+      "step": 10816
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2928718932239957e-05,
+      "loss": 0.772,
+      "step": 10817
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2927507243556669e-05,
+      "loss": 0.9527,
+      "step": 10818
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2926295507861287e-05,
+      "loss": 0.8779,
+      "step": 10819
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2925083725173264e-05,
+      "loss": 0.9124,
+      "step": 10820
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2923871895512064e-05,
+      "loss": 0.7047,
+      "step": 10821
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.292266001889714e-05,
+      "loss": 0.6886,
+      "step": 10822
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2921448095347964e-05,
+      "loss": 0.7465,
+      "step": 10823
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2920236124883989e-05,
+      "loss": 0.9114,
+      "step": 10824
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2919024107524683e-05,
+      "loss": 0.8865,
+      "step": 10825
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2917812043289506e-05,
+      "loss": 0.8204,
+      "step": 10826
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2916599932197924e-05,
+      "loss": 0.6729,
+      "step": 10827
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2915387774269403e-05,
+      "loss": 0.8369,
+      "step": 10828
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2914175569523408e-05,
+      "loss": 0.7806,
+      "step": 10829
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2912963317979403e-05,
+      "loss": 0.8166,
+      "step": 10830
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2911751019656858e-05,
+      "loss": 0.8501,
+      "step": 10831
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2910538674575242e-05,
+      "loss": 0.8618,
+      "step": 10832
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.290932628275402e-05,
+      "loss": 0.8832,
+      "step": 10833
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2908113844212665e-05,
+      "loss": 0.9391,
+      "step": 10834
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2906901358970643e-05,
+      "loss": 0.8516,
+      "step": 10835
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2905688827047431e-05,
+      "loss": 1.0376,
+      "step": 10836
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2904476248462496e-05,
+      "loss": 0.9034,
+      "step": 10837
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2903263623235312e-05,
+      "loss": 0.8618,
+      "step": 10838
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2902050951385353e-05,
+      "loss": 0.7488,
+      "step": 10839
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.290083823293209e-05,
+      "loss": 0.8774,
+      "step": 10840
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2899625467895e-05,
+      "loss": 0.8446,
+      "step": 10841
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.289841265629356e-05,
+      "loss": 0.7859,
+      "step": 10842
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2897199798147243e-05,
+      "loss": 0.8003,
+      "step": 10843
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.289598689347553e-05,
+      "loss": 0.8055,
+      "step": 10844
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2894773942297896e-05,
+      "loss": 0.7091,
+      "step": 10845
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.289356094463382e-05,
+      "loss": 0.7335,
+      "step": 10846
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.289234790050278e-05,
+      "loss": 0.7554,
+      "step": 10847
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2891134809924257e-05,
+      "loss": 0.8424,
+      "step": 10848
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2889921672917731e-05,
+      "loss": 0.8945,
+      "step": 10849
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2888708489502686e-05,
+      "loss": 0.7542,
+      "step": 10850
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2887495259698602e-05,
+      "loss": 0.8149,
+      "step": 10851
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2886281983524962e-05,
+      "loss": 0.7805,
+      "step": 10852
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.288506866100125e-05,
+      "loss": 0.8761,
+      "step": 10853
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.288385529214695e-05,
+      "loss": 0.7285,
+      "step": 10854
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.288264187698155e-05,
+      "loss": 0.7012,
+      "step": 10855
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2881428415524531e-05,
+      "loss": 0.8124,
+      "step": 10856
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2880214907795383e-05,
+      "loss": 0.7991,
+      "step": 10857
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2879001353813595e-05,
+      "loss": 0.6047,
+      "step": 10858
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2877787753598647e-05,
+      "loss": 0.6876,
+      "step": 10859
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.287657410717004e-05,
+      "loss": 0.777,
+      "step": 10860
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2875360414547256e-05,
+      "loss": 0.7971,
+      "step": 10861
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2874146675749784e-05,
+      "loss": 0.8772,
+      "step": 10862
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2872932890797121e-05,
+      "loss": 0.7419,
+      "step": 10863
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2871719059708751e-05,
+      "loss": 0.853,
+      "step": 10864
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2870505182504175e-05,
+      "loss": 0.7769,
+      "step": 10865
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2869291259202886e-05,
+      "loss": 0.9032,
+      "step": 10866
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2868077289824368e-05,
+      "loss": 0.722,
+      "step": 10867
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2866863274388128e-05,
+      "loss": 0.6992,
+      "step": 10868
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2865649212913654e-05,
+      "loss": 0.7433,
+      "step": 10869
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2864435105420442e-05,
+      "loss": 0.9324,
+      "step": 10870
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2863220951927995e-05,
+      "loss": 0.8095,
+      "step": 10871
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2862006752455806e-05,
+      "loss": 0.8259,
+      "step": 10872
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2860792507023374e-05,
+      "loss": 0.9356,
+      "step": 10873
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2859578215650202e-05,
+      "loss": 0.8617,
+      "step": 10874
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2858363878355786e-05,
+      "loss": 0.7732,
+      "step": 10875
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2857149495159627e-05,
+      "loss": 0.8567,
+      "step": 10876
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2855935066081227e-05,
+      "loss": 0.7906,
+      "step": 10877
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2854720591140088e-05,
+      "loss": 0.678,
+      "step": 10878
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2853506070355717e-05,
+      "loss": 0.7968,
+      "step": 10879
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.285229150374761e-05,
+      "loss": 0.7393,
+      "step": 10880
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2851076891335277e-05,
+      "loss": 0.7807,
+      "step": 10881
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2849862233138222e-05,
+      "loss": 0.8311,
+      "step": 10882
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.284864752917595e-05,
+      "loss": 0.7238,
+      "step": 10883
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.284743277946797e-05,
+      "loss": 0.8134,
+      "step": 10884
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2846217984033786e-05,
+      "loss": 0.8359,
+      "step": 10885
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.284500314289291e-05,
+      "loss": 0.9047,
+      "step": 10886
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2843788256064844e-05,
+      "loss": 0.9769,
+      "step": 10887
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2842573323569107e-05,
+      "loss": 0.9642,
+      "step": 10888
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2841358345425202e-05,
+      "loss": 0.7911,
+      "step": 10889
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2840143321652642e-05,
+      "loss": 0.8224,
+      "step": 10890
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2838928252270937e-05,
+      "loss": 0.9629,
+      "step": 10891
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2837713137299605e-05,
+      "loss": 0.8991,
+      "step": 10892
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2836497976758156e-05,
+      "loss": 0.766,
+      "step": 10893
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2835282770666101e-05,
+      "loss": 0.8595,
+      "step": 10894
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2834067519042962e-05,
+      "loss": 0.8029,
+      "step": 10895
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2832852221908247e-05,
+      "loss": 0.7992,
+      "step": 10896
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2831636879281475e-05,
+      "loss": 0.7799,
+      "step": 10897
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2830421491182164e-05,
+      "loss": 0.8394,
+      "step": 10898
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.282920605762983e-05,
+      "loss": 0.7847,
+      "step": 10899
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2827990578643994e-05,
+      "loss": 0.6683,
+      "step": 10900
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2826775054244167e-05,
+      "loss": 0.8819,
+      "step": 10901
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2825559484449882e-05,
+      "loss": 0.8888,
+      "step": 10902
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2824343869280648e-05,
+      "loss": 0.7228,
+      "step": 10903
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.282312820875599e-05,
+      "loss": 0.7675,
+      "step": 10904
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2821912502895436e-05,
+      "loss": 0.7659,
+      "step": 10905
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.28206967517185e-05,
+      "loss": 0.86,
+      "step": 10906
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2819480955244705e-05,
+      "loss": 0.7313,
+      "step": 10907
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2818265113493582e-05,
+      "loss": 0.7991,
+      "step": 10908
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2817049226484652e-05,
+      "loss": 0.7494,
+      "step": 10909
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2815833294237444e-05,
+      "loss": 0.8537,
+      "step": 10910
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2814617316771478e-05,
+      "loss": 0.9098,
+      "step": 10911
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2813401294106286e-05,
+      "loss": 0.7619,
+      "step": 10912
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2812185226261396e-05,
+      "loss": 0.79,
+      "step": 10913
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2810969113256335e-05,
+      "loss": 0.9652,
+      "step": 10914
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2809752955110632e-05,
+      "loss": 0.9482,
+      "step": 10915
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2808536751843816e-05,
+      "loss": 0.7568,
+      "step": 10916
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2807320503475422e-05,
+      "loss": 0.7439,
+      "step": 10917
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2806104210024974e-05,
+      "loss": 0.7735,
+      "step": 10918
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2804887871512013e-05,
+      "loss": 0.8467,
+      "step": 10919
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2803671487956063e-05,
+      "loss": 0.776,
+      "step": 10920
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.280245505937667e-05,
+      "loss": 0.7768,
+      "step": 10921
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2801238585793352e-05,
+      "loss": 0.901,
+      "step": 10922
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2800022067225655e-05,
+      "loss": 0.7918,
+      "step": 10923
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2798805503693115e-05,
+      "loss": 0.9292,
+      "step": 10924
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2797588895215263e-05,
+      "loss": 0.7854,
+      "step": 10925
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2796372241811642e-05,
+      "loss": 0.6266,
+      "step": 10926
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.279515554350178e-05,
+      "loss": 0.8607,
+      "step": 10927
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.279393880030523e-05,
+      "loss": 0.692,
+      "step": 10928
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2792722012241519e-05,
+      "loss": 0.8131,
+      "step": 10929
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2791505179330195e-05,
+      "loss": 0.8168,
+      "step": 10930
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2790288301590793e-05,
+      "loss": 0.7091,
+      "step": 10931
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.278907137904286e-05,
+      "loss": 0.8306,
+      "step": 10932
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2787854411705935e-05,
+      "loss": 0.8343,
+      "step": 10933
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.278663739959956e-05,
+      "loss": 0.8219,
+      "step": 10934
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2785420342743282e-05,
+      "loss": 0.9508,
+      "step": 10935
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2784203241156642e-05,
+      "loss": 0.6737,
+      "step": 10936
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2782986094859187e-05,
+      "loss": 0.7396,
+      "step": 10937
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2781768903870462e-05,
+      "loss": 0.8957,
+      "step": 10938
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2780551668210016e-05,
+      "loss": 0.7107,
+      "step": 10939
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2779334387897393e-05,
+      "loss": 0.8143,
+      "step": 10940
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2778117062952143e-05,
+      "loss": 0.7654,
+      "step": 10941
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2776899693393815e-05,
+      "loss": 0.8889,
+      "step": 10942
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2775682279241956e-05,
+      "loss": 0.7859,
+      "step": 10943
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.277446482051612e-05,
+      "loss": 0.8357,
+      "step": 10944
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2773247317235855e-05,
+      "loss": 0.8845,
+      "step": 10945
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.277202976942071e-05,
+      "loss": 0.7951,
+      "step": 10946
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2770812177090243e-05,
+      "loss": 0.854,
+      "step": 10947
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2769594540264008e-05,
+      "loss": 0.8514,
+      "step": 10948
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2768376858961549e-05,
+      "loss": 0.775,
+      "step": 10949
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.276715913320243e-05,
+      "loss": 0.8247,
+      "step": 10950
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.27659413630062e-05,
+      "loss": 0.8133,
+      "step": 10951
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2764723548392421e-05,
+      "loss": 0.9398,
+      "step": 10952
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2763505689380647e-05,
+      "loss": 0.8363,
+      "step": 10953
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2762287785990428e-05,
+      "loss": 0.8751,
+      "step": 10954
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2761069838241334e-05,
+      "loss": 0.7909,
+      "step": 10955
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2759851846152914e-05,
+      "loss": 0.8733,
+      "step": 10956
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2758633809744736e-05,
+      "loss": 0.8037,
+      "step": 10957
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2757415729036354e-05,
+      "loss": 0.7717,
+      "step": 10958
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2756197604047333e-05,
+      "loss": 0.8267,
+      "step": 10959
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2754979434797228e-05,
+      "loss": 0.7451,
+      "step": 10960
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2753761221305609e-05,
+      "loss": 0.7607,
+      "step": 10961
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2752542963592033e-05,
+      "loss": 0.8984,
+      "step": 10962
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2751324661676068e-05,
+      "loss": 0.7985,
+      "step": 10963
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2750106315577276e-05,
+      "loss": 0.929,
+      "step": 10964
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2748887925315221e-05,
+      "loss": 0.7552,
+      "step": 10965
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2747669490909473e-05,
+      "loss": 0.7172,
+      "step": 10966
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2746451012379593e-05,
+      "loss": 0.7103,
+      "step": 10967
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2745232489745153e-05,
+      "loss": 0.7589,
+      "step": 10968
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2744013923025717e-05,
+      "loss": 0.9075,
+      "step": 10969
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2742795312240862e-05,
+      "loss": 0.8604,
+      "step": 10970
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2741576657410144e-05,
+      "loss": 0.8581,
+      "step": 10971
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2740357958553144e-05,
+      "loss": 0.7372,
+      "step": 10972
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2739139215689428e-05,
+      "loss": 0.7235,
+      "step": 10973
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.273792042883857e-05,
+      "loss": 0.7311,
+      "step": 10974
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.273670159802014e-05,
+      "loss": 0.8203,
+      "step": 10975
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2735482723253711e-05,
+      "loss": 0.7386,
+      "step": 10976
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2734263804558858e-05,
+      "loss": 0.7236,
+      "step": 10977
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2733044841955153e-05,
+      "loss": 0.8235,
+      "step": 10978
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2731825835462175e-05,
+      "loss": 0.7752,
+      "step": 10979
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2730606785099493e-05,
+      "loss": 0.8365,
+      "step": 10980
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2729387690886692e-05,
+      "loss": 0.8774,
+      "step": 10981
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2728168552843345e-05,
+      "loss": 0.8535,
+      "step": 10982
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2726949370989026e-05,
+      "loss": 0.8989,
+      "step": 10983
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.272573014534332e-05,
+      "loss": 0.6499,
+      "step": 10984
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2724510875925802e-05,
+      "loss": 0.6771,
+      "step": 10985
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2723291562756055e-05,
+      "loss": 0.7944,
+      "step": 10986
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2722072205853658e-05,
+      "loss": 0.7668,
+      "step": 10987
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2720852805238191e-05,
+      "loss": 0.8161,
+      "step": 10988
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2719633360929238e-05,
+      "loss": 0.8054,
+      "step": 10989
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2718413872946381e-05,
+      "loss": 0.8282,
+      "step": 10990
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2717194341309203e-05,
+      "loss": 0.883,
+      "step": 10991
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2715974766037289e-05,
+      "loss": 0.8372,
+      "step": 10992
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2714755147150222e-05,
+      "loss": 0.8429,
+      "step": 10993
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2713535484667592e-05,
+      "loss": 0.739,
+      "step": 10994
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2712315778608982e-05,
+      "loss": 0.7788,
+      "step": 10995
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2711096028993977e-05,
+      "loss": 0.9122,
+      "step": 10996
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2709876235842166e-05,
+      "loss": 0.8416,
+      "step": 10997
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.270865639917314e-05,
+      "loss": 0.8092,
+      "step": 10998
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2707436519006489e-05,
+      "loss": 0.9697,
+      "step": 10999
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2706216595361797e-05,
+      "loss": 0.7851,
+      "step": 11000
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2704996628258659e-05,
+      "loss": 0.8226,
+      "step": 11001
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2703776617716666e-05,
+      "loss": 0.7002,
+      "step": 11002
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2702556563755406e-05,
+      "loss": 0.8057,
+      "step": 11003
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2701336466394476e-05,
+      "loss": 0.8376,
+      "step": 11004
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2700116325653464e-05,
+      "loss": 0.865,
+      "step": 11005
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.269889614155197e-05,
+      "loss": 0.8651,
+      "step": 11006
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2697675914109583e-05,
+      "loss": 0.9397,
+      "step": 11007
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2696455643345906e-05,
+      "loss": 0.9351,
+      "step": 11008
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2695235329280527e-05,
+      "loss": 0.7648,
+      "step": 11009
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2694014971933047e-05,
+      "loss": 0.7293,
+      "step": 11010
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2692794571323064e-05,
+      "loss": 0.8042,
+      "step": 11011
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.269157412747017e-05,
+      "loss": 0.8456,
+      "step": 11012
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2690353640393974e-05,
+      "loss": 0.6264,
+      "step": 11013
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2689133110114065e-05,
+      "loss": 0.8932,
+      "step": 11014
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2687912536650048e-05,
+      "loss": 0.9508,
+      "step": 11015
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2686691920021526e-05,
+      "loss": 0.7485,
+      "step": 11016
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2685471260248096e-05,
+      "loss": 0.9021,
+      "step": 11017
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2684250557349365e-05,
+      "loss": 0.8142,
+      "step": 11018
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2683029811344933e-05,
+      "loss": 0.6589,
+      "step": 11019
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2681809022254404e-05,
+      "loss": 0.9599,
+      "step": 11020
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2680588190097382e-05,
+      "loss": 0.8826,
+      "step": 11021
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2679367314893476e-05,
+      "loss": 0.6385,
+      "step": 11022
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2678146396662282e-05,
+      "loss": 0.7851,
+      "step": 11023
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.267692543542342e-05,
+      "loss": 0.7258,
+      "step": 11024
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2675704431196483e-05,
+      "loss": 0.7669,
+      "step": 11025
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2674483384001091e-05,
+      "loss": 0.8347,
+      "step": 11026
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2673262293856845e-05,
+      "loss": 0.7408,
+      "step": 11027
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2672041160783354e-05,
+      "loss": 0.9139,
+      "step": 11028
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2670819984800233e-05,
+      "loss": 0.768,
+      "step": 11029
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.266959876592709e-05,
+      "loss": 0.7346,
+      "step": 11030
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2668377504183537e-05,
+      "loss": 0.8894,
+      "step": 11031
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2667156199589183e-05,
+      "loss": 0.9626,
+      "step": 11032
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2665934852163644e-05,
+      "loss": 0.8051,
+      "step": 11033
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2664713461926533e-05,
+      "loss": 0.8478,
+      "step": 11034
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2663492028897459e-05,
+      "loss": 0.8592,
+      "step": 11035
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2662270553096043e-05,
+      "loss": 0.7795,
+      "step": 11036
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2661049034541897e-05,
+      "loss": 0.9186,
+      "step": 11037
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2659827473254637e-05,
+      "loss": 0.8874,
+      "step": 11038
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2658605869253884e-05,
+      "loss": 0.9991,
+      "step": 11039
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.265738422255925e-05,
+      "loss": 0.6517,
+      "step": 11040
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2656162533190354e-05,
+      "loss": 0.7641,
+      "step": 11041
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2654940801166819e-05,
+      "loss": 0.7697,
+      "step": 11042
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2653719026508258e-05,
+      "loss": 0.8465,
+      "step": 11043
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2652497209234299e-05,
+      "loss": 0.7273,
+      "step": 11044
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2651275349364553e-05,
+      "loss": 0.8092,
+      "step": 11045
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2650053446918653e-05,
+      "loss": 0.7998,
+      "step": 11046
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2648831501916212e-05,
+      "loss": 0.7842,
+      "step": 11047
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2647609514376858e-05,
+      "loss": 0.9243,
+      "step": 11048
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2646387484320211e-05,
+      "loss": 0.7879,
+      "step": 11049
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2645165411765899e-05,
+      "loss": 0.8512,
+      "step": 11050
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2643943296733545e-05,
+      "loss": 0.8028,
+      "step": 11051
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2642721139242773e-05,
+      "loss": 0.7587,
+      "step": 11052
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2641498939313213e-05,
+      "loss": 0.835,
+      "step": 11053
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2640276696964487e-05,
+      "loss": 0.7608,
+      "step": 11054
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2639054412216227e-05,
+      "loss": 0.8314,
+      "step": 11055
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.263783208508806e-05,
+      "loss": 0.836,
+      "step": 11056
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2636609715599617e-05,
+      "loss": 0.8287,
+      "step": 11057
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2635387303770523e-05,
+      "loss": 0.8222,
+      "step": 11058
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2634164849620414e-05,
+      "loss": 0.8134,
+      "step": 11059
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2632942353168917e-05,
+      "loss": 0.7348,
+      "step": 11060
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2631719814435664e-05,
+      "loss": 0.8074,
+      "step": 11061
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.263049723344029e-05,
+      "loss": 0.826,
+      "step": 11062
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2629274610202427e-05,
+      "loss": 0.8456,
+      "step": 11063
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2628051944741709e-05,
+      "loss": 0.9715,
+      "step": 11064
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2626829237077766e-05,
+      "loss": 0.6891,
+      "step": 11065
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2625606487230239e-05,
+      "loss": 0.8369,
+      "step": 11066
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2624383695218762e-05,
+      "loss": 0.6543,
+      "step": 11067
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2623160861062976e-05,
+      "loss": 0.783,
+      "step": 11068
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2621937984782508e-05,
+      "loss": 0.8141,
+      "step": 11069
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2620715066397002e-05,
+      "loss": 0.7549,
+      "step": 11070
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2619492105926096e-05,
+      "loss": 0.7393,
+      "step": 11071
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.261826910338943e-05,
+      "loss": 1.0894,
+      "step": 11072
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2617046058806645e-05,
+      "loss": 0.8324,
+      "step": 11073
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2615822972197375e-05,
+      "loss": 0.7366,
+      "step": 11074
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.261459984358127e-05,
+      "loss": 0.8031,
+      "step": 11075
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2613376672977968e-05,
+      "loss": 0.8616,
+      "step": 11076
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2612153460407109e-05,
+      "loss": 0.836,
+      "step": 11077
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2610930205888341e-05,
+      "loss": 0.8524,
+      "step": 11078
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2609706909441303e-05,
+      "loss": 0.7352,
+      "step": 11079
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2608483571085644e-05,
+      "loss": 0.8381,
+      "step": 11080
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2607260190841007e-05,
+      "loss": 0.8778,
+      "step": 11081
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.260603676872704e-05,
+      "loss": 0.7212,
+      "step": 11082
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2604813304763383e-05,
+      "loss": 0.7843,
+      "step": 11083
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2603589798969693e-05,
+      "loss": 0.9669,
+      "step": 11084
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2602366251365613e-05,
+      "loss": 0.7787,
+      "step": 11085
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2601142661970789e-05,
+      "loss": 0.7635,
+      "step": 11086
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2599919030804875e-05,
+      "loss": 0.8967,
+      "step": 11087
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.259869535788752e-05,
+      "loss": 0.862,
+      "step": 11088
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2597471643238372e-05,
+      "loss": 0.8225,
+      "step": 11089
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2596247886877086e-05,
+      "loss": 0.7964,
+      "step": 11090
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2595024088823313e-05,
+      "loss": 0.832,
+      "step": 11091
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2593800249096702e-05,
+      "loss": 0.7769,
+      "step": 11092
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.259257636771691e-05,
+      "loss": 0.8966,
+      "step": 11093
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2591352444703591e-05,
+      "loss": 0.869,
+      "step": 11094
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.25901284800764e-05,
+      "loss": 0.7903,
+      "step": 11095
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2588904473854988e-05,
+      "loss": 0.8578,
+      "step": 11096
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.258768042605902e-05,
+      "loss": 0.7885,
+      "step": 11097
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2586456336708141e-05,
+      "loss": 0.7504,
+      "step": 11098
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2585232205822015e-05,
+      "loss": 0.8296,
+      "step": 11099
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2584008033420304e-05,
+      "loss": 0.7862,
+      "step": 11100
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2582783819522656e-05,
+      "loss": 0.7439,
+      "step": 11101
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.258155956414874e-05,
+      "loss": 0.6843,
+      "step": 11102
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2580335267318209e-05,
+      "loss": 0.707,
+      "step": 11103
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2579110929050731e-05,
+      "loss": 0.8057,
+      "step": 11104
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2577886549365958e-05,
+      "loss": 0.9029,
+      "step": 11105
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2576662128283564e-05,
+      "loss": 0.7678,
+      "step": 11106
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.25754376658232e-05,
+      "loss": 0.7488,
+      "step": 11107
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2574213162004536e-05,
+      "loss": 0.7365,
+      "step": 11108
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2572988616847234e-05,
+      "loss": 0.7524,
+      "step": 11109
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2571764030370958e-05,
+      "loss": 0.9176,
+      "step": 11110
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.257053940259538e-05,
+      "loss": 0.7485,
+      "step": 11111
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2569314733540153e-05,
+      "loss": 0.6951,
+      "step": 11112
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2568090023224952e-05,
+      "loss": 0.7995,
+      "step": 11113
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2566865271669446e-05,
+      "loss": 0.7837,
+      "step": 11114
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2565640478893299e-05,
+      "loss": 0.7485,
+      "step": 11115
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2564415644916179e-05,
+      "loss": 0.6202,
+      "step": 11116
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.256319076975776e-05,
+      "loss": 0.782,
+      "step": 11117
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.256196585343771e-05,
+      "loss": 0.7633,
+      "step": 11118
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2560740895975694e-05,
+      "loss": 0.8489,
+      "step": 11119
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2559515897391392e-05,
+      "loss": 0.8697,
+      "step": 11120
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2558290857704472e-05,
+      "loss": 0.8024,
+      "step": 11121
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2557065776934604e-05,
+      "loss": 0.8482,
+      "step": 11122
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2555840655101465e-05,
+      "loss": 0.7327,
+      "step": 11123
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2554615492224731e-05,
+      "loss": 0.7987,
+      "step": 11124
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2553390288324067e-05,
+      "loss": 0.8302,
+      "step": 11125
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.255216504341916e-05,
+      "loss": 0.7443,
+      "step": 11126
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2550939757529678e-05,
+      "loss": 1.0013,
+      "step": 11127
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2549714430675299e-05,
+      "loss": 0.9066,
+      "step": 11128
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2548489062875705e-05,
+      "loss": 0.7778,
+      "step": 11129
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2547263654150565e-05,
+      "loss": 0.8477,
+      "step": 11130
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2546038204519567e-05,
+      "loss": 0.7917,
+      "step": 11131
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2544812714002381e-05,
+      "loss": 0.8237,
+      "step": 11132
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2543587182618695e-05,
+      "loss": 0.8842,
+      "step": 11133
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2542361610388185e-05,
+      "loss": 0.8588,
+      "step": 11134
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2541135997330534e-05,
+      "loss": 0.8043,
+      "step": 11135
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2539910343465422e-05,
+      "loss": 0.9167,
+      "step": 11136
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2538684648812535e-05,
+      "loss": 0.7587,
+      "step": 11137
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2537458913391553e-05,
+      "loss": 0.8774,
+      "step": 11138
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2536233137222159e-05,
+      "loss": 0.8678,
+      "step": 11139
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2535007320324039e-05,
+      "loss": 0.7561,
+      "step": 11140
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2533781462716879e-05,
+      "loss": 0.8947,
+      "step": 11141
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2532555564420363e-05,
+      "loss": 0.7297,
+      "step": 11142
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2531329625454179e-05,
+      "loss": 0.7644,
+      "step": 11143
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2530103645838011e-05,
+      "loss": 0.8629,
+      "step": 11144
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2528877625591552e-05,
+      "loss": 0.8151,
+      "step": 11145
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2527651564734487e-05,
+      "loss": 0.7967,
+      "step": 11146
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2526425463286503e-05,
+      "loss": 0.8267,
+      "step": 11147
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2525199321267292e-05,
+      "loss": 0.8132,
+      "step": 11148
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2523973138696546e-05,
+      "loss": 0.8674,
+      "step": 11149
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2522746915593951e-05,
+      "loss": 0.6953,
+      "step": 11150
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2521520651979205e-05,
+      "loss": 0.8698,
+      "step": 11151
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2520294347871993e-05,
+      "loss": 0.8182,
+      "step": 11152
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2519068003292017e-05,
+      "loss": 0.7866,
+      "step": 11153
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2517841618258961e-05,
+      "loss": 0.8729,
+      "step": 11154
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2516615192792524e-05,
+      "loss": 0.8062,
+      "step": 11155
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2515388726912406e-05,
+      "loss": 0.7215,
+      "step": 11156
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.251416222063829e-05,
+      "loss": 0.7431,
+      "step": 11157
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2512935673989884e-05,
+      "loss": 0.7601,
+      "step": 11158
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2511709086986876e-05,
+      "loss": 0.9803,
+      "step": 11159
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2510482459648972e-05,
+      "loss": 0.7953,
+      "step": 11160
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2509255791995863e-05,
+      "loss": 0.7595,
+      "step": 11161
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2508029084047251e-05,
+      "loss": 0.8681,
+      "step": 11162
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2506802335822831e-05,
+      "loss": 0.7208,
+      "step": 11163
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.250557554734231e-05,
+      "loss": 0.7938,
+      "step": 11164
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2504348718625385e-05,
+      "loss": 0.8986,
+      "step": 11165
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2503121849691758e-05,
+      "loss": 0.7138,
+      "step": 11166
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2501894940561133e-05,
+      "loss": 0.729,
+      "step": 11167
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2500667991253205e-05,
+      "loss": 0.788,
+      "step": 11168
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2499441001787687e-05,
+      "loss": 0.7403,
+      "step": 11169
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2498213972184277e-05,
+      "loss": 0.9332,
+      "step": 11170
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2496986902462683e-05,
+      "loss": 0.7884,
+      "step": 11171
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2495759792642603e-05,
+      "loss": 0.8324,
+      "step": 11172
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2494532642743753e-05,
+      "loss": 0.7467,
+      "step": 11173
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.249330545278583e-05,
+      "loss": 0.8033,
+      "step": 11174
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.249207822278855e-05,
+      "loss": 0.6539,
+      "step": 11175
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2490850952771617e-05,
+      "loss": 0.7804,
+      "step": 11176
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2489623642754736e-05,
+      "loss": 0.7326,
+      "step": 11177
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.248839629275762e-05,
+      "loss": 0.8785,
+      "step": 11178
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2487168902799976e-05,
+      "loss": 0.8651,
+      "step": 11179
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2485941472901519e-05,
+      "loss": 0.8315,
+      "step": 11180
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2484714003081954e-05,
+      "loss": 0.7668,
+      "step": 11181
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2483486493360996e-05,
+      "loss": 0.8569,
+      "step": 11182
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.248225894375836e-05,
+      "loss": 0.9579,
+      "step": 11183
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2481031354293754e-05,
+      "loss": 0.7955,
+      "step": 11184
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2479803724986894e-05,
+      "loss": 0.8342,
+      "step": 11185
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2478576055857492e-05,
+      "loss": 0.854,
+      "step": 11186
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2477348346925264e-05,
+      "loss": 0.8996,
+      "step": 11187
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2476120598209926e-05,
+      "loss": 0.8685,
+      "step": 11188
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2474892809731196e-05,
+      "loss": 0.8078,
+      "step": 11189
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2473664981508786e-05,
+      "loss": 0.7589,
+      "step": 11190
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.247243711356242e-05,
+      "loss": 0.6528,
+      "step": 11191
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.247120920591181e-05,
+      "loss": 0.7248,
+      "step": 11192
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2469981258576676e-05,
+      "loss": 0.9464,
+      "step": 11193
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2468753271576737e-05,
+      "loss": 0.8867,
+      "step": 11194
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2467525244931717e-05,
+      "loss": 0.8136,
+      "step": 11195
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2466297178661332e-05,
+      "loss": 0.728,
+      "step": 11196
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2465069072785304e-05,
+      "loss": 0.8649,
+      "step": 11197
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2463840927323358e-05,
+      "loss": 0.865,
+      "step": 11198
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.246261274229521e-05,
+      "loss": 0.7443,
+      "step": 11199
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2461384517720592e-05,
+      "loss": 0.9423,
+      "step": 11200
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2460156253619218e-05,
+      "loss": 0.7339,
+      "step": 11201
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2458927950010821e-05,
+      "loss": 0.7107,
+      "step": 11202
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.245769960691512e-05,
+      "loss": 0.8871,
+      "step": 11203
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2456471224351847e-05,
+      "loss": 0.8341,
+      "step": 11204
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2455242802340721e-05,
+      "loss": 0.7264,
+      "step": 11205
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2454014340901472e-05,
+      "loss": 0.8586,
+      "step": 11206
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2452785840053829e-05,
+      "loss": 0.8376,
+      "step": 11207
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2451557299817519e-05,
+      "loss": 0.9678,
+      "step": 11208
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.245032872021227e-05,
+      "loss": 0.6705,
+      "step": 11209
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2449100101257812e-05,
+      "loss": 0.7657,
+      "step": 11210
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2447871442973876e-05,
+      "loss": 0.8844,
+      "step": 11211
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2446642745380192e-05,
+      "loss": 0.8578,
+      "step": 11212
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2445414008496492e-05,
+      "loss": 0.7483,
+      "step": 11213
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2444185232342505e-05,
+      "loss": 0.8104,
+      "step": 11214
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2442956416937967e-05,
+      "loss": 0.8416,
+      "step": 11215
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2441727562302612e-05,
+      "loss": 0.8035,
+      "step": 11216
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2440498668456169e-05,
+      "loss": 0.7644,
+      "step": 11217
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2439269735418377e-05,
+      "loss": 0.7609,
+      "step": 11218
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2438040763208967e-05,
+      "loss": 0.7915,
+      "step": 11219
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2436811751847682e-05,
+      "loss": 0.8293,
+      "step": 11220
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.243558270135425e-05,
+      "loss": 0.8409,
+      "step": 11221
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2434353611748415e-05,
+      "loss": 0.8626,
+      "step": 11222
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2433124483049907e-05,
+      "loss": 0.8878,
+      "step": 11223
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2431895315278473e-05,
+      "loss": 0.8105,
+      "step": 11224
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2430666108453848e-05,
+      "loss": 0.7849,
+      "step": 11225
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2429436862595767e-05,
+      "loss": 0.7561,
+      "step": 11226
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2428207577723977e-05,
+      "loss": 0.7773,
+      "step": 11227
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2426978253858215e-05,
+      "loss": 0.758,
+      "step": 11228
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2425748891018223e-05,
+      "loss": 0.9002,
+      "step": 11229
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2424519489223743e-05,
+      "loss": 0.8013,
+      "step": 11230
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2423290048494521e-05,
+      "loss": 0.8846,
+      "step": 11231
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2422060568850293e-05,
+      "loss": 0.7711,
+      "step": 11232
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2420831050310812e-05,
+      "loss": 0.8767,
+      "step": 11233
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2419601492895816e-05,
+      "loss": 0.7757,
+      "step": 11234
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2418371896625053e-05,
+      "loss": 0.8398,
+      "step": 11235
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2417142261518265e-05,
+      "loss": 0.66,
+      "step": 11236
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2415912587595202e-05,
+      "loss": 0.771,
+      "step": 11237
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2414682874875612e-05,
+      "loss": 0.8449,
+      "step": 11238
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2413453123379238e-05,
+      "loss": 0.733,
+      "step": 11239
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2412223333125833e-05,
+      "loss": 0.7559,
+      "step": 11240
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2410993504135143e-05,
+      "loss": 0.8926,
+      "step": 11241
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2409763636426919e-05,
+      "loss": 0.8397,
+      "step": 11242
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.240853373002091e-05,
+      "loss": 0.7806,
+      "step": 11243
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2407303784936868e-05,
+      "loss": 0.7031,
+      "step": 11244
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2406073801194546e-05,
+      "loss": 0.8703,
+      "step": 11245
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2404843778813689e-05,
+      "loss": 0.8002,
+      "step": 11246
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2403613717814058e-05,
+      "loss": 0.8518,
+      "step": 11247
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.24023836182154e-05,
+      "loss": 0.7341,
+      "step": 11248
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2401153480037473e-05,
+      "loss": 0.7332,
+      "step": 11249
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2399923303300028e-05,
+      "loss": 0.7387,
+      "step": 11250
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2398693088022827e-05,
+      "loss": 0.7649,
+      "step": 11251
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2397462834225618e-05,
+      "loss": 0.7006,
+      "step": 11252
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2396232541928157e-05,
+      "loss": 0.9653,
+      "step": 11253
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2395002211150207e-05,
+      "loss": 0.8278,
+      "step": 11254
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2393771841911524e-05,
+      "loss": 0.811,
+      "step": 11255
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2392541434231861e-05,
+      "loss": 0.7606,
+      "step": 11256
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2391310988130983e-05,
+      "loss": 0.8472,
+      "step": 11257
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2390080503628647e-05,
+      "loss": 0.8578,
+      "step": 11258
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2388849980744613e-05,
+      "loss": 0.8961,
+      "step": 11259
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2387619419498642e-05,
+      "loss": 0.8811,
+      "step": 11260
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2386388819910493e-05,
+      "loss": 0.7381,
+      "step": 11261
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2385158181999933e-05,
+      "loss": 0.8452,
+      "step": 11262
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.238392750578672e-05,
+      "loss": 0.711,
+      "step": 11263
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2382696791290615e-05,
+      "loss": 0.835,
+      "step": 11264
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2381466038531388e-05,
+      "loss": 0.7344,
+      "step": 11265
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.23802352475288e-05,
+      "loss": 0.8404,
+      "step": 11266
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.237900441830262e-05,
+      "loss": 0.893,
+      "step": 11267
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2377773550872605e-05,
+      "loss": 0.864,
+      "step": 11268
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.237654264525853e-05,
+      "loss": 0.8352,
+      "step": 11269
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2375311701480156e-05,
+      "loss": 0.7079,
+      "step": 11270
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2374080719557253e-05,
+      "loss": 0.8487,
+      "step": 11271
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.237284969950959e-05,
+      "loss": 0.7534,
+      "step": 11272
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2371618641356933e-05,
+      "loss": 0.7813,
+      "step": 11273
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2370387545119052e-05,
+      "loss": 0.837,
+      "step": 11274
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2369156410815717e-05,
+      "loss": 0.8144,
+      "step": 11275
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.23679252384667e-05,
+      "loss": 0.8474,
+      "step": 11276
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.236669402809177e-05,
+      "loss": 0.7509,
+      "step": 11277
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2365462779710699e-05,
+      "loss": 0.9297,
+      "step": 11278
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2364231493343262e-05,
+      "loss": 0.7395,
+      "step": 11279
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2363000169009228e-05,
+      "loss": 1.0045,
+      "step": 11280
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2361768806728372e-05,
+      "loss": 0.8587,
+      "step": 11281
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.236053740652047e-05,
+      "loss": 0.7554,
+      "step": 11282
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2359305968405295e-05,
+      "loss": 1.0206,
+      "step": 11283
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.235807449240262e-05,
+      "loss": 0.6965,
+      "step": 11284
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2356842978532227e-05,
+      "loss": 0.8753,
+      "step": 11285
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2355611426813886e-05,
+      "loss": 0.7315,
+      "step": 11286
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2354379837267378e-05,
+      "loss": 0.7965,
+      "step": 11287
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.235314820991248e-05,
+      "loss": 0.6922,
+      "step": 11288
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2351916544768972e-05,
+      "loss": 0.8733,
+      "step": 11289
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.235068484185663e-05,
+      "loss": 0.813,
+      "step": 11290
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2349453101195237e-05,
+      "loss": 0.7317,
+      "step": 11291
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.234822132280457e-05,
+      "loss": 0.8284,
+      "step": 11292
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.234698950670441e-05,
+      "loss": 0.6964,
+      "step": 11293
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2345757652914541e-05,
+      "loss": 0.7389,
+      "step": 11294
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2344525761454742e-05,
+      "loss": 0.6201,
+      "step": 11295
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2343293832344798e-05,
+      "loss": 0.6876,
+      "step": 11296
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2342061865604492e-05,
+      "loss": 0.6763,
+      "step": 11297
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2340829861253605e-05,
+      "loss": 0.8641,
+      "step": 11298
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2339597819311925e-05,
+      "loss": 0.8402,
+      "step": 11299
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2338365739799236e-05,
+      "loss": 0.6982,
+      "step": 11300
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2337133622735324e-05,
+      "loss": 0.832,
+      "step": 11301
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2335901468139974e-05,
+      "loss": 0.7685,
+      "step": 11302
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2334669276032971e-05,
+      "loss": 0.8108,
+      "step": 11303
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.233343704643411e-05,
+      "loss": 0.8833,
+      "step": 11304
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2332204779363171e-05,
+      "loss": 0.9174,
+      "step": 11305
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2330972474839944e-05,
+      "loss": 0.8721,
+      "step": 11306
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2329740132884222e-05,
+      "loss": 0.8375,
+      "step": 11307
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2328507753515793e-05,
+      "loss": 0.7951,
+      "step": 11308
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2327275336754448e-05,
+      "loss": 0.9811,
+      "step": 11309
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2326042882619973e-05,
+      "loss": 0.7649,
+      "step": 11310
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.232481039113217e-05,
+      "loss": 0.683,
+      "step": 11311
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2323577862310823e-05,
+      "loss": 0.8851,
+      "step": 11312
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2322345296175724e-05,
+      "loss": 0.7872,
+      "step": 11313
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2321112692746673e-05,
+      "loss": 0.8798,
+      "step": 11314
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2319880052043458e-05,
+      "loss": 0.8545,
+      "step": 11315
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2318647374085878e-05,
+      "loss": 0.9957,
+      "step": 11316
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2317414658893728e-05,
+      "loss": 0.8328,
+      "step": 11317
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2316181906486802e-05,
+      "loss": 0.85,
+      "step": 11318
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2314949116884894e-05,
+      "loss": 0.8946,
+      "step": 11319
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2313716290107806e-05,
+      "loss": 0.8107,
+      "step": 11320
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2312483426175337e-05,
+      "loss": 0.813,
+      "step": 11321
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2311250525107276e-05,
+      "loss": 0.8482,
+      "step": 11322
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2310017586923431e-05,
+      "loss": 0.7751,
+      "step": 11323
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2308784611643597e-05,
+      "loss": 0.8309,
+      "step": 11324
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2307551599287577e-05,
+      "loss": 0.7696,
+      "step": 11325
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2306318549875167e-05,
+      "loss": 0.6722,
+      "step": 11326
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2305085463426173e-05,
+      "loss": 0.7045,
+      "step": 11327
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2303852339960393e-05,
+      "loss": 0.8716,
+      "step": 11328
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2302619179497635e-05,
+      "loss": 0.7347,
+      "step": 11329
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2301385982057696e-05,
+      "loss": 0.8452,
+      "step": 11330
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2300152747660382e-05,
+      "loss": 0.784,
+      "step": 11331
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2298919476325497e-05,
+      "loss": 0.8855,
+      "step": 11332
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2297686168072844e-05,
+      "loss": 0.7699,
+      "step": 11333
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2296452822922234e-05,
+      "loss": 0.6105,
+      "step": 11334
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2295219440893467e-05,
+      "loss": 0.7668,
+      "step": 11335
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2293986022006353e-05,
+      "loss": 0.762,
+      "step": 11336
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2292752566280696e-05,
+      "loss": 0.8041,
+      "step": 11337
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2291519073736308e-05,
+      "loss": 0.7267,
+      "step": 11338
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2290285544392992e-05,
+      "loss": 0.8593,
+      "step": 11339
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2289051978270565e-05,
+      "loss": 0.8864,
+      "step": 11340
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.228781837538883e-05,
+      "loss": 0.7024,
+      "step": 11341
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2286584735767595e-05,
+      "loss": 0.6814,
+      "step": 11342
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.228535105942668e-05,
+      "loss": 0.801,
+      "step": 11343
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2284117346385887e-05,
+      "loss": 0.872,
+      "step": 11344
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2282883596665032e-05,
+      "loss": 0.6763,
+      "step": 11345
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2281649810283928e-05,
+      "loss": 0.8124,
+      "step": 11346
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2280415987262387e-05,
+      "loss": 0.8207,
+      "step": 11347
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2279182127620221e-05,
+      "loss": 0.7522,
+      "step": 11348
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2277948231377247e-05,
+      "loss": 0.8259,
+      "step": 11349
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2276714298553283e-05,
+      "loss": 0.963,
+      "step": 11350
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2275480329168135e-05,
+      "loss": 0.5995,
+      "step": 11351
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2274246323241626e-05,
+      "loss": 0.7487,
+      "step": 11352
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2273012280793569e-05,
+      "loss": 0.7856,
+      "step": 11353
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2271778201843785e-05,
+      "loss": 0.7395,
+      "step": 11354
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2270544086412088e-05,
+      "loss": 0.7505,
+      "step": 11355
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.22693099345183e-05,
+      "loss": 0.9888,
+      "step": 11356
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2268075746182237e-05,
+      "loss": 0.7102,
+      "step": 11357
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.226684152142372e-05,
+      "loss": 0.9504,
+      "step": 11358
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2265607260262571e-05,
+      "loss": 0.7931,
+      "step": 11359
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2264372962718602e-05,
+      "loss": 0.8957,
+      "step": 11360
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2263138628811648e-05,
+      "loss": 0.9222,
+      "step": 11361
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.226190425856152e-05,
+      "loss": 0.839,
+      "step": 11362
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2260669851988042e-05,
+      "loss": 0.8273,
+      "step": 11363
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.225943540911104e-05,
+      "loss": 0.6729,
+      "step": 11364
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.225820092995034e-05,
+      "loss": 0.8833,
+      "step": 11365
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.225696641452576e-05,
+      "loss": 0.8678,
+      "step": 11366
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2255731862857127e-05,
+      "loss": 0.8426,
+      "step": 11367
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2254497274964268e-05,
+      "loss": 0.8046,
+      "step": 11368
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2253262650867008e-05,
+      "loss": 0.817,
+      "step": 11369
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2252027990585173e-05,
+      "loss": 0.7205,
+      "step": 11370
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.225079329413859e-05,
+      "loss": 0.763,
+      "step": 11371
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2249558561547088e-05,
+      "loss": 0.8991,
+      "step": 11372
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2248323792830493e-05,
+      "loss": 0.9235,
+      "step": 11373
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2247088988008636e-05,
+      "loss": 0.8155,
+      "step": 11374
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2245854147101344e-05,
+      "loss": 0.8729,
+      "step": 11375
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2244619270128451e-05,
+      "loss": 0.8964,
+      "step": 11376
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2243384357109785e-05,
+      "loss": 0.8404,
+      "step": 11377
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2242149408065176e-05,
+      "loss": 0.8951,
+      "step": 11378
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2240914423014457e-05,
+      "loss": 0.7571,
+      "step": 11379
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2239679401977462e-05,
+      "loss": 0.8695,
+      "step": 11380
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2238444344974024e-05,
+      "loss": 0.8696,
+      "step": 11381
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2237209252023969e-05,
+      "loss": 0.8377,
+      "step": 11382
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.223597412314714e-05,
+      "loss": 0.9575,
+      "step": 11383
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2234738958363369e-05,
+      "loss": 0.7194,
+      "step": 11384
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2233503757692492e-05,
+      "loss": 0.7733,
+      "step": 11385
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.223226852115434e-05,
+      "loss": 0.7342,
+      "step": 11386
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2231033248768752e-05,
+      "loss": 0.8203,
+      "step": 11387
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.222979794055557e-05,
+      "loss": 0.8385,
+      "step": 11388
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2228562596534625e-05,
+      "loss": 0.7624,
+      "step": 11389
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2227327216725758e-05,
+      "loss": 0.9615,
+      "step": 11390
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2226091801148807e-05,
+      "loss": 0.8671,
+      "step": 11391
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2224856349823611e-05,
+      "loss": 0.7692,
+      "step": 11392
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2223620862770007e-05,
+      "loss": 0.7968,
+      "step": 11393
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.222238534000784e-05,
+      "loss": 0.7143,
+      "step": 11394
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2221149781556951e-05,
+      "loss": 0.8315,
+      "step": 11395
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2219914187437178e-05,
+      "loss": 0.8691,
+      "step": 11396
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2218678557668365e-05,
+      "loss": 0.8264,
+      "step": 11397
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2217442892270355e-05,
+      "loss": 0.8481,
+      "step": 11398
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2216207191262991e-05,
+      "loss": 0.7694,
+      "step": 11399
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2214971454666115e-05,
+      "loss": 0.883,
+      "step": 11400
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2213735682499578e-05,
+      "loss": 0.8981,
+      "step": 11401
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2212499874783213e-05,
+      "loss": 0.6732,
+      "step": 11402
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2211264031536876e-05,
+      "loss": 0.9582,
+      "step": 11403
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2210028152780408e-05,
+      "loss": 0.8215,
+      "step": 11404
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.220879223853366e-05,
+      "loss": 0.8091,
+      "step": 11405
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2207556288816474e-05,
+      "loss": 0.7465,
+      "step": 11406
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.22063203036487e-05,
+      "loss": 0.7917,
+      "step": 11407
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2205084283050188e-05,
+      "loss": 0.9007,
+      "step": 11408
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2203848227040784e-05,
+      "loss": 0.8115,
+      "step": 11409
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2202612135640341e-05,
+      "loss": 0.6967,
+      "step": 11410
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2201376008868707e-05,
+      "loss": 0.8142,
+      "step": 11411
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.220013984674573e-05,
+      "loss": 0.9078,
+      "step": 11412
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2198903649291265e-05,
+      "loss": 0.811,
+      "step": 11413
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2197667416525165e-05,
+      "loss": 0.786,
+      "step": 11414
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2196431148467278e-05,
+      "loss": 0.7876,
+      "step": 11415
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2195194845137462e-05,
+      "loss": 0.8487,
+      "step": 11416
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2193958506555566e-05,
+      "loss": 0.9164,
+      "step": 11417
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2192722132741443e-05,
+      "loss": 0.797,
+      "step": 11418
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2191485723714953e-05,
+      "loss": 0.9211,
+      "step": 11419
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2190249279495947e-05,
+      "loss": 0.8554,
+      "step": 11420
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2189012800104284e-05,
+      "loss": 0.7391,
+      "step": 11421
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2187776285559814e-05,
+      "loss": 0.9598,
+      "step": 11422
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2186539735882402e-05,
+      "loss": 0.7652,
+      "step": 11423
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.21853031510919e-05,
+      "loss": 0.8203,
+      "step": 11424
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2184066531208169e-05,
+      "loss": 0.8528,
+      "step": 11425
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2182829876251065e-05,
+      "loss": 0.8896,
+      "step": 11426
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.218159318624045e-05,
+      "loss": 0.8534,
+      "step": 11427
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2180356461196183e-05,
+      "loss": 0.8345,
+      "step": 11428
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.217911970113812e-05,
+      "loss": 0.5817,
+      "step": 11429
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.217788290608613e-05,
+      "loss": 0.9123,
+      "step": 11430
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2176646076060066e-05,
+      "loss": 0.7031,
+      "step": 11431
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2175409211079794e-05,
+      "loss": 0.7074,
+      "step": 11432
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2174172311165178e-05,
+      "loss": 0.8027,
+      "step": 11433
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2172935376336077e-05,
+      "loss": 0.7945,
+      "step": 11434
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2171698406612356e-05,
+      "loss": 0.8444,
+      "step": 11435
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2170461402013883e-05,
+      "loss": 0.9551,
+      "step": 11436
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2169224362560514e-05,
+      "loss": 0.7587,
+      "step": 11437
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2167987288272124e-05,
+      "loss": 0.9068,
+      "step": 11438
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2166750179168576e-05,
+      "loss": 0.7071,
+      "step": 11439
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2165513035269733e-05,
+      "loss": 0.6728,
+      "step": 11440
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2164275856595466e-05,
+      "loss": 0.8,
+      "step": 11441
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2163038643165636e-05,
+      "loss": 0.8347,
+      "step": 11442
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.216180139500012e-05,
+      "loss": 0.7799,
+      "step": 11443
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2160564112118781e-05,
+      "loss": 0.7703,
+      "step": 11444
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2159326794541492e-05,
+      "loss": 0.8885,
+      "step": 11445
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2158089442288121e-05,
+      "loss": 0.7381,
+      "step": 11446
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2156852055378534e-05,
+      "loss": 0.9709,
+      "step": 11447
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2155614633832609e-05,
+      "loss": 0.8671,
+      "step": 11448
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2154377177670211e-05,
+      "loss": 0.9726,
+      "step": 11449
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2153139686911217e-05,
+      "loss": 0.7103,
+      "step": 11450
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2151902161575496e-05,
+      "loss": 0.9121,
+      "step": 11451
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2150664601682924e-05,
+      "loss": 0.8818,
+      "step": 11452
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2149427007253372e-05,
+      "loss": 0.9571,
+      "step": 11453
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2148189378306718e-05,
+      "loss": 0.8048,
+      "step": 11454
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2146951714862834e-05,
+      "loss": 0.9067,
+      "step": 11455
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2145714016941594e-05,
+      "loss": 0.9261,
+      "step": 11456
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2144476284562878e-05,
+      "loss": 0.7795,
+      "step": 11457
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2143238517746558e-05,
+      "loss": 0.9107,
+      "step": 11458
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2142000716512517e-05,
+      "loss": 0.8743,
+      "step": 11459
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2140762880880623e-05,
+      "loss": 0.8664,
+      "step": 11460
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2139525010870763e-05,
+      "loss": 0.9065,
+      "step": 11461
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.213828710650281e-05,
+      "loss": 0.8462,
+      "step": 11462
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2137049167796649e-05,
+      "loss": 0.8428,
+      "step": 11463
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2135811194772152e-05,
+      "loss": 0.7824,
+      "step": 11464
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2134573187449206e-05,
+      "loss": 0.7518,
+      "step": 11465
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2133335145847691e-05,
+      "loss": 0.772,
+      "step": 11466
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2132097069987483e-05,
+      "loss": 0.8905,
+      "step": 11467
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2130858959888469e-05,
+      "loss": 0.8344,
+      "step": 11468
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2129620815570531e-05,
+      "loss": 0.7374,
+      "step": 11469
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2128382637053552e-05,
+      "loss": 0.9378,
+      "step": 11470
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2127144424357413e-05,
+      "loss": 0.8976,
+      "step": 11471
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2125906177502002e-05,
+      "loss": 0.903,
+      "step": 11472
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2124667896507199e-05,
+      "loss": 0.8194,
+      "step": 11473
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2123429581392894e-05,
+      "loss": 0.8862,
+      "step": 11474
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2122191232178972e-05,
+      "loss": 0.965,
+      "step": 11475
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2120952848885315e-05,
+      "loss": 0.821,
+      "step": 11476
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2119714431531814e-05,
+      "loss": 0.8295,
+      "step": 11477
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2118475980138358e-05,
+      "loss": 0.9295,
+      "step": 11478
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.211723749472483e-05,
+      "loss": 0.7961,
+      "step": 11479
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.211599897531112e-05,
+      "loss": 0.8897,
+      "step": 11480
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.211476042191712e-05,
+      "loss": 0.8907,
+      "step": 11481
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2113521834562716e-05,
+      "loss": 0.8714,
+      "step": 11482
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2112283213267801e-05,
+      "loss": 0.877,
+      "step": 11483
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2111044558052263e-05,
+      "loss": 0.6521,
+      "step": 11484
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2109805868935995e-05,
+      "loss": 0.7298,
+      "step": 11485
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.210856714593889e-05,
+      "loss": 0.9155,
+      "step": 11486
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2107328389080837e-05,
+      "loss": 0.8312,
+      "step": 11487
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2106089598381732e-05,
+      "loss": 0.8261,
+      "step": 11488
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2104850773861466e-05,
+      "loss": 0.8669,
+      "step": 11489
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2103611915539934e-05,
+      "loss": 0.9327,
+      "step": 11490
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2102373023437031e-05,
+      "loss": 0.7458,
+      "step": 11491
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2101134097572654e-05,
+      "loss": 0.8709,
+      "step": 11492
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.209989513796669e-05,
+      "loss": 0.877,
+      "step": 11493
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2098656144639047e-05,
+      "loss": 0.738,
+      "step": 11494
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2097417117609615e-05,
+      "loss": 0.7013,
+      "step": 11495
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.209617805689829e-05,
+      "loss": 0.9324,
+      "step": 11496
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2094938962524975e-05,
+      "loss": 0.8314,
+      "step": 11497
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2093699834509565e-05,
+      "loss": 0.7995,
+      "step": 11498
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2092460672871959e-05,
+      "loss": 0.845,
+      "step": 11499
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2091221477632056e-05,
+      "loss": 0.7887,
+      "step": 11500
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2089982248809755e-05,
+      "loss": 0.7285,
+      "step": 11501
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.208874298642496e-05,
+      "loss": 0.8026,
+      "step": 11502
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2087503690497571e-05,
+      "loss": 0.8303,
+      "step": 11503
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2086264361047487e-05,
+      "loss": 0.9639,
+      "step": 11504
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.208502499809461e-05,
+      "loss": 0.7981,
+      "step": 11505
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2083785601658846e-05,
+      "loss": 0.8561,
+      "step": 11506
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2082546171760097e-05,
+      "loss": 0.7407,
+      "step": 11507
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2081306708418266e-05,
+      "loss": 0.8171,
+      "step": 11508
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2080067211653255e-05,
+      "loss": 0.8789,
+      "step": 11509
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2078827681484973e-05,
+      "loss": 0.6863,
+      "step": 11510
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2077588117933324e-05,
+      "loss": 0.9587,
+      "step": 11511
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.207634852101821e-05,
+      "loss": 0.8631,
+      "step": 11512
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2075108890759543e-05,
+      "loss": 0.7523,
+      "step": 11513
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2073869227177228e-05,
+      "loss": 0.8348,
+      "step": 11514
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2072629530291171e-05,
+      "loss": 0.8552,
+      "step": 11515
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.207138980012128e-05,
+      "loss": 0.8704,
+      "step": 11516
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2070150036687467e-05,
+      "loss": 0.8642,
+      "step": 11517
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2068910240009636e-05,
+      "loss": 0.8733,
+      "step": 11518
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.20676704101077e-05,
+      "loss": 0.8438,
+      "step": 11519
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.206643054700157e-05,
+      "loss": 0.8837,
+      "step": 11520
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2065190650711151e-05,
+      "loss": 0.9585,
+      "step": 11521
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.206395072125636e-05,
+      "loss": 0.8261,
+      "step": 11522
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2062710758657109e-05,
+      "loss": 0.785,
+      "step": 11523
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2061470762933305e-05,
+      "loss": 0.7768,
+      "step": 11524
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2060230734104864e-05,
+      "loss": 0.7661,
+      "step": 11525
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.20589906721917e-05,
+      "loss": 0.7196,
+      "step": 11526
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2057750577213726e-05,
+      "loss": 0.8375,
+      "step": 11527
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2056510449190855e-05,
+      "loss": 0.671,
+      "step": 11528
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2055270288143001e-05,
+      "loss": 0.6981,
+      "step": 11529
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2054030094090086e-05,
+      "loss": 0.8142,
+      "step": 11530
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2052789867052018e-05,
+      "loss": 0.8405,
+      "step": 11531
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.205154960704872e-05,
+      "loss": 0.8205,
+      "step": 11532
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2050309314100107e-05,
+      "loss": 0.886,
+      "step": 11533
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.204906898822609e-05,
+      "loss": 0.8249,
+      "step": 11534
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2047828629446597e-05,
+      "loss": 0.9026,
+      "step": 11535
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.204658823778154e-05,
+      "loss": 0.9342,
+      "step": 11536
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2045347813250842e-05,
+      "loss": 0.797,
+      "step": 11537
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.204410735587442e-05,
+      "loss": 0.8217,
+      "step": 11538
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2042866865672195e-05,
+      "loss": 0.8085,
+      "step": 11539
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.204162634266409e-05,
+      "loss": 0.7319,
+      "step": 11540
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2040385786870023e-05,
+      "loss": 0.9102,
+      "step": 11541
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2039145198309916e-05,
+      "loss": 0.8417,
+      "step": 11542
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2037904577003693e-05,
+      "loss": 0.8356,
+      "step": 11543
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2036663922971279e-05,
+      "loss": 0.8505,
+      "step": 11544
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2035423236232591e-05,
+      "loss": 0.8545,
+      "step": 11545
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2034182516807559e-05,
+      "loss": 0.6104,
+      "step": 11546
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2032941764716102e-05,
+      "loss": 0.8556,
+      "step": 11547
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.203170097997815e-05,
+      "loss": 0.8287,
+      "step": 11548
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2030460162613624e-05,
+      "loss": 0.8488,
+      "step": 11549
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2029219312642453e-05,
+      "loss": 0.8062,
+      "step": 11550
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.202797843008456e-05,
+      "loss": 0.7414,
+      "step": 11551
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2026737514959881e-05,
+      "loss": 0.7323,
+      "step": 11552
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2025496567288335e-05,
+      "loss": 0.8071,
+      "step": 11553
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2024255587089848e-05,
+      "loss": 0.8816,
+      "step": 11554
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2023014574384358e-05,
+      "loss": 0.74,
+      "step": 11555
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2021773529191784e-05,
+      "loss": 0.8889,
+      "step": 11556
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2020532451532063e-05,
+      "loss": 0.7996,
+      "step": 11557
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2019291341425121e-05,
+      "loss": 0.8338,
+      "step": 11558
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2018050198890894e-05,
+      "loss": 0.8011,
+      "step": 11559
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2016809023949307e-05,
+      "loss": 0.8374,
+      "step": 11560
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2015567816620296e-05,
+      "loss": 0.8431,
+      "step": 11561
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2014326576923792e-05,
+      "loss": 0.7831,
+      "step": 11562
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2013085304879724e-05,
+      "loss": 0.7701,
+      "step": 11563
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2011844000508031e-05,
+      "loss": 0.8158,
+      "step": 11564
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2010602663828644e-05,
+      "loss": 0.8941,
+      "step": 11565
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2009361294861497e-05,
+      "loss": 0.7776,
+      "step": 11566
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2008119893626527e-05,
+      "loss": 0.7674,
+      "step": 11567
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2006878460143666e-05,
+      "loss": 0.6723,
+      "step": 11568
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2005636994432849e-05,
+      "loss": 0.8759,
+      "step": 11569
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2004395496514021e-05,
+      "loss": 0.7906,
+      "step": 11570
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2003153966407108e-05,
+      "loss": 0.8863,
+      "step": 11571
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2001912404132057e-05,
+      "loss": 0.6732,
+      "step": 11572
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.20006708097088e-05,
+      "loss": 0.8567,
+      "step": 11573
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1999429183157273e-05,
+      "loss": 0.8124,
+      "step": 11574
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1998187524497422e-05,
+      "loss": 0.9356,
+      "step": 11575
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1996945833749184e-05,
+      "loss": 0.8786,
+      "step": 11576
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1995704110932499e-05,
+      "loss": 0.8295,
+      "step": 11577
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.19944623560673e-05,
+      "loss": 0.8059,
+      "step": 11578
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.199322056917354e-05,
+      "loss": 0.6525,
+      "step": 11579
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1991978750271155e-05,
+      "loss": 0.8133,
+      "step": 11580
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1990736899380089e-05,
+      "loss": 0.8833,
+      "step": 11581
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.198949501652028e-05,
+      "loss": 0.7567,
+      "step": 11582
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1988253101711675e-05,
+      "loss": 0.6733,
+      "step": 11583
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1987011154974218e-05,
+      "loss": 0.8102,
+      "step": 11584
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1985769176327848e-05,
+      "loss": 0.837,
+      "step": 11585
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1984527165792517e-05,
+      "loss": 0.8108,
+      "step": 11586
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1983285123388163e-05,
+      "loss": 0.8154,
+      "step": 11587
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1982043049134739e-05,
+      "loss": 0.6671,
+      "step": 11588
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1980800943052184e-05,
+      "loss": 0.8494,
+      "step": 11589
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.197955880516045e-05,
+      "loss": 0.8083,
+      "step": 11590
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1978316635479483e-05,
+      "loss": 0.7301,
+      "step": 11591
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1977074434029228e-05,
+      "loss": 0.6966,
+      "step": 11592
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1975832200829635e-05,
+      "loss": 0.7394,
+      "step": 11593
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1974589935900651e-05,
+      "loss": 0.767,
+      "step": 11594
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1973347639262231e-05,
+      "loss": 0.6779,
+      "step": 11595
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1972105310934318e-05,
+      "loss": 0.8028,
+      "step": 11596
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1970862950936866e-05,
+      "loss": 0.7398,
+      "step": 11597
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1969620559289824e-05,
+      "loss": 0.7753,
+      "step": 11598
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1968378136013144e-05,
+      "loss": 0.7881,
+      "step": 11599
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1967135681126777e-05,
+      "loss": 0.7769,
+      "step": 11600
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1965893194650678e-05,
+      "loss": 0.733,
+      "step": 11601
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1964650676604796e-05,
+      "loss": 0.8331,
+      "step": 11602
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1963408127009087e-05,
+      "loss": 0.844,
+      "step": 11603
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1962165545883501e-05,
+      "loss": 0.9222,
+      "step": 11604
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1960922933247999e-05,
+      "loss": 1.0472,
+      "step": 11605
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.195968028912253e-05,
+      "loss": 0.8405,
+      "step": 11606
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.195843761352705e-05,
+      "loss": 0.744,
+      "step": 11607
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1957194906481517e-05,
+      "loss": 0.8531,
+      "step": 11608
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1955952168005889e-05,
+      "loss": 0.7323,
+      "step": 11609
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1954709398120117e-05,
+      "loss": 0.7937,
+      "step": 11610
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.195346659684416e-05,
+      "loss": 0.8434,
+      "step": 11611
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1952223764197984e-05,
+      "loss": 0.9803,
+      "step": 11612
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1950980900201532e-05,
+      "loss": 0.7608,
+      "step": 11613
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1949738004874779e-05,
+      "loss": 0.8439,
+      "step": 11614
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1948495078237673e-05,
+      "loss": 1.0202,
+      "step": 11615
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1947252120310175e-05,
+      "loss": 0.9574,
+      "step": 11616
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1946009131112252e-05,
+      "loss": 0.8067,
+      "step": 11617
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1944766110663858e-05,
+      "loss": 0.8009,
+      "step": 11618
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.194352305898496e-05,
+      "loss": 0.8077,
+      "step": 11619
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1942279976095518e-05,
+      "loss": 0.9165,
+      "step": 11620
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1941036862015491e-05,
+      "loss": 0.8287,
+      "step": 11621
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1939793716764845e-05,
+      "loss": 0.7398,
+      "step": 11622
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.193855054036354e-05,
+      "loss": 0.899,
+      "step": 11623
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1937307332831547e-05,
+      "loss": 0.9372,
+      "step": 11624
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1936064094188821e-05,
+      "loss": 0.8868,
+      "step": 11625
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1934820824455336e-05,
+      "loss": 0.7237,
+      "step": 11626
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.193357752365105e-05,
+      "loss": 0.839,
+      "step": 11627
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1932334191795934e-05,
+      "loss": 0.792,
+      "step": 11628
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.193109082890995e-05,
+      "loss": 0.8075,
+      "step": 11629
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.192984743501307e-05,
+      "loss": 0.8247,
+      "step": 11630
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1928604010125258e-05,
+      "loss": 0.881,
+      "step": 11631
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1927360554266478e-05,
+      "loss": 0.7896,
+      "step": 11632
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1926117067456709e-05,
+      "loss": 0.9416,
+      "step": 11633
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1924873549715907e-05,
+      "loss": 0.9015,
+      "step": 11634
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1923630001064052e-05,
+      "loss": 0.8497,
+      "step": 11635
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1922386421521108e-05,
+      "loss": 0.7858,
+      "step": 11636
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1921142811107048e-05,
+      "loss": 0.8714,
+      "step": 11637
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.191989916984184e-05,
+      "loss": 0.8856,
+      "step": 11638
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1918655497745459e-05,
+      "loss": 0.8007,
+      "step": 11639
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1917411794837876e-05,
+      "loss": 0.7531,
+      "step": 11640
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.191616806113906e-05,
+      "loss": 0.7463,
+      "step": 11641
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1914924296668986e-05,
+      "loss": 0.8313,
+      "step": 11642
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1913680501447626e-05,
+      "loss": 0.8342,
+      "step": 11643
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1912436675494958e-05,
+      "loss": 0.7004,
+      "step": 11644
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1911192818830952e-05,
+      "loss": 0.8556,
+      "step": 11645
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1909948931475585e-05,
+      "loss": 0.8118,
+      "step": 11646
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1908705013448832e-05,
+      "loss": 0.7685,
+      "step": 11647
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1907461064770667e-05,
+      "loss": 0.8469,
+      "step": 11648
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1906217085461068e-05,
+      "loss": 0.8981,
+      "step": 11649
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1904973075540013e-05,
+      "loss": 0.8723,
+      "step": 11650
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1903729035027474e-05,
+      "loss": 0.7523,
+      "step": 11651
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1902484963943433e-05,
+      "loss": 0.9205,
+      "step": 11652
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1901240862307868e-05,
+      "loss": 0.7681,
+      "step": 11653
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.189999673014076e-05,
+      "loss": 0.7393,
+      "step": 11654
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.189875256746208e-05,
+      "loss": 0.8097,
+      "step": 11655
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1897508374291817e-05,
+      "loss": 0.6751,
+      "step": 11656
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1896264150649948e-05,
+      "loss": 0.8532,
+      "step": 11657
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1895019896556447e-05,
+      "loss": 0.7494,
+      "step": 11658
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1893775612031306e-05,
+      "loss": 0.7012,
+      "step": 11659
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1892531297094502e-05,
+      "loss": 0.716,
+      "step": 11660
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1891286951766014e-05,
+      "loss": 0.7828,
+      "step": 11661
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.189004257606583e-05,
+      "loss": 0.8279,
+      "step": 11662
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1888798170013929e-05,
+      "loss": 0.9069,
+      "step": 11663
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1887553733630297e-05,
+      "loss": 0.7461,
+      "step": 11664
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1886309266934916e-05,
+      "loss": 0.846,
+      "step": 11665
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1885064769947774e-05,
+      "loss": 0.9456,
+      "step": 11666
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.188382024268885e-05,
+      "loss": 0.7129,
+      "step": 11667
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1882575685178136e-05,
+      "loss": 0.9333,
+      "step": 11668
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1881331097435619e-05,
+      "loss": 0.8507,
+      "step": 11669
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1880086479481277e-05,
+      "loss": 0.8484,
+      "step": 11670
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1878841831335103e-05,
+      "loss": 0.8811,
+      "step": 11671
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1877597153017084e-05,
+      "loss": 0.8025,
+      "step": 11672
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1876352444547208e-05,
+      "loss": 0.8106,
+      "step": 11673
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1875107705945461e-05,
+      "loss": 0.857,
+      "step": 11674
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1873862937231837e-05,
+      "loss": 0.8159,
+      "step": 11675
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.187261813842632e-05,
+      "loss": 0.6567,
+      "step": 11676
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1871373309548904e-05,
+      "loss": 0.8188,
+      "step": 11677
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1870128450619578e-05,
+      "loss": 0.8208,
+      "step": 11678
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.186888356165833e-05,
+      "loss": 0.9213,
+      "step": 11679
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1867638642685155e-05,
+      "loss": 0.7686,
+      "step": 11680
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1866393693720043e-05,
+      "loss": 0.7276,
+      "step": 11681
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1865148714782988e-05,
+      "loss": 0.7336,
+      "step": 11682
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.186390370589398e-05,
+      "loss": 0.8112,
+      "step": 11683
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1862658667073018e-05,
+      "loss": 0.8625,
+      "step": 11684
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1861413598340086e-05,
+      "loss": 0.7769,
+      "step": 11685
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.186016849971519e-05,
+      "loss": 0.8269,
+      "step": 11686
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1858923371218314e-05,
+      "loss": 0.6772,
+      "step": 11687
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.185767821286946e-05,
+      "loss": 0.8253,
+      "step": 11688
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1856433024688624e-05,
+      "loss": 0.7944,
+      "step": 11689
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1855187806695797e-05,
+      "loss": 0.7091,
+      "step": 11690
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.185394255891098e-05,
+      "loss": 0.8022,
+      "step": 11691
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1852697281354166e-05,
+      "loss": 0.8902,
+      "step": 11692
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1851451974045357e-05,
+      "loss": 0.7971,
+      "step": 11693
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.185020663700455e-05,
+      "loss": 0.8008,
+      "step": 11694
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1848961270251745e-05,
+      "loss": 0.947,
+      "step": 11695
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1847715873806935e-05,
+      "loss": 0.8091,
+      "step": 11696
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1846470447690124e-05,
+      "loss": 0.7227,
+      "step": 11697
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1845224991921313e-05,
+      "loss": 0.6716,
+      "step": 11698
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.18439795065205e-05,
+      "loss": 0.8283,
+      "step": 11699
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1842733991507687e-05,
+      "loss": 0.7495,
+      "step": 11700
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1841488446902876e-05,
+      "loss": 0.7912,
+      "step": 11701
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1840242872726066e-05,
+      "loss": 0.776,
+      "step": 11702
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.183899726899726e-05,
+      "loss": 0.7945,
+      "step": 11703
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1837751635736467e-05,
+      "loss": 0.8836,
+      "step": 11704
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1836505972963681e-05,
+      "loss": 0.8764,
+      "step": 11705
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1835260280698915e-05,
+      "loss": 0.8219,
+      "step": 11706
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1834014558962165e-05,
+      "loss": 0.7704,
+      "step": 11707
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.183276880777344e-05,
+      "loss": 0.7828,
+      "step": 11708
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1831523027152745e-05,
+      "loss": 0.6871,
+      "step": 11709
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1830277217120085e-05,
+      "loss": 0.798,
+      "step": 11710
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1829031377695465e-05,
+      "loss": 0.7415,
+      "step": 11711
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1827785508898895e-05,
+      "loss": 0.7574,
+      "step": 11712
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.182653961075038e-05,
+      "loss": 0.8671,
+      "step": 11713
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1825293683269928e-05,
+      "loss": 0.6445,
+      "step": 11714
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1824047726477546e-05,
+      "loss": 0.7687,
+      "step": 11715
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.182280174039324e-05,
+      "loss": 0.867,
+      "step": 11716
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1821555725037025e-05,
+      "loss": 0.8825,
+      "step": 11717
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.182030968042891e-05,
+      "loss": 0.7627,
+      "step": 11718
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1819063606588898e-05,
+      "loss": 0.7109,
+      "step": 11719
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1817817503537008e-05,
+      "loss": 0.7094,
+      "step": 11720
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1816571371293244e-05,
+      "loss": 0.6631,
+      "step": 11721
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1815325209877622e-05,
+      "loss": 0.8094,
+      "step": 11722
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1814079019310149e-05,
+      "loss": 0.7499,
+      "step": 11723
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1812832799610843e-05,
+      "loss": 0.899,
+      "step": 11724
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1811586550799712e-05,
+      "loss": 0.7678,
+      "step": 11725
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1810340272896772e-05,
+      "loss": 0.8564,
+      "step": 11726
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1809093965922035e-05,
+      "loss": 0.787,
+      "step": 11727
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1807847629895517e-05,
+      "loss": 0.9203,
+      "step": 11728
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1806601264837232e-05,
+      "loss": 0.8195,
+      "step": 11729
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.180535487076719e-05,
+      "loss": 0.9131,
+      "step": 11730
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1804108447705415e-05,
+      "loss": 0.8914,
+      "step": 11731
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1802861995671917e-05,
+      "loss": 0.7361,
+      "step": 11732
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1801615514686718e-05,
+      "loss": 0.986,
+      "step": 11733
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1800369004769827e-05,
+      "loss": 0.928,
+      "step": 11734
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1799122465941268e-05,
+      "loss": 0.84,
+      "step": 11735
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1797875898221058e-05,
+      "loss": 0.8406,
+      "step": 11736
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1796629301629213e-05,
+      "loss": 0.7982,
+      "step": 11737
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1795382676185751e-05,
+      "loss": 0.8958,
+      "step": 11738
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1794136021910694e-05,
+      "loss": 0.8397,
+      "step": 11739
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.179288933882406e-05,
+      "loss": 0.7899,
+      "step": 11740
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1791642626945872e-05,
+      "loss": 0.8466,
+      "step": 11741
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1790395886296146e-05,
+      "loss": 0.7189,
+      "step": 11742
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1789149116894907e-05,
+      "loss": 0.9022,
+      "step": 11743
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1787902318762174e-05,
+      "loss": 0.8534,
+      "step": 11744
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1786655491917971e-05,
+      "loss": 0.8029,
+      "step": 11745
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.178540863638232e-05,
+      "loss": 0.8443,
+      "step": 11746
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1784161752175243e-05,
+      "loss": 0.8612,
+      "step": 11747
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1782914839316764e-05,
+      "loss": 0.6835,
+      "step": 11748
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.178166789782691e-05,
+      "loss": 0.6729,
+      "step": 11749
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1780420927725695e-05,
+      "loss": 0.784,
+      "step": 11750
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1779173929033157e-05,
+      "loss": 0.7347,
+      "step": 11751
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.177792690176931e-05,
+      "loss": 0.7912,
+      "step": 11752
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.177667984595419e-05,
+      "loss": 0.7323,
+      "step": 11753
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1775432761607814e-05,
+      "loss": 0.6828,
+      "step": 11754
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1774185648750216e-05,
+      "loss": 0.763,
+      "step": 11755
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1772938507401417e-05,
+      "loss": 0.7636,
+      "step": 11756
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1771691337581447e-05,
+      "loss": 0.8063,
+      "step": 11757
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1770444139310337e-05,
+      "loss": 0.829,
+      "step": 11758
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.176919691260811e-05,
+      "loss": 0.8254,
+      "step": 11759
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1767949657494799e-05,
+      "loss": 0.8589,
+      "step": 11760
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1766702373990431e-05,
+      "loss": 0.7351,
+      "step": 11761
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1765455062115036e-05,
+      "loss": 0.7775,
+      "step": 11762
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1764207721888645e-05,
+      "loss": 0.9203,
+      "step": 11763
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1762960353331293e-05,
+      "loss": 0.7579,
+      "step": 11764
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1761712956463003e-05,
+      "loss": 0.888,
+      "step": 11765
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1760465531303808e-05,
+      "loss": 0.8608,
+      "step": 11766
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1759218077873746e-05,
+      "loss": 0.6269,
+      "step": 11767
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1757970596192845e-05,
+      "loss": 0.9204,
+      "step": 11768
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1756723086281141e-05,
+      "loss": 0.759,
+      "step": 11769
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1755475548158662e-05,
+      "loss": 0.8751,
+      "step": 11770
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.175422798184545e-05,
+      "loss": 0.821,
+      "step": 11771
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.175298038736153e-05,
+      "loss": 0.758,
+      "step": 11772
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1751732764726944e-05,
+      "loss": 0.7907,
+      "step": 11773
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1750485113961725e-05,
+      "loss": 0.7507,
+      "step": 11774
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1749237435085909e-05,
+      "loss": 0.9019,
+      "step": 11775
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1747989728119532e-05,
+      "loss": 0.6595,
+      "step": 11776
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1746741993082628e-05,
+      "loss": 0.8148,
+      "step": 11777
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1745494229995237e-05,
+      "loss": 0.9511,
+      "step": 11778
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1744246438877395e-05,
+      "loss": 0.7388,
+      "step": 11779
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1742998619749144e-05,
+      "loss": 0.8212,
+      "step": 11780
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1741750772630518e-05,
+      "loss": 0.9287,
+      "step": 11781
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1740502897541557e-05,
+      "loss": 0.7485,
+      "step": 11782
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1739254994502299e-05,
+      "loss": 0.7491,
+      "step": 11783
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1738007063532788e-05,
+      "loss": 0.9174,
+      "step": 11784
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1736759104653062e-05,
+      "loss": 0.8894,
+      "step": 11785
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1735511117883156e-05,
+      "loss": 0.7503,
+      "step": 11786
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.173426310324312e-05,
+      "loss": 0.8332,
+      "step": 11787
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1733015060752993e-05,
+      "loss": 0.822,
+      "step": 11788
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1731766990432812e-05,
+      "loss": 0.7993,
+      "step": 11789
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1730518892302625e-05,
+      "loss": 0.8917,
+      "step": 11790
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1729270766382474e-05,
+      "loss": 0.7482,
+      "step": 11791
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1728022612692397e-05,
+      "loss": 0.7333,
+      "step": 11792
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1726774431252447e-05,
+      "loss": 0.7706,
+      "step": 11793
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1725526222082663e-05,
+      "loss": 0.8885,
+      "step": 11794
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1724277985203087e-05,
+      "loss": 0.8719,
+      "step": 11795
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1723029720633772e-05,
+      "loss": 0.7072,
+      "step": 11796
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1721781428394755e-05,
+      "loss": 0.854,
+      "step": 11797
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1720533108506085e-05,
+      "loss": 0.8492,
+      "step": 11798
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1719284760987811e-05,
+      "loss": 0.7381,
+      "step": 11799
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.171803638585998e-05,
+      "loss": 0.7693,
+      "step": 11800
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1716787983142633e-05,
+      "loss": 0.8486,
+      "step": 11801
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1715539552855823e-05,
+      "loss": 0.7922,
+      "step": 11802
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1714291095019598e-05,
+      "loss": 0.8847,
+      "step": 11803
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1713042609654008e-05,
+      "loss": 0.86,
+      "step": 11804
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1711794096779102e-05,
+      "loss": 0.8438,
+      "step": 11805
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1710545556414922e-05,
+      "loss": 0.7875,
+      "step": 11806
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1709296988581528e-05,
+      "loss": 0.9304,
+      "step": 11807
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1708048393298965e-05,
+      "loss": 0.9108,
+      "step": 11808
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1706799770587287e-05,
+      "loss": 0.8064,
+      "step": 11809
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1705551120466541e-05,
+      "loss": 0.8911,
+      "step": 11810
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1704302442956784e-05,
+      "loss": 0.8387,
+      "step": 11811
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.170305373807806e-05,
+      "loss": 0.8735,
+      "step": 11812
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1701805005850434e-05,
+      "loss": 0.7543,
+      "step": 11813
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1700556246293948e-05,
+      "loss": 0.8666,
+      "step": 11814
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1699307459428657e-05,
+      "loss": 0.8137,
+      "step": 11815
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1698058645274623e-05,
+      "loss": 0.814,
+      "step": 11816
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1696809803851891e-05,
+      "loss": 0.7626,
+      "step": 11817
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1695560935180523e-05,
+      "loss": 0.7584,
+      "step": 11818
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1694312039280567e-05,
+      "loss": 0.7943,
+      "step": 11819
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1693063116172087e-05,
+      "loss": 0.8468,
+      "step": 11820
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.169181416587513e-05,
+      "loss": 0.8562,
+      "step": 11821
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1690565188409764e-05,
+      "loss": 0.7366,
+      "step": 11822
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1689316183796035e-05,
+      "loss": 0.8601,
+      "step": 11823
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1688067152054005e-05,
+      "loss": 0.8047,
+      "step": 11824
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1686818093203733e-05,
+      "loss": 0.9053,
+      "step": 11825
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1685569007265277e-05,
+      "loss": 0.8499,
+      "step": 11826
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1684319894258693e-05,
+      "loss": 0.8537,
+      "step": 11827
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1683070754204043e-05,
+      "loss": 0.8067,
+      "step": 11828
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1681821587121385e-05,
+      "loss": 0.8536,
+      "step": 11829
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.168057239303078e-05,
+      "loss": 0.8899,
+      "step": 11830
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1679323171952287e-05,
+      "loss": 0.8857,
+      "step": 11831
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.167807392390597e-05,
+      "loss": 0.7423,
+      "step": 11832
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.167682464891189e-05,
+      "loss": 0.7484,
+      "step": 11833
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1675575346990105e-05,
+      "loss": 0.9472,
+      "step": 11834
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.167432601816068e-05,
+      "loss": 0.7068,
+      "step": 11835
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1673076662443678e-05,
+      "loss": 0.8075,
+      "step": 11836
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.167182727985916e-05,
+      "loss": 0.8384,
+      "step": 11837
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1670577870427191e-05,
+      "loss": 0.8152,
+      "step": 11838
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1669328434167835e-05,
+      "loss": 0.8867,
+      "step": 11839
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1668078971101155e-05,
+      "loss": 0.7344,
+      "step": 11840
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.166682948124722e-05,
+      "loss": 0.918,
+      "step": 11841
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.166557996462609e-05,
+      "loss": 0.76,
+      "step": 11842
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1664330421257835e-05,
+      "loss": 0.8104,
+      "step": 11843
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1663080851162515e-05,
+      "loss": 0.9069,
+      "step": 11844
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1661831254360203e-05,
+      "loss": 0.8639,
+      "step": 11845
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1660581630870962e-05,
+      "loss": 0.8318,
+      "step": 11846
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1659331980714863e-05,
+      "loss": 0.8136,
+      "step": 11847
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1658082303911969e-05,
+      "loss": 0.8319,
+      "step": 11848
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1656832600482354e-05,
+      "loss": 0.7943,
+      "step": 11849
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1655582870446081e-05,
+      "loss": 0.7214,
+      "step": 11850
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1654333113823222e-05,
+      "loss": 0.7028,
+      "step": 11851
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1653083330633848e-05,
+      "loss": 0.6791,
+      "step": 11852
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1651833520898023e-05,
+      "loss": 0.773,
+      "step": 11853
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1650583684635828e-05,
+      "loss": 0.9219,
+      "step": 11854
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1649333821867321e-05,
+      "loss": 0.6955,
+      "step": 11855
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1648083932612584e-05,
+      "loss": 0.7811,
+      "step": 11856
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1646834016891682e-05,
+      "loss": 0.7771,
+      "step": 11857
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.164558407472469e-05,
+      "loss": 0.8451,
+      "step": 11858
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1644334106131678e-05,
+      "loss": 0.7958,
+      "step": 11859
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1643084111132723e-05,
+      "loss": 0.7372,
+      "step": 11860
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1641834089747895e-05,
+      "loss": 0.8991,
+      "step": 11861
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1640584041997269e-05,
+      "loss": 0.8336,
+      "step": 11862
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1639333967900921e-05,
+      "loss": 0.6967,
+      "step": 11863
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.163808386747892e-05,
+      "loss": 0.7713,
+      "step": 11864
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1636833740751348e-05,
+      "loss": 0.819,
+      "step": 11865
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1635583587738276e-05,
+      "loss": 0.7407,
+      "step": 11866
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1634333408459782e-05,
+      "loss": 0.9227,
+      "step": 11867
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1633083202935937e-05,
+      "loss": 0.9016,
+      "step": 11868
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1631832971186827e-05,
+      "loss": 0.7767,
+      "step": 11869
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1630582713232524e-05,
+      "loss": 0.9297,
+      "step": 11870
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1629332429093103e-05,
+      "loss": 0.8708,
+      "step": 11871
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1628082118788648e-05,
+      "loss": 0.7954,
+      "step": 11872
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1626831782339232e-05,
+      "loss": 0.803,
+      "step": 11873
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1625581419764938e-05,
+      "loss": 0.8496,
+      "step": 11874
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1624331031085843e-05,
+      "loss": 0.9672,
+      "step": 11875
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1623080616322024e-05,
+      "loss": 0.9272,
+      "step": 11876
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.162183017549357e-05,
+      "loss": 0.9601,
+      "step": 11877
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1620579708620551e-05,
+      "loss": 0.761,
+      "step": 11878
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1619329215723052e-05,
+      "loss": 0.7071,
+      "step": 11879
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1618078696821157e-05,
+      "loss": 0.8034,
+      "step": 11880
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1616828151934944e-05,
+      "loss": 0.6833,
+      "step": 11881
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.16155775810845e-05,
+      "loss": 0.9002,
+      "step": 11882
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1614326984289902e-05,
+      "loss": 0.9098,
+      "step": 11883
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1613076361571236e-05,
+      "loss": 0.7869,
+      "step": 11884
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1611825712948588e-05,
+      "loss": 0.8277,
+      "step": 11885
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1610575038442033e-05,
+      "loss": 0.8335,
+      "step": 11886
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1609324338071666e-05,
+      "loss": 0.7886,
+      "step": 11887
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1608073611857562e-05,
+      "loss": 0.7826,
+      "step": 11888
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1606822859819815e-05,
+      "loss": 0.7157,
+      "step": 11889
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1605572081978504e-05,
+      "loss": 0.7725,
+      "step": 11890
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1604321278353718e-05,
+      "loss": 0.83,
+      "step": 11891
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1603070448965543e-05,
+      "loss": 0.879,
+      "step": 11892
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1601819593834066e-05,
+      "loss": 0.8077,
+      "step": 11893
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1600568712979371e-05,
+      "loss": 0.6995,
+      "step": 11894
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1599317806421548e-05,
+      "loss": 0.8928,
+      "step": 11895
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1598066874180689e-05,
+      "loss": 0.8073,
+      "step": 11896
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1596815916276876e-05,
+      "loss": 0.756,
+      "step": 11897
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.15955649327302e-05,
+      "loss": 0.8022,
+      "step": 11898
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.159431392356075e-05,
+      "loss": 1.0256,
+      "step": 11899
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1593062888788617e-05,
+      "loss": 0.8027,
+      "step": 11900
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1591811828433892e-05,
+      "loss": 0.6771,
+      "step": 11901
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1590560742516662e-05,
+      "loss": 0.8481,
+      "step": 11902
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1589309631057019e-05,
+      "loss": 0.9058,
+      "step": 11903
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1588058494075054e-05,
+      "loss": 0.8661,
+      "step": 11904
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1586807331590864e-05,
+      "loss": 0.831,
+      "step": 11905
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1585556143624532e-05,
+      "loss": 0.782,
+      "step": 11906
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1584304930196158e-05,
+      "loss": 0.8963,
+      "step": 11907
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1583053691325829e-05,
+      "loss": 0.9379,
+      "step": 11908
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1581802427033644e-05,
+      "loss": 0.8556,
+      "step": 11909
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1580551137339696e-05,
+      "loss": 0.8562,
+      "step": 11910
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1579299822264073e-05,
+      "loss": 0.9022,
+      "step": 11911
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1578048481826875e-05,
+      "loss": 0.7909,
+      "step": 11912
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1576797116048195e-05,
+      "loss": 0.9724,
+      "step": 11913
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1575545724948131e-05,
+      "loss": 0.7666,
+      "step": 11914
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1574294308546776e-05,
+      "loss": 0.7949,
+      "step": 11915
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1573042866864229e-05,
+      "loss": 0.8739,
+      "step": 11916
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1571791399920582e-05,
+      "loss": 0.8037,
+      "step": 11917
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1570539907735937e-05,
+      "loss": 0.9285,
+      "step": 11918
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1569288390330389e-05,
+      "loss": 0.8204,
+      "step": 11919
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1568036847724033e-05,
+      "loss": 0.994,
+      "step": 11920
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1566785279936972e-05,
+      "loss": 0.8913,
+      "step": 11921
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1565533686989302e-05,
+      "loss": 0.7997,
+      "step": 11922
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1564282068901125e-05,
+      "loss": 0.8609,
+      "step": 11923
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1563030425692536e-05,
+      "loss": 0.7714,
+      "step": 11924
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1561778757383639e-05,
+      "loss": 0.7582,
+      "step": 11925
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.156052706399453e-05,
+      "loss": 0.8926,
+      "step": 11926
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1559275345545312e-05,
+      "loss": 0.839,
+      "step": 11927
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1558023602056085e-05,
+      "loss": 0.7484,
+      "step": 11928
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1556771833546954e-05,
+      "loss": 0.8505,
+      "step": 11929
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1555520040038017e-05,
+      "loss": 0.712,
+      "step": 11930
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1554268221549377e-05,
+      "loss": 0.8381,
+      "step": 11931
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1553016378101137e-05,
+      "loss": 0.8671,
+      "step": 11932
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1551764509713399e-05,
+      "loss": 0.8702,
+      "step": 11933
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1550512616406269e-05,
+      "loss": 0.8013,
+      "step": 11934
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1549260698199846e-05,
+      "loss": 0.8603,
+      "step": 11935
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1548008755114242e-05,
+      "loss": 0.8469,
+      "step": 11936
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1546756787169553e-05,
+      "loss": 0.893,
+      "step": 11937
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1545504794385893e-05,
+      "loss": 0.839,
+      "step": 11938
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.154425277678336e-05,
+      "loss": 0.7932,
+      "step": 11939
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.154300073438206e-05,
+      "loss": 0.918,
+      "step": 11940
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1541748667202106e-05,
+      "loss": 0.8451,
+      "step": 11941
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1540496575263598e-05,
+      "loss": 0.8469,
+      "step": 11942
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1539244458586646e-05,
+      "loss": 0.8387,
+      "step": 11943
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1537992317191355e-05,
+      "loss": 0.7811,
+      "step": 11944
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1536740151097839e-05,
+      "loss": 0.8876,
+      "step": 11945
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1535487960326197e-05,
+      "loss": 0.8564,
+      "step": 11946
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1534235744896547e-05,
+      "loss": 0.724,
+      "step": 11947
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1532983504828987e-05,
+      "loss": 0.891,
+      "step": 11948
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.153173124014364e-05,
+      "loss": 0.8045,
+      "step": 11949
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1530478950860607e-05,
+      "loss": 0.7808,
+      "step": 11950
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1529226636999995e-05,
+      "loss": 0.6854,
+      "step": 11951
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1527974298581924e-05,
+      "loss": 0.724,
+      "step": 11952
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.15267219356265e-05,
+      "loss": 0.7527,
+      "step": 11953
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1525469548153833e-05,
+      "loss": 0.746,
+      "step": 11954
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1524217136184037e-05,
+      "loss": 0.8103,
+      "step": 11955
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1522964699737224e-05,
+      "loss": 0.8401,
+      "step": 11956
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1521712238833507e-05,
+      "loss": 0.8035,
+      "step": 11957
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1520459753492999e-05,
+      "loss": 0.7382,
+      "step": 11958
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1519207243735813e-05,
+      "loss": 0.6966,
+      "step": 11959
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1517954709582058e-05,
+      "loss": 0.7591,
+      "step": 11960
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1516702151051855e-05,
+      "loss": 0.6451,
+      "step": 11961
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1515449568165316e-05,
+      "loss": 0.9196,
+      "step": 11962
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1514196960942556e-05,
+      "loss": 0.7902,
+      "step": 11963
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1512944329403693e-05,
+      "loss": 0.8371,
+      "step": 11964
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1511691673568835e-05,
+      "loss": 0.6606,
+      "step": 11965
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1510438993458106e-05,
+      "loss": 0.8644,
+      "step": 11966
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1509186289091621e-05,
+      "loss": 0.8256,
+      "step": 11967
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1507933560489491e-05,
+      "loss": 0.7171,
+      "step": 11968
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1506680807671841e-05,
+      "loss": 0.8774,
+      "step": 11969
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1505428030658784e-05,
+      "loss": 0.9147,
+      "step": 11970
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1504175229470438e-05,
+      "loss": 0.924,
+      "step": 11971
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1502922404126924e-05,
+      "loss": 0.7684,
+      "step": 11972
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1501669554648359e-05,
+      "loss": 0.7787,
+      "step": 11973
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1500416681054864e-05,
+      "loss": 0.8014,
+      "step": 11974
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1499163783366553e-05,
+      "loss": 0.8028,
+      "step": 11975
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1497910861603557e-05,
+      "loss": 0.824,
+      "step": 11976
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1496657915785983e-05,
+      "loss": 0.6679,
+      "step": 11977
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1495404945933962e-05,
+      "loss": 0.87,
+      "step": 11978
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1494151952067611e-05,
+      "loss": 0.7836,
+      "step": 11979
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1492898934207052e-05,
+      "loss": 0.7011,
+      "step": 11980
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1491645892372405e-05,
+      "loss": 0.6689,
+      "step": 11981
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1490392826583794e-05,
+      "loss": 0.855,
+      "step": 11982
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1489139736861344e-05,
+      "loss": 0.7279,
+      "step": 11983
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1487886623225174e-05,
+      "loss": 0.8745,
+      "step": 11984
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.148663348569541e-05,
+      "loss": 0.83,
+      "step": 11985
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1485380324292175e-05,
+      "loss": 0.741,
+      "step": 11986
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1484127139035594e-05,
+      "loss": 0.9497,
+      "step": 11987
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1482873929945793e-05,
+      "loss": 0.9038,
+      "step": 11988
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.148162069704289e-05,
+      "loss": 0.8057,
+      "step": 11989
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1480367440347017e-05,
+      "loss": 0.7195,
+      "step": 11990
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1479114159878297e-05,
+      "loss": 0.7403,
+      "step": 11991
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1477860855656862e-05,
+      "loss": 0.864,
+      "step": 11992
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1476607527702828e-05,
+      "loss": 0.8395,
+      "step": 11993
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.147535417603633e-05,
+      "loss": 0.7508,
+      "step": 11994
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.147410080067749e-05,
+      "loss": 0.8641,
+      "step": 11995
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.147284740164644e-05,
+      "loss": 0.7539,
+      "step": 11996
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1471593978963309e-05,
+      "loss": 0.8521,
+      "step": 11997
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.147034053264822e-05,
+      "loss": 0.6926,
+      "step": 11998
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1469087062721305e-05,
+      "loss": 0.8125,
+      "step": 11999
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.146783356920269e-05,
+      "loss": 0.7901,
+      "step": 12000
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1466580052112511e-05,
+      "loss": 0.8641,
+      "step": 12001
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.146532651147089e-05,
+      "loss": 0.7543,
+      "step": 12002
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1464072947297966e-05,
+      "loss": 0.7311,
+      "step": 12003
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1462819359613862e-05,
+      "loss": 0.7423,
+      "step": 12004
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1461565748438715e-05,
+      "loss": 0.9183,
+      "step": 12005
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1460312113792651e-05,
+      "loss": 0.6753,
+      "step": 12006
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1459058455695804e-05,
+      "loss": 0.7891,
+      "step": 12007
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1457804774168308e-05,
+      "loss": 0.893,
+      "step": 12008
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1456551069230296e-05,
+      "loss": 0.7868,
+      "step": 12009
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1455297340901895e-05,
+      "loss": 0.8505,
+      "step": 12010
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1454043589203243e-05,
+      "loss": 0.6675,
+      "step": 12011
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1452789814154475e-05,
+      "loss": 0.8608,
+      "step": 12012
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1451536015775722e-05,
+      "loss": 0.8702,
+      "step": 12013
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1450282194087119e-05,
+      "loss": 0.8346,
+      "step": 12014
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1449028349108802e-05,
+      "loss": 0.9041,
+      "step": 12015
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1447774480860905e-05,
+      "loss": 0.7758,
+      "step": 12016
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1446520589363566e-05,
+      "loss": 0.8906,
+      "step": 12017
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1445266674636915e-05,
+      "loss": 0.7328,
+      "step": 12018
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1444012736701096e-05,
+      "loss": 0.9191,
+      "step": 12019
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1442758775576237e-05,
+      "loss": 0.6943,
+      "step": 12020
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1441504791282485e-05,
+      "loss": 0.8638,
+      "step": 12021
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1440250783839967e-05,
+      "loss": 0.7863,
+      "step": 12022
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1438996753268832e-05,
+      "loss": 0.9132,
+      "step": 12023
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.143774269958921e-05,
+      "loss": 0.8666,
+      "step": 12024
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1436488622821243e-05,
+      "loss": 0.9094,
+      "step": 12025
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1435234522985065e-05,
+      "loss": 0.8854,
+      "step": 12026
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1433980400100822e-05,
+      "loss": 0.8394,
+      "step": 12027
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.143272625418865e-05,
+      "loss": 0.8474,
+      "step": 12028
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1431472085268688e-05,
+      "loss": 0.8483,
+      "step": 12029
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1430217893361082e-05,
+      "loss": 0.9339,
+      "step": 12030
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1428963678485965e-05,
+      "loss": 0.6798,
+      "step": 12031
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1427709440663484e-05,
+      "loss": 0.978,
+      "step": 12032
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1426455179913777e-05,
+      "loss": 0.8698,
+      "step": 12033
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.142520089625699e-05,
+      "loss": 0.7283,
+      "step": 12034
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1423946589713259e-05,
+      "loss": 0.9059,
+      "step": 12035
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1422692260302733e-05,
+      "loss": 0.7636,
+      "step": 12036
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1421437908045552e-05,
+      "loss": 0.6609,
+      "step": 12037
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1420183532961855e-05,
+      "loss": 0.7439,
+      "step": 12038
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1418929135071795e-05,
+      "loss": 0.7941,
+      "step": 12039
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1417674714395509e-05,
+      "loss": 0.7465,
+      "step": 12040
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1416420270953144e-05,
+      "loss": 0.8602,
+      "step": 12041
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1415165804764842e-05,
+      "loss": 0.8649,
+      "step": 12042
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1413911315850754e-05,
+      "loss": 0.7718,
+      "step": 12043
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1412656804231019e-05,
+      "loss": 0.9857,
+      "step": 12044
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.141140226992579e-05,
+      "loss": 0.6614,
+      "step": 12045
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1410147712955206e-05,
+      "loss": 0.8256,
+      "step": 12046
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1408893133339416e-05,
+      "loss": 0.8124,
+      "step": 12047
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.140763853109857e-05,
+      "loss": 0.833,
+      "step": 12048
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1406383906252812e-05,
+      "loss": 0.7746,
+      "step": 12049
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1405129258822292e-05,
+      "loss": 0.793,
+      "step": 12050
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1403874588827156e-05,
+      "loss": 0.8694,
+      "step": 12051
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1402619896287553e-05,
+      "loss": 0.7328,
+      "step": 12052
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.140136518122363e-05,
+      "loss": 0.7202,
+      "step": 12053
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1400110443655541e-05,
+      "loss": 0.7909,
+      "step": 12054
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1398855683603431e-05,
+      "loss": 0.8155,
+      "step": 12055
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1397600901087455e-05,
+      "loss": 0.7753,
+      "step": 12056
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1396346096127755e-05,
+      "loss": 0.8673,
+      "step": 12057
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1395091268744492e-05,
+      "loss": 0.8129,
+      "step": 12058
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1393836418957806e-05,
+      "loss": 0.6506,
+      "step": 12059
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1392581546787855e-05,
+      "loss": 0.7541,
+      "step": 12060
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1391326652254792e-05,
+      "loss": 0.6822,
+      "step": 12061
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1390071735378762e-05,
+      "loss": 0.7363,
+      "step": 12062
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1388816796179927e-05,
+      "loss": 0.9137,
+      "step": 12063
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.138756183467843e-05,
+      "loss": 0.8118,
+      "step": 12064
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1386306850894431e-05,
+      "loss": 0.8159,
+      "step": 12065
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1385051844848083e-05,
+      "loss": 0.8144,
+      "step": 12066
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1383796816559534e-05,
+      "loss": 0.686,
+      "step": 12067
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1382541766048944e-05,
+      "loss": 0.7326,
+      "step": 12068
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1381286693336465e-05,
+      "loss": 0.951,
+      "step": 12069
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1380031598442254e-05,
+      "loss": 0.8867,
+      "step": 12070
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1378776481386462e-05,
+      "loss": 0.8498,
+      "step": 12071
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.137752134218925e-05,
+      "loss": 0.8169,
+      "step": 12072
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1376266180870769e-05,
+      "loss": 0.8792,
+      "step": 12073
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1375010997451182e-05,
+      "loss": 0.8157,
+      "step": 12074
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1373755791950638e-05,
+      "loss": 0.7171,
+      "step": 12075
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1372500564389298e-05,
+      "loss": 0.8237,
+      "step": 12076
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1371245314787318e-05,
+      "loss": 0.6947,
+      "step": 12077
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1369990043164855e-05,
+      "loss": 0.8375,
+      "step": 12078
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1368734749542072e-05,
+      "loss": 0.7977,
+      "step": 12079
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1367479433939124e-05,
+      "loss": 0.7355,
+      "step": 12080
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1366224096376168e-05,
+      "loss": 0.8407,
+      "step": 12081
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1364968736873366e-05,
+      "loss": 0.7744,
+      "step": 12082
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1363713355450876e-05,
+      "loss": 0.8735,
+      "step": 12083
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.136245795212886e-05,
+      "loss": 0.7125,
+      "step": 12084
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1361202526927473e-05,
+      "loss": 0.7721,
+      "step": 12085
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1359947079866882e-05,
+      "loss": 0.7992,
+      "step": 12086
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1358691610967242e-05,
+      "loss": 0.7931,
+      "step": 12087
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1357436120248722e-05,
+      "loss": 0.8949,
+      "step": 12088
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1356180607731476e-05,
+      "loss": 0.8954,
+      "step": 12089
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.135492507343567e-05,
+      "loss": 0.9011,
+      "step": 12090
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1353669517381463e-05,
+      "loss": 0.8092,
+      "step": 12091
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1352413939589022e-05,
+      "loss": 0.836,
+      "step": 12092
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1351158340078505e-05,
+      "loss": 0.8091,
+      "step": 12093
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1349902718870081e-05,
+      "loss": 0.9124,
+      "step": 12094
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1348647075983909e-05,
+      "loss": 0.8329,
+      "step": 12095
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1347391411440157e-05,
+      "loss": 0.9037,
+      "step": 12096
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1346135725258987e-05,
+      "loss": 0.7961,
+      "step": 12097
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1344880017460565e-05,
+      "loss": 0.7173,
+      "step": 12098
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.134362428806505e-05,
+      "loss": 0.7974,
+      "step": 12099
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1342368537092617e-05,
+      "loss": 0.8773,
+      "step": 12100
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1341112764563428e-05,
+      "loss": 0.8373,
+      "step": 12101
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1339856970497645e-05,
+      "loss": 0.7568,
+      "step": 12102
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1338601154915441e-05,
+      "loss": 0.833,
+      "step": 12103
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.133734531783698e-05,
+      "loss": 0.8023,
+      "step": 12104
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1336089459282426e-05,
+      "loss": 0.7191,
+      "step": 12105
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.133483357927195e-05,
+      "loss": 0.8399,
+      "step": 12106
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.133357767782572e-05,
+      "loss": 0.969,
+      "step": 12107
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1332321754963907e-05,
+      "loss": 0.7741,
+      "step": 12108
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.133106581070667e-05,
+      "loss": 0.8645,
+      "step": 12109
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.132980984507419e-05,
+      "loss": 0.9064,
+      "step": 12110
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1328553858086624e-05,
+      "loss": 0.7771,
+      "step": 12111
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1327297849764153e-05,
+      "loss": 0.8302,
+      "step": 12112
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1326041820126939e-05,
+      "loss": 0.8027,
+      "step": 12113
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1324785769195157e-05,
+      "loss": 0.8075,
+      "step": 12114
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1323529696988976e-05,
+      "loss": 0.9342,
+      "step": 12115
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1322273603528562e-05,
+      "loss": 0.7848,
+      "step": 12116
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1321017488834097e-05,
+      "loss": 0.7927,
+      "step": 12117
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.131976135292574e-05,
+      "loss": 0.7996,
+      "step": 12118
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1318505195823674e-05,
+      "loss": 0.8852,
+      "step": 12119
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1317249017548064e-05,
+      "loss": 0.8992,
+      "step": 12120
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1315992818119087e-05,
+      "loss": 0.8821,
+      "step": 12121
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1314736597556915e-05,
+      "loss": 0.8249,
+      "step": 12122
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.131348035588172e-05,
+      "loss": 0.7551,
+      "step": 12123
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1312224093113677e-05,
+      "loss": 0.8177,
+      "step": 12124
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1310967809272957e-05,
+      "loss": 0.8492,
+      "step": 12125
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1309711504379739e-05,
+      "loss": 0.9076,
+      "step": 12126
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1308455178454194e-05,
+      "loss": 0.6558,
+      "step": 12127
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1307198831516502e-05,
+      "loss": 0.7418,
+      "step": 12128
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.130594246358683e-05,
+      "loss": 0.8884,
+      "step": 12129
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.130468607468536e-05,
+      "loss": 0.9091,
+      "step": 12130
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1303429664832266e-05,
+      "loss": 0.7846,
+      "step": 12131
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1302173234047727e-05,
+      "loss": 0.7405,
+      "step": 12132
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1300916782351918e-05,
+      "loss": 0.819,
+      "step": 12133
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1299660309765013e-05,
+      "loss": 0.7533,
+      "step": 12134
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1298403816307193e-05,
+      "loss": 0.8483,
+      "step": 12135
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1297147301998633e-05,
+      "loss": 0.8482,
+      "step": 12136
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1295890766859516e-05,
+      "loss": 0.7711,
+      "step": 12137
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1294634210910015e-05,
+      "loss": 0.8822,
+      "step": 12138
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1293377634170311e-05,
+      "loss": 0.733,
+      "step": 12139
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1292121036660584e-05,
+      "loss": 0.8148,
+      "step": 12140
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.129086441840101e-05,
+      "loss": 0.7741,
+      "step": 12141
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1289607779411775e-05,
+      "loss": 0.951,
+      "step": 12142
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1288351119713053e-05,
+      "loss": 0.7522,
+      "step": 12143
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1287094439325027e-05,
+      "loss": 0.8859,
+      "step": 12144
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1285837738267875e-05,
+      "loss": 0.8485,
+      "step": 12145
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1284581016561781e-05,
+      "loss": 0.8055,
+      "step": 12146
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1283324274226925e-05,
+      "loss": 0.8346,
+      "step": 12147
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1282067511283491e-05,
+      "loss": 0.7967,
+      "step": 12148
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1280810727751658e-05,
+      "loss": 0.7488,
+      "step": 12149
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1279553923651612e-05,
+      "loss": 0.9987,
+      "step": 12150
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1278297099003529e-05,
+      "loss": 0.806,
+      "step": 12151
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.12770402538276e-05,
+      "loss": 0.7414,
+      "step": 12152
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1275783388144003e-05,
+      "loss": 0.8019,
+      "step": 12153
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1274526501972924e-05,
+      "loss": 0.8998,
+      "step": 12154
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1273269595334547e-05,
+      "loss": 0.9182,
+      "step": 12155
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1272012668249055e-05,
+      "loss": 0.8486,
+      "step": 12156
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1270755720736632e-05,
+      "loss": 0.6807,
+      "step": 12157
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1269498752817466e-05,
+      "loss": 0.7712,
+      "step": 12158
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1268241764511742e-05,
+      "loss": 0.802,
+      "step": 12159
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1266984755839642e-05,
+      "loss": 0.8435,
+      "step": 12160
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1265727726821356e-05,
+      "loss": 0.9161,
+      "step": 12161
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.126447067747707e-05,
+      "loss": 0.8235,
+      "step": 12162
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1263213607826968e-05,
+      "loss": 0.8091,
+      "step": 12163
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.126195651789124e-05,
+      "loss": 0.7684,
+      "step": 12164
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1260699407690067e-05,
+      "loss": 0.8832,
+      "step": 12165
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1259442277243646e-05,
+      "loss": 0.8066,
+      "step": 12166
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1258185126572156e-05,
+      "loss": 0.8631,
+      "step": 12167
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1256927955695793e-05,
+      "loss": 0.9657,
+      "step": 12168
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.125567076463474e-05,
+      "loss": 0.8798,
+      "step": 12169
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1254413553409189e-05,
+      "loss": 0.5917,
+      "step": 12170
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1253156322039328e-05,
+      "loss": 0.7945,
+      "step": 12171
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.125189907054535e-05,
+      "loss": 0.7137,
+      "step": 12172
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1250641798947437e-05,
+      "loss": 0.6474,
+      "step": 12173
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1249384507265783e-05,
+      "loss": 0.9255,
+      "step": 12174
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1248127195520583e-05,
+      "loss": 0.9508,
+      "step": 12175
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1246869863732023e-05,
+      "loss": 0.7684,
+      "step": 12176
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1245612511920297e-05,
+      "loss": 0.8209,
+      "step": 12177
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1244355140105591e-05,
+      "loss": 0.6442,
+      "step": 12178
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1243097748308106e-05,
+      "loss": 0.8912,
+      "step": 12179
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1241840336548022e-05,
+      "loss": 0.9584,
+      "step": 12180
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1240582904845542e-05,
+      "loss": 0.8829,
+      "step": 12181
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1239325453220858e-05,
+      "loss": 0.7607,
+      "step": 12182
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1238067981694157e-05,
+      "loss": 0.8084,
+      "step": 12183
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1236810490285638e-05,
+      "loss": 0.6981,
+      "step": 12184
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.123555297901549e-05,
+      "loss": 0.8585,
+      "step": 12185
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1234295447903909e-05,
+      "loss": 0.9133,
+      "step": 12186
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1233037896971091e-05,
+      "loss": 0.6631,
+      "step": 12187
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1231780326237227e-05,
+      "loss": 0.8228,
+      "step": 12188
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1230522735722519e-05,
+      "loss": 0.735,
+      "step": 12189
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1229265125447155e-05,
+      "loss": 0.8937,
+      "step": 12190
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1228007495431332e-05,
+      "loss": 0.7385,
+      "step": 12191
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1226749845695251e-05,
+      "loss": 0.6686,
+      "step": 12192
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1225492176259102e-05,
+      "loss": 0.7992,
+      "step": 12193
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1224234487143085e-05,
+      "loss": 0.8311,
+      "step": 12194
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1222976778367397e-05,
+      "loss": 0.7654,
+      "step": 12195
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1221719049952232e-05,
+      "loss": 0.8319,
+      "step": 12196
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1220461301917793e-05,
+      "loss": 0.9347,
+      "step": 12197
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.121920353428427e-05,
+      "loss": 0.8207,
+      "step": 12198
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1217945747071871e-05,
+      "loss": 1.0003,
+      "step": 12199
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1216687940300789e-05,
+      "loss": 0.8178,
+      "step": 12200
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1215430113991222e-05,
+      "loss": 0.9366,
+      "step": 12201
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.121417226816337e-05,
+      "loss": 0.7761,
+      "step": 12202
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1212914402837434e-05,
+      "loss": 0.7642,
+      "step": 12203
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1211656518033612e-05,
+      "loss": 0.7254,
+      "step": 12204
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1210398613772105e-05,
+      "loss": 0.7476,
+      "step": 12205
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1209140690073112e-05,
+      "loss": 0.924,
+      "step": 12206
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1207882746956834e-05,
+      "loss": 0.8091,
+      "step": 12207
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1206624784443473e-05,
+      "loss": 0.7995,
+      "step": 12208
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1205366802553231e-05,
+      "loss": 0.783,
+      "step": 12209
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1204108801306308e-05,
+      "loss": 0.9167,
+      "step": 12210
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.120285078072291e-05,
+      "loss": 0.6871,
+      "step": 12211
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1201592740823231e-05,
+      "loss": 0.6484,
+      "step": 12212
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.120033468162748e-05,
+      "loss": 0.8875,
+      "step": 12213
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1199076603155857e-05,
+      "loss": 0.7379,
+      "step": 12214
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1197818505428568e-05,
+      "loss": 0.8651,
+      "step": 12215
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1196560388465811e-05,
+      "loss": 0.8244,
+      "step": 12216
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.11953022522878e-05,
+      "loss": 0.6983,
+      "step": 12217
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1194044096914727e-05,
+      "loss": 0.7005,
+      "step": 12218
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1192785922366805e-05,
+      "loss": 0.7705,
+      "step": 12219
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1191527728664235e-05,
+      "loss": 0.8865,
+      "step": 12220
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.119026951582722e-05,
+      "loss": 0.7815,
+      "step": 12221
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1189011283875973e-05,
+      "loss": 0.8063,
+      "step": 12222
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.118775303283069e-05,
+      "loss": 0.888,
+      "step": 12223
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1186494762711585e-05,
+      "loss": 0.8014,
+      "step": 12224
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1185236473538861e-05,
+      "loss": 0.8595,
+      "step": 12225
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1183978165332723e-05,
+      "loss": 0.9595,
+      "step": 12226
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1182719838113378e-05,
+      "loss": 0.7858,
+      "step": 12227
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1181461491901038e-05,
+      "loss": 0.7452,
+      "step": 12228
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1180203126715905e-05,
+      "loss": 0.8098,
+      "step": 12229
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1178944742578189e-05,
+      "loss": 0.8307,
+      "step": 12230
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1177686339508096e-05,
+      "loss": 0.7615,
+      "step": 12231
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1176427917525839e-05,
+      "loss": 0.8279,
+      "step": 12232
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1175169476651622e-05,
+      "loss": 0.7815,
+      "step": 12233
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1173911016905656e-05,
+      "loss": 0.7618,
+      "step": 12234
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1172652538308152e-05,
+      "loss": 0.8658,
+      "step": 12235
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1171394040879312e-05,
+      "loss": 0.6934,
+      "step": 12236
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1170135524639355e-05,
+      "loss": 0.7059,
+      "step": 12237
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1168876989608487e-05,
+      "loss": 0.7851,
+      "step": 12238
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1167618435806924e-05,
+      "loss": 0.7856,
+      "step": 12239
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1166359863254868e-05,
+      "loss": 0.748,
+      "step": 12240
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1165101271972534e-05,
+      "loss": 0.8525,
+      "step": 12241
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1163842661980133e-05,
+      "loss": 0.8898,
+      "step": 12242
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1162584033297878e-05,
+      "loss": 0.7993,
+      "step": 12243
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1161325385945981e-05,
+      "loss": 0.6538,
+      "step": 12244
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1160066719944651e-05,
+      "loss": 0.7964,
+      "step": 12245
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1158808035314105e-05,
+      "loss": 0.694,
+      "step": 12246
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1157549332074553e-05,
+      "loss": 0.7564,
+      "step": 12247
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1156290610246213e-05,
+      "loss": 0.7884,
+      "step": 12248
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1155031869849291e-05,
+      "loss": 0.8526,
+      "step": 12249
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1153773110904005e-05,
+      "loss": 0.7679,
+      "step": 12250
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1152514333430571e-05,
+      "loss": 0.9205,
+      "step": 12251
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1151255537449198e-05,
+      "loss": 0.8035,
+      "step": 12252
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1149996722980102e-05,
+      "loss": 0.7916,
+      "step": 12253
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1148737890043503e-05,
+      "loss": 0.7783,
+      "step": 12254
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1147479038659614e-05,
+      "loss": 0.8767,
+      "step": 12255
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1146220168848645e-05,
+      "loss": 0.7926,
+      "step": 12256
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1144961280630822e-05,
+      "loss": 0.8506,
+      "step": 12257
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1143702374026351e-05,
+      "loss": 0.8898,
+      "step": 12258
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1142443449055455e-05,
+      "loss": 0.7413,
+      "step": 12259
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1141184505738349e-05,
+      "loss": 0.7951,
+      "step": 12260
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1139925544095249e-05,
+      "loss": 0.7936,
+      "step": 12261
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1138666564146375e-05,
+      "loss": 0.8358,
+      "step": 12262
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.113740756591194e-05,
+      "loss": 0.7762,
+      "step": 12263
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1136148549412166e-05,
+      "loss": 0.8187,
+      "step": 12264
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1134889514667269e-05,
+      "loss": 0.697,
+      "step": 12265
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.113363046169747e-05,
+      "loss": 0.6503,
+      "step": 12266
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1132371390522985e-05,
+      "loss": 0.946,
+      "step": 12267
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1131112301164035e-05,
+      "loss": 0.7496,
+      "step": 12268
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.112985319364084e-05,
+      "loss": 0.8021,
+      "step": 12269
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1128594067973617e-05,
+      "loss": 0.7843,
+      "step": 12270
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.112733492418259e-05,
+      "loss": 0.925,
+      "step": 12271
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1126075762287972e-05,
+      "loss": 0.7105,
+      "step": 12272
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1124816582309992e-05,
+      "loss": 0.8136,
+      "step": 12273
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1123557384268869e-05,
+      "loss": 0.8341,
+      "step": 12274
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1122298168184817e-05,
+      "loss": 0.8273,
+      "step": 12275
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1121038934078066e-05,
+      "loss": 0.6968,
+      "step": 12276
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1119779681968834e-05,
+      "loss": 0.8043,
+      "step": 12277
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1118520411877343e-05,
+      "loss": 0.8162,
+      "step": 12278
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1117261123823817e-05,
+      "loss": 0.9138,
+      "step": 12279
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1116001817828477e-05,
+      "loss": 0.7508,
+      "step": 12280
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1114742493911544e-05,
+      "loss": 0.7447,
+      "step": 12281
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1113483152093246e-05,
+      "loss": 0.8149,
+      "step": 12282
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1112223792393801e-05,
+      "loss": 0.819,
+      "step": 12283
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1110964414833438e-05,
+      "loss": 0.9151,
+      "step": 12284
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1109705019432378e-05,
+      "loss": 0.8461,
+      "step": 12285
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1108445606210845e-05,
+      "loss": 0.8482,
+      "step": 12286
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1107186175189064e-05,
+      "loss": 0.6732,
+      "step": 12287
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1105926726387264e-05,
+      "loss": 0.9777,
+      "step": 12288
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1104667259825666e-05,
+      "loss": 0.8398,
+      "step": 12289
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1103407775524493e-05,
+      "loss": 0.8435,
+      "step": 12290
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1102148273503974e-05,
+      "loss": 0.7182,
+      "step": 12291
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1100888753784336e-05,
+      "loss": 0.7803,
+      "step": 12292
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1099629216385805e-05,
+      "loss": 0.8533,
+      "step": 12293
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1098369661328606e-05,
+      "loss": 0.7854,
+      "step": 12294
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1097110088632965e-05,
+      "loss": 0.7681,
+      "step": 12295
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1095850498319112e-05,
+      "loss": 0.8606,
+      "step": 12296
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1094590890407273e-05,
+      "loss": 0.9762,
+      "step": 12297
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1093331264917676e-05,
+      "loss": 0.8473,
+      "step": 12298
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.109207162187055e-05,
+      "loss": 0.7409,
+      "step": 12299
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1090811961286124e-05,
+      "loss": 0.8587,
+      "step": 12300
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1089552283184619e-05,
+      "loss": 0.8429,
+      "step": 12301
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1088292587586273e-05,
+      "loss": 0.8877,
+      "step": 12302
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.108703287451131e-05,
+      "loss": 0.7812,
+      "step": 12303
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1085773143979962e-05,
+      "loss": 1.056,
+      "step": 12304
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.108451339601246e-05,
+      "loss": 0.8031,
+      "step": 12305
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1083253630629029e-05,
+      "loss": 0.8427,
+      "step": 12306
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1081993847849906e-05,
+      "loss": 0.7416,
+      "step": 12307
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1080734047695314e-05,
+      "loss": 0.8552,
+      "step": 12308
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.107947423018549e-05,
+      "loss": 0.8561,
+      "step": 12309
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1078214395340658e-05,
+      "loss": 0.8018,
+      "step": 12310
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1076954543181058e-05,
+      "loss": 0.839,
+      "step": 12311
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1075694673726916e-05,
+      "loss": 0.828,
+      "step": 12312
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1074434786998467e-05,
+      "loss": 0.7243,
+      "step": 12313
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1073174883015938e-05,
+      "loss": 0.8314,
+      "step": 12314
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1071914961799569e-05,
+      "loss": 0.8301,
+      "step": 12315
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1070655023369587e-05,
+      "loss": 0.9016,
+      "step": 12316
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1069395067746226e-05,
+      "loss": 0.8411,
+      "step": 12317
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1068135094949724e-05,
+      "loss": 0.7661,
+      "step": 12318
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.106687510500031e-05,
+      "loss": 0.8497,
+      "step": 12319
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1065615097918217e-05,
+      "loss": 0.7845,
+      "step": 12320
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.106435507372368e-05,
+      "loss": 0.8855,
+      "step": 12321
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1063095032436937e-05,
+      "loss": 0.9374,
+      "step": 12322
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1061834974078216e-05,
+      "loss": 0.7406,
+      "step": 12323
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.106057489866776e-05,
+      "loss": 0.8608,
+      "step": 12324
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1059314806225796e-05,
+      "loss": 0.8407,
+      "step": 12325
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1058054696772566e-05,
+      "loss": 0.8377,
+      "step": 12326
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1056794570328304e-05,
+      "loss": 0.7368,
+      "step": 12327
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1055534426913244e-05,
+      "loss": 0.9003,
+      "step": 12328
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1054274266547624e-05,
+      "loss": 0.7936,
+      "step": 12329
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1053014089251681e-05,
+      "loss": 0.8134,
+      "step": 12330
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.105175389504565e-05,
+      "loss": 0.7741,
+      "step": 12331
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.105049368394977e-05,
+      "loss": 0.7994,
+      "step": 12332
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1049233455984281e-05,
+      "loss": 0.8077,
+      "step": 12333
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1047973211169411e-05,
+      "loss": 0.8134,
+      "step": 12334
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.104671294952541e-05,
+      "loss": 0.7912,
+      "step": 12335
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.104545267107251e-05,
+      "loss": 0.9635,
+      "step": 12336
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1044192375830946e-05,
+      "loss": 0.6926,
+      "step": 12337
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1042932063820966e-05,
+      "loss": 0.8286,
+      "step": 12338
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.10416717350628e-05,
+      "loss": 0.8445,
+      "step": 12339
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1040411389576692e-05,
+      "loss": 0.7186,
+      "step": 12340
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1039151027382881e-05,
+      "loss": 0.7697,
+      "step": 12341
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1037890648501608e-05,
+      "loss": 0.8143,
+      "step": 12342
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.103663025295311e-05,
+      "loss": 0.8007,
+      "step": 12343
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.103536984075763e-05,
+      "loss": 0.7173,
+      "step": 12344
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1034109411935407e-05,
+      "loss": 0.7533,
+      "step": 12345
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1032848966506684e-05,
+      "loss": 0.7817,
+      "step": 12346
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1031588504491702e-05,
+      "loss": 0.9067,
+      "step": 12347
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1030328025910699e-05,
+      "loss": 0.8611,
+      "step": 12348
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1029067530783919e-05,
+      "loss": 0.8323,
+      "step": 12349
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1027807019131605e-05,
+      "loss": 0.7942,
+      "step": 12350
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1026546490973997e-05,
+      "loss": 0.8351,
+      "step": 12351
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.102528594633134e-05,
+      "loss": 0.8115,
+      "step": 12352
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1024025385223872e-05,
+      "loss": 0.8559,
+      "step": 12353
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1022764807671842e-05,
+      "loss": 0.9584,
+      "step": 12354
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1021504213695493e-05,
+      "loss": 0.7753,
+      "step": 12355
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1020243603315066e-05,
+      "loss": 0.8919,
+      "step": 12356
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.10189829765508e-05,
+      "loss": 0.7937,
+      "step": 12357
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.101772233342295e-05,
+      "loss": 0.7547,
+      "step": 12358
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1016461673951751e-05,
+      "loss": 0.789,
+      "step": 12359
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1015200998157453e-05,
+      "loss": 0.7602,
+      "step": 12360
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1013940306060298e-05,
+      "loss": 0.7228,
+      "step": 12361
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1012679597680533e-05,
+      "loss": 0.7366,
+      "step": 12362
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1011418873038404e-05,
+      "loss": 0.8622,
+      "step": 12363
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1010158132154153e-05,
+      "loss": 0.9275,
+      "step": 12364
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1008897375048031e-05,
+      "loss": 0.8261,
+      "step": 12365
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.100763660174028e-05,
+      "loss": 0.6836,
+      "step": 12366
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1006375812251144e-05,
+      "loss": 0.8387,
+      "step": 12367
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1005115006600879e-05,
+      "loss": 0.7633,
+      "step": 12368
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1003854184809725e-05,
+      "loss": 0.6246,
+      "step": 12369
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.100259334689793e-05,
+      "loss": 0.9451,
+      "step": 12370
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1001332492885741e-05,
+      "loss": 0.8098,
+      "step": 12371
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1000071622793406e-05,
+      "loss": 0.7937,
+      "step": 12372
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0998810736641179e-05,
+      "loss": 0.7799,
+      "step": 12373
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0997549834449297e-05,
+      "loss": 0.9702,
+      "step": 12374
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.099628891623802e-05,
+      "loss": 0.7715,
+      "step": 12375
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0995027982027588e-05,
+      "loss": 0.935,
+      "step": 12376
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0993767031838253e-05,
+      "loss": 0.8746,
+      "step": 12377
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.099250606569027e-05,
+      "loss": 0.9054,
+      "step": 12378
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0991245083603877e-05,
+      "loss": 0.8545,
+      "step": 12379
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0989984085599335e-05,
+      "loss": 0.8465,
+      "step": 12380
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0988723071696885e-05,
+      "loss": 0.734,
+      "step": 12381
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0987462041916783e-05,
+      "loss": 0.944,
+      "step": 12382
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0986200996279277e-05,
+      "loss": 0.7793,
+      "step": 12383
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0984939934804621e-05,
+      "loss": 0.8114,
+      "step": 12384
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0983678857513063e-05,
+      "loss": 0.7867,
+      "step": 12385
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0982417764424853e-05,
+      "loss": 0.6395,
+      "step": 12386
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0981156655560247e-05,
+      "loss": 0.648,
+      "step": 12387
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0979895530939495e-05,
+      "loss": 0.9373,
+      "step": 12388
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0978634390582847e-05,
+      "loss": 0.7052,
+      "step": 12389
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0977373234510557e-05,
+      "loss": 0.7378,
+      "step": 12390
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.097611206274288e-05,
+      "loss": 0.8353,
+      "step": 12391
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0974850875300063e-05,
+      "loss": 0.816,
+      "step": 12392
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0973589672202365e-05,
+      "loss": 0.7706,
+      "step": 12393
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0972328453470039e-05,
+      "loss": 0.8248,
+      "step": 12394
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0971067219123331e-05,
+      "loss": 0.794,
+      "step": 12395
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0969805969182503e-05,
+      "loss": 0.8241,
+      "step": 12396
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0968544703667805e-05,
+      "loss": 0.6294,
+      "step": 12397
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0967283422599495e-05,
+      "loss": 0.711,
+      "step": 12398
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0966022125997825e-05,
+      "loss": 0.8936,
+      "step": 12399
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0964760813883048e-05,
+      "loss": 0.6778,
+      "step": 12400
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0963499486275421e-05,
+      "loss": 0.7286,
+      "step": 12401
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0962238143195203e-05,
+      "loss": 0.7408,
+      "step": 12402
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0960976784662642e-05,
+      "loss": 0.7317,
+      "step": 12403
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0959715410698003e-05,
+      "loss": 0.8268,
+      "step": 12404
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0958454021321536e-05,
+      "loss": 0.7647,
+      "step": 12405
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0957192616553494e-05,
+      "loss": 0.647,
+      "step": 12406
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0955931196414143e-05,
+      "loss": 0.834,
+      "step": 12407
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0954669760923733e-05,
+      "loss": 0.6679,
+      "step": 12408
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0953408310102522e-05,
+      "loss": 0.7688,
+      "step": 12409
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.095214684397077e-05,
+      "loss": 0.8332,
+      "step": 12410
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.095088536254873e-05,
+      "loss": 0.8221,
+      "step": 12411
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0949623865856664e-05,
+      "loss": 0.7977,
+      "step": 12412
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0948362353914832e-05,
+      "loss": 0.7183,
+      "step": 12413
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0947100826743487e-05,
+      "loss": 0.849,
+      "step": 12414
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0945839284362885e-05,
+      "loss": 0.8506,
+      "step": 12415
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0944577726793296e-05,
+      "loss": 0.8242,
+      "step": 12416
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0943316154054966e-05,
+      "loss": 0.7757,
+      "step": 12417
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0942054566168166e-05,
+      "loss": 0.7949,
+      "step": 12418
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0940792963153146e-05,
+      "loss": 0.7235,
+      "step": 12419
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0939531345030173e-05,
+      "loss": 0.7264,
+      "step": 12420
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0938269711819501e-05,
+      "loss": 0.8244,
+      "step": 12421
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0937008063541395e-05,
+      "loss": 0.598,
+      "step": 12422
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0935746400216114e-05,
+      "loss": 0.8436,
+      "step": 12423
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0934484721863917e-05,
+      "loss": 0.8052,
+      "step": 12424
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0933223028505066e-05,
+      "loss": 0.672,
+      "step": 12425
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0931961320159822e-05,
+      "loss": 0.8443,
+      "step": 12426
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.093069959684845e-05,
+      "loss": 0.7736,
+      "step": 12427
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0929437858591207e-05,
+      "loss": 0.7413,
+      "step": 12428
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0928176105408359e-05,
+      "loss": 0.8742,
+      "step": 12429
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0926914337320162e-05,
+      "loss": 0.9003,
+      "step": 12430
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0925652554346884e-05,
+      "loss": 0.8316,
+      "step": 12431
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0924390756508785e-05,
+      "loss": 0.8973,
+      "step": 12432
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0923128943826132e-05,
+      "loss": 0.7164,
+      "step": 12433
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0921867116319183e-05,
+      "loss": 0.7052,
+      "step": 12434
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.09206052740082e-05,
+      "loss": 0.8836,
+      "step": 12435
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0919343416913455e-05,
+      "loss": 0.8289,
+      "step": 12436
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0918081545055203e-05,
+      "loss": 0.8472,
+      "step": 12437
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0916819658453715e-05,
+      "loss": 0.7278,
+      "step": 12438
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0915557757129246e-05,
+      "loss": 0.9439,
+      "step": 12439
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0914295841102075e-05,
+      "loss": 0.8594,
+      "step": 12440
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0913033910392452e-05,
+      "loss": 0.7911,
+      "step": 12441
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0911771965020652e-05,
+      "loss": 0.9709,
+      "step": 12442
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0910510005006938e-05,
+      "loss": 0.8397,
+      "step": 12443
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0909248030371571e-05,
+      "loss": 0.7025,
+      "step": 12444
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0907986041134821e-05,
+      "loss": 0.8538,
+      "step": 12445
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0906724037316952e-05,
+      "loss": 0.8281,
+      "step": 12446
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0905462018938234e-05,
+      "loss": 0.9136,
+      "step": 12447
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0904199986018926e-05,
+      "loss": 0.7088,
+      "step": 12448
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0902937938579304e-05,
+      "loss": 0.8316,
+      "step": 12449
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0901675876639628e-05,
+      "loss": 0.7446,
+      "step": 12450
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0900413800220166e-05,
+      "loss": 0.8889,
+      "step": 12451
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0899151709341189e-05,
+      "loss": 0.7626,
+      "step": 12452
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0897889604022962e-05,
+      "loss": 0.802,
+      "step": 12453
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0896627484285752e-05,
+      "loss": 0.907,
+      "step": 12454
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0895365350149829e-05,
+      "loss": 0.7664,
+      "step": 12455
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0894103201635459e-05,
+      "loss": 0.7747,
+      "step": 12456
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0892841038762913e-05,
+      "loss": 0.7053,
+      "step": 12457
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0891578861552461e-05,
+      "loss": 0.7676,
+      "step": 12458
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0890316670024366e-05,
+      "loss": 0.6618,
+      "step": 12459
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0889054464198903e-05,
+      "loss": 0.5712,
+      "step": 12460
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0887792244096336e-05,
+      "loss": 0.7929,
+      "step": 12461
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0886530009736942e-05,
+      "loss": 0.8307,
+      "step": 12462
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0885267761140988e-05,
+      "loss": 0.8451,
+      "step": 12463
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0884005498328737e-05,
+      "loss": 0.886,
+      "step": 12464
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.088274322132047e-05,
+      "loss": 0.9203,
+      "step": 12465
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0881480930136452e-05,
+      "loss": 0.8638,
+      "step": 12466
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0880218624796954e-05,
+      "loss": 0.833,
+      "step": 12467
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0878956305322248e-05,
+      "loss": 0.7666,
+      "step": 12468
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0877693971732608e-05,
+      "loss": 0.8807,
+      "step": 12469
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0876431624048298e-05,
+      "loss": 0.8928,
+      "step": 12470
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0875169262289597e-05,
+      "loss": 0.9148,
+      "step": 12471
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0873906886476777e-05,
+      "loss": 0.8031,
+      "step": 12472
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0872644496630103e-05,
+      "loss": 0.7842,
+      "step": 12473
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0871382092769853e-05,
+      "loss": 0.8168,
+      "step": 12474
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0870119674916298e-05,
+      "loss": 0.7706,
+      "step": 12475
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0868857243089714e-05,
+      "loss": 0.7624,
+      "step": 12476
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0867594797310368e-05,
+      "loss": 0.8792,
+      "step": 12477
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.086633233759854e-05,
+      "loss": 0.7412,
+      "step": 12478
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0865069863974496e-05,
+      "loss": 0.7338,
+      "step": 12479
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0863807376458516e-05,
+      "loss": 0.798,
+      "step": 12480
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0862544875070875e-05,
+      "loss": 0.7427,
+      "step": 12481
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0861282359831842e-05,
+      "loss": 0.6822,
+      "step": 12482
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0860019830761693e-05,
+      "loss": 0.6899,
+      "step": 12483
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.08587572878807e-05,
+      "loss": 0.785,
+      "step": 12484
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0857494731209148e-05,
+      "loss": 0.6585,
+      "step": 12485
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.08562321607673e-05,
+      "loss": 0.8549,
+      "step": 12486
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0854969576575438e-05,
+      "loss": 0.815,
+      "step": 12487
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0853706978653835e-05,
+      "loss": 0.9241,
+      "step": 12488
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.085244436702277e-05,
+      "loss": 0.7689,
+      "step": 12489
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0851181741702515e-05,
+      "loss": 0.8655,
+      "step": 12490
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.084991910271335e-05,
+      "loss": 0.6834,
+      "step": 12491
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0848656450075545e-05,
+      "loss": 0.8398,
+      "step": 12492
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0847393783809383e-05,
+      "loss": 0.7235,
+      "step": 12493
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.084613110393514e-05,
+      "loss": 0.8477,
+      "step": 12494
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.084486841047309e-05,
+      "loss": 0.8897,
+      "step": 12495
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0843605703443511e-05,
+      "loss": 0.8815,
+      "step": 12496
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0842342982866686e-05,
+      "loss": 0.7249,
+      "step": 12497
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0841080248762883e-05,
+      "loss": 0.8962,
+      "step": 12498
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0839817501152387e-05,
+      "loss": 0.8318,
+      "step": 12499
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0838554740055479e-05,
+      "loss": 0.7282,
+      "step": 12500
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0837291965492425e-05,
+      "loss": 0.8819,
+      "step": 12501
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0836029177483516e-05,
+      "loss": 0.832,
+      "step": 12502
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0834766376049024e-05,
+      "loss": 0.7401,
+      "step": 12503
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0833503561209232e-05,
+      "loss": 0.8656,
+      "step": 12504
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0832240732984415e-05,
+      "loss": 0.7272,
+      "step": 12505
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0830977891394853e-05,
+      "loss": 0.8263,
+      "step": 12506
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0829715036460833e-05,
+      "loss": 0.7383,
+      "step": 12507
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0828452168202624e-05,
+      "loss": 0.9258,
+      "step": 12508
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0827189286640513e-05,
+      "loss": 0.8205,
+      "step": 12509
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0825926391794782e-05,
+      "loss": 0.6558,
+      "step": 12510
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0824663483685702e-05,
+      "loss": 0.8578,
+      "step": 12511
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0823400562333563e-05,
+      "loss": 0.8021,
+      "step": 12512
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0822137627758642e-05,
+      "loss": 0.6421,
+      "step": 12513
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0820874679981223e-05,
+      "loss": 0.7788,
+      "step": 12514
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0819611719021584e-05,
+      "loss": 0.8377,
+      "step": 12515
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0818348744900007e-05,
+      "loss": 0.885,
+      "step": 12516
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0817085757636774e-05,
+      "loss": 0.7576,
+      "step": 12517
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.081582275725217e-05,
+      "loss": 0.8097,
+      "step": 12518
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.081455974376647e-05,
+      "loss": 0.6948,
+      "step": 12519
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0813296717199969e-05,
+      "loss": 0.7746,
+      "step": 12520
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0812033677572937e-05,
+      "loss": 0.8616,
+      "step": 12521
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.081077062490566e-05,
+      "loss": 0.8732,
+      "step": 12522
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0809507559218426e-05,
+      "loss": 0.8285,
+      "step": 12523
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0808244480531513e-05,
+      "loss": 0.7583,
+      "step": 12524
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0806981388865208e-05,
+      "loss": 0.9474,
+      "step": 12525
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0805718284239793e-05,
+      "loss": 0.8605,
+      "step": 12526
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0804455166675552e-05,
+      "loss": 0.8202,
+      "step": 12527
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0803192036192767e-05,
+      "loss": 0.9016,
+      "step": 12528
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0801928892811726e-05,
+      "loss": 0.8013,
+      "step": 12529
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0800665736552713e-05,
+      "loss": 0.7119,
+      "step": 12530
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0799402567436009e-05,
+      "loss": 0.6837,
+      "step": 12531
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0798139385481903e-05,
+      "loss": 0.8745,
+      "step": 12532
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0796876190710677e-05,
+      "loss": 0.8579,
+      "step": 12533
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.079561298314262e-05,
+      "loss": 0.7927,
+      "step": 12534
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0794349762798013e-05,
+      "loss": 0.8236,
+      "step": 12535
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0793086529697148e-05,
+      "loss": 0.7277,
+      "step": 12536
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0791823283860304e-05,
+      "loss": 0.8202,
+      "step": 12537
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0790560025307773e-05,
+      "loss": 0.8539,
+      "step": 12538
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0789296754059837e-05,
+      "loss": 0.9719,
+      "step": 12539
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0788033470136783e-05,
+      "loss": 0.9262,
+      "step": 12540
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.07867701735589e-05,
+      "loss": 0.7833,
+      "step": 12541
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0785506864346475e-05,
+      "loss": 0.8561,
+      "step": 12542
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0784243542519792e-05,
+      "loss": 0.7889,
+      "step": 12543
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0782980208099143e-05,
+      "loss": 0.6977,
+      "step": 12544
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0781716861104812e-05,
+      "loss": 0.8342,
+      "step": 12545
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0780453501557084e-05,
+      "loss": 0.8527,
+      "step": 12546
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0779190129476256e-05,
+      "loss": 0.8678,
+      "step": 12547
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0777926744882607e-05,
+      "loss": 0.7817,
+      "step": 12548
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0776663347796433e-05,
+      "loss": 0.6499,
+      "step": 12549
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0775399938238019e-05,
+      "loss": 0.913,
+      "step": 12550
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.077413651622765e-05,
+      "loss": 0.7168,
+      "step": 12551
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.077287308178562e-05,
+      "loss": 0.8902,
+      "step": 12552
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0771609634932216e-05,
+      "loss": 0.784,
+      "step": 12553
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0770346175687728e-05,
+      "loss": 0.8851,
+      "step": 12554
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0769082704072447e-05,
+      "loss": 0.7076,
+      "step": 12555
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.076781922010666e-05,
+      "loss": 0.8368,
+      "step": 12556
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0766555723810661e-05,
+      "loss": 0.699,
+      "step": 12557
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0765292215204738e-05,
+      "loss": 0.8582,
+      "step": 12558
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0764028694309179e-05,
+      "loss": 0.7097,
+      "step": 12559
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0762765161144275e-05,
+      "loss": 0.6959,
+      "step": 12560
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0761501615730321e-05,
+      "loss": 0.8202,
+      "step": 12561
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0760238058087605e-05,
+      "loss": 0.9027,
+      "step": 12562
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0758974488236418e-05,
+      "loss": 0.8011,
+      "step": 12563
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.075771090619705e-05,
+      "loss": 0.8486,
+      "step": 12564
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0756447311989796e-05,
+      "loss": 0.6331,
+      "step": 12565
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0755183705634944e-05,
+      "loss": 0.7178,
+      "step": 12566
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0753920087152792e-05,
+      "loss": 0.8604,
+      "step": 12567
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0752656456563626e-05,
+      "loss": 0.8394,
+      "step": 12568
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.075139281388774e-05,
+      "loss": 0.9589,
+      "step": 12569
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0750129159145429e-05,
+      "loss": 0.8968,
+      "step": 12570
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0748865492356981e-05,
+      "loss": 0.7592,
+      "step": 12571
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0747601813542694e-05,
+      "loss": 0.7957,
+      "step": 12572
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0746338122722854e-05,
+      "loss": 0.8638,
+      "step": 12573
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0745074419917765e-05,
+      "loss": 0.9214,
+      "step": 12574
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.074381070514771e-05,
+      "loss": 0.794,
+      "step": 12575
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.074254697843299e-05,
+      "loss": 0.8786,
+      "step": 12576
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0741283239793894e-05,
+      "loss": 0.9241,
+      "step": 12577
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0740019489250719e-05,
+      "loss": 0.7724,
+      "step": 12578
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0738755726823759e-05,
+      "loss": 0.7651,
+      "step": 12579
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0737491952533305e-05,
+      "loss": 0.8867,
+      "step": 12580
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0736228166399659e-05,
+      "loss": 1.011,
+      "step": 12581
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0734964368443106e-05,
+      "loss": 0.5994,
+      "step": 12582
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.073370055868395e-05,
+      "loss": 0.8543,
+      "step": 12583
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0732436737142482e-05,
+      "loss": 0.8663,
+      "step": 12584
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0731172903838995e-05,
+      "loss": 0.8542,
+      "step": 12585
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.072990905879379e-05,
+      "loss": 0.8756,
+      "step": 12586
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0728645202027162e-05,
+      "loss": 0.8647,
+      "step": 12587
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.07273813335594e-05,
+      "loss": 0.8236,
+      "step": 12588
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.072611745341081e-05,
+      "loss": 0.817,
+      "step": 12589
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0724853561601683e-05,
+      "loss": 0.8087,
+      "step": 12590
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0723589658152311e-05,
+      "loss": 0.8997,
+      "step": 12591
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0722325743083001e-05,
+      "loss": 0.8813,
+      "step": 12592
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0721061816414043e-05,
+      "loss": 0.8733,
+      "step": 12593
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0719797878165737e-05,
+      "loss": 0.8728,
+      "step": 12594
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0718533928358374e-05,
+      "loss": 0.7818,
+      "step": 12595
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0717269967012262e-05,
+      "loss": 0.602,
+      "step": 12596
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0716005994147694e-05,
+      "loss": 0.9156,
+      "step": 12597
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0714742009784963e-05,
+      "loss": 0.8575,
+      "step": 12598
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0713478013944371e-05,
+      "loss": 0.8667,
+      "step": 12599
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0712214006646217e-05,
+      "loss": 0.8622,
+      "step": 12600
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.07109499879108e-05,
+      "loss": 0.9041,
+      "step": 12601
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0709685957758416e-05,
+      "loss": 0.6736,
+      "step": 12602
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0708421916209364e-05,
+      "loss": 0.6429,
+      "step": 12603
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0707157863283944e-05,
+      "loss": 0.7155,
+      "step": 12604
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0705893799002455e-05,
+      "loss": 0.781,
+      "step": 12605
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0704629723385195e-05,
+      "loss": 0.7457,
+      "step": 12606
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0703365636452468e-05,
+      "loss": 0.8325,
+      "step": 12607
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.070210153822457e-05,
+      "loss": 0.9098,
+      "step": 12608
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0700837428721798e-05,
+      "loss": 0.6828,
+      "step": 12609
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0699573307964457e-05,
+      "loss": 0.7485,
+      "step": 12610
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0698309175972843e-05,
+      "loss": 0.8661,
+      "step": 12611
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0697045032767262e-05,
+      "loss": 0.8854,
+      "step": 12612
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0695780878368007e-05,
+      "loss": 0.6943,
+      "step": 12613
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0694516712795387e-05,
+      "loss": 0.9107,
+      "step": 12614
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0693252536069695e-05,
+      "loss": 0.8586,
+      "step": 12615
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0691988348211239e-05,
+      "loss": 0.8307,
+      "step": 12616
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0690724149240319e-05,
+      "loss": 0.8728,
+      "step": 12617
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0689459939177231e-05,
+      "loss": 0.9113,
+      "step": 12618
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0688195718042283e-05,
+      "loss": 0.8056,
+      "step": 12619
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0686931485855772e-05,
+      "loss": 0.8061,
+      "step": 12620
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0685667242638003e-05,
+      "loss": 0.6197,
+      "step": 12621
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0684402988409278e-05,
+      "loss": 0.8983,
+      "step": 12622
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0683138723189897e-05,
+      "loss": 0.7265,
+      "step": 12623
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0681874447000165e-05,
+      "loss": 0.7482,
+      "step": 12624
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0680610159860382e-05,
+      "loss": 0.8543,
+      "step": 12625
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0679345861790858e-05,
+      "loss": 0.8339,
+      "step": 12626
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0678081552811886e-05,
+      "loss": 0.8359,
+      "step": 12627
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0676817232943775e-05,
+      "loss": 0.8171,
+      "step": 12628
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0675552902206827e-05,
+      "loss": 0.814,
+      "step": 12629
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0674288560621346e-05,
+      "loss": 0.8276,
+      "step": 12630
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0673024208207636e-05,
+      "loss": 0.9633,
+      "step": 12631
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0671759844986002e-05,
+      "loss": 0.7237,
+      "step": 12632
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0670495470976745e-05,
+      "loss": 0.836,
+      "step": 12633
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.066923108620017e-05,
+      "loss": 0.8055,
+      "step": 12634
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0667966690676583e-05,
+      "loss": 0.7506,
+      "step": 12635
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0666702284426289e-05,
+      "loss": 0.7998,
+      "step": 12636
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0665437867469593e-05,
+      "loss": 0.9401,
+      "step": 12637
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0664173439826794e-05,
+      "loss": 0.7766,
+      "step": 12638
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0662909001518207e-05,
+      "loss": 0.7721,
+      "step": 12639
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0661644552564127e-05,
+      "loss": 0.9017,
+      "step": 12640
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.066038009298487e-05,
+      "loss": 0.6585,
+      "step": 12641
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0659115622800733e-05,
+      "loss": 0.7769,
+      "step": 12642
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0657851142032026e-05,
+      "loss": 0.7746,
+      "step": 12643
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0656586650699052e-05,
+      "loss": 0.8515,
+      "step": 12644
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0655322148822123e-05,
+      "loss": 0.739,
+      "step": 12645
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0654057636421538e-05,
+      "loss": 0.7236,
+      "step": 12646
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0652793113517607e-05,
+      "loss": 0.6307,
+      "step": 12647
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0651528580130639e-05,
+      "loss": 0.8591,
+      "step": 12648
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0650264036280935e-05,
+      "loss": 0.5928,
+      "step": 12649
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.064899948198881e-05,
+      "loss": 0.8074,
+      "step": 12650
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0647734917274562e-05,
+      "loss": 0.7184,
+      "step": 12651
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0646470342158505e-05,
+      "loss": 0.6516,
+      "step": 12652
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0645205756660943e-05,
+      "loss": 0.6689,
+      "step": 12653
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0643941160802189e-05,
+      "loss": 0.888,
+      "step": 12654
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0642676554602545e-05,
+      "loss": 0.7554,
+      "step": 12655
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0641411938082317e-05,
+      "loss": 0.7862,
+      "step": 12656
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0640147311261821e-05,
+      "loss": 0.6627,
+      "step": 12657
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.063888267416136e-05,
+      "loss": 0.7172,
+      "step": 12658
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0637618026801246e-05,
+      "loss": 0.8851,
+      "step": 12659
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0636353369201782e-05,
+      "loss": 0.7678,
+      "step": 12660
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0635088701383282e-05,
+      "loss": 0.8987,
+      "step": 12661
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0633824023366053e-05,
+      "loss": 0.7432,
+      "step": 12662
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0632559335170405e-05,
+      "loss": 0.7727,
+      "step": 12663
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0631294636816645e-05,
+      "loss": 0.7698,
+      "step": 12664
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0630029928325087e-05,
+      "loss": 0.8286,
+      "step": 12665
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0628765209716037e-05,
+      "loss": 0.7393,
+      "step": 12666
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0627500481009805e-05,
+      "loss": 0.7594,
+      "step": 12667
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0626235742226702e-05,
+      "loss": 0.8598,
+      "step": 12668
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0624970993387036e-05,
+      "loss": 0.7398,
+      "step": 12669
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.062370623451112e-05,
+      "loss": 0.8246,
+      "step": 12670
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0622441465619265e-05,
+      "loss": 0.8108,
+      "step": 12671
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0621176686731778e-05,
+      "loss": 0.7256,
+      "step": 12672
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0619911897868973e-05,
+      "loss": 0.7422,
+      "step": 12673
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0618647099051158e-05,
+      "loss": 0.9212,
+      "step": 12674
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0617382290298649e-05,
+      "loss": 0.7432,
+      "step": 12675
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0616117471631753e-05,
+      "loss": 0.737,
+      "step": 12676
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0614852643070779e-05,
+      "loss": 0.8398,
+      "step": 12677
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0613587804636045e-05,
+      "loss": 0.9162,
+      "step": 12678
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.061232295634786e-05,
+      "loss": 0.8306,
+      "step": 12679
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0611058098226534e-05,
+      "loss": 0.8051,
+      "step": 12680
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0609793230292382e-05,
+      "loss": 0.6774,
+      "step": 12681
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0608528352565714e-05,
+      "loss": 0.8683,
+      "step": 12682
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0607263465066844e-05,
+      "loss": 0.8495,
+      "step": 12683
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0605998567816084e-05,
+      "loss": 0.7332,
+      "step": 12684
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0604733660833744e-05,
+      "loss": 0.7713,
+      "step": 12685
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0603468744140142e-05,
+      "loss": 0.7297,
+      "step": 12686
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0602203817755585e-05,
+      "loss": 0.8207,
+      "step": 12687
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0600938881700394e-05,
+      "loss": 0.7901,
+      "step": 12688
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0599673935994872e-05,
+      "loss": 0.7553,
+      "step": 12689
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0598408980659342e-05,
+      "loss": 0.7378,
+      "step": 12690
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0597144015714112e-05,
+      "loss": 0.7659,
+      "step": 12691
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0595879041179498e-05,
+      "loss": 0.704,
+      "step": 12692
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0594614057075811e-05,
+      "loss": 0.8076,
+      "step": 12693
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.059334906342337e-05,
+      "loss": 0.7679,
+      "step": 12694
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0592084060242489e-05,
+      "loss": 0.7962,
+      "step": 12695
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0590819047553476e-05,
+      "loss": 0.7986,
+      "step": 12696
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.058955402537665e-05,
+      "loss": 0.735,
+      "step": 12697
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0588288993732324e-05,
+      "loss": 0.7872,
+      "step": 12698
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0587023952640815e-05,
+      "loss": 0.9467,
+      "step": 12699
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0585758902122437e-05,
+      "loss": 0.8064,
+      "step": 12700
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0584493842197505e-05,
+      "loss": 0.7945,
+      "step": 12701
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0583228772886333e-05,
+      "loss": 0.709,
+      "step": 12702
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.058196369420924e-05,
+      "loss": 0.7459,
+      "step": 12703
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0580698606186542e-05,
+      "loss": 0.7956,
+      "step": 12704
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0579433508838546e-05,
+      "loss": 0.7539,
+      "step": 12705
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0578168402185577e-05,
+      "loss": 0.8206,
+      "step": 12706
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0576903286247947e-05,
+      "loss": 0.7844,
+      "step": 12707
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0575638161045976e-05,
+      "loss": 0.8362,
+      "step": 12708
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0574373026599973e-05,
+      "loss": 0.7955,
+      "step": 12709
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0573107882930262e-05,
+      "loss": 0.8248,
+      "step": 12710
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0571842730057154e-05,
+      "loss": 0.9324,
+      "step": 12711
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.057057756800097e-05,
+      "loss": 0.817,
+      "step": 12712
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0569312396782029e-05,
+      "loss": 0.733,
+      "step": 12713
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0568047216420636e-05,
+      "loss": 0.7952,
+      "step": 12714
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0566782026937124e-05,
+      "loss": 0.8129,
+      "step": 12715
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0565516828351796e-05,
+      "loss": 0.8307,
+      "step": 12716
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0564251620684982e-05,
+      "loss": 0.8998,
+      "step": 12717
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0562986403956994e-05,
+      "loss": 0.7387,
+      "step": 12718
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0561721178188148e-05,
+      "loss": 0.804,
+      "step": 12719
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0560455943398763e-05,
+      "loss": 0.8141,
+      "step": 12720
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0559190699609158e-05,
+      "loss": 0.8408,
+      "step": 12721
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0557925446839652e-05,
+      "loss": 0.7429,
+      "step": 12722
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0556660185110564e-05,
+      "loss": 0.8823,
+      "step": 12723
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0555394914442207e-05,
+      "loss": 0.8137,
+      "step": 12724
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0554129634854906e-05,
+      "loss": 0.7508,
+      "step": 12725
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0552864346368979e-05,
+      "loss": 0.8429,
+      "step": 12726
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0551599049004738e-05,
+      "loss": 0.8009,
+      "step": 12727
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0550333742782512e-05,
+      "loss": 0.7961,
+      "step": 12728
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0549068427722613e-05,
+      "loss": 0.7884,
+      "step": 12729
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0547803103845366e-05,
+      "loss": 0.7855,
+      "step": 12730
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0546537771171087e-05,
+      "loss": 0.7611,
+      "step": 12731
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0545272429720094e-05,
+      "loss": 0.7695,
+      "step": 12732
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0544007079512713e-05,
+      "loss": 0.7292,
+      "step": 12733
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0542741720569257e-05,
+      "loss": 0.6877,
+      "step": 12734
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.054147635291005e-05,
+      "loss": 0.8493,
+      "step": 12735
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.054021097655541e-05,
+      "loss": 0.9662,
+      "step": 12736
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.053894559152566e-05,
+      "loss": 0.8374,
+      "step": 12737
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0537680197841116e-05,
+      "loss": 0.7725,
+      "step": 12738
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0536414795522105e-05,
+      "loss": 0.6418,
+      "step": 12739
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0535149384588943e-05,
+      "loss": 0.711,
+      "step": 12740
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0533883965061955e-05,
+      "loss": 0.7242,
+      "step": 12741
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0532618536961459e-05,
+      "loss": 0.8467,
+      "step": 12742
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0531353100307775e-05,
+      "loss": 0.7522,
+      "step": 12743
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0530087655121227e-05,
+      "loss": 0.7199,
+      "step": 12744
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0528822201422133e-05,
+      "loss": 0.8537,
+      "step": 12745
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0527556739230822e-05,
+      "loss": 0.7522,
+      "step": 12746
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0526291268567605e-05,
+      "loss": 0.7496,
+      "step": 12747
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0525025789452815e-05,
+      "loss": 0.6662,
+      "step": 12748
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0523760301906764e-05,
+      "loss": 0.8561,
+      "step": 12749
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0522494805949784e-05,
+      "loss": 0.7626,
+      "step": 12750
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0521229301602188e-05,
+      "loss": 0.7776,
+      "step": 12751
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0519963788884305e-05,
+      "loss": 0.8128,
+      "step": 12752
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0518698267816454e-05,
+      "loss": 0.9306,
+      "step": 12753
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0517432738418957e-05,
+      "loss": 0.7206,
+      "step": 12754
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0516167200712144e-05,
+      "loss": 0.6338,
+      "step": 12755
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0514901654716327e-05,
+      "loss": 0.6958,
+      "step": 12756
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0513636100451838e-05,
+      "loss": 0.771,
+      "step": 12757
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0512370537938994e-05,
+      "loss": 0.8603,
+      "step": 12758
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0511104967198124e-05,
+      "loss": 0.6995,
+      "step": 12759
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0509839388249548e-05,
+      "loss": 0.8183,
+      "step": 12760
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0508573801113588e-05,
+      "loss": 0.7219,
+      "step": 12761
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0507308205810573e-05,
+      "loss": 0.7685,
+      "step": 12762
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0506042602360823e-05,
+      "loss": 0.7935,
+      "step": 12763
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0504776990784661e-05,
+      "loss": 0.7556,
+      "step": 12764
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0503511371102417e-05,
+      "loss": 0.6818,
+      "step": 12765
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0502245743334409e-05,
+      "loss": 0.6134,
+      "step": 12766
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0500980107500965e-05,
+      "loss": 0.8466,
+      "step": 12767
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0499714463622405e-05,
+      "loss": 0.8076,
+      "step": 12768
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.049844881171906e-05,
+      "loss": 0.9382,
+      "step": 12769
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.049718315181125e-05,
+      "loss": 0.7728,
+      "step": 12770
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0495917483919302e-05,
+      "loss": 0.92,
+      "step": 12771
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.049465180806354e-05,
+      "loss": 0.8634,
+      "step": 12772
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0493386124264292e-05,
+      "loss": 0.8669,
+      "step": 12773
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.049212043254188e-05,
+      "loss": 0.7097,
+      "step": 12774
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0490854732916629e-05,
+      "loss": 0.8876,
+      "step": 12775
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0489589025408866e-05,
+      "loss": 0.8151,
+      "step": 12776
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.048832331003892e-05,
+      "loss": 0.7621,
+      "step": 12777
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.048705758682711e-05,
+      "loss": 0.8122,
+      "step": 12778
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0485791855793768e-05,
+      "loss": 0.9832,
+      "step": 12779
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0484526116959214e-05,
+      "loss": 1.0632,
+      "step": 12780
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0483260370343781e-05,
+      "loss": 0.7413,
+      "step": 12781
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0481994615967791e-05,
+      "loss": 0.8131,
+      "step": 12782
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0480728853851572e-05,
+      "loss": 0.6719,
+      "step": 12783
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.047946308401545e-05,
+      "loss": 0.8193,
+      "step": 12784
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0478197306479752e-05,
+      "loss": 0.7822,
+      "step": 12785
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0476931521264804e-05,
+      "loss": 0.6335,
+      "step": 12786
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.047566572839093e-05,
+      "loss": 0.6763,
+      "step": 12787
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0474399927878464e-05,
+      "loss": 0.8458,
+      "step": 12788
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.047313411974773e-05,
+      "loss": 0.6248,
+      "step": 12789
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0471868304019056e-05,
+      "loss": 0.755,
+      "step": 12790
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0470602480712766e-05,
+      "loss": 0.6878,
+      "step": 12791
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.046933664984919e-05,
+      "loss": 0.9609,
+      "step": 12792
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0468070811448656e-05,
+      "loss": 0.7094,
+      "step": 12793
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.046680496553149e-05,
+      "loss": 0.8126,
+      "step": 12794
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0465539112118024e-05,
+      "loss": 0.8637,
+      "step": 12795
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.046427325122858e-05,
+      "loss": 0.8342,
+      "step": 12796
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0463007382883492e-05,
+      "loss": 0.8992,
+      "step": 12797
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0461741507103083e-05,
+      "loss": 0.7921,
+      "step": 12798
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0460475623907687e-05,
+      "loss": 0.795,
+      "step": 12799
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0459209733317628e-05,
+      "loss": 0.7687,
+      "step": 12800
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0457943835353235e-05,
+      "loss": 0.8537,
+      "step": 12801
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.045667793003484e-05,
+      "loss": 0.8599,
+      "step": 12802
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0455412017382767e-05,
+      "loss": 0.8324,
+      "step": 12803
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.045414609741735e-05,
+      "loss": 0.697,
+      "step": 12804
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0452880170158914e-05,
+      "loss": 0.9041,
+      "step": 12805
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0451614235627791e-05,
+      "loss": 0.7646,
+      "step": 12806
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.045034829384431e-05,
+      "loss": 0.8553,
+      "step": 12807
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0449082344828799e-05,
+      "loss": 0.8357,
+      "step": 12808
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0447816388601588e-05,
+      "loss": 0.7965,
+      "step": 12809
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0446550425183008e-05,
+      "loss": 0.8573,
+      "step": 12810
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0445284454593387e-05,
+      "loss": 0.79,
+      "step": 12811
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0444018476853055e-05,
+      "loss": 0.9337,
+      "step": 12812
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0442752491982345e-05,
+      "loss": 0.7697,
+      "step": 12813
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.044148650000158e-05,
+      "loss": 0.7759,
+      "step": 12814
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0440220500931099e-05,
+      "loss": 0.761,
+      "step": 12815
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0438954494791227e-05,
+      "loss": 0.8696,
+      "step": 12816
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0437688481602297e-05,
+      "loss": 0.7068,
+      "step": 12817
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0436422461384636e-05,
+      "loss": 0.8465,
+      "step": 12818
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0435156434158581e-05,
+      "loss": 0.8898,
+      "step": 12819
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0433890399944458e-05,
+      "loss": 0.7828,
+      "step": 12820
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0432624358762595e-05,
+      "loss": 0.8329,
+      "step": 12821
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0431358310633333e-05,
+      "loss": 0.8466,
+      "step": 12822
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0430092255576991e-05,
+      "loss": 0.7849,
+      "step": 12823
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.042882619361391e-05,
+      "loss": 0.7616,
+      "step": 12824
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0427560124764415e-05,
+      "loss": 0.8596,
+      "step": 12825
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0426294049048845e-05,
+      "loss": 0.7824,
+      "step": 12826
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.042502796648752e-05,
+      "loss": 0.7218,
+      "step": 12827
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0423761877100784e-05,
+      "loss": 0.7344,
+      "step": 12828
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0422495780908961e-05,
+      "loss": 0.8379,
+      "step": 12829
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0421229677932384e-05,
+      "loss": 0.7125,
+      "step": 12830
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0419963568191389e-05,
+      "loss": 0.772,
+      "step": 12831
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0418697451706304e-05,
+      "loss": 0.7191,
+      "step": 12832
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0417431328497462e-05,
+      "loss": 0.6799,
+      "step": 12833
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0416165198585195e-05,
+      "loss": 0.8442,
+      "step": 12834
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0414899061989838e-05,
+      "loss": 0.7438,
+      "step": 12835
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0413632918731722e-05,
+      "loss": 0.769,
+      "step": 12836
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0412366768831178e-05,
+      "loss": 0.8002,
+      "step": 12837
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0411100612308543e-05,
+      "loss": 0.7624,
+      "step": 12838
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0409834449184146e-05,
+      "loss": 0.8658,
+      "step": 12839
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0408568279478324e-05,
+      "loss": 0.8188,
+      "step": 12840
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0407302103211403e-05,
+      "loss": 0.8652,
+      "step": 12841
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0406035920403723e-05,
+      "loss": 0.8998,
+      "step": 12842
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0404769731075612e-05,
+      "loss": 0.8481,
+      "step": 12843
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.040350353524741e-05,
+      "loss": 0.8199,
+      "step": 12844
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0402237332939444e-05,
+      "loss": 0.9166,
+      "step": 12845
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0400971124172055e-05,
+      "loss": 0.6821,
+      "step": 12846
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0399704908965566e-05,
+      "loss": 0.742,
+      "step": 12847
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0398438687340322e-05,
+      "loss": 0.8626,
+      "step": 12848
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0397172459316651e-05,
+      "loss": 0.8328,
+      "step": 12849
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0395906224914887e-05,
+      "loss": 0.8171,
+      "step": 12850
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0394639984155366e-05,
+      "loss": 0.7583,
+      "step": 12851
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.039337373705842e-05,
+      "loss": 0.8471,
+      "step": 12852
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0392107483644386e-05,
+      "loss": 0.7987,
+      "step": 12853
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0390841223933596e-05,
+      "loss": 0.7181,
+      "step": 12854
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0389574957946387e-05,
+      "loss": 0.7659,
+      "step": 12855
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.038830868570309e-05,
+      "loss": 0.8696,
+      "step": 12856
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0387042407224046e-05,
+      "loss": 0.8495,
+      "step": 12857
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0385776122529583e-05,
+      "loss": 0.8459,
+      "step": 12858
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.038450983164004e-05,
+      "loss": 0.7941,
+      "step": 12859
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0383243534575751e-05,
+      "loss": 0.735,
+      "step": 12860
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0381977231357048e-05,
+      "loss": 0.8237,
+      "step": 12861
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0380710922004273e-05,
+      "loss": 0.7573,
+      "step": 12862
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0379444606537754e-05,
+      "loss": 0.7521,
+      "step": 12863
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0378178284977833e-05,
+      "loss": 0.7332,
+      "step": 12864
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0376911957344842e-05,
+      "loss": 0.8011,
+      "step": 12865
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0375645623659118e-05,
+      "loss": 0.7679,
+      "step": 12866
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0374379283940995e-05,
+      "loss": 0.8671,
+      "step": 12867
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.037311293821081e-05,
+      "loss": 0.8525,
+      "step": 12868
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0371846586488901e-05,
+      "loss": 0.7529,
+      "step": 12869
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0370580228795597e-05,
+      "loss": 0.7389,
+      "step": 12870
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0369313865151243e-05,
+      "loss": 0.7349,
+      "step": 12871
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0368047495576168e-05,
+      "loss": 0.8246,
+      "step": 12872
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0366781120090714e-05,
+      "loss": 0.6613,
+      "step": 12873
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0365514738715215e-05,
+      "loss": 0.8854,
+      "step": 12874
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0364248351470005e-05,
+      "loss": 0.8666,
+      "step": 12875
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0362981958375425e-05,
+      "loss": 0.7163,
+      "step": 12876
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0361715559451808e-05,
+      "loss": 0.8899,
+      "step": 12877
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0360449154719495e-05,
+      "loss": 0.7865,
+      "step": 12878
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0359182744198817e-05,
+      "loss": 0.8828,
+      "step": 12879
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0357916327910117e-05,
+      "loss": 0.9273,
+      "step": 12880
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0356649905873727e-05,
+      "loss": 0.8976,
+      "step": 12881
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0355383478109986e-05,
+      "loss": 0.8076,
+      "step": 12882
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0354117044639232e-05,
+      "loss": 0.8675,
+      "step": 12883
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0352850605481804e-05,
+      "loss": 0.8992,
+      "step": 12884
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0351584160658034e-05,
+      "loss": 0.8541,
+      "step": 12885
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0350317710188267e-05,
+      "loss": 0.7331,
+      "step": 12886
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0349051254092837e-05,
+      "loss": 0.7916,
+      "step": 12887
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0347784792392077e-05,
+      "loss": 0.7722,
+      "step": 12888
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0346518325106332e-05,
+      "loss": 0.7371,
+      "step": 12889
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0345251852255934e-05,
+      "loss": 0.8821,
+      "step": 12890
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0343985373861227e-05,
+      "loss": 0.9272,
+      "step": 12891
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0342718889942543e-05,
+      "loss": 0.7751,
+      "step": 12892
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0341452400520227e-05,
+      "loss": 0.7357,
+      "step": 12893
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.034018590561461e-05,
+      "loss": 0.867,
+      "step": 12894
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0338919405246034e-05,
+      "loss": 0.7974,
+      "step": 12895
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.033765289943484e-05,
+      "loss": 0.7996,
+      "step": 12896
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0336386388201363e-05,
+      "loss": 0.6261,
+      "step": 12897
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0335119871565938e-05,
+      "loss": 0.775,
+      "step": 12898
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0333853349548912e-05,
+      "loss": 0.7391,
+      "step": 12899
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0332586822170618e-05,
+      "loss": 0.6663,
+      "step": 12900
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0331320289451394e-05,
+      "loss": 0.7102,
+      "step": 12901
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0330053751411587e-05,
+      "loss": 0.8065,
+      "step": 12902
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0328787208071524e-05,
+      "loss": 0.8044,
+      "step": 12903
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0327520659451555e-05,
+      "loss": 0.7295,
+      "step": 12904
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0326254105572012e-05,
+      "loss": 0.8525,
+      "step": 12905
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0324987546453238e-05,
+      "loss": 0.7161,
+      "step": 12906
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0323720982115573e-05,
+      "loss": 0.7863,
+      "step": 12907
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.032245441257935e-05,
+      "loss": 0.8126,
+      "step": 12908
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0321187837864917e-05,
+      "loss": 0.8687,
+      "step": 12909
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0319921257992607e-05,
+      "loss": 0.7575,
+      "step": 12910
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0318654672982766e-05,
+      "loss": 0.737,
+      "step": 12911
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0317388082855725e-05,
+      "loss": 0.7265,
+      "step": 12912
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0316121487631837e-05,
+      "loss": 0.8494,
+      "step": 12913
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0314854887331427e-05,
+      "loss": 0.796,
+      "step": 12914
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0313588281974845e-05,
+      "loss": 0.8163,
+      "step": 12915
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0312321671582427e-05,
+      "loss": 0.7932,
+      "step": 12916
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0311055056174514e-05,
+      "loss": 0.7489,
+      "step": 12917
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0309788435771451e-05,
+      "loss": 0.8368,
+      "step": 12918
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0308521810393569e-05,
+      "loss": 0.7083,
+      "step": 12919
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0307255180061216e-05,
+      "loss": 0.9024,
+      "step": 12920
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0305988544794727e-05,
+      "loss": 0.7677,
+      "step": 12921
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0304721904614447e-05,
+      "loss": 0.7024,
+      "step": 12922
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0303455259540716e-05,
+      "loss": 0.8514,
+      "step": 12923
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0302188609593872e-05,
+      "loss": 0.7522,
+      "step": 12924
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0300921954794258e-05,
+      "loss": 0.9257,
+      "step": 12925
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0299655295162216e-05,
+      "loss": 0.967,
+      "step": 12926
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0298388630718087e-05,
+      "loss": 0.8049,
+      "step": 12927
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0297121961482205e-05,
+      "loss": 0.8032,
+      "step": 12928
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0295855287474921e-05,
+      "loss": 0.8698,
+      "step": 12929
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0294588608716569e-05,
+      "loss": 0.7747,
+      "step": 12930
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0293321925227494e-05,
+      "loss": 0.9139,
+      "step": 12931
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0292055237028036e-05,
+      "loss": 0.7788,
+      "step": 12932
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.029078854413854e-05,
+      "loss": 0.8157,
+      "step": 12933
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.028952184657934e-05,
+      "loss": 0.7436,
+      "step": 12934
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0288255144370784e-05,
+      "loss": 0.8604,
+      "step": 12935
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0286988437533214e-05,
+      "loss": 0.8073,
+      "step": 12936
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0285721726086966e-05,
+      "loss": 0.9456,
+      "step": 12937
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0284455010052385e-05,
+      "loss": 0.6994,
+      "step": 12938
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0283188289449817e-05,
+      "loss": 0.8009,
+      "step": 12939
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0281921564299595e-05,
+      "loss": 0.7734,
+      "step": 12940
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0280654834622069e-05,
+      "loss": 0.847,
+      "step": 12941
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0279388100437574e-05,
+      "loss": 0.7566,
+      "step": 12942
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0278121361766462e-05,
+      "loss": 0.8302,
+      "step": 12943
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0276854618629067e-05,
+      "loss": 0.8165,
+      "step": 12944
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0275587871045731e-05,
+      "loss": 0.7442,
+      "step": 12945
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0274321119036803e-05,
+      "loss": 0.9448,
+      "step": 12946
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.027305436262262e-05,
+      "loss": 0.753,
+      "step": 12947
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0271787601823526e-05,
+      "loss": 0.9125,
+      "step": 12948
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0270520836659866e-05,
+      "loss": 0.7888,
+      "step": 12949
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0269254067151975e-05,
+      "loss": 0.789,
+      "step": 12950
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0267987293320205e-05,
+      "loss": 0.8213,
+      "step": 12951
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0266720515184894e-05,
+      "loss": 0.8324,
+      "step": 12952
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0265453732766387e-05,
+      "loss": 0.7219,
+      "step": 12953
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0264186946085022e-05,
+      "loss": 0.7642,
+      "step": 12954
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.026292015516115e-05,
+      "loss": 0.7169,
+      "step": 12955
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.026165336001511e-05,
+      "loss": 0.779,
+      "step": 12956
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.026038656066724e-05,
+      "loss": 0.9164,
+      "step": 12957
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0259119757137891e-05,
+      "loss": 0.7071,
+      "step": 12958
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0257852949447404e-05,
+      "loss": 0.8321,
+      "step": 12959
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0256586137616123e-05,
+      "loss": 0.7249,
+      "step": 12960
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0255319321664386e-05,
+      "loss": 0.7027,
+      "step": 12961
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0254052501612543e-05,
+      "loss": 0.6997,
+      "step": 12962
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0252785677480934e-05,
+      "loss": 0.933,
+      "step": 12963
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0251518849289905e-05,
+      "loss": 0.7774,
+      "step": 12964
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.02502520170598e-05,
+      "loss": 0.8374,
+      "step": 12965
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0248985180810958e-05,
+      "loss": 0.8332,
+      "step": 12966
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0247718340563728e-05,
+      "loss": 0.7136,
+      "step": 12967
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.024645149633845e-05,
+      "loss": 0.8478,
+      "step": 12968
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0245184648155472e-05,
+      "loss": 0.811,
+      "step": 12969
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0243917796035135e-05,
+      "loss": 0.881,
+      "step": 12970
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0242650939997786e-05,
+      "loss": 0.8716,
+      "step": 12971
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0241384080063761e-05,
+      "loss": 0.7568,
+      "step": 12972
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0240117216253416e-05,
+      "loss": 0.8096,
+      "step": 12973
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0238850348587088e-05,
+      "loss": 0.7372,
+      "step": 12974
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.023758347708512e-05,
+      "loss": 0.7957,
+      "step": 12975
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0236316601767862e-05,
+      "loss": 0.7876,
+      "step": 12976
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0235049722655654e-05,
+      "loss": 0.8352,
+      "step": 12977
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0233782839768843e-05,
+      "loss": 0.7884,
+      "step": 12978
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0232515953127771e-05,
+      "loss": 0.7684,
+      "step": 12979
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0231249062752787e-05,
+      "loss": 0.824,
+      "step": 12980
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0229982168664227e-05,
+      "loss": 0.7871,
+      "step": 12981
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0228715270882448e-05,
+      "loss": 0.7617,
+      "step": 12982
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0227448369427786e-05,
+      "loss": 0.7607,
+      "step": 12983
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0226181464320589e-05,
+      "loss": 0.8351,
+      "step": 12984
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.02249145555812e-05,
+      "loss": 0.7677,
+      "step": 12985
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0223647643229966e-05,
+      "loss": 0.801,
+      "step": 12986
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.022238072728723e-05,
+      "loss": 0.8865,
+      "step": 12987
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.022111380777334e-05,
+      "loss": 0.8151,
+      "step": 12988
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0219846884708638e-05,
+      "loss": 0.7475,
+      "step": 12989
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0218579958113468e-05,
+      "loss": 0.8215,
+      "step": 12990
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0217313028008183e-05,
+      "loss": 0.9179,
+      "step": 12991
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0216046094413117e-05,
+      "loss": 0.8792,
+      "step": 12992
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0214779157348627e-05,
+      "loss": 0.7563,
+      "step": 12993
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0213512216835052e-05,
+      "loss": 0.9051,
+      "step": 12994
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0212245272892733e-05,
+      "loss": 0.8394,
+      "step": 12995
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0210978325542027e-05,
+      "loss": 0.606,
+      "step": 12996
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.020971137480327e-05,
+      "loss": 0.8216,
+      "step": 12997
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0208444420696812e-05,
+      "loss": 0.8922,
+      "step": 12998
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0207177463242998e-05,
+      "loss": 0.659,
+      "step": 12999
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0205910502462174e-05,
+      "loss": 0.7775,
+      "step": 13000
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0204643538374685e-05,
+      "loss": 0.8289,
+      "step": 13001
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0203376571000879e-05,
+      "loss": 0.6668,
+      "step": 13002
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0202109600361098e-05,
+      "loss": 0.7206,
+      "step": 13003
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0200842626475689e-05,
+      "loss": 0.7523,
+      "step": 13004
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0199575649365002e-05,
+      "loss": 0.8835,
+      "step": 13005
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0198308669049377e-05,
+      "loss": 0.7541,
+      "step": 13006
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0197041685549166e-05,
+      "loss": 0.7952,
+      "step": 13007
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.019577469888471e-05,
+      "loss": 0.8371,
+      "step": 13008
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.019450770907636e-05,
+      "loss": 0.8696,
+      "step": 13009
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.019324071614446e-05,
+      "loss": 0.9646,
+      "step": 13010
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0191973720109354e-05,
+      "loss": 0.8596,
+      "step": 13011
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.019070672099139e-05,
+      "loss": 0.7655,
+      "step": 13012
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0189439718810919e-05,
+      "loss": 0.844,
+      "step": 13013
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0188172713588282e-05,
+      "loss": 0.8599,
+      "step": 13014
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0186905705343826e-05,
+      "loss": 0.9294,
+      "step": 13015
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.01856386940979e-05,
+      "loss": 0.8174,
+      "step": 13016
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0184371679870845e-05,
+      "loss": 0.7532,
+      "step": 13017
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0183104662683016e-05,
+      "loss": 0.833,
+      "step": 13018
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0181837642554753e-05,
+      "loss": 0.8363,
+      "step": 13019
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.018057061950641e-05,
+      "loss": 0.7598,
+      "step": 13020
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0179303593558323e-05,
+      "loss": 0.8148,
+      "step": 13021
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0178036564730849e-05,
+      "loss": 0.8286,
+      "step": 13022
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0176769533044331e-05,
+      "loss": 0.7894,
+      "step": 13023
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0175502498519115e-05,
+      "loss": 0.7745,
+      "step": 13024
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0174235461175547e-05,
+      "loss": 0.8368,
+      "step": 13025
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0172968421033977e-05,
+      "loss": 0.7272,
+      "step": 13026
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0171701378114751e-05,
+      "loss": 0.7678,
+      "step": 13027
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0170434332438217e-05,
+      "loss": 0.799,
+      "step": 13028
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0169167284024718e-05,
+      "loss": 0.8308,
+      "step": 13029
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.016790023289461e-05,
+      "loss": 0.7152,
+      "step": 13030
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0166633179068232e-05,
+      "loss": 0.745,
+      "step": 13031
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0165366122565931e-05,
+      "loss": 0.8217,
+      "step": 13032
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0164099063408062e-05,
+      "loss": 0.7455,
+      "step": 13033
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0162832001614966e-05,
+      "loss": 0.7324,
+      "step": 13034
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.016156493720699e-05,
+      "loss": 0.8017,
+      "step": 13035
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0160297870204486e-05,
+      "loss": 0.8795,
+      "step": 13036
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0159030800627796e-05,
+      "loss": 0.9268,
+      "step": 13037
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0157763728497275e-05,
+      "loss": 0.7126,
+      "step": 13038
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.015649665383326e-05,
+      "loss": 0.9349,
+      "step": 13039
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0155229576656112e-05,
+      "loss": 0.8226,
+      "step": 13040
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0153962496986166e-05,
+      "loss": 0.7117,
+      "step": 13041
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0152695414843778e-05,
+      "loss": 0.7877,
+      "step": 13042
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0151428330249294e-05,
+      "loss": 0.853,
+      "step": 13043
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0150161243223058e-05,
+      "loss": 0.8117,
+      "step": 13044
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0148894153785422e-05,
+      "loss": 0.7157,
+      "step": 13045
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0147627061956731e-05,
+      "loss": 0.7539,
+      "step": 13046
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0146359967757337e-05,
+      "loss": 0.8472,
+      "step": 13047
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0145092871207583e-05,
+      "loss": 0.8331,
+      "step": 13048
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.014382577232782e-05,
+      "loss": 0.7106,
+      "step": 13049
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0142558671138394e-05,
+      "loss": 0.8725,
+      "step": 13050
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0141291567659658e-05,
+      "loss": 0.7122,
+      "step": 13051
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0140024461911955e-05,
+      "loss": 0.7985,
+      "step": 13052
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0138757353915632e-05,
+      "loss": 0.9142,
+      "step": 13053
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0137490243691044e-05,
+      "loss": 0.8544,
+      "step": 13054
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0136223131258532e-05,
+      "loss": 0.6554,
+      "step": 13055
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0134956016638446e-05,
+      "loss": 0.9578,
+      "step": 13056
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0133688899851137e-05,
+      "loss": 0.9009,
+      "step": 13057
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0132421780916954e-05,
+      "loss": 0.7475,
+      "step": 13058
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.013115465985624e-05,
+      "loss": 0.9347,
+      "step": 13059
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.012988753668935e-05,
+      "loss": 0.8553,
+      "step": 13060
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0128620411436626e-05,
+      "loss": 0.6838,
+      "step": 13061
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.012735328411842e-05,
+      "loss": 0.724,
+      "step": 13062
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0126086154755079e-05,
+      "loss": 0.8595,
+      "step": 13063
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0124819023366954e-05,
+      "loss": 0.8147,
+      "step": 13064
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.012355188997439e-05,
+      "loss": 0.8356,
+      "step": 13065
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0122284754597738e-05,
+      "loss": 0.753,
+      "step": 13066
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0121017617257349e-05,
+      "loss": 0.6869,
+      "step": 13067
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0119750477973564e-05,
+      "loss": 0.8655,
+      "step": 13068
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.011848333676674e-05,
+      "loss": 0.8587,
+      "step": 13069
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0117216193657221e-05,
+      "loss": 0.8442,
+      "step": 13070
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0115949048665356e-05,
+      "loss": 0.866,
+      "step": 13071
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0114681901811496e-05,
+      "loss": 0.7202,
+      "step": 13072
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.011341475311599e-05,
+      "loss": 0.7816,
+      "step": 13073
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.011214760259918e-05,
+      "loss": 0.831,
+      "step": 13074
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0110880450281424e-05,
+      "loss": 0.7686,
+      "step": 13075
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0109613296183067e-05,
+      "loss": 0.6982,
+      "step": 13076
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0108346140324457e-05,
+      "loss": 0.8653,
+      "step": 13077
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0107078982725942e-05,
+      "loss": 0.7333,
+      "step": 13078
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0105811823407874e-05,
+      "loss": 0.8074,
+      "step": 13079
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.01045446623906e-05,
+      "loss": 0.7702,
+      "step": 13080
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0103277499694472e-05,
+      "loss": 0.9051,
+      "step": 13081
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0102010335339835e-05,
+      "loss": 0.8342,
+      "step": 13082
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.010074316934704e-05,
+      "loss": 0.7353,
+      "step": 13083
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0099476001736434e-05,
+      "loss": 0.8543,
+      "step": 13084
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0098208832528373e-05,
+      "loss": 0.9135,
+      "step": 13085
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0096941661743196e-05,
+      "loss": 0.9018,
+      "step": 13086
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0095674489401262e-05,
+      "loss": 0.7867,
+      "step": 13087
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0094407315522912e-05,
+      "loss": 0.8456,
+      "step": 13088
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0093140140128502e-05,
+      "loss": 0.8377,
+      "step": 13089
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0091872963238376e-05,
+      "loss": 0.7512,
+      "step": 13090
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0090605784872884e-05,
+      "loss": 0.6982,
+      "step": 13091
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0089338605052379e-05,
+      "loss": 0.7883,
+      "step": 13092
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0088071423797206e-05,
+      "loss": 0.7865,
+      "step": 13093
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.008680424112772e-05,
+      "loss": 0.6877,
+      "step": 13094
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.008553705706426e-05,
+      "loss": 0.7522,
+      "step": 13095
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0084269871627189e-05,
+      "loss": 0.791,
+      "step": 13096
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0083002684836845e-05,
+      "loss": 0.8197,
+      "step": 13097
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0081735496713582e-05,
+      "loss": 0.7073,
+      "step": 13098
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0080468307277751e-05,
+      "loss": 0.6171,
+      "step": 13099
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.00792011165497e-05,
+      "loss": 0.7919,
+      "step": 13100
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0077933924549778e-05,
+      "loss": 0.832,
+      "step": 13101
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0076666731298334e-05,
+      "loss": 0.7762,
+      "step": 13102
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.007539953681572e-05,
+      "loss": 0.6638,
+      "step": 13103
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0074132341122282e-05,
+      "loss": 0.7757,
+      "step": 13104
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0072865144238373e-05,
+      "loss": 0.7577,
+      "step": 13105
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.007159794618434e-05,
+      "loss": 0.7856,
+      "step": 13106
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0070330746980534e-05,
+      "loss": 0.7075,
+      "step": 13107
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0069063546647304e-05,
+      "loss": 0.7385,
+      "step": 13108
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0067796345205002e-05,
+      "loss": 0.8931,
+      "step": 13109
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0066529142673976e-05,
+      "loss": 0.9166,
+      "step": 13110
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0065261939074571e-05,
+      "loss": 0.7795,
+      "step": 13111
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0063994734427145e-05,
+      "loss": 0.8133,
+      "step": 13112
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0062727528752042e-05,
+      "loss": 0.8847,
+      "step": 13113
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0061460322069613e-05,
+      "loss": 0.8295,
+      "step": 13114
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.006019311440021e-05,
+      "loss": 0.7292,
+      "step": 13115
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.005892590576418e-05,
+      "loss": 0.7784,
+      "step": 13116
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0057658696181875e-05,
+      "loss": 0.8573,
+      "step": 13117
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.005639148567364e-05,
+      "loss": 0.7585,
+      "step": 13118
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0055124274259833e-05,
+      "loss": 0.8002,
+      "step": 13119
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0053857061960798e-05,
+      "loss": 0.8717,
+      "step": 13120
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0052589848796882e-05,
+      "loss": 0.7746,
+      "step": 13121
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0051322634788446e-05,
+      "loss": 0.8166,
+      "step": 13122
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0050055419955829e-05,
+      "loss": 0.7718,
+      "step": 13123
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0048788204319383e-05,
+      "loss": 0.6471,
+      "step": 13124
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0047520987899463e-05,
+      "loss": 0.8324,
+      "step": 13125
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0046253770716412e-05,
+      "loss": 0.8291,
+      "step": 13126
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0044986552790586e-05,
+      "loss": 0.8683,
+      "step": 13127
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.004371933414233e-05,
+      "loss": 0.8685,
+      "step": 13128
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0042452114791998e-05,
+      "loss": 0.7322,
+      "step": 13129
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.004118489475994e-05,
+      "loss": 0.6425,
+      "step": 13130
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0039917674066499e-05,
+      "loss": 0.7777,
+      "step": 13131
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0038650452732035e-05,
+      "loss": 0.8024,
+      "step": 13132
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0037383230776891e-05,
+      "loss": 0.9379,
+      "step": 13133
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.003611600822142e-05,
+      "loss": 0.7722,
+      "step": 13134
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0034848785085969e-05,
+      "loss": 0.7339,
+      "step": 13135
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0033581561390892e-05,
+      "loss": 0.7452,
+      "step": 13136
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0032314337156537e-05,
+      "loss": 0.9514,
+      "step": 13137
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0031047112403255e-05,
+      "loss": 0.834,
+      "step": 13138
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0029779887151397e-05,
+      "loss": 0.7962,
+      "step": 13139
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0028512661421306e-05,
+      "loss": 0.7186,
+      "step": 13140
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.002724543523334e-05,
+      "loss": 0.8425,
+      "step": 13141
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0025978208607847e-05,
+      "loss": 0.9046,
+      "step": 13142
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0024710981565177e-05,
+      "loss": 0.7053,
+      "step": 13143
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0023443754125678e-05,
+      "loss": 0.8664,
+      "step": 13144
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0022176526309703e-05,
+      "loss": 0.6937,
+      "step": 13145
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.00209092981376e-05,
+      "loss": 0.7545,
+      "step": 13146
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0019642069629723e-05,
+      "loss": 0.8493,
+      "step": 13147
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0018374840806416e-05,
+      "loss": 0.7656,
+      "step": 13148
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0017107611688031e-05,
+      "loss": 0.7813,
+      "step": 13149
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0015840382294922e-05,
+      "loss": 0.878,
+      "step": 13150
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0014573152647433e-05,
+      "loss": 0.751,
+      "step": 13151
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0013305922765919e-05,
+      "loss": 0.6448,
+      "step": 13152
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.001203869267073e-05,
+      "loss": 0.8409,
+      "step": 13153
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0010771462382214e-05,
+      "loss": 0.9041,
+      "step": 13154
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.000950423192072e-05,
+      "loss": 0.8006,
+      "step": 13155
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0008237001306602e-05,
+      "loss": 0.8284,
+      "step": 13156
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0006969770560207e-05,
+      "loss": 0.8515,
+      "step": 13157
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0005702539701888e-05,
+      "loss": 0.8075,
+      "step": 13158
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0004435308751993e-05,
+      "loss": 0.729,
+      "step": 13159
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0003168077730867e-05,
+      "loss": 0.7603,
+      "step": 13160
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0001900846658872e-05,
+      "loss": 0.8628,
+      "step": 13161
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.000063361555635e-05,
+      "loss": 0.8351,
+      "step": 13162
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.999366384443652e-06,
+      "loss": 0.7056,
+      "step": 13163
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.998099153341131e-06,
+      "loss": 0.7474,
+      "step": 13164
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.996831922269135e-06,
+      "loss": 0.7241,
+      "step": 13165
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.995564691248013e-06,
+      "loss": 0.8827,
+      "step": 13166
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.994297460298114e-06,
+      "loss": 0.7081,
+      "step": 13167
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.993030229439795e-06,
+      "loss": 0.7029,
+      "step": 13168
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.991762998693401e-06,
+      "loss": 0.7679,
+      "step": 13169
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.990495768079283e-06,
+      "loss": 0.8253,
+      "step": 13170
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.989228537617792e-06,
+      "loss": 0.7439,
+      "step": 13171
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.987961307329272e-06,
+      "loss": 0.7339,
+      "step": 13172
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.986694077234083e-06,
+      "loss": 0.8068,
+      "step": 13173
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.985426847352569e-06,
+      "loss": 0.8562,
+      "step": 13174
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.984159617705083e-06,
+      "loss": 0.7904,
+      "step": 13175
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.98289238831197e-06,
+      "loss": 0.8561,
+      "step": 13176
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.981625159193587e-06,
+      "loss": 0.8555,
+      "step": 13177
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.980357930370282e-06,
+      "loss": 0.7702,
+      "step": 13178
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.979090701862403e-06,
+      "loss": 0.8846,
+      "step": 13179
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.977823473690302e-06,
+      "loss": 0.7126,
+      "step": 13180
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.976556245874322e-06,
+      "loss": 0.822,
+      "step": 13181
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.975289018434826e-06,
+      "loss": 0.6665,
+      "step": 13182
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.974021791392155e-06,
+      "loss": 0.7112,
+      "step": 13183
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.972754564766663e-06,
+      "loss": 0.7682,
+      "step": 13184
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.971487338578694e-06,
+      "loss": 0.7539,
+      "step": 13185
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.970220112848607e-06,
+      "loss": 0.7509,
+      "step": 13186
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.968952887596748e-06,
+      "loss": 0.7664,
+      "step": 13187
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.967685662843466e-06,
+      "loss": 0.8401,
+      "step": 13188
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.966418438609111e-06,
+      "loss": 0.7616,
+      "step": 13189
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.965151214914031e-06,
+      "loss": 0.8005,
+      "step": 13190
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.963883991778582e-06,
+      "loss": 0.9228,
+      "step": 13191
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.962616769223112e-06,
+      "loss": 0.7633,
+      "step": 13192
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.96134954726797e-06,
+      "loss": 0.8639,
+      "step": 13193
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.9600823259335e-06,
+      "loss": 0.8811,
+      "step": 13194
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.958815105240064e-06,
+      "loss": 0.7538,
+      "step": 13195
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.957547885208005e-06,
+      "loss": 0.6274,
+      "step": 13196
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.956280665857672e-06,
+      "loss": 0.8697,
+      "step": 13197
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.95501344720942e-06,
+      "loss": 0.6996,
+      "step": 13198
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.953746229283589e-06,
+      "loss": 0.7418,
+      "step": 13199
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.95247901210054e-06,
+      "loss": 0.9237,
+      "step": 13200
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.95121179568062e-06,
+      "loss": 0.8232,
+      "step": 13201
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.949944580044176e-06,
+      "loss": 0.7477,
+      "step": 13202
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.948677365211558e-06,
+      "loss": 0.8896,
+      "step": 13203
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.94741015120312e-06,
+      "loss": 0.6879,
+      "step": 13204
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.946142938039205e-06,
+      "loss": 0.9076,
+      "step": 13205
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.944875725740169e-06,
+      "loss": 0.7971,
+      "step": 13206
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.943608514326362e-06,
+      "loss": 0.8023,
+      "step": 13207
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.942341303818128e-06,
+      "loss": 0.8268,
+      "step": 13208
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.941074094235823e-06,
+      "loss": 0.7093,
+      "step": 13209
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.939806885599795e-06,
+      "loss": 0.7123,
+      "step": 13210
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.938539677930388e-06,
+      "loss": 0.6471,
+      "step": 13211
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.93727247124796e-06,
+      "loss": 0.7785,
+      "step": 13212
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.936005265572857e-06,
+      "loss": 0.6861,
+      "step": 13213
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.93473806092543e-06,
+      "loss": 0.7199,
+      "step": 13214
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.93347085732603e-06,
+      "loss": 0.8232,
+      "step": 13215
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.932203654795001e-06,
+      "loss": 0.9028,
+      "step": 13216
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.930936453352696e-06,
+      "loss": 0.923,
+      "step": 13217
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.929669253019468e-06,
+      "loss": 0.6711,
+      "step": 13218
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.928402053815664e-06,
+      "loss": 0.7375,
+      "step": 13219
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.92713485576163e-06,
+      "loss": 0.8433,
+      "step": 13220
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.925867658877718e-06,
+      "loss": 0.767,
+      "step": 13221
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.924600463184282e-06,
+      "loss": 0.7109,
+      "step": 13222
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.923333268701669e-06,
+      "loss": 0.8147,
+      "step": 13223
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.922066075450227e-06,
+      "loss": 0.7904,
+      "step": 13224
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.9207988834503e-06,
+      "loss": 0.7829,
+      "step": 13225
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.91953169272225e-06,
+      "loss": 0.947,
+      "step": 13226
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.91826450328642e-06,
+      "loss": 0.8317,
+      "step": 13227
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.916997315163159e-06,
+      "loss": 0.7269,
+      "step": 13228
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.915730128372816e-06,
+      "loss": 0.7368,
+      "step": 13229
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.91446294293574e-06,
+      "loss": 0.7399,
+      "step": 13230
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.913195758872284e-06,
+      "loss": 0.8924,
+      "step": 13231
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.911928576202798e-06,
+      "loss": 0.9414,
+      "step": 13232
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.910661394947626e-06,
+      "loss": 0.8683,
+      "step": 13233
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.909394215127118e-06,
+      "loss": 0.7495,
+      "step": 13234
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.908127036761628e-06,
+      "loss": 0.7193,
+      "step": 13235
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.906859859871503e-06,
+      "loss": 0.8431,
+      "step": 13236
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.905592684477091e-06,
+      "loss": 0.8664,
+      "step": 13237
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.904325510598743e-06,
+      "loss": 0.8129,
+      "step": 13238
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.903058338256804e-06,
+      "loss": 0.7404,
+      "step": 13239
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.90179116747163e-06,
+      "loss": 0.755,
+      "step": 13240
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.900523998263567e-06,
+      "loss": 0.8485,
+      "step": 13241
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.899256830652965e-06,
+      "loss": 0.9257,
+      "step": 13242
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.897989664660168e-06,
+      "loss": 0.8641,
+      "step": 13243
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.89672250030553e-06,
+      "loss": 0.8262,
+      "step": 13244
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.895455337609402e-06,
+      "loss": 0.817,
+      "step": 13245
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.894188176592129e-06,
+      "loss": 0.7267,
+      "step": 13246
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.892921017274062e-06,
+      "loss": 0.8304,
+      "step": 13247
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.891653859675548e-06,
+      "loss": 0.7694,
+      "step": 13248
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.890386703816936e-06,
+      "loss": 0.895,
+      "step": 13249
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.889119549718577e-06,
+      "loss": 0.8846,
+      "step": 13250
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.887852397400823e-06,
+      "loss": 0.8324,
+      "step": 13251
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.886585246884014e-06,
+      "loss": 0.7167,
+      "step": 13252
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.885318098188507e-06,
+      "loss": 0.7525,
+      "step": 13253
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.884050951334645e-06,
+      "loss": 0.8912,
+      "step": 13254
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.88278380634278e-06,
+      "loss": 0.8944,
+      "step": 13255
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.881516663233263e-06,
+      "loss": 0.979,
+      "step": 13256
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.880249522026436e-06,
+      "loss": 0.7191,
+      "step": 13257
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.878982382742654e-06,
+      "loss": 0.8444,
+      "step": 13258
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.877715245402263e-06,
+      "loss": 0.8976,
+      "step": 13259
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.876448110025615e-06,
+      "loss": 0.9349,
+      "step": 13260
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.875180976633047e-06,
+      "loss": 0.9032,
+      "step": 13261
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.873913845244923e-06,
+      "loss": 0.76,
+      "step": 13262
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.872646715881585e-06,
+      "loss": 0.8046,
+      "step": 13263
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.871379588563379e-06,
+      "loss": 0.7968,
+      "step": 13264
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.870112463310656e-06,
+      "loss": 0.9084,
+      "step": 13265
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.868845340143762e-06,
+      "loss": 0.7968,
+      "step": 13266
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.867578219083049e-06,
+      "loss": 0.7899,
+      "step": 13267
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.866311100148865e-06,
+      "loss": 0.9107,
+      "step": 13268
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.865043983361557e-06,
+      "loss": 0.8516,
+      "step": 13269
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.86377686874147e-06,
+      "loss": 0.8291,
+      "step": 13270
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.86250975630896e-06,
+      "loss": 0.7126,
+      "step": 13271
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.86124264608437e-06,
+      "loss": 0.896,
+      "step": 13272
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.85997553808805e-06,
+      "loss": 0.7536,
+      "step": 13273
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.858708432340347e-06,
+      "loss": 0.9715,
+      "step": 13274
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.857441328861606e-06,
+      "loss": 0.7752,
+      "step": 13275
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.856174227672183e-06,
+      "loss": 0.7006,
+      "step": 13276
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.85490712879242e-06,
+      "loss": 0.8147,
+      "step": 13277
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.853640032242668e-06,
+      "loss": 0.9287,
+      "step": 13278
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.85237293804327e-06,
+      "loss": 0.8754,
+      "step": 13279
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.85110584621458e-06,
+      "loss": 0.9124,
+      "step": 13280
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.849838756776946e-06,
+      "loss": 0.8014,
+      "step": 13281
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.848571669750711e-06,
+      "loss": 0.9079,
+      "step": 13282
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.847304585156222e-06,
+      "loss": 0.6881,
+      "step": 13283
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.846037503013834e-06,
+      "loss": 0.9217,
+      "step": 13284
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.844770423343893e-06,
+      "loss": 0.8454,
+      "step": 13285
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.843503346166741e-06,
+      "loss": 0.8825,
+      "step": 13286
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.84223627150273e-06,
+      "loss": 0.8433,
+      "step": 13287
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.840969199372204e-06,
+      "loss": 0.8713,
+      "step": 13288
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.839702129795518e-06,
+      "loss": 0.8664,
+      "step": 13289
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.838435062793013e-06,
+      "loss": 0.7449,
+      "step": 13290
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.83716799838504e-06,
+      "loss": 0.8301,
+      "step": 13291
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.835900936591941e-06,
+      "loss": 0.8928,
+      "step": 13292
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.83463387743407e-06,
+      "loss": 0.8418,
+      "step": 13293
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.833366820931771e-06,
+      "loss": 0.7434,
+      "step": 13294
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.832099767105393e-06,
+      "loss": 0.6443,
+      "step": 13295
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.830832715975283e-06,
+      "loss": 0.7558,
+      "step": 13296
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.829565667561786e-06,
+      "loss": 0.7623,
+      "step": 13297
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.828298621885252e-06,
+      "loss": 0.87,
+      "step": 13298
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.827031578966026e-06,
+      "loss": 0.8095,
+      "step": 13299
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.825764538824454e-06,
+      "loss": 0.8077,
+      "step": 13300
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.824497501480887e-06,
+      "loss": 0.809,
+      "step": 13301
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.823230466955672e-06,
+      "loss": 0.6402,
+      "step": 13302
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.821963435269155e-06,
+      "loss": 0.8368,
+      "step": 13303
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.82069640644168e-06,
+      "loss": 0.7075,
+      "step": 13304
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.819429380493597e-06,
+      "loss": 0.7346,
+      "step": 13305
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.818162357445247e-06,
+      "loss": 0.7563,
+      "step": 13306
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.816895337316985e-06,
+      "loss": 0.651,
+      "step": 13307
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.815628320129156e-06,
+      "loss": 0.7464,
+      "step": 13308
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.814361305902105e-06,
+      "loss": 0.8643,
+      "step": 13309
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.813094294656175e-06,
+      "loss": 0.7497,
+      "step": 13310
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.811827286411721e-06,
+      "loss": 0.7958,
+      "step": 13311
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.810560281189085e-06,
+      "loss": 0.8011,
+      "step": 13312
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.809293279008613e-06,
+      "loss": 0.6998,
+      "step": 13313
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.808026279890651e-06,
+      "loss": 0.6941,
+      "step": 13314
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.806759283855542e-06,
+      "loss": 0.7325,
+      "step": 13315
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.805492290923643e-06,
+      "loss": 0.8258,
+      "step": 13316
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.804225301115292e-06,
+      "loss": 0.701,
+      "step": 13317
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.802958314450839e-06,
+      "loss": 0.8164,
+      "step": 13318
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.801691330950623e-06,
+      "loss": 0.8847,
+      "step": 13319
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.800424350635e-06,
+      "loss": 0.9464,
+      "step": 13320
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.799157373524313e-06,
+      "loss": 0.7906,
+      "step": 13321
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.797890399638907e-06,
+      "loss": 0.79,
+      "step": 13322
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.796623428999126e-06,
+      "loss": 0.7063,
+      "step": 13323
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.795356461625317e-06,
+      "loss": 0.6751,
+      "step": 13324
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.794089497537827e-06,
+      "loss": 0.637,
+      "step": 13325
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.792822536757004e-06,
+      "loss": 0.6254,
+      "step": 13326
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.791555579303192e-06,
+      "loss": 0.8106,
+      "step": 13327
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.79028862519673e-06,
+      "loss": 0.78,
+      "step": 13328
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.789021674457977e-06,
+      "loss": 0.8559,
+      "step": 13329
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.787754727107269e-06,
+      "loss": 0.953,
+      "step": 13330
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.786487783164953e-06,
+      "loss": 0.7979,
+      "step": 13331
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.785220842651378e-06,
+      "loss": 0.7526,
+      "step": 13332
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.783953905586883e-06,
+      "loss": 0.8106,
+      "step": 13333
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.78268697199182e-06,
+      "loss": 0.6798,
+      "step": 13334
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.781420041886535e-06,
+      "loss": 0.8115,
+      "step": 13335
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.780153115291367e-06,
+      "loss": 0.7622,
+      "step": 13336
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.778886192226664e-06,
+      "loss": 0.7654,
+      "step": 13337
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.777619272712774e-06,
+      "loss": 0.7733,
+      "step": 13338
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.776352356770037e-06,
+      "loss": 0.7803,
+      "step": 13339
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.775085444418802e-06,
+      "loss": 0.7655,
+      "step": 13340
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.773818535679413e-06,
+      "loss": 0.8499,
+      "step": 13341
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.772551630572215e-06,
+      "loss": 0.7712,
+      "step": 13342
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.771284729117555e-06,
+      "loss": 0.7807,
+      "step": 13343
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.770017831335774e-06,
+      "loss": 0.7995,
+      "step": 13344
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.768750937247216e-06,
+      "loss": 0.8002,
+      "step": 13345
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.76748404687223e-06,
+      "loss": 0.758,
+      "step": 13346
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.766217160231159e-06,
+      "loss": 0.9097,
+      "step": 13347
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.764950277344349e-06,
+      "loss": 0.8454,
+      "step": 13348
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.763683398232143e-06,
+      "loss": 0.7322,
+      "step": 13349
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.76241652291488e-06,
+      "loss": 0.935,
+      "step": 13350
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.761149651412915e-06,
+      "loss": 0.7527,
+      "step": 13351
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.759882783746588e-06,
+      "loss": 0.8269,
+      "step": 13352
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.75861591993624e-06,
+      "loss": 0.9044,
+      "step": 13353
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.757349060002221e-06,
+      "loss": 0.6993,
+      "step": 13354
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.756082203964867e-06,
+      "loss": 1.0349,
+      "step": 13355
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.75481535184453e-06,
+      "loss": 0.9498,
+      "step": 13356
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.753548503661552e-06,
+      "loss": 0.9078,
+      "step": 13357
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.752281659436277e-06,
+      "loss": 0.7638,
+      "step": 13358
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.751014819189042e-06,
+      "loss": 0.8249,
+      "step": 13359
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.749747982940203e-06,
+      "loss": 0.7606,
+      "step": 13360
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.748481150710097e-06,
+      "loss": 0.7863,
+      "step": 13361
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.747214322519069e-06,
+      "loss": 1.0023,
+      "step": 13362
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.745947498387462e-06,
+      "loss": 0.739,
+      "step": 13363
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.744680678335614e-06,
+      "loss": 0.8817,
+      "step": 13364
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.74341386238388e-06,
+      "loss": 0.7771,
+      "step": 13365
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.7421470505526e-06,
+      "loss": 0.9445,
+      "step": 13366
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.740880242862112e-06,
+      "loss": 0.9259,
+      "step": 13367
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.73961343933276e-06,
+      "loss": 0.8203,
+      "step": 13368
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.738346639984893e-06,
+      "loss": 0.6934,
+      "step": 13369
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.737079844838852e-06,
+      "loss": 0.7682,
+      "step": 13370
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.73581305391498e-06,
+      "loss": 0.8265,
+      "step": 13371
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.734546267233618e-06,
+      "loss": 0.73,
+      "step": 13372
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.733279484815108e-06,
+      "loss": 0.9489,
+      "step": 13373
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.732012706679797e-06,
+      "loss": 0.7459,
+      "step": 13374
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.730745932848027e-06,
+      "loss": 0.7529,
+      "step": 13375
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.72947916334014e-06,
+      "loss": 0.8845,
+      "step": 13376
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.728212398176476e-06,
+      "loss": 0.7182,
+      "step": 13377
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.726945637377381e-06,
+      "loss": 0.7659,
+      "step": 13378
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.7256788809632e-06,
+      "loss": 0.7161,
+      "step": 13379
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.72441212895427e-06,
+      "loss": 0.804,
+      "step": 13380
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.723145381370938e-06,
+      "loss": 0.7627,
+      "step": 13381
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.721878638233541e-06,
+      "loss": 0.7549,
+      "step": 13382
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.720611899562427e-06,
+      "loss": 0.7414,
+      "step": 13383
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.719345165377933e-06,
+      "loss": 0.8307,
+      "step": 13384
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.718078435700408e-06,
+      "loss": 0.7182,
+      "step": 13385
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.716811710550186e-06,
+      "loss": 0.8151,
+      "step": 13386
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.715544989947616e-06,
+      "loss": 0.7338,
+      "step": 13387
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.714278273913038e-06,
+      "loss": 0.7653,
+      "step": 13388
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.713011562466789e-06,
+      "loss": 0.8764,
+      "step": 13389
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.711744855629218e-06,
+      "loss": 0.8203,
+      "step": 13390
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.71047815342066e-06,
+      "loss": 0.6335,
+      "step": 13391
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.709211455861464e-06,
+      "loss": 0.9394,
+      "step": 13392
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.707944762971965e-06,
+      "loss": 0.6818,
+      "step": 13393
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.70667807477251e-06,
+      "loss": 0.7547,
+      "step": 13394
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.705411391283433e-06,
+      "loss": 0.8339,
+      "step": 13395
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.704144712525082e-06,
+      "loss": 0.6581,
+      "step": 13396
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.702878038517798e-06,
+      "loss": 0.8197,
+      "step": 13397
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.70161136928192e-06,
+      "loss": 0.8239,
+      "step": 13398
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.700344704837786e-06,
+      "loss": 0.8897,
+      "step": 13399
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.699078045205743e-06,
+      "loss": 0.6939,
+      "step": 13400
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.69781139040613e-06,
+      "loss": 0.7149,
+      "step": 13401
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.696544740459289e-06,
+      "loss": 0.7465,
+      "step": 13402
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.695278095385558e-06,
+      "loss": 0.8718,
+      "step": 13403
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.694011455205273e-06,
+      "loss": 0.7496,
+      "step": 13404
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.692744819938787e-06,
+      "loss": 0.7655,
+      "step": 13405
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.691478189606433e-06,
+      "loss": 0.7909,
+      "step": 13406
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.690211564228554e-06,
+      "loss": 0.8328,
+      "step": 13407
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.688944943825484e-06,
+      "loss": 0.7949,
+      "step": 13408
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.687678328417574e-06,
+      "loss": 0.6748,
+      "step": 13409
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.686411718025157e-06,
+      "loss": 0.829,
+      "step": 13410
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.685145112668577e-06,
+      "loss": 0.7744,
+      "step": 13411
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.68387851236817e-06,
+      "loss": 0.7056,
+      "step": 13412
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.682611917144273e-06,
+      "loss": 0.8532,
+      "step": 13413
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.681345327017237e-06,
+      "loss": 0.6252,
+      "step": 13414
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.680078742007395e-06,
+      "loss": 0.8789,
+      "step": 13415
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.678812162135087e-06,
+      "loss": 0.693,
+      "step": 13416
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.67754558742065e-06,
+      "loss": 0.8563,
+      "step": 13417
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.676279017884432e-06,
+      "loss": 1.0043,
+      "step": 13418
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.675012453546766e-06,
+      "loss": 0.6229,
+      "step": 13419
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.673745894427991e-06,
+      "loss": 0.7099,
+      "step": 13420
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.672479340548451e-06,
+      "loss": 0.8395,
+      "step": 13421
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.671212791928476e-06,
+      "loss": 0.7295,
+      "step": 13422
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.669946248588418e-06,
+      "loss": 0.8102,
+      "step": 13423
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.668679710548608e-06,
+      "loss": 0.8084,
+      "step": 13424
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.667413177829387e-06,
+      "loss": 0.7332,
+      "step": 13425
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.666146650451091e-06,
+      "loss": 0.7618,
+      "step": 13426
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.664880128434064e-06,
+      "loss": 0.8687,
+      "step": 13427
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.66361361179864e-06,
+      "loss": 0.7063,
+      "step": 13428
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.662347100565163e-06,
+      "loss": 0.8162,
+      "step": 13429
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.661080594753967e-06,
+      "loss": 0.7154,
+      "step": 13430
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.659814094385391e-06,
+      "loss": 0.7439,
+      "step": 13431
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.658547599479777e-06,
+      "loss": 0.8568,
+      "step": 13432
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.657281110057459e-06,
+      "loss": 0.8761,
+      "step": 13433
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.656014626138776e-06,
+      "loss": 0.643,
+      "step": 13434
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.654748147744066e-06,
+      "loss": 0.8222,
+      "step": 13435
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.653481674893672e-06,
+      "loss": 0.8806,
+      "step": 13436
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.652215207607926e-06,
+      "loss": 0.8411,
+      "step": 13437
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.65094874590717e-06,
+      "loss": 0.8337,
+      "step": 13438
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.649682289811738e-06,
+      "loss": 0.8301,
+      "step": 13439
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.648415839341966e-06,
+      "loss": 0.7975,
+      "step": 13440
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.6471493945182e-06,
+      "loss": 0.7501,
+      "step": 13441
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.645882955360771e-06,
+      "loss": 0.9362,
+      "step": 13442
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.644616521890019e-06,
+      "loss": 0.7513,
+      "step": 13443
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.643350094126275e-06,
+      "loss": 0.7435,
+      "step": 13444
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.642083672089887e-06,
+      "loss": 0.9245,
+      "step": 13445
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.640817255801188e-06,
+      "loss": 0.6623,
+      "step": 13446
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.63955084528051e-06,
+      "loss": 0.7486,
+      "step": 13447
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.638284440548197e-06,
+      "loss": 0.798,
+      "step": 13448
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.637018041624577e-06,
+      "loss": 0.7653,
+      "step": 13449
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.635751648529998e-06,
+      "loss": 0.8505,
+      "step": 13450
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.63448526128479e-06,
+      "loss": 0.6949,
+      "step": 13451
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.633218879909291e-06,
+      "loss": 0.7637,
+      "step": 13452
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.631952504423832e-06,
+      "loss": 0.8135,
+      "step": 13453
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.630686134848759e-06,
+      "loss": 0.7936,
+      "step": 13454
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.629419771204405e-06,
+      "loss": 0.7121,
+      "step": 13455
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.628153413511104e-06,
+      "loss": 0.9343,
+      "step": 13456
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.62688706178919e-06,
+      "loss": 0.8181,
+      "step": 13457
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.625620716059007e-06,
+      "loss": 0.7826,
+      "step": 13458
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.624354376340884e-06,
+      "loss": 0.7512,
+      "step": 13459
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.623088042655161e-06,
+      "loss": 0.8162,
+      "step": 13460
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.62182171502217e-06,
+      "loss": 0.7885,
+      "step": 13461
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.620555393462245e-06,
+      "loss": 0.7101,
+      "step": 13462
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.61928907799573e-06,
+      "loss": 0.7972,
+      "step": 13463
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.618022768642955e-06,
+      "loss": 0.7848,
+      "step": 13464
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.616756465424256e-06,
+      "loss": 0.8057,
+      "step": 13465
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.615490168359964e-06,
+      "loss": 0.7068,
+      "step": 13466
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.614223877470419e-06,
+      "loss": 0.7998,
+      "step": 13467
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.612957592775957e-06,
+      "loss": 0.7692,
+      "step": 13468
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.611691314296913e-06,
+      "loss": 0.7486,
+      "step": 13469
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.610425042053618e-06,
+      "loss": 0.9149,
+      "step": 13470
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.609158776066405e-06,
+      "loss": 0.7894,
+      "step": 13471
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.607892516355618e-06,
+      "loss": 0.7755,
+      "step": 13472
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.606626262941582e-06,
+      "loss": 0.8528,
+      "step": 13473
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.605360015844637e-06,
+      "loss": 0.8755,
+      "step": 13474
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.604093775085114e-06,
+      "loss": 0.8679,
+      "step": 13475
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.60282754068335e-06,
+      "loss": 0.9676,
+      "step": 13476
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.601561312659681e-06,
+      "loss": 0.8191,
+      "step": 13477
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.600295091034436e-06,
+      "loss": 0.8958,
+      "step": 13478
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.59902887582795e-06,
+      "loss": 0.825,
+      "step": 13479
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.597762667060556e-06,
+      "loss": 0.7715,
+      "step": 13480
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.596496464752593e-06,
+      "loss": 0.8798,
+      "step": 13481
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.59523026892439e-06,
+      "loss": 0.7276,
+      "step": 13482
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.593964079596282e-06,
+      "loss": 0.8508,
+      "step": 13483
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.592697896788598e-06,
+      "loss": 0.8101,
+      "step": 13484
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.591431720521681e-06,
+      "loss": 0.7206,
+      "step": 13485
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.590165550815857e-06,
+      "loss": 0.9358,
+      "step": 13486
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.58889938769146e-06,
+      "loss": 0.8402,
+      "step": 13487
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.587633231168825e-06,
+      "loss": 0.698,
+      "step": 13488
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.58636708126828e-06,
+      "loss": 0.7822,
+      "step": 13489
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.585100938010163e-06,
+      "loss": 0.795,
+      "step": 13490
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.583834801414808e-06,
+      "loss": 0.8469,
+      "step": 13491
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.582568671502543e-06,
+      "loss": 0.7478,
+      "step": 13492
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.581302548293698e-06,
+      "loss": 0.8411,
+      "step": 13493
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.580036431808614e-06,
+      "loss": 0.8199,
+      "step": 13494
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.578770322067619e-06,
+      "loss": 0.7044,
+      "step": 13495
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.577504219091044e-06,
+      "loss": 0.9917,
+      "step": 13496
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.576238122899221e-06,
+      "loss": 0.7521,
+      "step": 13497
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.574972033512482e-06,
+      "loss": 0.6532,
+      "step": 13498
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.57370595095116e-06,
+      "loss": 0.8121,
+      "step": 13499
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.572439875235587e-06,
+      "loss": 0.9537,
+      "step": 13500
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.571173806386095e-06,
+      "loss": 0.9093,
+      "step": 13501
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.569907744423009e-06,
+      "loss": 0.7609,
+      "step": 13502
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.56864168936667e-06,
+      "loss": 0.6695,
+      "step": 13503
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.567375641237407e-06,
+      "loss": 0.873,
+      "step": 13504
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.566109600055547e-06,
+      "loss": 0.9147,
+      "step": 13505
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.564843565841424e-06,
+      "loss": 0.6945,
+      "step": 13506
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.563577538615363e-06,
+      "loss": 0.6945,
+      "step": 13507
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.562311518397704e-06,
+      "loss": 0.9749,
+      "step": 13508
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.561045505208775e-06,
+      "loss": 0.7682,
+      "step": 13509
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.559779499068904e-06,
+      "loss": 0.7422,
+      "step": 13510
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.558513499998421e-06,
+      "loss": 0.7846,
+      "step": 13511
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.557247508017657e-06,
+      "loss": 0.8841,
+      "step": 13512
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.555981523146946e-06,
+      "loss": 0.9428,
+      "step": 13513
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.554715545406617e-06,
+      "loss": 0.9511,
+      "step": 13514
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.553449574816995e-06,
+      "loss": 0.9607,
+      "step": 13515
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.552183611398415e-06,
+      "loss": 0.8936,
+      "step": 13516
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.550917655171205e-06,
+      "loss": 0.7533,
+      "step": 13517
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.549651706155692e-06,
+      "loss": 0.7028,
+      "step": 13518
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.54838576437221e-06,
+      "loss": 0.8013,
+      "step": 13519
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.547119829841088e-06,
+      "loss": 0.6879,
+      "step": 13520
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.545853902582653e-06,
+      "loss": 0.7656,
+      "step": 13521
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.544587982617236e-06,
+      "loss": 0.8139,
+      "step": 13522
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.543322069965163e-06,
+      "loss": 0.8087,
+      "step": 13523
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.542056164646765e-06,
+      "loss": 0.8769,
+      "step": 13524
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.540790266682375e-06,
+      "loss": 0.7567,
+      "step": 13525
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.539524376092317e-06,
+      "loss": 0.6729,
+      "step": 13526
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.53825849289692e-06,
+      "loss": 0.7485,
+      "step": 13527
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.536992617116515e-06,
+      "loss": 0.7828,
+      "step": 13528
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.535726748771422e-06,
+      "loss": 0.7605,
+      "step": 13529
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.53446088788198e-06,
+      "loss": 0.9704,
+      "step": 13530
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.533195034468513e-06,
+      "loss": 0.7433,
+      "step": 13531
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.531929188551349e-06,
+      "loss": 0.8012,
+      "step": 13532
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.530663350150812e-06,
+      "loss": 0.8522,
+      "step": 13533
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.529397519287237e-06,
+      "loss": 0.7787,
+      "step": 13534
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.528131695980948e-06,
+      "loss": 0.7906,
+      "step": 13535
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.526865880252273e-06,
+      "loss": 0.8239,
+      "step": 13536
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.52560007212154e-06,
+      "loss": 0.8488,
+      "step": 13537
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.524334271609069e-06,
+      "loss": 0.7738,
+      "step": 13538
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.5230684787352e-06,
+      "loss": 0.7917,
+      "step": 13539
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.521802693520253e-06,
+      "loss": 0.8013,
+      "step": 13540
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.520536915984555e-06,
+      "loss": 0.7267,
+      "step": 13541
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.51927114614843e-06,
+      "loss": 0.7034,
+      "step": 13542
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.51800538403221e-06,
+      "loss": 0.8617,
+      "step": 13543
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.51673962965622e-06,
+      "loss": 0.8311,
+      "step": 13544
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.515473883040789e-06,
+      "loss": 0.8649,
+      "step": 13545
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.514208144206237e-06,
+      "loss": 0.8457,
+      "step": 13546
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.512942413172892e-06,
+      "loss": 0.7826,
+      "step": 13547
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.511676689961084e-06,
+      "loss": 0.7276,
+      "step": 13548
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.510410974591137e-06,
+      "loss": 0.8615,
+      "step": 13549
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.509145267083374e-06,
+      "loss": 0.8366,
+      "step": 13550
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.507879567458122e-06,
+      "loss": 0.725,
+      "step": 13551
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.506613875735711e-06,
+      "loss": 0.7561,
+      "step": 13552
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.505348191936461e-06,
+      "loss": 0.8226,
+      "step": 13553
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.504082516080702e-06,
+      "loss": 0.721,
+      "step": 13554
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.502816848188755e-06,
+      "loss": 0.9025,
+      "step": 13555
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.501551188280942e-06,
+      "loss": 0.7764,
+      "step": 13556
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.500285536377597e-06,
+      "loss": 0.8558,
+      "step": 13557
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.49901989249904e-06,
+      "loss": 0.9279,
+      "step": 13558
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.497754256665596e-06,
+      "loss": 0.8817,
+      "step": 13559
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.496488628897586e-06,
+      "loss": 0.9007,
+      "step": 13560
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.49522300921534e-06,
+      "loss": 0.9146,
+      "step": 13561
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.493957397639178e-06,
+      "loss": 0.8077,
+      "step": 13562
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.49269179418943e-06,
+      "loss": 0.7709,
+      "step": 13563
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.491426198886414e-06,
+      "loss": 0.8148,
+      "step": 13564
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.490160611750456e-06,
+      "loss": 0.7738,
+      "step": 13565
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.488895032801879e-06,
+      "loss": 0.8237,
+      "step": 13566
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.48762946206101e-06,
+      "loss": 0.9441,
+      "step": 13567
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.486363899548165e-06,
+      "loss": 0.7412,
+      "step": 13568
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.485098345283675e-06,
+      "loss": 0.7161,
+      "step": 13569
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.48383279928786e-06,
+      "loss": 0.8442,
+      "step": 13570
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.482567261581044e-06,
+      "loss": 0.8004,
+      "step": 13571
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.48130173218355e-06,
+      "loss": 0.8716,
+      "step": 13572
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.480036211115697e-06,
+      "loss": 0.8629,
+      "step": 13573
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.478770698397814e-06,
+      "loss": 0.7487,
+      "step": 13574
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.47750519405022e-06,
+      "loss": 0.8901,
+      "step": 13575
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.476239698093238e-06,
+      "loss": 0.779,
+      "step": 13576
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.47497421054719e-06,
+      "loss": 0.8501,
+      "step": 13577
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.473708731432395e-06,
+      "loss": 0.8603,
+      "step": 13578
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.472443260769181e-06,
+      "loss": 0.713,
+      "step": 13579
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.471177798577869e-06,
+      "loss": 0.8423,
+      "step": 13580
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.469912344878779e-06,
+      "loss": 0.8663,
+      "step": 13581
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.468646899692227e-06,
+      "loss": 0.8115,
+      "step": 13582
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.467381463038545e-06,
+      "loss": 0.8883,
+      "step": 13583
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.466116034938047e-06,
+      "loss": 0.731,
+      "step": 13584
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.464850615411059e-06,
+      "loss": 0.7191,
+      "step": 13585
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.463585204477898e-06,
+      "loss": 0.7626,
+      "step": 13586
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.462319802158884e-06,
+      "loss": 0.6402,
+      "step": 13587
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.461054408474343e-06,
+      "loss": 0.8064,
+      "step": 13588
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.459789023444595e-06,
+      "loss": 0.7893,
+      "step": 13589
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.458523647089955e-06,
+      "loss": 0.8253,
+      "step": 13590
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.457258279430745e-06,
+      "loss": 0.7095,
+      "step": 13591
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.45599292048729e-06,
+      "loss": 0.6358,
+      "step": 13592
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.454727570279907e-06,
+      "loss": 0.6722,
+      "step": 13593
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.453462228828917e-06,
+      "loss": 0.8936,
+      "step": 13594
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.452196896154639e-06,
+      "loss": 0.754,
+      "step": 13595
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.450931572277387e-06,
+      "loss": 0.7619,
+      "step": 13596
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.44966625721749e-06,
+      "loss": 0.7502,
+      "step": 13597
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.448400950995265e-06,
+      "loss": 0.7994,
+      "step": 13598
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.447135653631028e-06,
+      "loss": 0.7,
+      "step": 13599
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.445870365145097e-06,
+      "loss": 0.8006,
+      "step": 13600
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.444605085557795e-06,
+      "loss": 0.6594,
+      "step": 13601
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.443339814889441e-06,
+      "loss": 0.7468,
+      "step": 13602
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.442074553160353e-06,
+      "loss": 0.8579,
+      "step": 13603
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.440809300390847e-06,
+      "loss": 0.7683,
+      "step": 13604
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.43954405660124e-06,
+      "loss": 0.7303,
+      "step": 13605
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.438278821811857e-06,
+      "loss": 0.655,
+      "step": 13606
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.43701359604301e-06,
+      "loss": 0.8464,
+      "step": 13607
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.435748379315021e-06,
+      "loss": 0.6884,
+      "step": 13608
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.434483171648204e-06,
+      "loss": 0.8003,
+      "step": 13609
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.43321797306288e-06,
+      "loss": 0.9541,
+      "step": 13610
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.431952783579365e-06,
+      "loss": 0.8395,
+      "step": 13611
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.430687603217978e-06,
+      "loss": 0.8067,
+      "step": 13612
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.429422431999033e-06,
+      "loss": 0.7834,
+      "step": 13613
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.428157269942847e-06,
+      "loss": 0.7572,
+      "step": 13614
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.426892117069741e-06,
+      "loss": 0.7543,
+      "step": 13615
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.42562697340003e-06,
+      "loss": 0.8178,
+      "step": 13616
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.42436183895403e-06,
+      "loss": 0.7372,
+      "step": 13617
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.423096713752054e-06,
+      "loss": 0.812,
+      "step": 13618
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.421831597814424e-06,
+      "loss": 0.8382,
+      "step": 13619
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.420566491161456e-06,
+      "loss": 0.6952,
+      "step": 13620
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.419301393813463e-06,
+      "loss": 0.9235,
+      "step": 13621
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.418036305790763e-06,
+      "loss": 0.9131,
+      "step": 13622
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.416771227113665e-06,
+      "loss": 0.8194,
+      "step": 13623
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.415506157802497e-06,
+      "loss": 0.7251,
+      "step": 13624
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.414241097877565e-06,
+      "loss": 0.861,
+      "step": 13625
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.41297604735919e-06,
+      "loss": 0.6987,
+      "step": 13626
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.411711006267676e-06,
+      "loss": 0.6066,
+      "step": 13627
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.410445974623353e-06,
+      "loss": 0.7576,
+      "step": 13628
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.409180952446528e-06,
+      "loss": 0.9049,
+      "step": 13629
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.407915939757516e-06,
+      "loss": 0.7912,
+      "step": 13630
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.40665093657663e-06,
+      "loss": 0.7202,
+      "step": 13631
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.405385942924189e-06,
+      "loss": 0.7307,
+      "step": 13632
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.404120958820505e-06,
+      "loss": 0.7209,
+      "step": 13633
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.402855984285891e-06,
+      "loss": 0.7821,
+      "step": 13634
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.401591019340663e-06,
+      "loss": 0.8402,
+      "step": 13635
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.400326064005128e-06,
+      "loss": 0.8001,
+      "step": 13636
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.39906111829961e-06,
+      "loss": 0.8348,
+      "step": 13637
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.397796182244416e-06,
+      "loss": 0.7594,
+      "step": 13638
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.396531255859863e-06,
+      "loss": 0.7433,
+      "step": 13639
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.395266339166256e-06,
+      "loss": 0.7805,
+      "step": 13640
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.394001432183919e-06,
+      "loss": 0.8874,
+      "step": 13641
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.392736534933159e-06,
+      "loss": 0.7197,
+      "step": 13642
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.391471647434289e-06,
+      "loss": 0.7743,
+      "step": 13643
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.390206769707623e-06,
+      "loss": 0.7527,
+      "step": 13644
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.38894190177347e-06,
+      "loss": 0.7512,
+      "step": 13645
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.387677043652141e-06,
+      "loss": 0.7831,
+      "step": 13646
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.386412195363958e-06,
+      "loss": 0.8836,
+      "step": 13647
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.385147356929224e-06,
+      "loss": 0.811,
+      "step": 13648
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.38388252836825e-06,
+      "loss": 0.7176,
+      "step": 13649
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.382617709701355e-06,
+      "loss": 0.8473,
+      "step": 13650
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.381352900948844e-06,
+      "loss": 0.9677,
+      "step": 13651
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.38008810213103e-06,
+      "loss": 0.7601,
+      "step": 13652
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.378823313268226e-06,
+      "loss": 0.9055,
+      "step": 13653
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.377558534380737e-06,
+      "loss": 0.8514,
+      "step": 13654
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.376293765488882e-06,
+      "loss": 0.6863,
+      "step": 13655
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.375029006612966e-06,
+      "loss": 0.7779,
+      "step": 13656
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.373764257773303e-06,
+      "loss": 0.935,
+      "step": 13657
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.372499518990197e-06,
+      "loss": 0.9034,
+      "step": 13658
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.371234790283965e-06,
+      "loss": 0.869,
+      "step": 13659
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.369970071674916e-06,
+      "loss": 0.844,
+      "step": 13660
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.368705363183356e-06,
+      "loss": 0.7091,
+      "step": 13661
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.3674406648296e-06,
+      "loss": 0.8134,
+      "step": 13662
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.366175976633949e-06,
+      "loss": 0.7903,
+      "step": 13663
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.36491129861672e-06,
+      "loss": 0.737,
+      "step": 13664
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.363646630798221e-06,
+      "loss": 0.6632,
+      "step": 13665
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.36238197319876e-06,
+      "loss": 0.7274,
+      "step": 13666
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.36111732583864e-06,
+      "loss": 0.7698,
+      "step": 13667
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.35985268873818e-06,
+      "loss": 0.8008,
+      "step": 13668
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.358588061917684e-06,
+      "loss": 0.7147,
+      "step": 13669
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.35732344539746e-06,
+      "loss": 0.8796,
+      "step": 13670
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.356058839197816e-06,
+      "loss": 0.6918,
+      "step": 13671
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.354794243339056e-06,
+      "loss": 0.8099,
+      "step": 13672
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.353529657841497e-06,
+      "loss": 0.6777,
+      "step": 13673
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.35226508272544e-06,
+      "loss": 0.8525,
+      "step": 13674
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.351000518011196e-06,
+      "loss": 0.8682,
+      "step": 13675
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.349735963719065e-06,
+      "loss": 0.753,
+      "step": 13676
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.348471419869364e-06,
+      "loss": 0.7477,
+      "step": 13677
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.347206886482394e-06,
+      "loss": 0.774,
+      "step": 13678
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.345942363578467e-06,
+      "loss": 0.9867,
+      "step": 13679
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.344677851177884e-06,
+      "loss": 0.8011,
+      "step": 13680
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.343413349300948e-06,
+      "loss": 0.9361,
+      "step": 13681
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.342148857967978e-06,
+      "loss": 0.7114,
+      "step": 13682
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.34088437719927e-06,
+      "loss": 0.8093,
+      "step": 13683
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.339619907015135e-06,
+      "loss": 0.9301,
+      "step": 13684
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.338355447435871e-06,
+      "loss": 0.6769,
+      "step": 13685
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.337090998481796e-06,
+      "loss": 0.7031,
+      "step": 13686
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.335826560173207e-06,
+      "loss": 0.8545,
+      "step": 13687
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.334562132530412e-06,
+      "loss": 0.7702,
+      "step": 13688
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.333297715573713e-06,
+      "loss": 0.919,
+      "step": 13689
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.33203330932342e-06,
+      "loss": 0.7591,
+      "step": 13690
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.330768913799831e-06,
+      "loss": 0.8933,
+      "step": 13691
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.329504529023259e-06,
+      "loss": 0.8414,
+      "step": 13692
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.328240155014001e-06,
+      "loss": 0.7449,
+      "step": 13693
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.326975791792366e-06,
+      "loss": 0.8741,
+      "step": 13694
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.325711439378658e-06,
+      "loss": 0.6937,
+      "step": 13695
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.324447097793174e-06,
+      "loss": 0.6909,
+      "step": 13696
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.323182767056228e-06,
+      "loss": 0.8278,
+      "step": 13697
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.321918447188116e-06,
+      "loss": 0.7394,
+      "step": 13698
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.320654138209146e-06,
+      "loss": 0.847,
+      "step": 13699
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.31938984013962e-06,
+      "loss": 0.8661,
+      "step": 13700
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.318125552999839e-06,
+      "loss": 0.7283,
+      "step": 13701
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.316861276810105e-06,
+      "loss": 0.8066,
+      "step": 13702
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.315597011590724e-06,
+      "loss": 0.7604,
+      "step": 13703
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.314332757361998e-06,
+      "loss": 0.8235,
+      "step": 13704
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.313068514144232e-06,
+      "loss": 0.7678,
+      "step": 13705
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.31180428195772e-06,
+      "loss": 0.7287,
+      "step": 13706
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.310540060822769e-06,
+      "loss": 0.8296,
+      "step": 13707
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.309275850759683e-06,
+      "loss": 0.7063,
+      "step": 13708
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.308011651788763e-06,
+      "loss": 0.957,
+      "step": 13709
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.306747463930307e-06,
+      "loss": 0.8092,
+      "step": 13710
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.305483287204618e-06,
+      "loss": 0.8625,
+      "step": 13711
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.304219121631993e-06,
+      "loss": 0.9539,
+      "step": 13712
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.302954967232741e-06,
+      "loss": 0.8647,
+      "step": 13713
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.30169082402716e-06,
+      "loss": 0.9339,
+      "step": 13714
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.30042669203555e-06,
+      "loss": 0.8309,
+      "step": 13715
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.299162571278203e-06,
+      "loss": 0.7871,
+      "step": 13716
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.297898461775435e-06,
+      "loss": 0.7847,
+      "step": 13717
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.296634363547535e-06,
+      "loss": 0.8984,
+      "step": 13718
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.295370276614806e-06,
+      "loss": 0.6524,
+      "step": 13719
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.294106200997548e-06,
+      "loss": 0.7115,
+      "step": 13720
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.292842136716058e-06,
+      "loss": 0.9284,
+      "step": 13721
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.29157808379064e-06,
+      "loss": 0.7114,
+      "step": 13722
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.290314042241589e-06,
+      "loss": 0.9079,
+      "step": 13723
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.289050012089205e-06,
+      "loss": 0.6749,
+      "step": 13724
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.287785993353784e-06,
+      "loss": 0.7528,
+      "step": 13725
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.28652198605563e-06,
+      "loss": 0.6906,
+      "step": 13726
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.28525799021504e-06,
+      "loss": 0.8213,
+      "step": 13727
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.283994005852313e-06,
+      "loss": 0.8436,
+      "step": 13728
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.282730032987743e-06,
+      "loss": 0.8476,
+      "step": 13729
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.281466071641624e-06,
+      "loss": 0.9028,
+      "step": 13730
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.280202121834268e-06,
+      "loss": 0.8614,
+      "step": 13731
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.27893818358596e-06,
+      "loss": 0.8599,
+      "step": 13732
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.277674256917004e-06,
+      "loss": 0.8015,
+      "step": 13733
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.27641034184769e-06,
+      "loss": 0.7343,
+      "step": 13734
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.275146438398322e-06,
+      "loss": 0.8554,
+      "step": 13735
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.273882546589194e-06,
+      "loss": 0.7519,
+      "step": 13736
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.2726186664406e-06,
+      "loss": 0.8356,
+      "step": 13737
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.271354797972841e-06,
+      "loss": 0.8234,
+      "step": 13738
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.270090941206211e-06,
+      "loss": 0.7485,
+      "step": 13739
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.268827096161007e-06,
+      "loss": 0.8554,
+      "step": 13740
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.26756326285752e-06,
+      "loss": 0.8306,
+      "step": 13741
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.266299441316053e-06,
+      "loss": 0.8699,
+      "step": 13742
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.265035631556894e-06,
+      "loss": 0.7919,
+      "step": 13743
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.263771833600345e-06,
+      "loss": 0.7844,
+      "step": 13744
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.262508047466698e-06,
+      "loss": 0.8552,
+      "step": 13745
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.261244273176246e-06,
+      "loss": 0.7591,
+      "step": 13746
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.259980510749281e-06,
+      "loss": 0.8221,
+      "step": 13747
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.258716760206107e-06,
+      "loss": 0.8978,
+      "step": 13748
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.257453021567013e-06,
+      "loss": 0.7442,
+      "step": 13749
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.256189294852294e-06,
+      "loss": 0.7781,
+      "step": 13750
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.254925580082242e-06,
+      "loss": 0.7929,
+      "step": 13751
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.253661877277145e-06,
+      "loss": 0.8474,
+      "step": 13752
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.25239818645731e-06,
+      "loss": 0.8671,
+      "step": 13753
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.251134507643022e-06,
+      "loss": 0.8031,
+      "step": 13754
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.249870840854576e-06,
+      "loss": 0.755,
+      "step": 13755
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.24860718611226e-06,
+      "loss": 0.7375,
+      "step": 13756
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.247343543436376e-06,
+      "loss": 0.8648,
+      "step": 13757
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.246079912847211e-06,
+      "loss": 0.797,
+      "step": 13758
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.244816294365058e-06,
+      "loss": 0.6885,
+      "step": 13759
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.243552688010209e-06,
+      "loss": 0.769,
+      "step": 13760
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.24228909380295e-06,
+      "loss": 0.7964,
+      "step": 13761
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.241025511763587e-06,
+      "loss": 0.8748,
+      "step": 13762
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.2397619419124e-06,
+      "loss": 0.8557,
+      "step": 13763
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.238498384269684e-06,
+      "loss": 0.9016,
+      "step": 13764
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.237234838855725e-06,
+      "loss": 0.7173,
+      "step": 13765
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.235971305690825e-06,
+      "loss": 0.7972,
+      "step": 13766
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.234707784795266e-06,
+      "loss": 0.7473,
+      "step": 13767
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.233444276189342e-06,
+      "loss": 0.6529,
+      "step": 13768
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.232180779893343e-06,
+      "loss": 0.8207,
+      "step": 13769
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.230917295927553e-06,
+      "loss": 0.7977,
+      "step": 13770
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.229653824312273e-06,
+      "loss": 0.74,
+      "step": 13771
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.228390365067787e-06,
+      "loss": 0.761,
+      "step": 13772
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.227126918214385e-06,
+      "loss": 0.8198,
+      "step": 13773
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.22586348377235e-06,
+      "loss": 0.8715,
+      "step": 13774
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.224600061761986e-06,
+      "loss": 0.8522,
+      "step": 13775
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.22333665220357e-06,
+      "loss": 0.8227,
+      "step": 13776
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.222073255117395e-06,
+      "loss": 0.7717,
+      "step": 13777
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.220809870523749e-06,
+      "loss": 0.7893,
+      "step": 13778
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.219546498442917e-06,
+      "loss": 0.8432,
+      "step": 13779
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.218283138895192e-06,
+      "loss": 0.6978,
+      "step": 13780
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.21701979190086e-06,
+      "loss": 0.7074,
+      "step": 13781
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.21575645748021e-06,
+      "loss": 0.7966,
+      "step": 13782
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.214493135653526e-06,
+      "loss": 0.7184,
+      "step": 13783
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.213229826441103e-06,
+      "loss": 0.7991,
+      "step": 13784
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.21196652986322e-06,
+      "loss": 0.8005,
+      "step": 13785
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.210703245940166e-06,
+      "loss": 0.8279,
+      "step": 13786
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.20943997469223e-06,
+      "loss": 0.7571,
+      "step": 13787
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.208176716139698e-06,
+      "loss": 0.7739,
+      "step": 13788
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.206913470302856e-06,
+      "loss": 0.6928,
+      "step": 13789
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.205650237201989e-06,
+      "loss": 0.7214,
+      "step": 13790
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.204387016857384e-06,
+      "loss": 0.8451,
+      "step": 13791
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.203123809289323e-06,
+      "loss": 0.8482,
+      "step": 13792
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.201860614518098e-06,
+      "loss": 0.9467,
+      "step": 13793
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.200597432563993e-06,
+      "loss": 0.8898,
+      "step": 13794
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.199334263447292e-06,
+      "loss": 0.7249,
+      "step": 13795
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.198071107188274e-06,
+      "loss": 0.7701,
+      "step": 13796
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.196807963807234e-06,
+      "loss": 0.7351,
+      "step": 13797
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.195544833324452e-06,
+      "loss": 0.7398,
+      "step": 13798
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.194281715760212e-06,
+      "loss": 0.697,
+      "step": 13799
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.193018611134796e-06,
+      "loss": 0.8758,
+      "step": 13800
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.191755519468487e-06,
+      "loss": 0.9263,
+      "step": 13801
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.190492440781576e-06,
+      "loss": 0.9247,
+      "step": 13802
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.189229375094342e-06,
+      "loss": 0.775,
+      "step": 13803
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.187966322427068e-06,
+      "loss": 0.6892,
+      "step": 13804
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.186703282800033e-06,
+      "loss": 0.8639,
+      "step": 13805
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.18544025623353e-06,
+      "loss": 0.7051,
+      "step": 13806
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.184177242747833e-06,
+      "loss": 0.5691,
+      "step": 13807
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.18291424236323e-06,
+      "loss": 0.8594,
+      "step": 13808
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.181651255099998e-06,
+      "loss": 0.7862,
+      "step": 13809
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.180388280978418e-06,
+      "loss": 0.7575,
+      "step": 13810
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.17912532001878e-06,
+      "loss": 0.8109,
+      "step": 13811
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.177862372241361e-06,
+      "loss": 0.8026,
+      "step": 13812
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.17659943766644e-06,
+      "loss": 0.7687,
+      "step": 13813
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.175336516314298e-06,
+      "loss": 0.7915,
+      "step": 13814
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.174073608205222e-06,
+      "loss": 0.7761,
+      "step": 13815
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.172810713359488e-06,
+      "loss": 0.754,
+      "step": 13816
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.17154783179738e-06,
+      "loss": 0.8032,
+      "step": 13817
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.170284963539174e-06,
+      "loss": 0.9264,
+      "step": 13818
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.169022108605147e-06,
+      "loss": 0.676,
+      "step": 13819
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.167759267015588e-06,
+      "loss": 0.8179,
+      "step": 13820
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.166496438790773e-06,
+      "loss": 0.7389,
+      "step": 13821
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.16523362395098e-06,
+      "loss": 0.7696,
+      "step": 13822
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.163970822516487e-06,
+      "loss": 0.8386,
+      "step": 13823
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.162708034507578e-06,
+      "loss": 0.757,
+      "step": 13824
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.161445259944526e-06,
+      "loss": 0.8043,
+      "step": 13825
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.160182498847615e-06,
+      "loss": 0.8497,
+      "step": 13826
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.158919751237119e-06,
+      "loss": 0.7816,
+      "step": 13827
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.157657017133318e-06,
+      "loss": 0.8206,
+      "step": 13828
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.15639429655649e-06,
+      "loss": 0.8301,
+      "step": 13829
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.155131589526913e-06,
+      "loss": 0.729,
+      "step": 13830
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.153868896064864e-06,
+      "loss": 0.9886,
+      "step": 13831
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.152606216190619e-06,
+      "loss": 0.9087,
+      "step": 13832
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.151343549924456e-06,
+      "loss": 0.8013,
+      "step": 13833
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.150080897286656e-06,
+      "loss": 0.8318,
+      "step": 13834
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.14881825829749e-06,
+      "loss": 0.849,
+      "step": 13835
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.147555632977232e-06,
+      "loss": 0.759,
+      "step": 13836
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.146293021346165e-06,
+      "loss": 0.9129,
+      "step": 13837
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.145030423424564e-06,
+      "loss": 0.779,
+      "step": 13838
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.143767839232704e-06,
+      "loss": 0.8107,
+      "step": 13839
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.142505268790857e-06,
+      "loss": 0.6967,
+      "step": 13840
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.141242712119298e-06,
+      "loss": 0.7575,
+      "step": 13841
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.139980169238309e-06,
+      "loss": 0.7801,
+      "step": 13842
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.138717640168161e-06,
+      "loss": 0.7665,
+      "step": 13843
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.13745512492913e-06,
+      "loss": 0.86,
+      "step": 13844
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.136192623541487e-06,
+      "loss": 0.8591,
+      "step": 13845
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.134930136025504e-06,
+      "loss": 0.6495,
+      "step": 13846
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.133667662401464e-06,
+      "loss": 0.9413,
+      "step": 13847
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.132405202689636e-06,
+      "loss": 0.7575,
+      "step": 13848
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.131142756910291e-06,
+      "loss": 0.6856,
+      "step": 13849
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.129880325083702e-06,
+      "loss": 0.7221,
+      "step": 13850
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.12861790723015e-06,
+      "loss": 0.8999,
+      "step": 13851
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.1273555033699e-06,
+      "loss": 0.6674,
+      "step": 13852
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.12609311352323e-06,
+      "loss": 0.701,
+      "step": 13853
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.124830737710403e-06,
+      "loss": 0.7051,
+      "step": 13854
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.123568375951702e-06,
+      "loss": 0.8839,
+      "step": 13855
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.122306028267396e-06,
+      "loss": 0.7747,
+      "step": 13856
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.121043694677755e-06,
+      "loss": 0.7897,
+      "step": 13857
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.11978137520305e-06,
+      "loss": 0.7661,
+      "step": 13858
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.11851906986355e-06,
+      "loss": 0.7606,
+      "step": 13859
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.117256778679533e-06,
+      "loss": 0.7694,
+      "step": 13860
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.115994501671264e-06,
+      "loss": 0.7269,
+      "step": 13861
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.114732238859019e-06,
+      "loss": 0.7584,
+      "step": 13862
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.113469990263061e-06,
+      "loss": 0.8175,
+      "step": 13863
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.112207755903664e-06,
+      "loss": 0.8286,
+      "step": 13864
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.110945535801102e-06,
+      "loss": 0.7571,
+      "step": 13865
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.109683329975639e-06,
+      "loss": 0.8496,
+      "step": 13866
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.108421138447545e-06,
+      "loss": 0.8596,
+      "step": 13867
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.10715896123709e-06,
+      "loss": 0.7447,
+      "step": 13868
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.105896798364543e-06,
+      "loss": 0.8011,
+      "step": 13869
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.104634649850174e-06,
+      "loss": 0.7272,
+      "step": 13870
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.103372515714252e-06,
+      "loss": 0.8365,
+      "step": 13871
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.10211039597704e-06,
+      "loss": 0.7825,
+      "step": 13872
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.100848290658814e-06,
+      "loss": 0.7486,
+      "step": 13873
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.099586199779836e-06,
+      "loss": 0.7956,
+      "step": 13874
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.098324123360375e-06,
+      "loss": 0.7191,
+      "step": 13875
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.0970620614207e-06,
+      "loss": 0.6794,
+      "step": 13876
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.095800013981074e-06,
+      "loss": 0.788,
+      "step": 13877
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.094537981061771e-06,
+      "loss": 0.7898,
+      "step": 13878
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.093275962683051e-06,
+      "loss": 0.7162,
+      "step": 13879
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.092013958865185e-06,
+      "loss": 0.7859,
+      "step": 13880
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.09075196962843e-06,
+      "loss": 0.734,
+      "step": 13881
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.089489994993066e-06,
+      "loss": 0.7334,
+      "step": 13882
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.08822803497935e-06,
+      "loss": 0.7502,
+      "step": 13883
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.086966089607551e-06,
+      "loss": 0.8693,
+      "step": 13884
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.08570415889793e-06,
+      "loss": 0.8589,
+      "step": 13885
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.084442242870752e-06,
+      "loss": 0.8575,
+      "step": 13886
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.08318034154629e-06,
+      "loss": 0.7778,
+      "step": 13887
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.0819184549448e-06,
+      "loss": 0.8228,
+      "step": 13888
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.08065658308655e-06,
+      "loss": 0.9526,
+      "step": 13889
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.079394725991799e-06,
+      "loss": 0.7745,
+      "step": 13890
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.07813288368082e-06,
+      "loss": 0.8505,
+      "step": 13891
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.076871056173872e-06,
+      "loss": 0.6938,
+      "step": 13892
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.075609243491218e-06,
+      "loss": 0.699,
+      "step": 13893
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.07434744565312e-06,
+      "loss": 0.6794,
+      "step": 13894
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.07308566267984e-06,
+      "loss": 0.7624,
+      "step": 13895
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.071823894591645e-06,
+      "loss": 0.8405,
+      "step": 13896
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.070562141408795e-06,
+      "loss": 0.6833,
+      "step": 13897
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.069300403151555e-06,
+      "loss": 0.7694,
+      "step": 13898
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.068038679840176e-06,
+      "loss": 0.8549,
+      "step": 13899
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.066776971494935e-06,
+      "loss": 0.7546,
+      "step": 13900
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.065515278136086e-06,
+      "loss": 0.7485,
+      "step": 13901
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.064253599783891e-06,
+      "loss": 0.8354,
+      "step": 13902
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.06299193645861e-06,
+      "loss": 0.8141,
+      "step": 13903
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.0617302881805e-06,
+      "loss": 0.6833,
+      "step": 13904
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.06046865496983e-06,
+      "loss": 0.8443,
+      "step": 13905
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.059207036846857e-06,
+      "loss": 0.7317,
+      "step": 13906
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.05794543383184e-06,
+      "loss": 0.8365,
+      "step": 13907
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.056683845945034e-06,
+      "loss": 0.7925,
+      "step": 13908
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.05542227320671e-06,
+      "loss": 0.8086,
+      "step": 13909
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.054160715637117e-06,
+      "loss": 0.763,
+      "step": 13910
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.05289917325652e-06,
+      "loss": 0.7207,
+      "step": 13911
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.051637646085171e-06,
+      "loss": 0.8658,
+      "step": 13912
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.050376134143339e-06,
+      "loss": 0.8352,
+      "step": 13913
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.049114637451271e-06,
+      "loss": 0.6636,
+      "step": 13914
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.047853156029234e-06,
+      "loss": 0.7761,
+      "step": 13915
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.046591689897481e-06,
+      "loss": 0.8304,
+      "step": 13916
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.045330239076269e-06,
+      "loss": 0.7681,
+      "step": 13917
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.04406880358586e-06,
+      "loss": 0.7002,
+      "step": 13918
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.042807383446508e-06,
+      "loss": 0.7776,
+      "step": 13919
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.041545978678467e-06,
+      "loss": 0.7893,
+      "step": 13920
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.040284589301997e-06,
+      "loss": 0.8663,
+      "step": 13921
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.039023215337357e-06,
+      "loss": 0.9144,
+      "step": 13922
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.0377618568048e-06,
+      "loss": 0.77,
+      "step": 13923
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.03650051372458e-06,
+      "loss": 0.8766,
+      "step": 13924
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.035239186116957e-06,
+      "loss": 0.7391,
+      "step": 13925
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.033977874002177e-06,
+      "loss": 0.6772,
+      "step": 13926
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.032716577400508e-06,
+      "loss": 0.6788,
+      "step": 13927
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.031455296332196e-06,
+      "loss": 0.7085,
+      "step": 13928
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.0301940308175e-06,
+      "loss": 0.7296,
+      "step": 13929
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.028932780876669e-06,
+      "loss": 0.7048,
+      "step": 13930
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.027671546529965e-06,
+      "loss": 0.7434,
+      "step": 13931
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.026410327797637e-06,
+      "loss": 0.6293,
+      "step": 13932
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.025149124699938e-06,
+      "loss": 0.847,
+      "step": 13933
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.023887937257126e-06,
+      "loss": 0.7338,
+      "step": 13934
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.022626765489443e-06,
+      "loss": 0.6916,
+      "step": 13935
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.021365609417155e-06,
+      "loss": 0.7772,
+      "step": 13936
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.020104469060508e-06,
+      "loss": 0.8151,
+      "step": 13937
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.018843344439756e-06,
+      "loss": 0.8149,
+      "step": 13938
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.017582235575147e-06,
+      "loss": 0.8509,
+      "step": 13939
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.016321142486938e-06,
+      "loss": 0.8555,
+      "step": 13940
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.015060065195382e-06,
+      "loss": 0.835,
+      "step": 13941
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.013799003720725e-06,
+      "loss": 0.7796,
+      "step": 13942
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.012537958083222e-06,
+      "loss": 0.8958,
+      "step": 13943
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.011276928303116e-06,
+      "loss": 0.7298,
+      "step": 13944
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.010015914400669e-06,
+      "loss": 0.7797,
+      "step": 13945
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.008754916396125e-06,
+      "loss": 0.9289,
+      "step": 13946
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.007493934309737e-06,
+      "loss": 0.9069,
+      "step": 13947
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.006232968161745e-06,
+      "loss": 0.8541,
+      "step": 13948
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.004972017972414e-06,
+      "loss": 0.7719,
+      "step": 13949
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.003711083761984e-06,
+      "loss": 0.8067,
+      "step": 13950
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.002450165550705e-06,
+      "loss": 0.7222,
+      "step": 13951
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.001189263358828e-06,
+      "loss": 0.8114,
+      "step": 13952
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.999928377206594e-06,
+      "loss": 0.8343,
+      "step": 13953
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.998667507114262e-06,
+      "loss": 0.7995,
+      "step": 13954
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.997406653102075e-06,
+      "loss": 0.8348,
+      "step": 13955
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.99614581519028e-06,
+      "loss": 0.6855,
+      "step": 13956
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.994884993399125e-06,
+      "loss": 0.8768,
+      "step": 13957
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.993624187748858e-06,
+      "loss": 0.7002,
+      "step": 13958
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.992363398259724e-06,
+      "loss": 0.7955,
+      "step": 13959
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.991102624951972e-06,
+      "loss": 0.8164,
+      "step": 13960
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.98984186784585e-06,
+      "loss": 0.8775,
+      "step": 13961
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.9885811269616e-06,
+      "loss": 0.7219,
+      "step": 13962
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.987320402319468e-06,
+      "loss": 0.7576,
+      "step": 13963
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.986059693939706e-06,
+      "loss": 0.7748,
+      "step": 13964
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.984799001842549e-06,
+      "loss": 0.704,
+      "step": 13965
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.983538326048249e-06,
+      "loss": 0.786,
+      "step": 13966
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.982277666577053e-06,
+      "loss": 0.8539,
+      "step": 13967
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.981017023449202e-06,
+      "loss": 0.8171,
+      "step": 13968
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.97975639668494e-06,
+      "loss": 0.7681,
+      "step": 13969
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.978495786304507e-06,
+      "loss": 0.6455,
+      "step": 13970
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.977235192328158e-06,
+      "loss": 0.7666,
+      "step": 13971
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.97597461477613e-06,
+      "loss": 0.7792,
+      "step": 13972
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.974714053668665e-06,
+      "loss": 0.684,
+      "step": 13973
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.973453509026008e-06,
+      "loss": 0.758,
+      "step": 13974
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.972192980868397e-06,
+      "loss": 0.6805,
+      "step": 13975
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.970932469216083e-06,
+      "loss": 0.7727,
+      "step": 13976
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.969671974089304e-06,
+      "loss": 0.7456,
+      "step": 13977
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.968411495508303e-06,
+      "loss": 0.7495,
+      "step": 13978
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.967151033493315e-06,
+      "loss": 0.7367,
+      "step": 13979
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.965890588064593e-06,
+      "loss": 0.6533,
+      "step": 13980
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.964630159242373e-06,
+      "loss": 0.7334,
+      "step": 13981
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.963369747046893e-06,
+      "loss": 0.8059,
+      "step": 13982
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.962109351498397e-06,
+      "loss": 0.809,
+      "step": 13983
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.960848972617119e-06,
+      "loss": 0.762,
+      "step": 13984
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.95958861042331e-06,
+      "loss": 0.6905,
+      "step": 13985
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.958328264937203e-06,
+      "loss": 0.7438,
+      "step": 13986
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.95706793617904e-06,
+      "loss": 0.8659,
+      "step": 13987
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.955807624169054e-06,
+      "loss": 0.7327,
+      "step": 13988
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.954547328927494e-06,
+      "loss": 0.7734,
+      "step": 13989
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.953287050474592e-06,
+      "loss": 0.8265,
+      "step": 13990
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.95202678883059e-06,
+      "loss": 0.8734,
+      "step": 13991
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.950766544015726e-06,
+      "loss": 0.8957,
+      "step": 13992
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.94950631605023e-06,
+      "loss": 0.8382,
+      "step": 13993
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.948246104954351e-06,
+      "loss": 0.6472,
+      "step": 13994
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.946985910748322e-06,
+      "loss": 0.7833,
+      "step": 13995
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.94572573345238e-06,
+      "loss": 0.8057,
+      "step": 13996
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.944465573086757e-06,
+      "loss": 0.7092,
+      "step": 13997
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.943205429671697e-06,
+      "loss": 0.677,
+      "step": 13998
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.941945303227436e-06,
+      "loss": 0.7966,
+      "step": 13999
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.940685193774207e-06,
+      "loss": 0.8353,
+      "step": 14000
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.939425101332245e-06,
+      "loss": 0.8593,
+      "step": 14001
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.938165025921786e-06,
+      "loss": 0.7217,
+      "step": 14002
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.936904967563066e-06,
+      "loss": 0.779,
+      "step": 14003
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.935644926276322e-06,
+      "loss": 0.85,
+      "step": 14004
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.934384902081788e-06,
+      "loss": 0.86,
+      "step": 14005
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.933124894999693e-06,
+      "loss": 0.7669,
+      "step": 14006
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.931864905050277e-06,
+      "loss": 0.7327,
+      "step": 14007
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.930604932253776e-06,
+      "loss": 0.8201,
+      "step": 14008
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.929344976630414e-06,
+      "loss": 0.8478,
+      "step": 14009
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.928085038200433e-06,
+      "loss": 0.658,
+      "step": 14010
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.926825116984063e-06,
+      "loss": 0.9388,
+      "step": 14011
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.925565213001536e-06,
+      "loss": 0.7208,
+      "step": 14012
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.924305326273087e-06,
+      "loss": 0.9421,
+      "step": 14013
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.923045456818947e-06,
+      "loss": 0.7501,
+      "step": 14014
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.921785604659342e-06,
+      "loss": 0.8029,
+      "step": 14015
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.920525769814514e-06,
+      "loss": 0.8884,
+      "step": 14016
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.91926595230469e-06,
+      "loss": 0.7869,
+      "step": 14017
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.918006152150099e-06,
+      "loss": 0.8305,
+      "step": 14018
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.916746369370975e-06,
+      "loss": 0.8305,
+      "step": 14019
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.91548660398754e-06,
+      "loss": 0.7284,
+      "step": 14020
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.91422685602004e-06,
+      "loss": 0.6862,
+      "step": 14021
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.912967125488692e-06,
+      "loss": 0.7534,
+      "step": 14022
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.911707412413732e-06,
+      "loss": 0.6912,
+      "step": 14023
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.910447716815383e-06,
+      "loss": 0.893,
+      "step": 14024
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.909188038713881e-06,
+      "loss": 0.8478,
+      "step": 14025
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.907928378129453e-06,
+      "loss": 0.7824,
+      "step": 14026
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.906668735082327e-06,
+      "loss": 0.8238,
+      "step": 14027
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.905409109592727e-06,
+      "loss": 0.9182,
+      "step": 14028
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.904149501680888e-06,
+      "loss": 0.7716,
+      "step": 14029
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.902889911367038e-06,
+      "loss": 0.7008,
+      "step": 14030
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.9016303386714e-06,
+      "loss": 0.7686,
+      "step": 14031
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.900370783614201e-06,
+      "loss": 0.6327,
+      "step": 14032
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.899111246215665e-06,
+      "loss": 0.799,
+      "step": 14033
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.897851726496028e-06,
+      "loss": 0.7228,
+      "step": 14034
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.89659222447551e-06,
+      "loss": 0.6153,
+      "step": 14035
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.89533274017434e-06,
+      "loss": 0.7381,
+      "step": 14036
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.894073273612738e-06,
+      "loss": 0.6884,
+      "step": 14037
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.892813824810936e-06,
+      "loss": 0.7342,
+      "step": 14038
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.891554393789157e-06,
+      "loss": 0.8745,
+      "step": 14039
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.890294980567626e-06,
+      "loss": 0.6937,
+      "step": 14040
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.889035585166567e-06,
+      "loss": 0.7325,
+      "step": 14041
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.8877762076062e-06,
+      "loss": 0.7534,
+      "step": 14042
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.886516847906757e-06,
+      "loss": 0.8011,
+      "step": 14043
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.885257506088459e-06,
+      "loss": 0.6867,
+      "step": 14044
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.88399818217153e-06,
+      "loss": 0.9255,
+      "step": 14045
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.882738876176188e-06,
+      "loss": 0.782,
+      "step": 14046
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.881479588122662e-06,
+      "loss": 0.8654,
+      "step": 14047
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.880220318031168e-06,
+      "loss": 0.7616,
+      "step": 14048
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.878961065921937e-06,
+      "loss": 0.7121,
+      "step": 14049
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.877701831815186e-06,
+      "loss": 0.9028,
+      "step": 14050
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.876442615731136e-06,
+      "loss": 0.7091,
+      "step": 14051
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.875183417690011e-06,
+      "loss": 0.6777,
+      "step": 14052
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.87392423771203e-06,
+      "loss": 0.8426,
+      "step": 14053
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.872665075817414e-06,
+      "loss": 0.8331,
+      "step": 14054
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.871405932026383e-06,
+      "loss": 0.8033,
+      "step": 14055
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.870146806359163e-06,
+      "loss": 0.8382,
+      "step": 14056
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.868887698835968e-06,
+      "loss": 0.7775,
+      "step": 14057
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.867628609477019e-06,
+      "loss": 0.7775,
+      "step": 14058
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.866369538302535e-06,
+      "loss": 0.5583,
+      "step": 14059
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.865110485332731e-06,
+      "loss": 0.7649,
+      "step": 14060
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.863851450587837e-06,
+      "loss": 0.9627,
+      "step": 14061
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.862592434088063e-06,
+      "loss": 0.7919,
+      "step": 14062
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.86133343585363e-06,
+      "loss": 0.7197,
+      "step": 14063
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.860074455904753e-06,
+      "loss": 0.8566,
+      "step": 14064
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.858815494261653e-06,
+      "loss": 0.8102,
+      "step": 14065
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.857556550944548e-06,
+      "loss": 0.8147,
+      "step": 14066
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.856297625973652e-06,
+      "loss": 0.7088,
+      "step": 14067
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.855038719369185e-06,
+      "loss": 0.7449,
+      "step": 14068
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.853779831151355e-06,
+      "loss": 0.8125,
+      "step": 14069
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.852520961340389e-06,
+      "loss": 0.7184,
+      "step": 14070
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.8512621099565e-06,
+      "loss": 0.7358,
+      "step": 14071
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.850003277019901e-06,
+      "loss": 0.8007,
+      "step": 14072
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.848744462550804e-06,
+      "loss": 0.746,
+      "step": 14073
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.847485666569434e-06,
+      "loss": 0.7323,
+      "step": 14074
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.846226889095998e-06,
+      "loss": 0.9057,
+      "step": 14075
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.844968130150714e-06,
+      "loss": 0.6678,
+      "step": 14076
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.843709389753792e-06,
+      "loss": 0.8187,
+      "step": 14077
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.842450667925446e-06,
+      "loss": 0.8686,
+      "step": 14078
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.841191964685896e-06,
+      "loss": 0.7312,
+      "step": 14079
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.839933280055352e-06,
+      "loss": 0.7323,
+      "step": 14080
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.838674614054024e-06,
+      "loss": 0.8383,
+      "step": 14081
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.837415966702123e-06,
+      "loss": 0.7968,
+      "step": 14082
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.836157338019869e-06,
+      "loss": 0.8254,
+      "step": 14083
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.83489872802747e-06,
+      "loss": 0.7273,
+      "step": 14084
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.833640136745137e-06,
+      "loss": 0.6731,
+      "step": 14085
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.83238156419308e-06,
+      "loss": 0.8826,
+      "step": 14086
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.83112301039151e-06,
+      "loss": 0.8405,
+      "step": 14087
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.829864475360646e-06,
+      "loss": 0.9166,
+      "step": 14088
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.82860595912069e-06,
+      "loss": 0.7488,
+      "step": 14089
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.827347461691853e-06,
+      "loss": 0.8439,
+      "step": 14090
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.826088983094347e-06,
+      "loss": 0.926,
+      "step": 14091
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.824830523348383e-06,
+      "loss": 0.8796,
+      "step": 14092
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.823572082474165e-06,
+      "loss": 0.7016,
+      "step": 14093
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.822313660491905e-06,
+      "loss": 0.7921,
+      "step": 14094
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.821055257421813e-06,
+      "loss": 0.8527,
+      "step": 14095
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.819796873284098e-06,
+      "loss": 0.7344,
+      "step": 14096
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.818538508098965e-06,
+      "loss": 0.8694,
+      "step": 14097
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.817280161886624e-06,
+      "loss": 0.7876,
+      "step": 14098
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.81602183466728e-06,
+      "loss": 0.7634,
+      "step": 14099
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.81476352646114e-06,
+      "loss": 0.8901,
+      "step": 14100
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.813505237288416e-06,
+      "loss": 0.7613,
+      "step": 14101
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.812246967169312e-06,
+      "loss": 0.6445,
+      "step": 14102
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.810988716124032e-06,
+      "loss": 0.7919,
+      "step": 14103
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.80973048417278e-06,
+      "loss": 0.7626,
+      "step": 14104
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.808472271335767e-06,
+      "loss": 0.9568,
+      "step": 14105
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.807214077633198e-06,
+      "loss": 0.8423,
+      "step": 14106
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.805955903085277e-06,
+      "loss": 0.7442,
+      "step": 14107
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.804697747712206e-06,
+      "loss": 0.8018,
+      "step": 14108
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.803439611534187e-06,
+      "loss": 0.8162,
+      "step": 14109
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.802181494571435e-06,
+      "loss": 0.8342,
+      "step": 14110
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.800923396844147e-06,
+      "loss": 0.5171,
+      "step": 14111
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.799665318372526e-06,
+      "loss": 0.8092,
+      "step": 14112
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.79840725917677e-06,
+      "loss": 0.758,
+      "step": 14113
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.797149219277094e-06,
+      "loss": 0.8483,
+      "step": 14114
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.795891198693694e-06,
+      "loss": 0.7413,
+      "step": 14115
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.79463319744677e-06,
+      "loss": 0.7728,
+      "step": 14116
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.79337521555653e-06,
+      "loss": 0.7331,
+      "step": 14117
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.792117253043166e-06,
+      "loss": 0.6741,
+      "step": 14118
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.790859309926891e-06,
+      "loss": 0.8316,
+      "step": 14119
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.789601386227899e-06,
+      "loss": 0.8289,
+      "step": 14120
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.788343481966393e-06,
+      "loss": 0.6315,
+      "step": 14121
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.787085597162568e-06,
+      "loss": 0.7527,
+      "step": 14122
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.785827731836631e-06,
+      "loss": 0.8459,
+      "step": 14123
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.784569886008781e-06,
+      "loss": 0.8205,
+      "step": 14124
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.783312059699215e-06,
+      "loss": 0.7994,
+      "step": 14125
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.782054252928132e-06,
+      "loss": 0.7246,
+      "step": 14126
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.78079646571573e-06,
+      "loss": 0.7141,
+      "step": 14127
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.77953869808221e-06,
+      "loss": 0.8619,
+      "step": 14128
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.77828095004777e-06,
+      "loss": 0.8188,
+      "step": 14129
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.777023221632609e-06,
+      "loss": 0.7765,
+      "step": 14130
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.775765512856919e-06,
+      "loss": 0.7142,
+      "step": 14131
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.7745078237409e-06,
+      "loss": 0.6409,
+      "step": 14132
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.773250154304754e-06,
+      "loss": 0.781,
+      "step": 14133
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.77199250456867e-06,
+      "loss": 0.8028,
+      "step": 14134
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.770734874552851e-06,
+      "loss": 0.7949,
+      "step": 14135
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.769477264277485e-06,
+      "loss": 0.6872,
+      "step": 14136
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.768219673762775e-06,
+      "loss": 0.7806,
+      "step": 14137
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.766962103028912e-06,
+      "loss": 0.768,
+      "step": 14138
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.765704552096094e-06,
+      "loss": 0.824,
+      "step": 14139
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.764447020984513e-06,
+      "loss": 0.7381,
+      "step": 14140
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.763189509714367e-06,
+      "loss": 0.7442,
+      "step": 14141
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.761932018305846e-06,
+      "loss": 0.8506,
+      "step": 14142
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.760674546779144e-06,
+      "loss": 0.7929,
+      "step": 14143
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.759417095154456e-06,
+      "loss": 0.8904,
+      "step": 14144
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.758159663451978e-06,
+      "loss": 0.8715,
+      "step": 14145
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.7569022516919e-06,
+      "loss": 0.6867,
+      "step": 14146
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.755644859894412e-06,
+      "loss": 0.9048,
+      "step": 14147
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.754387488079708e-06,
+      "loss": 0.668,
+      "step": 14148
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.753130136267979e-06,
+      "loss": 0.827,
+      "step": 14149
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.751872804479418e-06,
+      "loss": 0.8196,
+      "step": 14150
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.750615492734219e-06,
+      "loss": 0.8606,
+      "step": 14151
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.749358201052568e-06,
+      "loss": 0.8583,
+      "step": 14152
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.748100929454652e-06,
+      "loss": 0.6811,
+      "step": 14153
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.746843677960673e-06,
+      "loss": 0.7501,
+      "step": 14154
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.745586446590813e-06,
+      "loss": 0.9142,
+      "step": 14155
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.744329235365263e-06,
+      "loss": 0.8909,
+      "step": 14156
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.743072044304212e-06,
+      "loss": 0.8281,
+      "step": 14157
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.741814873427844e-06,
+      "loss": 0.8162,
+      "step": 14158
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.740557722756358e-06,
+      "loss": 0.8617,
+      "step": 14159
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.739300592309934e-06,
+      "loss": 1.0206,
+      "step": 14160
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.738043482108767e-06,
+      "loss": 0.756,
+      "step": 14161
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.736786392173033e-06,
+      "loss": 0.7302,
+      "step": 14162
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.735529322522932e-06,
+      "loss": 0.8573,
+      "step": 14163
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.734272273178646e-06,
+      "loss": 0.656,
+      "step": 14164
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.73301524416036e-06,
+      "loss": 0.8369,
+      "step": 14165
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.731758235488263e-06,
+      "loss": 0.7399,
+      "step": 14166
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.730501247182535e-06,
+      "loss": 0.8266,
+      "step": 14167
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.72924427926337e-06,
+      "loss": 0.7361,
+      "step": 14168
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.727987331750948e-06,
+      "loss": 0.7173,
+      "step": 14169
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.726730404665458e-06,
+      "loss": 0.7828,
+      "step": 14170
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.725473498027078e-06,
+      "loss": 0.7022,
+      "step": 14171
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.724216611855998e-06,
+      "loss": 0.7753,
+      "step": 14172
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.722959746172403e-06,
+      "loss": 0.8532,
+      "step": 14173
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.721702900996473e-06,
+      "loss": 0.8163,
+      "step": 14174
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.720446076348395e-06,
+      "loss": 0.7872,
+      "step": 14175
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.719189272248344e-06,
+      "loss": 0.7708,
+      "step": 14176
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.717932488716512e-06,
+      "loss": 0.6501,
+      "step": 14177
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.716675725773077e-06,
+      "loss": 0.7942,
+      "step": 14178
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.715418983438222e-06,
+      "loss": 0.742,
+      "step": 14179
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.714162261732128e-06,
+      "loss": 0.832,
+      "step": 14180
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.712905560674978e-06,
+      "loss": 0.7091,
+      "step": 14181
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.711648880286949e-06,
+      "loss": 0.906,
+      "step": 14182
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.710392220588229e-06,
+      "loss": 0.7255,
+      "step": 14183
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.709135581598992e-06,
+      "loss": 0.8974,
+      "step": 14184
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.707878963339417e-06,
+      "loss": 0.7649,
+      "step": 14185
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.70662236582969e-06,
+      "loss": 0.7112,
+      "step": 14186
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.705365789089989e-06,
+      "loss": 0.8776,
+      "step": 14187
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.704109233140487e-06,
+      "loss": 0.7388,
+      "step": 14188
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.702852698001367e-06,
+      "loss": 0.8123,
+      "step": 14189
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.70159618369281e-06,
+      "loss": 0.8889,
+      "step": 14190
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.70033969023499e-06,
+      "loss": 0.7122,
+      "step": 14191
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.699083217648088e-06,
+      "loss": 0.7985,
+      "step": 14192
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.697826765952278e-06,
+      "loss": 0.7438,
+      "step": 14193
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.696570335167734e-06,
+      "loss": 0.827,
+      "step": 14194
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.695313925314643e-06,
+      "loss": 0.7756,
+      "step": 14195
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.694057536413175e-06,
+      "loss": 0.8693,
+      "step": 14196
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.692801168483505e-06,
+      "loss": 0.6312,
+      "step": 14197
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.691544821545807e-06,
+      "loss": 0.8479,
+      "step": 14198
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.690288495620263e-06,
+      "loss": 0.7939,
+      "step": 14199
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.689032190727046e-06,
+      "loss": 0.8197,
+      "step": 14200
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.687775906886328e-06,
+      "loss": 0.8191,
+      "step": 14201
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.68651964411828e-06,
+      "loss": 0.8351,
+      "step": 14202
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.685263402443087e-06,
+      "loss": 0.8146,
+      "step": 14203
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.684007181880914e-06,
+      "loss": 0.8518,
+      "step": 14204
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.682750982451939e-06,
+      "loss": 0.9584,
+      "step": 14205
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.681494804176331e-06,
+      "loss": 0.806,
+      "step": 14206
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.68023864707426e-06,
+      "loss": 0.9661,
+      "step": 14207
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.678982511165908e-06,
+      "loss": 0.6872,
+      "step": 14208
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.67772639647144e-06,
+      "loss": 0.7805,
+      "step": 14209
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.676470303011031e-06,
+      "loss": 0.6584,
+      "step": 14210
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.675214230804844e-06,
+      "loss": 0.9475,
+      "step": 14211
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.673958179873063e-06,
+      "loss": 0.7175,
+      "step": 14212
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.67270215023585e-06,
+      "loss": 0.7895,
+      "step": 14213
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.671446141913378e-06,
+      "loss": 0.7785,
+      "step": 14214
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.670190154925816e-06,
+      "loss": 0.5949,
+      "step": 14215
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.66893418929333e-06,
+      "loss": 0.7906,
+      "step": 14216
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.667678245036098e-06,
+      "loss": 0.7592,
+      "step": 14217
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.666422322174281e-06,
+      "loss": 0.7255,
+      "step": 14218
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.665166420728053e-06,
+      "loss": 0.8905,
+      "step": 14219
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.663910540717577e-06,
+      "loss": 0.7882,
+      "step": 14220
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.662654682163022e-06,
+      "loss": 0.7623,
+      "step": 14221
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.661398845084562e-06,
+      "loss": 0.8182,
+      "step": 14222
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.660143029502359e-06,
+      "loss": 0.7103,
+      "step": 14223
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.658887235436577e-06,
+      "loss": 0.7792,
+      "step": 14224
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.657631462907385e-06,
+      "loss": 0.7192,
+      "step": 14225
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.656375711934952e-06,
+      "loss": 0.7217,
+      "step": 14226
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.65511998253944e-06,
+      "loss": 0.7768,
+      "step": 14227
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.653864274741017e-06,
+      "loss": 0.5518,
+      "step": 14228
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.652608588559845e-06,
+      "loss": 0.7822,
+      "step": 14229
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.651352924016093e-06,
+      "loss": 0.6779,
+      "step": 14230
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.650097281129922e-06,
+      "loss": 0.7974,
+      "step": 14231
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.648841659921499e-06,
+      "loss": 0.7853,
+      "step": 14232
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.647586060410981e-06,
+      "loss": 0.7729,
+      "step": 14233
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.646330482618539e-06,
+      "loss": 0.8718,
+      "step": 14234
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.645074926564334e-06,
+      "loss": 0.7707,
+      "step": 14235
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.643819392268527e-06,
+      "loss": 0.8062,
+      "step": 14236
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.642563879751283e-06,
+      "loss": 0.8453,
+      "step": 14237
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.641308389032758e-06,
+      "loss": 0.8503,
+      "step": 14238
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.640052920133121e-06,
+      "loss": 0.8221,
+      "step": 14239
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.63879747307253e-06,
+      "loss": 0.8027,
+      "step": 14240
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.637542047871146e-06,
+      "loss": 0.8297,
+      "step": 14241
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.636286644549129e-06,
+      "loss": 0.8136,
+      "step": 14242
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.635031263126636e-06,
+      "loss": 0.8555,
+      "step": 14243
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.633775903623834e-06,
+      "loss": 0.6976,
+      "step": 14244
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.63252056606088e-06,
+      "loss": 0.7213,
+      "step": 14245
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.631265250457931e-06,
+      "loss": 0.7366,
+      "step": 14246
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.630009956835144e-06,
+      "loss": 0.8346,
+      "step": 14247
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.628754685212685e-06,
+      "loss": 0.8505,
+      "step": 14248
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.627499435610707e-06,
+      "loss": 0.8595,
+      "step": 14249
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.626244208049367e-06,
+      "loss": 0.7652,
+      "step": 14250
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.624989002548825e-06,
+      "loss": 0.9913,
+      "step": 14251
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.623733819129233e-06,
+      "loss": 0.7623,
+      "step": 14252
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.622478657810753e-06,
+      "loss": 0.9284,
+      "step": 14253
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.621223518613541e-06,
+      "loss": 0.888,
+      "step": 14254
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.619968401557752e-06,
+      "loss": 0.8849,
+      "step": 14255
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.618713306663537e-06,
+      "loss": 0.8327,
+      "step": 14256
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.617458233951058e-06,
+      "loss": 0.8861,
+      "step": 14257
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.616203183440469e-06,
+      "loss": 0.8602,
+      "step": 14258
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.614948155151924e-06,
+      "loss": 0.7989,
+      "step": 14259
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.613693149105569e-06,
+      "loss": 0.8338,
+      "step": 14260
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.612438165321571e-06,
+      "loss": 0.7727,
+      "step": 14261
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.611183203820076e-06,
+      "loss": 0.7926,
+      "step": 14262
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.60992826462124e-06,
+      "loss": 0.7198,
+      "step": 14263
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.608673347745213e-06,
+      "loss": 0.8031,
+      "step": 14264
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.607418453212147e-06,
+      "loss": 0.7348,
+      "step": 14265
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.606163581042196e-06,
+      "loss": 0.7015,
+      "step": 14266
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.604908731255512e-06,
+      "loss": 0.7524,
+      "step": 14267
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.603653903872246e-06,
+      "loss": 0.7035,
+      "step": 14268
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.602399098912548e-06,
+      "loss": 0.7136,
+      "step": 14269
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.60114431639657e-06,
+      "loss": 0.8056,
+      "step": 14270
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.599889556344462e-06,
+      "loss": 0.7558,
+      "step": 14271
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.598634818776371e-06,
+      "loss": 0.7681,
+      "step": 14272
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.59738010371245e-06,
+      "loss": 0.7959,
+      "step": 14273
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.596125411172846e-06,
+      "loss": 0.6898,
+      "step": 14274
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.594870741177713e-06,
+      "loss": 0.7493,
+      "step": 14275
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.593616093747191e-06,
+      "loss": 0.7297,
+      "step": 14276
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.592361468901432e-06,
+      "loss": 0.7441,
+      "step": 14277
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.591106866660584e-06,
+      "loss": 0.8023,
+      "step": 14278
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.589852287044796e-06,
+      "loss": 0.6252,
+      "step": 14279
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.588597730074214e-06,
+      "loss": 0.8528,
+      "step": 14280
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.587343195768983e-06,
+      "loss": 0.8158,
+      "step": 14281
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.586088684149251e-06,
+      "loss": 0.6756,
+      "step": 14282
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.584834195235158e-06,
+      "loss": 0.9774,
+      "step": 14283
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.58357972904686e-06,
+      "loss": 0.6961,
+      "step": 14284
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.582325285604494e-06,
+      "loss": 0.8543,
+      "step": 14285
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.58107086492821e-06,
+      "loss": 0.7785,
+      "step": 14286
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.579816467038144e-06,
+      "loss": 0.7312,
+      "step": 14287
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.578562091954451e-06,
+      "loss": 0.8882,
+      "step": 14288
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.57730773969727e-06,
+      "loss": 0.845,
+      "step": 14289
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.576053410286744e-06,
+      "loss": 0.7253,
+      "step": 14290
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.574799103743015e-06,
+      "loss": 0.8029,
+      "step": 14291
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.573544820086224e-06,
+      "loss": 0.747,
+      "step": 14292
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.572290559336518e-06,
+      "loss": 0.762,
+      "step": 14293
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.571036321514039e-06,
+      "loss": 0.741,
+      "step": 14294
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.569782106638923e-06,
+      "loss": 0.8417,
+      "step": 14295
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.568527914731312e-06,
+      "loss": 0.7319,
+      "step": 14296
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.567273745811353e-06,
+      "loss": 0.8766,
+      "step": 14297
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.566019599899182e-06,
+      "loss": 0.7046,
+      "step": 14298
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.564765477014938e-06,
+      "loss": 0.8231,
+      "step": 14299
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.563511377178764e-06,
+      "loss": 0.7973,
+      "step": 14300
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.562257300410792e-06,
+      "loss": 0.9123,
+      "step": 14301
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.561003246731172e-06,
+      "loss": 0.6979,
+      "step": 14302
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.559749216160034e-06,
+      "loss": 1.0401,
+      "step": 14303
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.558495208717521e-06,
+      "loss": 0.7244,
+      "step": 14304
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.557241224423763e-06,
+      "loss": 0.7498,
+      "step": 14305
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.555987263298908e-06,
+      "loss": 0.6681,
+      "step": 14306
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.554733325363088e-06,
+      "loss": 0.713,
+      "step": 14307
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.553479410636441e-06,
+      "loss": 0.7019,
+      "step": 14308
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.5522255191391e-06,
+      "loss": 0.7514,
+      "step": 14309
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.5509716508912e-06,
+      "loss": 0.7646,
+      "step": 14310
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.549717805912883e-06,
+      "loss": 1.0956,
+      "step": 14311
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.548463984224282e-06,
+      "loss": 0.6614,
+      "step": 14312
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.54721018584553e-06,
+      "loss": 0.9243,
+      "step": 14313
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.545956410796758e-06,
+      "loss": 0.6673,
+      "step": 14314
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.544702659098109e-06,
+      "loss": 0.735,
+      "step": 14315
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.543448930769708e-06,
+      "loss": 0.7868,
+      "step": 14316
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.542195225831695e-06,
+      "loss": 0.7328,
+      "step": 14317
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.540941544304197e-06,
+      "loss": 0.8447,
+      "step": 14318
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.539687886207352e-06,
+      "loss": 0.6737,
+      "step": 14319
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.53843425156129e-06,
+      "loss": 0.7671,
+      "step": 14320
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.537180640386141e-06,
+      "loss": 0.849,
+      "step": 14321
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.535927052702037e-06,
+      "loss": 0.9033,
+      "step": 14322
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.53467348852911e-06,
+      "loss": 0.8404,
+      "step": 14323
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.533419947887492e-06,
+      "loss": 0.8263,
+      "step": 14324
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.532166430797313e-06,
+      "loss": 0.6758,
+      "step": 14325
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.530912937278702e-06,
+      "loss": 0.8177,
+      "step": 14326
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.529659467351782e-06,
+      "loss": 0.7384,
+      "step": 14327
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.528406021036694e-06,
+      "loss": 0.8197,
+      "step": 14328
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.527152598353561e-06,
+      "loss": 0.7412,
+      "step": 14329
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.525899199322512e-06,
+      "loss": 0.8666,
+      "step": 14330
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.524645823963676e-06,
+      "loss": 0.8344,
+      "step": 14331
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.523392472297174e-06,
+      "loss": 0.7882,
+      "step": 14332
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.522139144343143e-06,
+      "loss": 0.6297,
+      "step": 14333
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.520885840121705e-06,
+      "loss": 0.7678,
+      "step": 14334
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.519632559652988e-06,
+      "loss": 0.6919,
+      "step": 14335
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.518379302957111e-06,
+      "loss": 0.83,
+      "step": 14336
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.517126070054212e-06,
+      "loss": 0.8375,
+      "step": 14337
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.515872860964407e-06,
+      "loss": 0.6892,
+      "step": 14338
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.514619675707828e-06,
+      "loss": 0.7953,
+      "step": 14339
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.513366514304595e-06,
+      "loss": 0.762,
+      "step": 14340
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.512113376774827e-06,
+      "loss": 0.7513,
+      "step": 14341
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.510860263138658e-06,
+      "loss": 0.8924,
+      "step": 14342
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.509607173416208e-06,
+      "loss": 0.6492,
+      "step": 14343
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.5083541076276e-06,
+      "loss": 0.599,
+      "step": 14344
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.50710106579295e-06,
+      "loss": 0.8462,
+      "step": 14345
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.505848047932392e-06,
+      "loss": 0.6709,
+      "step": 14346
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.50459505406604e-06,
+      "loss": 0.8127,
+      "step": 14347
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.50334208421402e-06,
+      "loss": 0.7717,
+      "step": 14348
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.50208913839645e-06,
+      "loss": 0.7813,
+      "step": 14349
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.500836216633447e-06,
+      "loss": 0.5923,
+      "step": 14350
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.49958331894514e-06,
+      "loss": 0.8,
+      "step": 14351
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.498330445351643e-06,
+      "loss": 0.7772,
+      "step": 14352
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.49707759587308e-06,
+      "loss": 0.8855,
+      "step": 14353
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.495824770529565e-06,
+      "loss": 0.7487,
+      "step": 14354
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.494571969341219e-06,
+      "loss": 0.8874,
+      "step": 14355
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.493319192328162e-06,
+      "loss": 0.8684,
+      "step": 14356
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.49206643951051e-06,
+      "loss": 0.905,
+      "step": 14357
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.490813710908384e-06,
+      "loss": 0.8328,
+      "step": 14358
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.489561006541895e-06,
+      "loss": 0.806,
+      "step": 14359
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.488308326431166e-06,
+      "loss": 0.7745,
+      "step": 14360
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.48705567059631e-06,
+      "loss": 0.6992,
+      "step": 14361
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.485803039057446e-06,
+      "loss": 0.7196,
+      "step": 14362
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.484550431834684e-06,
+      "loss": 0.7908,
+      "step": 14363
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.483297848948147e-06,
+      "loss": 0.824,
+      "step": 14364
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.482045290417946e-06,
+      "loss": 0.7645,
+      "step": 14365
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.480792756264194e-06,
+      "loss": 0.9239,
+      "step": 14366
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.479540246507005e-06,
+      "loss": 0.7948,
+      "step": 14367
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.478287761166494e-06,
+      "loss": 0.8597,
+      "step": 14368
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.477035300262778e-06,
+      "loss": 0.7819,
+      "step": 14369
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.475782863815967e-06,
+      "loss": 0.7063,
+      "step": 14370
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.474530451846172e-06,
+      "loss": 0.7306,
+      "step": 14371
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.473278064373502e-06,
+      "loss": 0.6577,
+      "step": 14372
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.472025701418078e-06,
+      "loss": 0.763,
+      "step": 14373
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.470773363000006e-06,
+      "loss": 0.8839,
+      "step": 14374
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.4695210491394e-06,
+      "loss": 0.7553,
+      "step": 14375
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.468268759856361e-06,
+      "loss": 0.6827,
+      "step": 14376
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.467016495171012e-06,
+      "loss": 0.8246,
+      "step": 14377
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.465764255103457e-06,
+      "loss": 0.7785,
+      "step": 14378
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.464512039673806e-06,
+      "loss": 0.7208,
+      "step": 14379
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.463259848902166e-06,
+      "loss": 0.8612,
+      "step": 14380
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.462007682808645e-06,
+      "loss": 0.8672,
+      "step": 14381
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.460755541413355e-06,
+      "loss": 0.8563,
+      "step": 14382
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.459503424736405e-06,
+      "loss": 0.7206,
+      "step": 14383
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.458251332797899e-06,
+      "loss": 0.8133,
+      "step": 14384
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.45699926561794e-06,
+      "loss": 0.8013,
+      "step": 14385
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.455747223216642e-06,
+      "loss": 0.6198,
+      "step": 14386
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.45449520561411e-06,
+      "loss": 0.8373,
+      "step": 14387
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.453243212830448e-06,
+      "loss": 0.8101,
+      "step": 14388
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.451991244885763e-06,
+      "loss": 0.8043,
+      "step": 14389
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.450739301800153e-06,
+      "loss": 0.843,
+      "step": 14390
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.449487383593734e-06,
+      "loss": 0.7592,
+      "step": 14391
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.448235490286604e-06,
+      "loss": 0.9554,
+      "step": 14392
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.446983621898868e-06,
+      "loss": 0.8584,
+      "step": 14393
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.445731778450625e-06,
+      "loss": 0.8706,
+      "step": 14394
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.444479959961986e-06,
+      "loss": 0.7487,
+      "step": 14395
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.443228166453049e-06,
+      "loss": 0.9139,
+      "step": 14396
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.441976397943918e-06,
+      "loss": 0.7339,
+      "step": 14397
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.440724654454693e-06,
+      "loss": 0.8364,
+      "step": 14398
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.439472936005474e-06,
+      "loss": 0.8463,
+      "step": 14399
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.438221242616364e-06,
+      "loss": 0.8331,
+      "step": 14400
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.436969574307467e-06,
+      "loss": 0.7018,
+      "step": 14401
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.43571793109888e-06,
+      "loss": 0.6996,
+      "step": 14402
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.4344663130107e-06,
+      "loss": 0.8186,
+      "step": 14403
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.43321472006303e-06,
+      "loss": 0.6742,
+      "step": 14404
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.43196315227597e-06,
+      "loss": 0.6638,
+      "step": 14405
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.430711609669615e-06,
+      "loss": 0.8334,
+      "step": 14406
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.429460092264067e-06,
+      "loss": 0.7062,
+      "step": 14407
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.42820860007942e-06,
+      "loss": 0.9146,
+      "step": 14408
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.426957133135775e-06,
+      "loss": 0.8027,
+      "step": 14409
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.425705691453227e-06,
+      "loss": 0.6835,
+      "step": 14410
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.42445427505187e-06,
+      "loss": 0.7806,
+      "step": 14411
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.423202883951805e-06,
+      "loss": 0.825,
+      "step": 14412
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.421951518173126e-06,
+      "loss": 0.7033,
+      "step": 14413
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.42070017773593e-06,
+      "loss": 0.8127,
+      "step": 14414
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.419448862660311e-06,
+      "loss": 0.8699,
+      "step": 14415
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.41819757296636e-06,
+      "loss": 0.7295,
+      "step": 14416
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.416946308674173e-06,
+      "loss": 0.8737,
+      "step": 14417
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.415695069803846e-06,
+      "loss": 0.8452,
+      "step": 14418
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.414443856375471e-06,
+      "loss": 0.8756,
+      "step": 14419
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.413192668409143e-06,
+      "loss": 0.7049,
+      "step": 14420
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.411941505924945e-06,
+      "loss": 0.8937,
+      "step": 14421
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.410690368942983e-06,
+      "loss": 0.7647,
+      "step": 14422
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.409439257483341e-06,
+      "loss": 0.7688,
+      "step": 14423
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.408188171566113e-06,
+      "loss": 0.765,
+      "step": 14424
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.406937111211386e-06,
+      "loss": 0.8149,
+      "step": 14425
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.40568607643925e-06,
+      "loss": 0.7642,
+      "step": 14426
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.404435067269803e-06,
+      "loss": 0.6544,
+      "step": 14427
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.403184083723128e-06,
+      "loss": 0.7643,
+      "step": 14428
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.401933125819316e-06,
+      "loss": 0.6309,
+      "step": 14429
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.400682193578451e-06,
+      "loss": 0.7544,
+      "step": 14430
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.39943128702063e-06,
+      "loss": 0.8936,
+      "step": 14431
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.39818040616594e-06,
+      "loss": 0.6851,
+      "step": 14432
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.39692955103446e-06,
+      "loss": 0.8083,
+      "step": 14433
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.395678721646282e-06,
+      "loss": 0.8641,
+      "step": 14434
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.394427918021497e-06,
+      "loss": 0.8156,
+      "step": 14435
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.393177140180189e-06,
+      "loss": 0.8365,
+      "step": 14436
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.391926388142441e-06,
+      "loss": 0.7137,
+      "step": 14437
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.390675661928341e-06,
+      "loss": 0.8616,
+      "step": 14438
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.389424961557967e-06,
+      "loss": 0.7777,
+      "step": 14439
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.388174287051417e-06,
+      "loss": 0.7398,
+      "step": 14440
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.386923638428765e-06,
+      "loss": 0.8675,
+      "step": 14441
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.3856730157101e-06,
+      "loss": 0.8147,
+      "step": 14442
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.384422418915503e-06,
+      "loss": 0.7678,
+      "step": 14443
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.383171848065059e-06,
+      "loss": 0.7802,
+      "step": 14444
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.381921303178844e-06,
+      "loss": 0.8429,
+      "step": 14445
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.38067078427695e-06,
+      "loss": 0.8248,
+      "step": 14446
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.379420291379454e-06,
+      "loss": 0.8263,
+      "step": 14447
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.378169824506435e-06,
+      "loss": 0.7382,
+      "step": 14448
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.376919383677978e-06,
+      "loss": 0.6586,
+      "step": 14449
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.37566896891416e-06,
+      "loss": 0.8069,
+      "step": 14450
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.374418580235065e-06,
+      "loss": 0.7111,
+      "step": 14451
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.37316821766077e-06,
+      "loss": 0.8704,
+      "step": 14452
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.371917881211354e-06,
+      "loss": 0.8274,
+      "step": 14453
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.370667570906899e-06,
+      "loss": 0.749,
+      "step": 14454
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.36941728676748e-06,
+      "loss": 0.7929,
+      "step": 14455
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.368167028813176e-06,
+      "loss": 0.8603,
+      "step": 14456
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.366916797064061e-06,
+      "loss": 0.7248,
+      "step": 14457
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.365666591540223e-06,
+      "loss": 0.716,
+      "step": 14458
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.364416412261728e-06,
+      "loss": 0.7526,
+      "step": 14459
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.363166259248657e-06,
+      "loss": 0.7231,
+      "step": 14460
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.36191613252108e-06,
+      "loss": 0.7263,
+      "step": 14461
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.360666032099082e-06,
+      "loss": 0.8007,
+      "step": 14462
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.359415958002733e-06,
+      "loss": 0.8201,
+      "step": 14463
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.358165910252108e-06,
+      "loss": 0.7175,
+      "step": 14464
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.356915888867282e-06,
+      "loss": 0.7746,
+      "step": 14465
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.355665893868322e-06,
+      "loss": 0.7655,
+      "step": 14466
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.354415925275314e-06,
+      "loss": 0.751,
+      "step": 14467
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.353165983108322e-06,
+      "loss": 0.7485,
+      "step": 14468
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.351916067387421e-06,
+      "loss": 0.7782,
+      "step": 14469
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.350666178132679e-06,
+      "loss": 0.8094,
+      "step": 14470
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.349416315364177e-06,
+      "loss": 0.7799,
+      "step": 14471
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.348166479101979e-06,
+      "loss": 0.8117,
+      "step": 14472
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.346916669366157e-06,
+      "loss": 0.6824,
+      "step": 14473
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.345666886176783e-06,
+      "loss": 0.9592,
+      "step": 14474
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.34441712955392e-06,
+      "loss": 0.7602,
+      "step": 14475
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.34316739951765e-06,
+      "loss": 0.8107,
+      "step": 14476
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.341917696088034e-06,
+      "loss": 0.8643,
+      "step": 14477
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.340668019285143e-06,
+      "loss": 0.8524,
+      "step": 14478
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.339418369129038e-06,
+      "loss": 0.7213,
+      "step": 14479
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.3381687456398e-06,
+      "loss": 0.7852,
+      "step": 14480
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.336919148837487e-06,
+      "loss": 0.7867,
+      "step": 14481
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.335669578742172e-06,
+      "loss": 0.8607,
+      "step": 14482
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.334420035373916e-06,
+      "loss": 0.8737,
+      "step": 14483
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.333170518752782e-06,
+      "loss": 0.8146,
+      "step": 14484
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.331921028898846e-06,
+      "loss": 0.6934,
+      "step": 14485
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.330671565832168e-06,
+      "loss": 0.9009,
+      "step": 14486
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.329422129572812e-06,
+      "loss": 0.7964,
+      "step": 14487
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.328172720140843e-06,
+      "loss": 0.9314,
+      "step": 14488
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.326923337556324e-06,
+      "loss": 0.7841,
+      "step": 14489
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.325673981839322e-06,
+      "loss": 0.7141,
+      "step": 14490
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.324424653009898e-06,
+      "loss": 0.8765,
+      "step": 14491
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.323175351088113e-06,
+      "loss": 0.8354,
+      "step": 14492
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.321926076094032e-06,
+      "loss": 0.9068,
+      "step": 14493
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.320676828047716e-06,
+      "loss": 0.8228,
+      "step": 14494
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.319427606969223e-06,
+      "loss": 0.8774,
+      "step": 14495
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.318178412878618e-06,
+      "loss": 0.7537,
+      "step": 14496
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.316929245795959e-06,
+      "loss": 0.823,
+      "step": 14497
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.31568010574131e-06,
+      "loss": 0.6544,
+      "step": 14498
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.314430992734728e-06,
+      "loss": 0.7177,
+      "step": 14499
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.313181906796272e-06,
+      "loss": 0.8801,
+      "step": 14500
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.311932847945996e-06,
+      "loss": 0.861,
+      "step": 14501
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.310683816203967e-06,
+      "loss": 0.8085,
+      "step": 14502
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.30943481159024e-06,
+      "loss": 0.8882,
+      "step": 14503
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.308185834124872e-06,
+      "loss": 0.8035,
+      "step": 14504
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.306936883827918e-06,
+      "loss": 0.8618,
+      "step": 14505
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.305687960719433e-06,
+      "loss": 0.8006,
+      "step": 14506
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.30443906481948e-06,
+      "loss": 0.7798,
+      "step": 14507
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.303190196148112e-06,
+      "loss": 0.7778,
+      "step": 14508
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.301941354725382e-06,
+      "loss": 0.7041,
+      "step": 14509
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.300692540571343e-06,
+      "loss": 0.6645,
+      "step": 14510
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.299443753706056e-06,
+      "loss": 0.8491,
+      "step": 14511
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.298194994149571e-06,
+      "loss": 0.7033,
+      "step": 14512
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.296946261921941e-06,
+      "loss": 0.7958,
+      "step": 14513
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.295697557043223e-06,
+      "loss": 0.7768,
+      "step": 14514
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.29444887953346e-06,
+      "loss": 0.8091,
+      "step": 14515
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.293200229412716e-06,
+      "loss": 0.7068,
+      "step": 14516
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.291951606701037e-06,
+      "loss": 0.7451,
+      "step": 14517
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.290703011418475e-06,
+      "loss": 0.7624,
+      "step": 14518
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.289454443585076e-06,
+      "loss": 0.7533,
+      "step": 14519
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.2882059032209e-06,
+      "loss": 0.7649,
+      "step": 14520
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.286957390345994e-06,
+      "loss": 0.7982,
+      "step": 14521
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.285708904980404e-06,
+      "loss": 0.8587,
+      "step": 14522
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.28446044714418e-06,
+      "loss": 0.7437,
+      "step": 14523
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.283212016857369e-06,
+      "loss": 0.7572,
+      "step": 14524
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.281963614140026e-06,
+      "loss": 0.881,
+      "step": 14525
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.280715239012192e-06,
+      "loss": 0.7562,
+      "step": 14526
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.27946689149392e-06,
+      "loss": 0.8483,
+      "step": 14527
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.278218571605247e-06,
+      "loss": 0.8759,
+      "step": 14528
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.276970279366232e-06,
+      "loss": 0.7973,
+      "step": 14529
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.275722014796915e-06,
+      "loss": 0.9227,
+      "step": 14530
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.274473777917342e-06,
+      "loss": 0.9248,
+      "step": 14531
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.273225568747558e-06,
+      "loss": 0.8166,
+      "step": 14532
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.271977387307604e-06,
+      "loss": 0.8369,
+      "step": 14533
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.27072923361753e-06,
+      "loss": 0.579,
+      "step": 14534
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.269481107697379e-06,
+      "loss": 0.7699,
+      "step": 14535
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.268233009567192e-06,
+      "loss": 0.7405,
+      "step": 14536
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.266984939247012e-06,
+      "loss": 0.8399,
+      "step": 14537
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.265736896756883e-06,
+      "loss": 0.708,
+      "step": 14538
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.264488882116846e-06,
+      "loss": 0.8246,
+      "step": 14539
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.263240895346943e-06,
+      "loss": 0.7481,
+      "step": 14540
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.261992936467215e-06,
+      "loss": 0.9045,
+      "step": 14541
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.260745005497701e-06,
+      "loss": 0.7412,
+      "step": 14542
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.259497102458447e-06,
+      "loss": 0.8009,
+      "step": 14543
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.258249227369485e-06,
+      "loss": 0.6483,
+      "step": 14544
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.25700138025086e-06,
+      "loss": 0.7692,
+      "step": 14545
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.255753561122603e-06,
+      "loss": 0.9252,
+      "step": 14546
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.254505770004764e-06,
+      "loss": 0.8542,
+      "step": 14547
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.253258006917375e-06,
+      "loss": 0.8279,
+      "step": 14548
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.252010271880473e-06,
+      "loss": 0.8403,
+      "step": 14549
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.250762564914093e-06,
+      "loss": 0.7198,
+      "step": 14550
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.249514886038277e-06,
+      "loss": 0.7599,
+      "step": 14551
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.248267235273057e-06,
+      "loss": 0.8826,
+      "step": 14552
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.247019612638473e-06,
+      "loss": 0.8773,
+      "step": 14553
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.245772018154557e-06,
+      "loss": 0.9951,
+      "step": 14554
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.244524451841338e-06,
+      "loss": 0.7465,
+      "step": 14555
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.243276913718862e-06,
+      "loss": 0.7,
+      "step": 14556
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.242029403807158e-06,
+      "loss": 0.768,
+      "step": 14557
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.240781922126257e-06,
+      "loss": 0.7823,
+      "step": 14558
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.239534468696192e-06,
+      "loss": 0.7163,
+      "step": 14559
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.238287043537e-06,
+      "loss": 0.7556,
+      "step": 14560
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.237039646668712e-06,
+      "loss": 0.8143,
+      "step": 14561
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.235792278111357e-06,
+      "loss": 0.8949,
+      "step": 14562
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.234544937884969e-06,
+      "loss": 0.6664,
+      "step": 14563
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.23329762600957e-06,
+      "loss": 0.7577,
+      "step": 14564
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.232050342505204e-06,
+      "loss": 0.9086,
+      "step": 14565
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.230803087391893e-06,
+      "loss": 0.7274,
+      "step": 14566
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.229555860689668e-06,
+      "loss": 0.6944,
+      "step": 14567
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.228308662418553e-06,
+      "loss": 0.8286,
+      "step": 14568
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.227061492598585e-06,
+      "loss": 0.7622,
+      "step": 14569
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.225814351249788e-06,
+      "loss": 0.652,
+      "step": 14570
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.224567238392189e-06,
+      "loss": 0.6483,
+      "step": 14571
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.223320154045816e-06,
+      "loss": 0.8398,
+      "step": 14572
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.22207309823069e-06,
+      "loss": 0.9084,
+      "step": 14573
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.220826070966847e-06,
+      "loss": 0.8125,
+      "step": 14574
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.219579072274307e-06,
+      "loss": 0.9026,
+      "step": 14575
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.218332102173097e-06,
+      "loss": 0.7057,
+      "step": 14576
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.217085160683238e-06,
+      "loss": 0.8079,
+      "step": 14577
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.21583824782476e-06,
+      "loss": 0.8528,
+      "step": 14578
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.214591363617683e-06,
+      "loss": 0.8162,
+      "step": 14579
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.21334450808203e-06,
+      "loss": 0.7352,
+      "step": 14580
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.212097681237829e-06,
+      "loss": 0.7251,
+      "step": 14581
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.210850883105095e-06,
+      "loss": 0.7809,
+      "step": 14582
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.209604113703857e-06,
+      "loss": 0.9066,
+      "step": 14583
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.20835737305413e-06,
+      "loss": 0.8531,
+      "step": 14584
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.207110661175942e-06,
+      "loss": 0.7439,
+      "step": 14585
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.205863978089308e-06,
+      "loss": 0.6777,
+      "step": 14586
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.20461732381425e-06,
+      "loss": 0.7594,
+      "step": 14587
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.203370698370792e-06,
+      "loss": 0.829,
+      "step": 14588
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.202124101778947e-06,
+      "loss": 0.6424,
+      "step": 14589
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.200877534058734e-06,
+      "loss": 0.7632,
+      "step": 14590
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.199630995230173e-06,
+      "loss": 0.6778,
+      "step": 14591
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.198384485313286e-06,
+      "loss": 0.7221,
+      "step": 14592
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.197138004328085e-06,
+      "loss": 0.8206,
+      "step": 14593
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.19589155229459e-06,
+      "loss": 0.8055,
+      "step": 14594
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.19464512923281e-06,
+      "loss": 0.815,
+      "step": 14595
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.193398735162771e-06,
+      "loss": 0.9615,
+      "step": 14596
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.192152370104487e-06,
+      "loss": 0.8418,
+      "step": 14597
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.19090603407797e-06,
+      "loss": 0.6261,
+      "step": 14598
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.189659727103233e-06,
+      "loss": 0.8396,
+      "step": 14599
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.18841344920029e-06,
+      "loss": 1.0092,
+      "step": 14600
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.18716720038916e-06,
+      "loss": 0.9123,
+      "step": 14601
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.185920980689854e-06,
+      "loss": 0.8292,
+      "step": 14602
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.184674790122384e-06,
+      "loss": 0.7128,
+      "step": 14603
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.183428628706758e-06,
+      "loss": 0.7117,
+      "step": 14604
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.182182496462995e-06,
+      "loss": 0.9174,
+      "step": 14605
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.180936393411103e-06,
+      "loss": 0.7665,
+      "step": 14606
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.179690319571096e-06,
+      "loss": 0.7994,
+      "step": 14607
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.178444274962975e-06,
+      "loss": 0.8565,
+      "step": 14608
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.17719825960676e-06,
+      "loss": 0.7585,
+      "step": 14609
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.175952273522458e-06,
+      "loss": 0.783,
+      "step": 14610
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.174706316730076e-06,
+      "loss": 1.0257,
+      "step": 14611
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.173460389249625e-06,
+      "loss": 0.8209,
+      "step": 14612
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.172214491101107e-06,
+      "loss": 0.9254,
+      "step": 14613
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.170968622304536e-06,
+      "loss": 0.8016,
+      "step": 14614
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.169722782879918e-06,
+      "loss": 0.7818,
+      "step": 14615
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.16847697284726e-06,
+      "loss": 0.7452,
+      "step": 14616
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.167231192226562e-06,
+      "loss": 0.7235,
+      "step": 14617
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.165985441037836e-06,
+      "loss": 0.8778,
+      "step": 14618
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.164739719301089e-06,
+      "loss": 0.8034,
+      "step": 14619
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.163494027036322e-06,
+      "loss": 0.8816,
+      "step": 14620
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.162248364263538e-06,
+      "loss": 0.8357,
+      "step": 14621
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.161002731002741e-06,
+      "loss": 0.7348,
+      "step": 14622
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.159757127273936e-06,
+      "loss": 0.7653,
+      "step": 14623
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.158511553097127e-06,
+      "loss": 0.721,
+      "step": 14624
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.157266008492318e-06,
+      "loss": 0.7286,
+      "step": 14625
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.156020493479502e-06,
+      "loss": 0.7593,
+      "step": 14626
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.15477500807869e-06,
+      "loss": 0.7124,
+      "step": 14627
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.15352955230988e-06,
+      "loss": 0.8038,
+      "step": 14628
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.152284126193067e-06,
+      "loss": 0.7037,
+      "step": 14629
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.15103872974826e-06,
+      "loss": 0.7759,
+      "step": 14630
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.149793362995451e-06,
+      "loss": 0.8495,
+      "step": 14631
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.148548025954644e-06,
+      "loss": 0.694,
+      "step": 14632
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.147302718645835e-06,
+      "loss": 0.803,
+      "step": 14633
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.146057441089025e-06,
+      "loss": 0.7493,
+      "step": 14634
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.144812193304204e-06,
+      "loss": 0.6978,
+      "step": 14635
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.143566975311379e-06,
+      "loss": 0.7635,
+      "step": 14636
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.14232178713054e-06,
+      "loss": 0.8263,
+      "step": 14637
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.14107662878169e-06,
+      "loss": 0.859,
+      "step": 14638
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.139831500284816e-06,
+      "loss": 0.8947,
+      "step": 14639
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.138586401659914e-06,
+      "loss": 0.6811,
+      "step": 14640
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.137341332926986e-06,
+      "loss": 0.7548,
+      "step": 14641
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.136096294106023e-06,
+      "loss": 0.7037,
+      "step": 14642
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.134851285217017e-06,
+      "loss": 0.8537,
+      "step": 14643
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.133606306279957e-06,
+      "loss": 0.7866,
+      "step": 14644
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.132361357314847e-06,
+      "loss": 0.7853,
+      "step": 14645
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.131116438341672e-06,
+      "loss": 0.849,
+      "step": 14646
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.129871549380429e-06,
+      "loss": 0.6479,
+      "step": 14647
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.1286266904511e-06,
+      "loss": 0.7734,
+      "step": 14648
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.12738186157368e-06,
+      "loss": 0.6954,
+      "step": 14649
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.126137062768165e-06,
+      "loss": 0.7402,
+      "step": 14650
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.12489229405454e-06,
+      "loss": 0.9146,
+      "step": 14651
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.123647555452795e-06,
+      "loss": 0.7964,
+      "step": 14652
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.122402846982916e-06,
+      "loss": 0.7776,
+      "step": 14653
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.121158168664898e-06,
+      "loss": 0.8499,
+      "step": 14654
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.119913520518726e-06,
+      "loss": 0.7299,
+      "step": 14655
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.118668902564386e-06,
+      "loss": 0.7887,
+      "step": 14656
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.117424314821867e-06,
+      "loss": 0.7933,
+      "step": 14657
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.11617975731115e-06,
+      "loss": 0.7384,
+      "step": 14658
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.11493523005223e-06,
+      "loss": 0.7853,
+      "step": 14659
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.113690733065087e-06,
+      "loss": 0.76,
+      "step": 14660
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.112446266369708e-06,
+      "loss": 0.6579,
+      "step": 14661
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.111201829986071e-06,
+      "loss": 0.8402,
+      "step": 14662
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.109957423934172e-06,
+      "loss": 0.757,
+      "step": 14663
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.108713048233988e-06,
+      "loss": 0.8368,
+      "step": 14664
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.107468702905503e-06,
+      "loss": 0.7903,
+      "step": 14665
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.106224387968696e-06,
+      "loss": 0.853,
+      "step": 14666
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.104980103443555e-06,
+      "loss": 0.8006,
+      "step": 14667
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.103735849350056e-06,
+      "loss": 0.7578,
+      "step": 14668
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.102491625708186e-06,
+      "loss": 0.7691,
+      "step": 14669
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.101247432537922e-06,
+      "loss": 0.8016,
+      "step": 14670
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.100003269859244e-06,
+      "loss": 0.6245,
+      "step": 14671
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.098759137692133e-06,
+      "loss": 0.781,
+      "step": 14672
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.09751503605657e-06,
+      "loss": 0.8202,
+      "step": 14673
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.096270964972528e-06,
+      "loss": 0.7812,
+      "step": 14674
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.095026924459989e-06,
+      "loss": 0.6737,
+      "step": 14675
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.093782914538933e-06,
+      "loss": 0.6411,
+      "step": 14676
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.092538935229336e-06,
+      "loss": 0.865,
+      "step": 14677
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.091294986551173e-06,
+      "loss": 0.7087,
+      "step": 14678
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.090051068524418e-06,
+      "loss": 0.7019,
+      "step": 14679
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.088807181169048e-06,
+      "loss": 0.7977,
+      "step": 14680
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.087563324505043e-06,
+      "loss": 0.8244,
+      "step": 14681
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.086319498552376e-06,
+      "loss": 0.8224,
+      "step": 14682
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.085075703331017e-06,
+      "loss": 0.8131,
+      "step": 14683
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.083831938860941e-06,
+      "loss": 0.7855,
+      "step": 14684
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.082588205162127e-06,
+      "loss": 0.7768,
+      "step": 14685
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.081344502254543e-06,
+      "loss": 0.6829,
+      "step": 14686
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.080100830158163e-06,
+      "loss": 0.7754,
+      "step": 14687
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.078857188892957e-06,
+      "loss": 0.6707,
+      "step": 14688
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.077613578478894e-06,
+      "loss": 0.7472,
+      "step": 14689
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.076369998935951e-06,
+      "loss": 0.7881,
+      "step": 14690
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.075126450284095e-06,
+      "loss": 0.84,
+      "step": 14691
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.073882932543298e-06,
+      "loss": 0.7013,
+      "step": 14692
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.07263944573352e-06,
+      "loss": 0.676,
+      "step": 14693
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.071395989874747e-06,
+      "loss": 0.7349,
+      "step": 14694
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.070152564986934e-06,
+      "loss": 0.8514,
+      "step": 14695
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.068909171090053e-06,
+      "loss": 0.72,
+      "step": 14696
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.067665808204071e-06,
+      "loss": 0.7437,
+      "step": 14697
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.06642247634895e-06,
+      "loss": 0.6918,
+      "step": 14698
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.065179175544666e-06,
+      "loss": 0.8629,
+      "step": 14699
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.06393590581118e-06,
+      "loss": 0.9646,
+      "step": 14700
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.062692667168458e-06,
+      "loss": 0.7914,
+      "step": 14701
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.06144945963646e-06,
+      "loss": 0.7172,
+      "step": 14702
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.060206283235159e-06,
+      "loss": 0.7824,
+      "step": 14703
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.058963137984512e-06,
+      "loss": 0.8687,
+      "step": 14704
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.057720023904487e-06,
+      "loss": 0.7569,
+      "step": 14705
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.056476941015043e-06,
+      "loss": 0.9412,
+      "step": 14706
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.055233889336142e-06,
+      "loss": 0.7238,
+      "step": 14707
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.05399086888775e-06,
+      "loss": 0.889,
+      "step": 14708
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.052747879689827e-06,
+      "loss": 0.7726,
+      "step": 14709
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.051504921762332e-06,
+      "loss": 0.8247,
+      "step": 14710
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.050261995125226e-06,
+      "loss": 0.8557,
+      "step": 14711
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.04901909979847e-06,
+      "loss": 0.732,
+      "step": 14712
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.047776235802021e-06,
+      "loss": 0.8096,
+      "step": 14713
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.046533403155841e-06,
+      "loss": 0.7149,
+      "step": 14714
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.045290601879888e-06,
+      "loss": 0.8381,
+      "step": 14715
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.044047831994114e-06,
+      "loss": 0.8059,
+      "step": 14716
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.042805093518484e-06,
+      "loss": 0.6549,
+      "step": 14717
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.041562386472953e-06,
+      "loss": 0.7201,
+      "step": 14718
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.040319710877473e-06,
+      "loss": 0.7545,
+      "step": 14719
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.039077066752003e-06,
+      "loss": 0.6931,
+      "step": 14720
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.0378344541165e-06,
+      "loss": 0.7556,
+      "step": 14721
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.036591872990918e-06,
+      "loss": 0.9117,
+      "step": 14722
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.035349323395209e-06,
+      "loss": 0.849,
+      "step": 14723
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.034106805349324e-06,
+      "loss": 0.7309,
+      "step": 14724
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.032864318873224e-06,
+      "loss": 0.7346,
+      "step": 14725
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.031621863986857e-06,
+      "loss": 0.7172,
+      "step": 14726
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.03037944071018e-06,
+      "loss": 0.6931,
+      "step": 14727
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.029137049063139e-06,
+      "loss": 0.6796,
+      "step": 14728
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.027894689065684e-06,
+      "loss": 0.8025,
+      "step": 14729
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.02665236073777e-06,
+      "loss": 0.8239,
+      "step": 14730
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.02541006409935e-06,
+      "loss": 0.8315,
+      "step": 14731
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.02416779917037e-06,
+      "loss": 0.8122,
+      "step": 14732
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.022925565970774e-06,
+      "loss": 0.7387,
+      "step": 14733
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.021683364520519e-06,
+      "loss": 0.9365,
+      "step": 14734
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.020441194839552e-06,
+      "loss": 0.697,
+      "step": 14735
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.019199056947819e-06,
+      "loss": 0.6626,
+      "step": 14736
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.017956950865266e-06,
+      "loss": 0.839,
+      "step": 14737
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.016714876611838e-06,
+      "loss": 0.7911,
+      "step": 14738
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.015472834207486e-06,
+      "loss": 0.7538,
+      "step": 14739
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.014230823672154e-06,
+      "loss": 0.7304,
+      "step": 14740
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.012988845025787e-06,
+      "loss": 0.8538,
+      "step": 14741
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.011746898288326e-06,
+      "loss": 0.7301,
+      "step": 14742
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.010504983479723e-06,
+      "loss": 0.734,
+      "step": 14743
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.009263100619915e-06,
+      "loss": 0.8371,
+      "step": 14744
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.008021249728848e-06,
+      "loss": 0.7899,
+      "step": 14745
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.006779430826463e-06,
+      "loss": 0.8681,
+      "step": 14746
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.0055376439327e-06,
+      "loss": 0.6696,
+      "step": 14747
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.004295889067506e-06,
+      "loss": 0.7997,
+      "step": 14748
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.00305416625082e-06,
+      "loss": 0.6909,
+      "step": 14749
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.001812475502582e-06,
+      "loss": 0.768,
+      "step": 14750
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.000570816842728e-06,
+      "loss": 0.8492,
+      "step": 14751
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.999329190291202e-06,
+      "loss": 0.7523,
+      "step": 14752
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.998087595867946e-06,
+      "loss": 0.7056,
+      "step": 14753
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.996846033592893e-06,
+      "loss": 0.7464,
+      "step": 14754
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.995604503485984e-06,
+      "loss": 0.8373,
+      "step": 14755
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.994363005567153e-06,
+      "loss": 0.6741,
+      "step": 14756
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.993121539856336e-06,
+      "loss": 0.7536,
+      "step": 14757
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.991880106373478e-06,
+      "loss": 0.751,
+      "step": 14758
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.990638705138506e-06,
+      "loss": 0.7613,
+      "step": 14759
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.989397336171358e-06,
+      "loss": 0.7885,
+      "step": 14760
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.988155999491972e-06,
+      "loss": 0.808,
+      "step": 14761
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.98691469512028e-06,
+      "loss": 0.8466,
+      "step": 14762
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.985673423076213e-06,
+      "loss": 0.7224,
+      "step": 14763
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.984432183379706e-06,
+      "loss": 0.7453,
+      "step": 14764
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.983190976050694e-06,
+      "loss": 0.7427,
+      "step": 14765
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.981949801109107e-06,
+      "loss": 0.8847,
+      "step": 14766
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.98070865857488e-06,
+      "loss": 0.8805,
+      "step": 14767
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.97946754846794e-06,
+      "loss": 0.774,
+      "step": 14768
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.978226470808217e-06,
+      "loss": 0.7087,
+      "step": 14769
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.976985425615647e-06,
+      "loss": 0.7613,
+      "step": 14770
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.975744412910155e-06,
+      "loss": 0.7987,
+      "step": 14771
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.974503432711671e-06,
+      "loss": 0.8682,
+      "step": 14772
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.973262485040125e-06,
+      "loss": 0.8036,
+      "step": 14773
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.972021569915437e-06,
+      "loss": 0.7615,
+      "step": 14774
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.970780687357549e-06,
+      "loss": 0.7314,
+      "step": 14775
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.96953983738638e-06,
+      "loss": 0.6686,
+      "step": 14776
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.968299020021855e-06,
+      "loss": 0.8555,
+      "step": 14777
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.967058235283898e-06,
+      "loss": 0.7397,
+      "step": 14778
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.965817483192444e-06,
+      "loss": 0.924,
+      "step": 14779
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.96457676376741e-06,
+      "loss": 0.7839,
+      "step": 14780
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.963336077028725e-06,
+      "loss": 0.764,
+      "step": 14781
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.962095422996305e-06,
+      "loss": 0.7274,
+      "step": 14782
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.960854801690084e-06,
+      "loss": 0.7613,
+      "step": 14783
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.959614213129979e-06,
+      "loss": 0.715,
+      "step": 14784
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.958373657335913e-06,
+      "loss": 0.7179,
+      "step": 14785
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.957133134327808e-06,
+      "loss": 0.7508,
+      "step": 14786
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.95589264412558e-06,
+      "loss": 0.8708,
+      "step": 14787
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.954652186749161e-06,
+      "loss": 0.7969,
+      "step": 14788
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.953411762218463e-06,
+      "loss": 0.6349,
+      "step": 14789
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.952171370553408e-06,
+      "loss": 0.7562,
+      "step": 14790
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.95093101177391e-06,
+      "loss": 0.8729,
+      "step": 14791
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.949690685899898e-06,
+      "loss": 0.9205,
+      "step": 14792
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.948450392951283e-06,
+      "loss": 0.7773,
+      "step": 14793
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.947210132947984e-06,
+      "loss": 0.7383,
+      "step": 14794
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.94596990590992e-06,
+      "loss": 0.7792,
+      "step": 14795
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.944729711856999e-06,
+      "loss": 0.782,
+      "step": 14796
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.943489550809148e-06,
+      "loss": 0.6887,
+      "step": 14797
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.94224942278628e-06,
+      "loss": 0.891,
+      "step": 14798
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.941009327808305e-06,
+      "loss": 0.7435,
+      "step": 14799
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.939769265895138e-06,
+      "loss": 0.8033,
+      "step": 14800
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.938529237066698e-06,
+      "loss": 0.7965,
+      "step": 14801
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.937289241342893e-06,
+      "loss": 0.7699,
+      "step": 14802
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.936049278743641e-06,
+      "loss": 0.7527,
+      "step": 14803
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.93480934928885e-06,
+      "loss": 0.7745,
+      "step": 14804
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.933569452998433e-06,
+      "loss": 0.6883,
+      "step": 14805
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.932329589892303e-06,
+      "loss": 0.7346,
+      "step": 14806
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.931089759990367e-06,
+      "loss": 0.8019,
+      "step": 14807
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.929849963312536e-06,
+      "loss": 0.8461,
+      "step": 14808
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.92861019987872e-06,
+      "loss": 0.6618,
+      "step": 14809
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.92737046970883e-06,
+      "loss": 0.7512,
+      "step": 14810
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.926130772822775e-06,
+      "loss": 0.7777,
+      "step": 14811
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.92489110924046e-06,
+      "loss": 0.8545,
+      "step": 14812
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.923651478981793e-06,
+      "loss": 0.8126,
+      "step": 14813
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.922411882066678e-06,
+      "loss": 0.6338,
+      "step": 14814
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.921172318515028e-06,
+      "loss": 0.7332,
+      "step": 14815
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.919932788346748e-06,
+      "loss": 0.6359,
+      "step": 14816
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.91869329158174e-06,
+      "loss": 0.9185,
+      "step": 14817
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.917453828239905e-06,
+      "loss": 0.7704,
+      "step": 14818
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.916214398341156e-06,
+      "loss": 0.7749,
+      "step": 14819
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.914975001905393e-06,
+      "loss": 0.7868,
+      "step": 14820
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.913735638952518e-06,
+      "loss": 0.7969,
+      "step": 14821
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.912496309502435e-06,
+      "loss": 0.6915,
+      "step": 14822
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.91125701357504e-06,
+      "loss": 1.009,
+      "step": 14823
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.910017751190246e-06,
+      "loss": 0.8353,
+      "step": 14824
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.908778522367949e-06,
+      "loss": 0.8986,
+      "step": 14825
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.907539327128046e-06,
+      "loss": 0.8204,
+      "step": 14826
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.906300165490437e-06,
+      "loss": 0.7193,
+      "step": 14827
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.905061037475026e-06,
+      "loss": 0.7863,
+      "step": 14828
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.903821943101711e-06,
+      "loss": 0.8209,
+      "step": 14829
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.90258288239039e-06,
+      "loss": 0.8486,
+      "step": 14830
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.901343855360954e-06,
+      "loss": 0.7635,
+      "step": 14831
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.90010486203331e-06,
+      "loss": 0.7919,
+      "step": 14832
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.898865902427351e-06,
+      "loss": 0.6926,
+      "step": 14833
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.897626976562974e-06,
+      "loss": 0.7493,
+      "step": 14834
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.896388084460071e-06,
+      "loss": 0.7434,
+      "step": 14835
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.895149226138536e-06,
+      "loss": 0.848,
+      "step": 14836
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.893910401618271e-06,
+      "loss": 0.7758,
+      "step": 14837
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.892671610919166e-06,
+      "loss": 0.93,
+      "step": 14838
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.891432854061115e-06,
+      "loss": 0.9015,
+      "step": 14839
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.890194131064008e-06,
+      "loss": 0.738,
+      "step": 14840
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.888955441947738e-06,
+      "loss": 0.7449,
+      "step": 14841
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.887716786732202e-06,
+      "loss": 0.7526,
+      "step": 14842
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.886478165437288e-06,
+      "loss": 0.7149,
+      "step": 14843
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.885239578082885e-06,
+      "loss": 0.6388,
+      "step": 14844
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.884001024688881e-06,
+      "loss": 0.8839,
+      "step": 14845
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.882762505275175e-06,
+      "loss": 0.7632,
+      "step": 14846
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.881524019861645e-06,
+      "loss": 0.8486,
+      "step": 14847
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.880285568468187e-06,
+      "loss": 0.7921,
+      "step": 14848
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.879047151114686e-06,
+      "loss": 0.7371,
+      "step": 14849
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.877808767821031e-06,
+      "loss": 0.7576,
+      "step": 14850
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.876570418607108e-06,
+      "loss": 0.8313,
+      "step": 14851
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.875332103492803e-06,
+      "loss": 0.8423,
+      "step": 14852
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.874093822498002e-06,
+      "loss": 0.8113,
+      "step": 14853
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.872855575642589e-06,
+      "loss": 0.7403,
+      "step": 14854
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.871617362946451e-06,
+      "loss": 0.875,
+      "step": 14855
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.870379184429472e-06,
+      "loss": 0.9038,
+      "step": 14856
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.869141040111534e-06,
+      "loss": 0.7221,
+      "step": 14857
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.867902930012518e-06,
+      "loss": 0.7002,
+      "step": 14858
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.866664854152312e-06,
+      "loss": 0.6994,
+      "step": 14859
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.865426812550795e-06,
+      "loss": 0.8519,
+      "step": 14860
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.864188805227852e-06,
+      "loss": 0.7798,
+      "step": 14861
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.862950832203358e-06,
+      "loss": 0.8506,
+      "step": 14862
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.861712893497191e-06,
+      "loss": 0.726,
+      "step": 14863
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.86047498912924e-06,
+      "loss": 0.7312,
+      "step": 14864
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.85923711911938e-06,
+      "loss": 0.5955,
+      "step": 14865
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.85799928348749e-06,
+      "loss": 0.7773,
+      "step": 14866
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.856761482253442e-06,
+      "loss": 0.7445,
+      "step": 14867
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.855523715437123e-06,
+      "loss": 0.6778,
+      "step": 14868
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.854285983058408e-06,
+      "loss": 0.6406,
+      "step": 14869
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.85304828513717e-06,
+      "loss": 0.7736,
+      "step": 14870
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.851810621693287e-06,
+      "loss": 0.8368,
+      "step": 14871
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.850572992746628e-06,
+      "loss": 0.7958,
+      "step": 14872
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.849335398317078e-06,
+      "loss": 0.8598,
+      "step": 14873
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.848097838424506e-06,
+      "loss": 0.7618,
+      "step": 14874
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.846860313088788e-06,
+      "loss": 0.7904,
+      "step": 14875
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.84562282232979e-06,
+      "loss": 0.8358,
+      "step": 14876
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.844385366167396e-06,
+      "loss": 0.8349,
+      "step": 14877
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.843147944621468e-06,
+      "loss": 0.7236,
+      "step": 14878
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.841910557711884e-06,
+      "loss": 0.863,
+      "step": 14879
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.840673205458513e-06,
+      "loss": 0.7185,
+      "step": 14880
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.839435887881218e-06,
+      "loss": 0.7566,
+      "step": 14881
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.838198604999881e-06,
+      "loss": 0.8333,
+      "step": 14882
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.836961356834365e-06,
+      "loss": 0.6681,
+      "step": 14883
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.835724143404539e-06,
+      "loss": 0.8926,
+      "step": 14884
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.83448696473027e-06,
+      "loss": 0.8779,
+      "step": 14885
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.833249820831425e-06,
+      "loss": 0.6688,
+      "step": 14886
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.832012711727877e-06,
+      "loss": 0.7477,
+      "step": 14887
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.830775637439487e-06,
+      "loss": 0.6662,
+      "step": 14888
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.82953859798612e-06,
+      "loss": 0.7899,
+      "step": 14889
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.828301593387646e-06,
+      "loss": 0.7536,
+      "step": 14890
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.827064623663927e-06,
+      "loss": 0.7946,
+      "step": 14891
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.825827688834826e-06,
+      "loss": 0.8614,
+      "step": 14892
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.82459078892021e-06,
+      "loss": 0.8458,
+      "step": 14893
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.823353923939936e-06,
+      "loss": 0.7668,
+      "step": 14894
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.822117093913874e-06,
+      "loss": 0.8413,
+      "step": 14895
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.820880298861881e-06,
+      "loss": 0.7208,
+      "step": 14896
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.819643538803819e-06,
+      "loss": 0.8205,
+      "step": 14897
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.81840681375955e-06,
+      "loss": 0.7751,
+      "step": 14898
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.817170123748935e-06,
+      "loss": 0.8997,
+      "step": 14899
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.815933468791833e-06,
+      "loss": 0.776,
+      "step": 14900
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.814696848908103e-06,
+      "loss": 0.7591,
+      "step": 14901
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.813460264117603e-06,
+      "loss": 0.7865,
+      "step": 14902
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.812223714440188e-06,
+      "loss": 0.6581,
+      "step": 14903
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.810987199895721e-06,
+      "loss": 0.8522,
+      "step": 14904
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.809750720504058e-06,
+      "loss": 0.7288,
+      "step": 14905
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.808514276285052e-06,
+      "loss": 0.8255,
+      "step": 14906
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.807277867258559e-06,
+      "loss": 0.7395,
+      "step": 14907
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.806041493444439e-06,
+      "loss": 0.596,
+      "step": 14908
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.804805154862543e-06,
+      "loss": 0.7691,
+      "step": 14909
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.803568851532725e-06,
+      "loss": 0.7946,
+      "step": 14910
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.80233258347484e-06,
+      "loss": 0.6831,
+      "step": 14911
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.801096350708735e-06,
+      "loss": 0.7801,
+      "step": 14912
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.799860153254271e-06,
+      "loss": 0.6961,
+      "step": 14913
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.798623991131298e-06,
+      "loss": 0.7904,
+      "step": 14914
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.797387864359664e-06,
+      "loss": 0.8651,
+      "step": 14915
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.796151772959216e-06,
+      "loss": 0.837,
+      "step": 14916
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.794915716949815e-06,
+      "loss": 0.8919,
+      "step": 14917
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.793679696351302e-06,
+      "loss": 0.7854,
+      "step": 14918
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.792443711183531e-06,
+      "loss": 0.8012,
+      "step": 14919
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.791207761466346e-06,
+      "loss": 0.8362,
+      "step": 14920
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.789971847219593e-06,
+      "loss": 0.8692,
+      "step": 14921
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.788735968463128e-06,
+      "loss": 0.6795,
+      "step": 14922
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.78750012521679e-06,
+      "loss": 0.8072,
+      "step": 14923
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.786264317500429e-06,
+      "loss": 0.7638,
+      "step": 14924
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.785028545333885e-06,
+      "loss": 0.64,
+      "step": 14925
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.78379280873701e-06,
+      "loss": 0.9062,
+      "step": 14926
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.782557107729646e-06,
+      "loss": 0.8291,
+      "step": 14927
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.781321442331637e-06,
+      "loss": 0.7671,
+      "step": 14928
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.780085812562827e-06,
+      "loss": 0.766,
+      "step": 14929
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.77885021844305e-06,
+      "loss": 0.8045,
+      "step": 14930
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.777614659992162e-06,
+      "loss": 0.6942,
+      "step": 14931
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.776379137229996e-06,
+      "loss": 0.713,
+      "step": 14932
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.775143650176394e-06,
+      "loss": 0.779,
+      "step": 14933
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.773908198851197e-06,
+      "loss": 0.9595,
+      "step": 14934
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.772672783274246e-06,
+      "loss": 0.757,
+      "step": 14935
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.771437403465377e-06,
+      "loss": 0.8657,
+      "step": 14936
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.770202059444433e-06,
+      "loss": 0.7082,
+      "step": 14937
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.76896675123125e-06,
+      "loss": 0.6128,
+      "step": 14938
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.767731478845662e-06,
+      "loss": 0.8259,
+      "step": 14939
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.766496242307513e-06,
+      "loss": 0.8608,
+      "step": 14940
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.765261041636635e-06,
+      "loss": 0.7777,
+      "step": 14941
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.764025876852861e-06,
+      "loss": 0.8571,
+      "step": 14942
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.762790747976031e-06,
+      "loss": 0.6945,
+      "step": 14943
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.761555655025981e-06,
+      "loss": 0.7026,
+      "step": 14944
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.76032059802254e-06,
+      "loss": 0.8495,
+      "step": 14945
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.759085576985546e-06,
+      "loss": 0.7767,
+      "step": 14946
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.757850591934825e-06,
+      "loss": 0.8324,
+      "step": 14947
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.756615642890217e-06,
+      "loss": 0.788,
+      "step": 14948
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.75538072987155e-06,
+      "loss": 0.6143,
+      "step": 14949
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.754145852898658e-06,
+      "loss": 0.7141,
+      "step": 14950
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.75291101199137e-06,
+      "loss": 0.7239,
+      "step": 14951
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.751676207169509e-06,
+      "loss": 0.8497,
+      "step": 14952
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.750441438452915e-06,
+      "loss": 0.7908,
+      "step": 14953
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.749206705861413e-06,
+      "loss": 0.7399,
+      "step": 14954
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.747972009414832e-06,
+      "loss": 0.7966,
+      "step": 14955
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.746737349132994e-06,
+      "loss": 0.8118,
+      "step": 14956
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.745502725035733e-06,
+      "loss": 0.7015,
+      "step": 14957
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.744268137142875e-06,
+      "loss": 0.8053,
+      "step": 14958
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.743033585474244e-06,
+      "loss": 0.8981,
+      "step": 14959
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.741799070049665e-06,
+      "loss": 0.7659,
+      "step": 14960
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.740564590888959e-06,
+      "loss": 0.8078,
+      "step": 14961
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.73933014801196e-06,
+      "loss": 0.8225,
+      "step": 14962
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.738095741438485e-06,
+      "loss": 0.7567,
+      "step": 14963
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.736861371188357e-06,
+      "loss": 0.7514,
+      "step": 14964
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.735627037281396e-06,
+      "loss": 0.6253,
+      "step": 14965
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.734392739737434e-06,
+      "loss": 0.7704,
+      "step": 14966
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.733158478576283e-06,
+      "loss": 0.6491,
+      "step": 14967
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.731924253817767e-06,
+      "loss": 0.849,
+      "step": 14968
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.730690065481704e-06,
+      "loss": 0.8467,
+      "step": 14969
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.729455913587914e-06,
+      "loss": 0.8515,
+      "step": 14970
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.728221798156218e-06,
+      "loss": 0.7395,
+      "step": 14971
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.726987719206433e-06,
+      "loss": 0.7863,
+      "step": 14972
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.725753676758379e-06,
+      "loss": 0.6963,
+      "step": 14973
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.72451967083187e-06,
+      "loss": 0.7964,
+      "step": 14974
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.723285701446722e-06,
+      "loss": 0.7839,
+      "step": 14975
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.722051768622754e-06,
+      "loss": 0.7269,
+      "step": 14976
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.720817872379782e-06,
+      "loss": 0.8191,
+      "step": 14977
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.719584012737618e-06,
+      "loss": 0.717,
+      "step": 14978
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.718350189716075e-06,
+      "loss": 0.9195,
+      "step": 14979
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.717116403334972e-06,
+      "loss": 0.6694,
+      "step": 14980
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.715882653614115e-06,
+      "loss": 0.7685,
+      "step": 14981
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.714648940573323e-06,
+      "loss": 0.8626,
+      "step": 14982
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.713415264232405e-06,
+      "loss": 0.6477,
+      "step": 14983
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.712181624611174e-06,
+      "loss": 0.7488,
+      "step": 14984
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.710948021729438e-06,
+      "loss": 0.8574,
+      "step": 14985
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.70971445560701e-06,
+      "loss": 0.7059,
+      "step": 14986
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.708480926263695e-06,
+      "loss": 0.7018,
+      "step": 14987
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.707247433719306e-06,
+      "loss": 0.8584,
+      "step": 14988
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.70601397799365e-06,
+      "loss": 0.7805,
+      "step": 14989
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.704780559106538e-06,
+      "loss": 0.7904,
+      "step": 14990
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.70354717707777e-06,
+      "loss": 0.6743,
+      "step": 14991
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.702313831927156e-06,
+      "loss": 0.7444,
+      "step": 14992
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.701080523674506e-06,
+      "loss": 0.706,
+      "step": 14993
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.699847252339623e-06,
+      "loss": 0.7926,
+      "step": 14994
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.69861401794231e-06,
+      "loss": 0.7401,
+      "step": 14995
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.697380820502372e-06,
+      "loss": 0.8202,
+      "step": 14996
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.696147660039609e-06,
+      "loss": 0.8187,
+      "step": 14997
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.69491453657383e-06,
+      "loss": 0.86,
+      "step": 14998
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.693681450124837e-06,
+      "loss": 0.5828,
+      "step": 14999
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.69244840071243e-06,
+      "loss": 0.8701,
+      "step": 15000
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.691215388356403e-06,
+      "loss": 0.7466,
+      "step": 15001
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.68998241307657e-06,
+      "loss": 0.8882,
+      "step": 15002
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.688749474892727e-06,
+      "loss": 0.7343,
+      "step": 15003
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.68751657382467e-06,
+      "loss": 0.7883,
+      "step": 15004
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.686283709892192e-06,
+      "loss": 0.7844,
+      "step": 15005
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.685050883115106e-06,
+      "loss": 0.7045,
+      "step": 15006
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.683818093513201e-06,
+      "loss": 0.6808,
+      "step": 15007
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.682585341106276e-06,
+      "loss": 0.8315,
+      "step": 15008
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.681352625914125e-06,
+      "loss": 0.6856,
+      "step": 15009
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.680119947956542e-06,
+      "loss": 0.8406,
+      "step": 15010
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.678887307253329e-06,
+      "loss": 0.7711,
+      "step": 15011
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.677654703824279e-06,
+      "loss": 0.9463,
+      "step": 15012
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.676422137689183e-06,
+      "loss": 0.7961,
+      "step": 15013
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.675189608867832e-06,
+      "loss": 0.8086,
+      "step": 15014
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.673957117380027e-06,
+      "loss": 0.6264,
+      "step": 15015
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.672724663245555e-06,
+      "loss": 0.8253,
+      "step": 15016
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.67149224648421e-06,
+      "loss": 0.6257,
+      "step": 15017
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.670259867115781e-06,
+      "loss": 0.7581,
+      "step": 15018
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.669027525160057e-06,
+      "loss": 0.6965,
+      "step": 15019
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.66779522063683e-06,
+      "loss": 0.7848,
+      "step": 15020
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.666562953565894e-06,
+      "loss": 0.7401,
+      "step": 15021
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.66533072396703e-06,
+      "loss": 0.8366,
+      "step": 15022
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.664098531860029e-06,
+      "loss": 0.8949,
+      "step": 15023
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.66286637726468e-06,
+      "loss": 0.7013,
+      "step": 15024
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.661634260200767e-06,
+      "loss": 0.9363,
+      "step": 15025
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.660402180688076e-06,
+      "loss": 0.8208,
+      "step": 15026
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.659170138746398e-06,
+      "loss": 0.747,
+      "step": 15027
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.65793813439551e-06,
+      "loss": 0.8571,
+      "step": 15028
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.656706167655205e-06,
+      "loss": 0.6086,
+      "step": 15029
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.655474238545261e-06,
+      "loss": 0.7841,
+      "step": 15030
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.654242347085462e-06,
+      "loss": 0.7993,
+      "step": 15031
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.653010493295592e-06,
+      "loss": 0.7914,
+      "step": 15032
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.651778677195433e-06,
+      "loss": 0.868,
+      "step": 15033
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.650546898804766e-06,
+      "loss": 0.9299,
+      "step": 15034
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.649315158143373e-06,
+      "loss": 0.7835,
+      "step": 15035
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.648083455231033e-06,
+      "loss": 0.9183,
+      "step": 15036
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.646851790087519e-06,
+      "loss": 0.7525,
+      "step": 15037
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.645620162732624e-06,
+      "loss": 0.7958,
+      "step": 15038
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.644388573186116e-06,
+      "loss": 0.8267,
+      "step": 15039
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.643157021467778e-06,
+      "loss": 0.6606,
+      "step": 15040
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.641925507597381e-06,
+      "loss": 0.6294,
+      "step": 15041
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.640694031594708e-06,
+      "loss": 0.6041,
+      "step": 15042
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.639462593479533e-06,
+      "loss": 0.7725,
+      "step": 15043
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.638231193271632e-06,
+      "loss": 0.942,
+      "step": 15044
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.636999830990777e-06,
+      "loss": 0.9714,
+      "step": 15045
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.63576850665674e-06,
+      "loss": 0.8368,
+      "step": 15046
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.634537220289303e-06,
+      "loss": 0.8465,
+      "step": 15047
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.633305971908234e-06,
+      "loss": 0.8776,
+      "step": 15048
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.632074761533304e-06,
+      "loss": 0.7673,
+      "step": 15049
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.630843589184284e-06,
+      "loss": 0.8505,
+      "step": 15050
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.62961245488095e-06,
+      "loss": 0.7103,
+      "step": 15051
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.628381358643071e-06,
+      "loss": 0.7721,
+      "step": 15052
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.6271503004904144e-06,
+      "loss": 0.7036,
+      "step": 15053
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.625919280442751e-06,
+      "loss": 0.7017,
+      "step": 15054
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.624688298519844e-06,
+      "loss": 0.8679,
+      "step": 15055
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.623457354741472e-06,
+      "loss": 0.7004,
+      "step": 15056
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.6222264491273965e-06,
+      "loss": 0.762,
+      "step": 15057
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.6209955816973854e-06,
+      "loss": 0.7351,
+      "step": 15058
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.6197647524712e-06,
+      "loss": 0.7191,
+      "step": 15059
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.618533961468612e-06,
+      "loss": 0.7285,
+      "step": 15060
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.617303208709388e-06,
+      "loss": 0.8157,
+      "step": 15061
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.616072494213286e-06,
+      "loss": 0.8247,
+      "step": 15062
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.614841818000071e-06,
+      "loss": 0.8895,
+      "step": 15063
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.613611180089508e-06,
+      "loss": 0.776,
+      "step": 15064
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.612380580501362e-06,
+      "loss": 0.8459,
+      "step": 15065
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.611150019255391e-06,
+      "loss": 0.6418,
+      "step": 15066
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.609919496371357e-06,
+      "loss": 0.7751,
+      "step": 15067
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.608689011869019e-06,
+      "loss": 0.7694,
+      "step": 15068
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.607458565768142e-06,
+      "loss": 0.85,
+      "step": 15069
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.60622815808848e-06,
+      "loss": 0.8425,
+      "step": 15070
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.604997788849795e-06,
+      "loss": 0.7504,
+      "step": 15071
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.603767458071843e-06,
+      "loss": 0.6874,
+      "step": 15072
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.602537165774386e-06,
+      "loss": 0.8229,
+      "step": 15073
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.601306911977178e-06,
+      "loss": 0.746,
+      "step": 15074
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.600076696699974e-06,
+      "loss": 0.6821,
+      "step": 15075
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.598846519962529e-06,
+      "loss": 0.6976,
+      "step": 15076
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.597616381784601e-06,
+      "loss": 0.6876,
+      "step": 15077
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5963862821859456e-06,
+      "loss": 0.7364,
+      "step": 15078
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.595156221186314e-06,
+      "loss": 0.8727,
+      "step": 15079
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.59392619880546e-06,
+      "loss": 0.8073,
+      "step": 15080
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5926962150631324e-06,
+      "loss": 0.7129,
+      "step": 15081
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.591466269979091e-06,
+      "loss": 0.761,
+      "step": 15082
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5902363635730835e-06,
+      "loss": 0.7556,
+      "step": 15083
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.589006495864861e-06,
+      "loss": 0.7625,
+      "step": 15084
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.587776666874171e-06,
+      "loss": 0.804,
+      "step": 15085
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.586546876620763e-06,
+      "loss": 0.8273,
+      "step": 15086
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.585317125124392e-06,
+      "loss": 0.8148,
+      "step": 15087
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.584087412404802e-06,
+      "loss": 0.7006,
+      "step": 15088
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5828577384817395e-06,
+      "loss": 0.7631,
+      "step": 15089
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.58162810337495e-06,
+      "loss": 0.6985,
+      "step": 15090
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.580398507104186e-06,
+      "loss": 0.8689,
+      "step": 15091
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.579168949689191e-06,
+      "loss": 0.8793,
+      "step": 15092
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.577939431149709e-06,
+      "loss": 0.7555,
+      "step": 15093
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.576709951505484e-06,
+      "loss": 0.9567,
+      "step": 15094
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.575480510776256e-06,
+      "loss": 0.721,
+      "step": 15095
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5742511089817795e-06,
+      "loss": 0.7442,
+      "step": 15096
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.573021746141789e-06,
+      "loss": 0.7921,
+      "step": 15097
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.571792422276028e-06,
+      "loss": 0.7387,
+      "step": 15098
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.570563137404234e-06,
+      "loss": 0.6249,
+      "step": 15099
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.569333891546156e-06,
+      "loss": 0.723,
+      "step": 15100
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.568104684721529e-06,
+      "loss": 0.826,
+      "step": 15101
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.566875516950095e-06,
+      "loss": 0.7628,
+      "step": 15102
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.565646388251591e-06,
+      "loss": 0.8344,
+      "step": 15103
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.56441729864575e-06,
+      "loss": 0.7975,
+      "step": 15104
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5631882481523215e-06,
+      "loss": 0.7667,
+      "step": 15105
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5619592367910345e-06,
+      "loss": 0.7163,
+      "step": 15106
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.560730264581629e-06,
+      "loss": 0.7094,
+      "step": 15107
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.559501331543835e-06,
+      "loss": 0.7904,
+      "step": 15108
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.558272437697392e-06,
+      "loss": 0.8185,
+      "step": 15109
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.557043583062036e-06,
+      "loss": 0.9642,
+      "step": 15110
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.555814767657499e-06,
+      "loss": 0.655,
+      "step": 15111
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.554585991503514e-06,
+      "loss": 0.7831,
+      "step": 15112
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.553357254619811e-06,
+      "loss": 0.6809,
+      "step": 15113
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.552128557026129e-06,
+      "loss": 0.687,
+      "step": 15114
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.55089989874219e-06,
+      "loss": 0.6414,
+      "step": 15115
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5496712797877334e-06,
+      "loss": 0.8295,
+      "step": 15116
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.548442700182483e-06,
+      "loss": 0.8556,
+      "step": 15117
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.547214159946174e-06,
+      "loss": 0.763,
+      "step": 15118
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.545985659098531e-06,
+      "loss": 0.685,
+      "step": 15119
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.544757197659284e-06,
+      "loss": 0.6046,
+      "step": 15120
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5435287756481544e-06,
+      "loss": 0.7783,
+      "step": 15121
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.54230039308488e-06,
+      "loss": 0.6729,
+      "step": 15122
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5410720499891806e-06,
+      "loss": 0.969,
+      "step": 15123
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.539843746380784e-06,
+      "loss": 0.8059,
+      "step": 15124
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5386154822794135e-06,
+      "loss": 0.769,
+      "step": 15125
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.537387257704789e-06,
+      "loss": 0.8183,
+      "step": 15126
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.536159072676645e-06,
+      "loss": 0.7743,
+      "step": 15127
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.534930927214699e-06,
+      "loss": 0.762,
+      "step": 15128
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.533702821338672e-06,
+      "loss": 0.8393,
+      "step": 15129
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.532474755068284e-06,
+      "loss": 0.7858,
+      "step": 15130
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.531246728423264e-06,
+      "loss": 0.7875,
+      "step": 15131
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.530018741423328e-06,
+      "loss": 0.8256,
+      "step": 15132
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.528790794088194e-06,
+      "loss": 0.8315,
+      "step": 15133
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.527562886437585e-06,
+      "loss": 0.6032,
+      "step": 15134
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.526335018491213e-06,
+      "loss": 0.8267,
+      "step": 15135
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.525107190268805e-06,
+      "loss": 0.738,
+      "step": 15136
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.523879401790076e-06,
+      "loss": 0.7472,
+      "step": 15137
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5226516530747395e-06,
+      "loss": 0.8844,
+      "step": 15138
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.52142394414251e-06,
+      "loss": 0.8028,
+      "step": 15139
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.520196275013109e-06,
+      "loss": 0.7589,
+      "step": 15140
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.518968645706249e-06,
+      "loss": 0.7217,
+      "step": 15141
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.517741056241644e-06,
+      "loss": 0.6669,
+      "step": 15142
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.516513506639007e-06,
+      "loss": 0.7741,
+      "step": 15143
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.515285996918047e-06,
+      "loss": 0.7423,
+      "step": 15144
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.514058527098484e-06,
+      "loss": 0.711,
+      "step": 15145
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.512831097200026e-06,
+      "loss": 0.7964,
+      "step": 15146
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5116037072423855e-06,
+      "loss": 0.7766,
+      "step": 15147
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.510376357245266e-06,
+      "loss": 0.734,
+      "step": 15148
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.509149047228387e-06,
+      "loss": 0.7951,
+      "step": 15149
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.507921777211452e-06,
+      "loss": 0.8597,
+      "step": 15150
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.506694547214172e-06,
+      "loss": 0.792,
+      "step": 15151
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.505467357256252e-06,
+      "loss": 0.6827,
+      "step": 15152
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5042402073573995e-06,
+      "loss": 0.6729,
+      "step": 15153
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.503013097537322e-06,
+      "loss": 0.821,
+      "step": 15154
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.501786027815726e-06,
+      "loss": 0.9101,
+      "step": 15155
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.500558998212318e-06,
+      "loss": 0.7524,
+      "step": 15156
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4993320087467955e-06,
+      "loss": 0.7061,
+      "step": 15157
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4981050594388716e-06,
+      "loss": 0.8383,
+      "step": 15158
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4968781503082445e-06,
+      "loss": 0.7699,
+      "step": 15159
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.495651281374616e-06,
+      "loss": 0.6827,
+      "step": 15160
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.494424452657691e-06,
+      "loss": 0.7086,
+      "step": 15161
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.49319766417717e-06,
+      "loss": 0.8441,
+      "step": 15162
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.491970915952753e-06,
+      "loss": 0.7408,
+      "step": 15163
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4907442080041415e-06,
+      "loss": 0.8128,
+      "step": 15164
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.489517540351032e-06,
+      "loss": 0.844,
+      "step": 15165
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.488290913013123e-06,
+      "loss": 0.8198,
+      "step": 15166
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.487064326010118e-06,
+      "loss": 0.7632,
+      "step": 15167
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.485837779361712e-06,
+      "loss": 0.7973,
+      "step": 15168
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.484611273087601e-06,
+      "loss": 0.7987,
+      "step": 15169
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.483384807207479e-06,
+      "loss": 0.7395,
+      "step": 15170
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.48215838174104e-06,
+      "loss": 0.8976,
+      "step": 15171
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.480931996707988e-06,
+      "loss": 0.8302,
+      "step": 15172
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.479705652128009e-06,
+      "loss": 0.8154,
+      "step": 15173
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4784793480208e-06,
+      "loss": 0.6901,
+      "step": 15174
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.47725308440605e-06,
+      "loss": 0.7925,
+      "step": 15175
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.476026861303458e-06,
+      "loss": 0.8715,
+      "step": 15176
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.474800678732712e-06,
+      "loss": 0.6974,
+      "step": 15177
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4735745367135014e-06,
+      "loss": 0.6723,
+      "step": 15178
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.472348435265515e-06,
+      "loss": 0.7661,
+      "step": 15179
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.471122374408451e-06,
+      "loss": 0.8252,
+      "step": 15180
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4698963541619895e-06,
+      "loss": 0.7954,
+      "step": 15181
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.468670374545826e-06,
+      "loss": 0.6192,
+      "step": 15182
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.46744443557964e-06,
+      "loss": 0.8558,
+      "step": 15183
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.466218537283122e-06,
+      "loss": 0.667,
+      "step": 15184
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.464992679675962e-06,
+      "loss": 0.7711,
+      "step": 15185
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.463766862777844e-06,
+      "loss": 0.8161,
+      "step": 15186
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.462541086608453e-06,
+      "loss": 0.7884,
+      "step": 15187
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.461315351187466e-06,
+      "loss": 0.7877,
+      "step": 15188
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.460089656534578e-06,
+      "loss": 0.7038,
+      "step": 15189
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.458864002669468e-06,
+      "loss": 0.9331,
+      "step": 15190
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.457638389611818e-06,
+      "loss": 0.769,
+      "step": 15191
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4564128173813085e-06,
+      "loss": 0.7477,
+      "step": 15192
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.455187285997619e-06,
+      "loss": 0.6502,
+      "step": 15193
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.453961795480438e-06,
+      "loss": 0.8279,
+      "step": 15194
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.452736345849438e-06,
+      "loss": 0.7957,
+      "step": 15195
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.451510937124301e-06,
+      "loss": 0.8059,
+      "step": 15196
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.450285569324703e-06,
+      "loss": 0.7761,
+      "step": 15197
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.449060242470324e-06,
+      "loss": 0.7563,
+      "step": 15198
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.447834956580844e-06,
+      "loss": 0.6685,
+      "step": 15199
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.446609711675935e-06,
+      "loss": 0.8584,
+      "step": 15200
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.445384507775275e-06,
+      "loss": 0.7739,
+      "step": 15201
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4441593448985365e-06,
+      "loss": 0.7122,
+      "step": 15202
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.442934223065399e-06,
+      "loss": 0.8072,
+      "step": 15203
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.44170914229553e-06,
+      "loss": 0.9771,
+      "step": 15204
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4404841026086096e-06,
+      "loss": 0.6623,
+      "step": 15205
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4392591040243056e-06,
+      "loss": 0.7246,
+      "step": 15206
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.438034146562294e-06,
+      "loss": 0.7455,
+      "step": 15207
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.4368092302422424e-06,
+      "loss": 0.7512,
+      "step": 15208
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.435584355083822e-06,
+      "loss": 0.8045,
+      "step": 15209
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.4343595211067045e-06,
+      "loss": 0.8604,
+      "step": 15210
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.433134728330555e-06,
+      "loss": 0.7647,
+      "step": 15211
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.431909976775049e-06,
+      "loss": 0.8643,
+      "step": 15212
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.43068526645985e-06,
+      "loss": 0.7683,
+      "step": 15213
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.4294605974046275e-06,
+      "loss": 0.7385,
+      "step": 15214
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.42823596962904e-06,
+      "loss": 0.7415,
+      "step": 15215
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.427011383152767e-06,
+      "loss": 0.6858,
+      "step": 15216
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.425786837995466e-06,
+      "loss": 0.7714,
+      "step": 15217
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.424562334176804e-06,
+      "loss": 0.6364,
+      "step": 15218
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.423337871716442e-06,
+      "loss": 0.7836,
+      "step": 15219
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.4221134506340405e-06,
+      "loss": 0.7314,
+      "step": 15220
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.420889070949272e-06,
+      "loss": 0.8271,
+      "step": 15221
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.419664732681793e-06,
+      "loss": 0.7669,
+      "step": 15222
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.418440435851265e-06,
+      "loss": 0.7972,
+      "step": 15223
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.417216180477344e-06,
+      "loss": 0.7775,
+      "step": 15224
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.4159919665797006e-06,
+      "loss": 0.7034,
+      "step": 15225
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.414767794177986e-06,
+      "loss": 0.7088,
+      "step": 15226
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.413543663291864e-06,
+      "loss": 0.8573,
+      "step": 15227
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.412319573940987e-06,
+      "loss": 0.8774,
+      "step": 15228
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.411095526145011e-06,
+      "loss": 0.8358,
+      "step": 15229
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.4098715199236036e-06,
+      "loss": 0.865,
+      "step": 15230
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.408647555296411e-06,
+      "loss": 0.8309,
+      "step": 15231
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.4074236322830926e-06,
+      "loss": 0.8262,
+      "step": 15232
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.406199750903299e-06,
+      "loss": 0.6974,
+      "step": 15233
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.404975911176691e-06,
+      "loss": 0.6825,
+      "step": 15234
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.403752113122918e-06,
+      "loss": 0.6513,
+      "step": 15235
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.4025283567616315e-06,
+      "loss": 0.6931,
+      "step": 15236
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.401304642112481e-06,
+      "loss": 0.7732,
+      "step": 15237
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.4000809691951255e-06,
+      "loss": 0.9026,
+      "step": 15238
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.398857338029213e-06,
+      "loss": 0.7751,
+      "step": 15239
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.397633748634392e-06,
+      "loss": 0.8257,
+      "step": 15240
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.39641020103031e-06,
+      "loss": 0.7995,
+      "step": 15241
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.395186695236618e-06,
+      "loss": 0.8773,
+      "step": 15242
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.393963231272964e-06,
+      "loss": 0.7637,
+      "step": 15243
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.392739809158995e-06,
+      "loss": 0.684,
+      "step": 15244
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3915164289143595e-06,
+      "loss": 0.8347,
+      "step": 15245
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.390293090558698e-06,
+      "loss": 0.9128,
+      "step": 15246
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.389069794111663e-06,
+      "loss": 0.7169,
+      "step": 15247
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.387846539592894e-06,
+      "loss": 0.741,
+      "step": 15248
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.386623327022034e-06,
+      "loss": 0.6089,
+      "step": 15249
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.385400156418731e-06,
+      "loss": 0.8347,
+      "step": 15250
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.384177027802624e-06,
+      "loss": 0.6689,
+      "step": 15251
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.382953941193358e-06,
+      "loss": 0.8271,
+      "step": 15252
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.381730896610573e-06,
+      "loss": 0.7179,
+      "step": 15253
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.380507894073907e-06,
+      "loss": 0.7073,
+      "step": 15254
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3792849336029995e-06,
+      "loss": 0.7987,
+      "step": 15255
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.378062015217494e-06,
+      "loss": 0.813,
+      "step": 15256
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.376839138937028e-06,
+      "loss": 0.792,
+      "step": 15257
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.375616304781239e-06,
+      "loss": 0.6399,
+      "step": 15258
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.374393512769764e-06,
+      "loss": 0.7517,
+      "step": 15259
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.373170762922235e-06,
+      "loss": 0.8389,
+      "step": 15260
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.371948055258296e-06,
+      "loss": 0.8398,
+      "step": 15261
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.370725389797577e-06,
+      "loss": 0.7988,
+      "step": 15262
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.369502766559713e-06,
+      "loss": 0.6943,
+      "step": 15263
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.368280185564336e-06,
+      "loss": 0.6112,
+      "step": 15264
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.367057646831085e-06,
+      "loss": 0.6696,
+      "step": 15265
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.365835150379589e-06,
+      "loss": 0.7555,
+      "step": 15266
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.364612696229479e-06,
+      "loss": 0.5365,
+      "step": 15267
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.363390284400388e-06,
+      "loss": 0.7092,
+      "step": 15268
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.362167914911939e-06,
+      "loss": 0.6835,
+      "step": 15269
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.360945587783774e-06,
+      "loss": 0.6788,
+      "step": 15270
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3597233030355165e-06,
+      "loss": 0.9018,
+      "step": 15271
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.358501060686794e-06,
+      "loss": 0.7455,
+      "step": 15272
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.357278860757229e-06,
+      "loss": 0.8299,
+      "step": 15273
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.356056703266459e-06,
+      "loss": 0.8813,
+      "step": 15274
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.354834588234105e-06,
+      "loss": 0.7137,
+      "step": 15275
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.353612515679792e-06,
+      "loss": 0.5894,
+      "step": 15276
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.352390485623146e-06,
+      "loss": 0.7926,
+      "step": 15277
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.351168498083789e-06,
+      "loss": 0.7736,
+      "step": 15278
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.349946553081349e-06,
+      "loss": 0.7632,
+      "step": 15279
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.348724650635448e-06,
+      "loss": 0.9376,
+      "step": 15280
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.347502790765706e-06,
+      "loss": 0.6772,
+      "step": 15281
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.346280973491741e-06,
+      "loss": 0.8164,
+      "step": 15282
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.345059198833185e-06,
+      "loss": 0.8429,
+      "step": 15283
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3438374668096475e-06,
+      "loss": 0.7725,
+      "step": 15284
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.342615777440753e-06,
+      "loss": 0.7476,
+      "step": 15285
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.341394130746122e-06,
+      "loss": 0.7424,
+      "step": 15286
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.340172526745366e-06,
+      "loss": 0.7319,
+      "step": 15287
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3389509654581045e-06,
+      "loss": 0.7758,
+      "step": 15288
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.337729446903961e-06,
+      "loss": 0.7162,
+      "step": 15289
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3365079711025445e-06,
+      "loss": 0.6665,
+      "step": 15290
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.335286538073472e-06,
+      "loss": 0.8163,
+      "step": 15291
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.334065147836359e-06,
+      "loss": 0.7413,
+      "step": 15292
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.33284380041082e-06,
+      "loss": 0.7927,
+      "step": 15293
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3316224958164654e-06,
+      "loss": 0.9363,
+      "step": 15294
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.33040123407291e-06,
+      "loss": 0.7288,
+      "step": 15295
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.329180015199767e-06,
+      "loss": 0.705,
+      "step": 15296
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.327958839216647e-06,
+      "loss": 0.8944,
+      "step": 15297
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.326737706143159e-06,
+      "loss": 0.7388,
+      "step": 15298
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.325516615998915e-06,
+      "loss": 0.6784,
+      "step": 15299
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.324295568803517e-06,
+      "loss": 0.6667,
+      "step": 15300
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3230745645765845e-06,
+      "loss": 0.6105,
+      "step": 15301
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.321853603337719e-06,
+      "loss": 0.7937,
+      "step": 15302
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.32063268510653e-06,
+      "loss": 0.7806,
+      "step": 15303
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3194118099026175e-06,
+      "loss": 0.6926,
+      "step": 15304
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.318190977745598e-06,
+      "loss": 1.0176,
+      "step": 15305
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.316970188655069e-06,
+      "loss": 0.8982,
+      "step": 15306
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.315749442650638e-06,
+      "loss": 0.7363,
+      "step": 15307
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.314528739751907e-06,
+      "loss": 0.8932,
+      "step": 15308
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3133080799784765e-06,
+      "loss": 0.7453,
+      "step": 15309
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.312087463349954e-06,
+      "loss": 0.7389,
+      "step": 15310
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.310866889885939e-06,
+      "loss": 0.8752,
+      "step": 15311
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.309646359606033e-06,
+      "loss": 0.8583,
+      "step": 15312
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.308425872529829e-06,
+      "loss": 0.8581,
+      "step": 15313
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.307205428676939e-06,
+      "loss": 0.8299,
+      "step": 15314
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.305985028066955e-06,
+      "loss": 0.9427,
+      "step": 15315
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.304764670719476e-06,
+      "loss": 0.7534,
+      "step": 15316
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.303544356654098e-06,
+      "loss": 0.7723,
+      "step": 15317
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.302324085890416e-06,
+      "loss": 0.8111,
+      "step": 15318
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.301103858448032e-06,
+      "loss": 0.7754,
+      "step": 15319
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.299883674346538e-06,
+      "loss": 0.6755,
+      "step": 15320
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.29866353360553e-06,
+      "loss": 0.813,
+      "step": 15321
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.297443436244595e-06,
+      "loss": 0.7692,
+      "step": 15322
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.296223382283336e-06,
+      "loss": 0.7953,
+      "step": 15323
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.295003371741343e-06,
+      "loss": 0.9107,
+      "step": 15324
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.293783404638206e-06,
+      "loss": 0.8052,
+      "step": 15325
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.292563480993515e-06,
+      "loss": 0.6641,
+      "step": 15326
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.291343600826859e-06,
+      "loss": 0.7578,
+      "step": 15327
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.2901237641578345e-06,
+      "loss": 0.8922,
+      "step": 15328
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.288903971006027e-06,
+      "loss": 0.813,
+      "step": 15329
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.287684221391025e-06,
+      "loss": 0.6333,
+      "step": 15330
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.286464515332412e-06,
+      "loss": 0.726,
+      "step": 15331
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.285244852849782e-06,
+      "loss": 0.7531,
+      "step": 15332
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.284025233962715e-06,
+      "loss": 0.7863,
+      "step": 15333
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.282805658690801e-06,
+      "loss": 0.7126,
+      "step": 15334
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.281586127053625e-06,
+      "loss": 0.8887,
+      "step": 15335
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.280366639070766e-06,
+      "loss": 0.7259,
+      "step": 15336
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.279147194761813e-06,
+      "loss": 0.758,
+      "step": 15337
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.277927794146345e-06,
+      "loss": 0.7336,
+      "step": 15338
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.276708437243949e-06,
+      "loss": 0.7601,
+      "step": 15339
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.275489124074198e-06,
+      "loss": 0.8121,
+      "step": 15340
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.274269854656682e-06,
+      "loss": 0.6719,
+      "step": 15341
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.273050629010976e-06,
+      "loss": 0.8006,
+      "step": 15342
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.271831447156661e-06,
+      "loss": 0.7127,
+      "step": 15343
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.270612309113309e-06,
+      "loss": 0.7704,
+      "step": 15344
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.2693932149005065e-06,
+      "loss": 0.6313,
+      "step": 15345
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.268174164537829e-06,
+      "loss": 0.8176,
+      "step": 15346
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.266955158044851e-06,
+      "loss": 0.8113,
+      "step": 15347
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.2657361954411465e-06,
+      "loss": 0.7914,
+      "step": 15348
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.26451727674629e-06,
+      "loss": 0.9014,
+      "step": 15349
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.263298401979862e-06,
+      "loss": 0.806,
+      "step": 15350
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.2620795711614335e-06,
+      "loss": 0.7963,
+      "step": 15351
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.260860784310575e-06,
+      "loss": 0.8465,
+      "step": 15352
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.259642041446856e-06,
+      "loss": 0.7566,
+      "step": 15353
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.258423342589857e-06,
+      "loss": 0.6564,
+      "step": 15354
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.257204687759143e-06,
+      "loss": 0.8933,
+      "step": 15355
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.255986076974284e-06,
+      "loss": 0.759,
+      "step": 15356
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.254767510254852e-06,
+      "loss": 0.6651,
+      "step": 15357
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.253548987620408e-06,
+      "loss": 0.6722,
+      "step": 15358
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.2523305090905305e-06,
+      "loss": 0.6887,
+      "step": 15359
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.251112074684783e-06,
+      "loss": 0.9117,
+      "step": 15360
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.24989368442273e-06,
+      "loss": 0.8427,
+      "step": 15361
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.248675338323934e-06,
+      "loss": 0.7717,
+      "step": 15362
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.247457036407968e-06,
+      "loss": 0.7472,
+      "step": 15363
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.246238778694394e-06,
+      "loss": 0.7479,
+      "step": 15364
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.245020565202775e-06,
+      "loss": 0.878,
+      "step": 15365
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.243802395952673e-06,
+      "loss": 0.788,
+      "step": 15366
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.242584270963646e-06,
+      "loss": 0.7527,
+      "step": 15367
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.2413661902552654e-06,
+      "loss": 0.7306,
+      "step": 15368
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.240148153847086e-06,
+      "loss": 0.9191,
+      "step": 15369
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.23893016175867e-06,
+      "loss": 0.7507,
+      "step": 15370
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.237712214009571e-06,
+      "loss": 0.9133,
+      "step": 15371
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.236494310619357e-06,
+      "loss": 0.7926,
+      "step": 15372
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.235276451607582e-06,
+      "loss": 0.8279,
+      "step": 15373
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.234058636993803e-06,
+      "loss": 0.8017,
+      "step": 15374
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.232840866797575e-06,
+      "loss": 0.8003,
+      "step": 15375
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.231623141038454e-06,
+      "loss": 0.6635,
+      "step": 15376
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.230405459735996e-06,
+      "loss": 0.7456,
+      "step": 15377
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.229187822909758e-06,
+      "loss": 0.776,
+      "step": 15378
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.227970230579292e-06,
+      "loss": 0.7148,
+      "step": 15379
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.226752682764149e-06,
+      "loss": 0.706,
+      "step": 15380
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.225535179483882e-06,
+      "loss": 0.6135,
+      "step": 15381
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.224317720758047e-06,
+      "loss": 0.7058,
+      "step": 15382
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.223100306606188e-06,
+      "loss": 0.8588,
+      "step": 15383
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.2218829370478596e-06,
+      "loss": 0.896,
+      "step": 15384
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.220665612102608e-06,
+      "loss": 0.7627,
+      "step": 15385
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.219448331789987e-06,
+      "loss": 0.6721,
+      "step": 15386
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.218231096129541e-06,
+      "loss": 0.9171,
+      "step": 15387
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.217013905140817e-06,
+      "loss": 0.7553,
+      "step": 15388
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.215796758843361e-06,
+      "loss": 0.7762,
+      "step": 15389
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.214579657256722e-06,
+      "loss": 0.8169,
+      "step": 15390
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.213362600400444e-06,
+      "loss": 0.7372,
+      "step": 15391
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.212145588294071e-06,
+      "loss": 0.7012,
+      "step": 15392
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.210928620957146e-06,
+      "loss": 0.8574,
+      "step": 15393
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.209711698409209e-06,
+      "loss": 0.7849,
+      "step": 15394
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.208494820669809e-06,
+      "loss": 0.8497,
+      "step": 15395
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.2072779877584844e-06,
+      "loss": 0.752,
+      "step": 15396
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.206061199694776e-06,
+      "loss": 0.7185,
+      "step": 15397
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.204844456498219e-06,
+      "loss": 0.6395,
+      "step": 15398
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.203627758188363e-06,
+      "loss": 0.7844,
+      "step": 15399
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.202411104784741e-06,
+      "loss": 0.7377,
+      "step": 15400
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.20119449630689e-06,
+      "loss": 0.7047,
+      "step": 15401
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.199977932774349e-06,
+      "loss": 0.8618,
+      "step": 15402
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.198761414206649e-06,
+      "loss": 0.9225,
+      "step": 15403
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.197544940623336e-06,
+      "loss": 0.731,
+      "step": 15404
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.196328512043938e-06,
+      "loss": 0.7148,
+      "step": 15405
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1951121284879925e-06,
+      "loss": 0.7455,
+      "step": 15406
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.193895789975025e-06,
+      "loss": 0.7612,
+      "step": 15407
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.192679496524582e-06,
+      "loss": 0.8348,
+      "step": 15408
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.191463248156186e-06,
+      "loss": 0.7706,
+      "step": 15409
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.190247044889372e-06,
+      "loss": 0.712,
+      "step": 15410
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.189030886743667e-06,
+      "loss": 0.68,
+      "step": 15411
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.187814773738605e-06,
+      "loss": 0.7841,
+      "step": 15412
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.186598705893714e-06,
+      "loss": 0.7361,
+      "step": 15413
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.185382683228524e-06,
+      "loss": 0.7639,
+      "step": 15414
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1841667057625605e-06,
+      "loss": 0.8834,
+      "step": 15415
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.182950773515348e-06,
+      "loss": 0.8631,
+      "step": 15416
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.18173488650642e-06,
+      "loss": 0.8562,
+      "step": 15417
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.180519044755298e-06,
+      "loss": 0.6298,
+      "step": 15418
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.179303248281506e-06,
+      "loss": 0.8564,
+      "step": 15419
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1780874971045685e-06,
+      "loss": 0.7326,
+      "step": 15420
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.176871791244011e-06,
+      "loss": 0.7501,
+      "step": 15421
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.175656130719354e-06,
+      "loss": 0.8514,
+      "step": 15422
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.174440515550122e-06,
+      "loss": 0.7242,
+      "step": 15423
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.173224945755834e-06,
+      "loss": 0.7636,
+      "step": 15424
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.17200942135601e-06,
+      "loss": 0.7844,
+      "step": 15425
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.170793942370173e-06,
+      "loss": 0.8069,
+      "step": 15426
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.16957850881784e-06,
+      "loss": 0.8416,
+      "step": 15427
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.168363120718527e-06,
+      "loss": 0.7578,
+      "step": 15428
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.167147778091754e-06,
+      "loss": 0.7395,
+      "step": 15429
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.165932480957041e-06,
+      "loss": 0.7247,
+      "step": 15430
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1647172293338995e-06,
+      "loss": 0.7388,
+      "step": 15431
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.163502023241849e-06,
+      "loss": 0.7925,
+      "step": 15432
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.162286862700398e-06,
+      "loss": 0.6406,
+      "step": 15433
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1610717477290625e-06,
+      "loss": 0.8337,
+      "step": 15434
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.159856678347361e-06,
+      "loss": 0.8539,
+      "step": 15435
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1586416545748026e-06,
+      "loss": 0.8766,
+      "step": 15436
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1574266764308984e-06,
+      "loss": 0.7883,
+      "step": 15437
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.156211743935157e-06,
+      "loss": 0.8031,
+      "step": 15438
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.154996857107094e-06,
+      "loss": 0.8099,
+      "step": 15439
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.153782015966218e-06,
+      "loss": 0.8651,
+      "step": 15440
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.152567220532034e-06,
+      "loss": 0.6966,
+      "step": 15441
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.151352470824053e-06,
+      "loss": 0.8303,
+      "step": 15442
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.15013776686178e-06,
+      "loss": 0.7702,
+      "step": 15443
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.148923108664725e-06,
+      "loss": 0.8183,
+      "step": 15444
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1477084962523935e-06,
+      "loss": 0.7242,
+      "step": 15445
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.146493929644289e-06,
+      "loss": 0.7695,
+      "step": 15446
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.145279408859912e-06,
+      "loss": 0.7351,
+      "step": 15447
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1440649339187755e-06,
+      "loss": 0.8032,
+      "step": 15448
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.142850504840378e-06,
+      "loss": 0.8029,
+      "step": 15449
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.141636121644219e-06,
+      "loss": 0.7516,
+      "step": 15450
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.140421784349802e-06,
+      "loss": 0.906,
+      "step": 15451
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1392074929766254e-06,
+      "loss": 0.8976,
+      "step": 15452
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.137993247544196e-06,
+      "loss": 0.6687,
+      "step": 15453
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.136779048072009e-06,
+      "loss": 0.7779,
+      "step": 15454
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.135564894579561e-06,
+      "loss": 0.7611,
+      "step": 15455
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.134350787086348e-06,
+      "loss": 0.7418,
+      "step": 15456
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.133136725611876e-06,
+      "loss": 0.7508,
+      "step": 15457
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.131922710175634e-06,
+      "loss": 0.8628,
+      "step": 15458
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.13070874079712e-06,
+      "loss": 0.6345,
+      "step": 15459
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.129494817495828e-06,
+      "loss": 0.7339,
+      "step": 15460
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.128280940291248e-06,
+      "loss": 0.7662,
+      "step": 15461
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.127067109202883e-06,
+      "loss": 0.7648,
+      "step": 15462
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.125853324250218e-06,
+      "loss": 0.7341,
+      "step": 15463
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.1246395854527496e-06,
+      "loss": 0.8651,
+      "step": 15464
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.1234258928299624e-06,
+      "loss": 0.9303,
+      "step": 15465
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.122212246401355e-06,
+      "loss": 0.8308,
+      "step": 15466
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.120998646186409e-06,
+      "loss": 0.8029,
+      "step": 15467
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.11978509220462e-06,
+      "loss": 0.7387,
+      "step": 15468
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.118571584475471e-06,
+      "loss": 0.7691,
+      "step": 15469
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.117358123018454e-06,
+      "loss": 0.7948,
+      "step": 15470
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.116144707853052e-06,
+      "loss": 0.8312,
+      "step": 15471
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.114931338998752e-06,
+      "loss": 0.8054,
+      "step": 15472
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.113718016475041e-06,
+      "loss": 0.785,
+      "step": 15473
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.1125047403014005e-06,
+      "loss": 0.6349,
+      "step": 15474
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.111291510497316e-06,
+      "loss": 0.7963,
+      "step": 15475
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.110078327082271e-06,
+      "loss": 0.8228,
+      "step": 15476
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.108865190075747e-06,
+      "loss": 0.7685,
+      "step": 15477
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.107652099497222e-06,
+      "loss": 0.8471,
+      "step": 15478
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.106439055366182e-06,
+      "loss": 0.7418,
+      "step": 15479
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.105226057702106e-06,
+      "loss": 0.8146,
+      "step": 15480
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.104013106524472e-06,
+      "loss": 0.8313,
+      "step": 15481
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.10280020185276e-06,
+      "loss": 0.852,
+      "step": 15482
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.101587343706441e-06,
+      "loss": 0.7977,
+      "step": 15483
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.100374532105001e-06,
+      "loss": 0.7539,
+      "step": 15484
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.099161767067914e-06,
+      "loss": 0.818,
+      "step": 15485
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.097949048614653e-06,
+      "loss": 0.7757,
+      "step": 15486
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.09673637676469e-06,
+      "loss": 0.6609,
+      "step": 15487
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.095523751537506e-06,
+      "loss": 0.85,
+      "step": 15488
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.094311172952573e-06,
+      "loss": 0.8163,
+      "step": 15489
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.093098641029359e-06,
+      "loss": 0.7775,
+      "step": 15490
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.09188615578734e-06,
+      "loss": 0.7409,
+      "step": 15491
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.090673717245982e-06,
+      "loss": 0.9216,
+      "step": 15492
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.08946132542476e-06,
+      "loss": 1.0159,
+      "step": 15493
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0882489803431444e-06,
+      "loss": 0.9008,
+      "step": 15494
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.087036682020601e-06,
+      "loss": 0.8062,
+      "step": 15495
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.085824430476593e-06,
+      "loss": 0.8061,
+      "step": 15496
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.084612225730599e-06,
+      "loss": 0.7027,
+      "step": 15497
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.083400067802078e-06,
+      "loss": 0.8371,
+      "step": 15498
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.082187956710498e-06,
+      "loss": 0.7706,
+      "step": 15499
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.080975892475322e-06,
+      "loss": 0.7943,
+      "step": 15500
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.079763875116012e-06,
+      "loss": 0.7939,
+      "step": 15501
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.078551904652039e-06,
+      "loss": 0.7111,
+      "step": 15502
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.077339981102862e-06,
+      "loss": 0.7968,
+      "step": 15503
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.076128104487943e-06,
+      "loss": 0.7601,
+      "step": 15504
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.074916274826737e-06,
+      "loss": 0.7921,
+      "step": 15505
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0737044921387155e-06,
+      "loss": 0.833,
+      "step": 15506
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.072492756443333e-06,
+      "loss": 0.7973,
+      "step": 15507
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.071281067760048e-06,
+      "loss": 0.7766,
+      "step": 15508
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.07006942610832e-06,
+      "loss": 0.7804,
+      "step": 15509
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0688578315076025e-06,
+      "loss": 0.79,
+      "step": 15510
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.067646283977356e-06,
+      "loss": 0.8098,
+      "step": 15511
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.066434783537039e-06,
+      "loss": 0.668,
+      "step": 15512
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.065223330206101e-06,
+      "loss": 0.8436,
+      "step": 15513
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.064011924004e-06,
+      "loss": 0.6567,
+      "step": 15514
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0628005649501875e-06,
+      "loss": 0.7359,
+      "step": 15515
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.061589253064118e-06,
+      "loss": 0.8181,
+      "step": 15516
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.060377988365241e-06,
+      "loss": 0.9271,
+      "step": 15517
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.059166770873013e-06,
+      "loss": 0.8057,
+      "step": 15518
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.057955600606879e-06,
+      "loss": 0.813,
+      "step": 15519
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.056744477586293e-06,
+      "loss": 0.8654,
+      "step": 15520
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.055533401830703e-06,
+      "loss": 0.7304,
+      "step": 15521
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.054322373359557e-06,
+      "loss": 0.9618,
+      "step": 15522
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.053111392192299e-06,
+      "loss": 0.6871,
+      "step": 15523
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.051900458348383e-06,
+      "loss": 0.7394,
+      "step": 15524
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.050689571847251e-06,
+      "loss": 0.8767,
+      "step": 15525
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.04947873270835e-06,
+      "loss": 0.8697,
+      "step": 15526
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.048267940951118e-06,
+      "loss": 0.7634,
+      "step": 15527
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0470571965950085e-06,
+      "loss": 0.7791,
+      "step": 15528
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0458464996594615e-06,
+      "loss": 0.8441,
+      "step": 15529
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.044635850163916e-06,
+      "loss": 0.7547,
+      "step": 15530
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.043425248127815e-06,
+      "loss": 0.7996,
+      "step": 15531
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.042214693570597e-06,
+      "loss": 0.8082,
+      "step": 15532
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.041004186511709e-06,
+      "loss": 0.7805,
+      "step": 15533
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0397937269705865e-06,
+      "loss": 0.7495,
+      "step": 15534
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.038583314966666e-06,
+      "loss": 0.6612,
+      "step": 15535
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.037372950519383e-06,
+      "loss": 0.5708,
+      "step": 15536
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.036162633648183e-06,
+      "loss": 0.7488,
+      "step": 15537
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.034952364372496e-06,
+      "loss": 0.608,
+      "step": 15538
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.033742142711759e-06,
+      "loss": 0.7652,
+      "step": 15539
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0325319686854054e-06,
+      "loss": 0.8065,
+      "step": 15540
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.031321842312867e-06,
+      "loss": 0.7586,
+      "step": 15541
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.030111763613583e-06,
+      "loss": 0.7894,
+      "step": 15542
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.028901732606984e-06,
+      "loss": 0.7688,
+      "step": 15543
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.027691749312499e-06,
+      "loss": 0.8094,
+      "step": 15544
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.026481813749557e-06,
+      "loss": 0.7217,
+      "step": 15545
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0252719259375935e-06,
+      "loss": 0.7434,
+      "step": 15546
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.024062085896037e-06,
+      "loss": 0.8463,
+      "step": 15547
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.022852293644313e-06,
+      "loss": 0.9203,
+      "step": 15548
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.021642549201851e-06,
+      "loss": 0.8612,
+      "step": 15549
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0204328525880745e-06,
+      "loss": 0.6482,
+      "step": 15550
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0192232038224165e-06,
+      "loss": 0.7382,
+      "step": 15551
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.018013602924297e-06,
+      "loss": 0.8581,
+      "step": 15552
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.016804049913144e-06,
+      "loss": 0.8338,
+      "step": 15553
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.015594544808378e-06,
+      "loss": 0.7775,
+      "step": 15554
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.014385087629425e-06,
+      "loss": 0.7681,
+      "step": 15555
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.013175678395705e-06,
+      "loss": 0.7101,
+      "step": 15556
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.011966317126642e-06,
+      "loss": 0.7941,
+      "step": 15557
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0107570038416575e-06,
+      "loss": 0.7457,
+      "step": 15558
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0095477385601655e-06,
+      "loss": 0.8195,
+      "step": 15559
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0083385213015935e-06,
+      "loss": 0.6883,
+      "step": 15560
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0071293520853555e-06,
+      "loss": 0.7241,
+      "step": 15561
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.005920230930867e-06,
+      "loss": 0.9444,
+      "step": 15562
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.004711157857549e-06,
+      "loss": 0.7909,
+      "step": 15563
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.003502132884817e-06,
+      "loss": 0.7386,
+      "step": 15564
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.002293156032087e-06,
+      "loss": 0.8441,
+      "step": 15565
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.001084227318773e-06,
+      "loss": 0.6483,
+      "step": 15566
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.999875346764288e-06,
+      "loss": 0.7042,
+      "step": 15567
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.998666514388041e-06,
+      "loss": 0.6611,
+      "step": 15568
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.9974577302094536e-06,
+      "loss": 0.8493,
+      "step": 15569
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.996248994247931e-06,
+      "loss": 0.8464,
+      "step": 15570
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.995040306522889e-06,
+      "loss": 0.696,
+      "step": 15571
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.993831667053728e-06,
+      "loss": 0.7738,
+      "step": 15572
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.992623075859867e-06,
+      "loss": 0.6905,
+      "step": 15573
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.991414532960712e-06,
+      "loss": 0.7817,
+      "step": 15574
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.990206038375669e-06,
+      "loss": 0.7468,
+      "step": 15575
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.988997592124146e-06,
+      "loss": 0.9059,
+      "step": 15576
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.987789194225545e-06,
+      "loss": 0.8237,
+      "step": 15577
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.986580844699278e-06,
+      "loss": 0.8092,
+      "step": 15578
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.985372543564748e-06,
+      "loss": 0.6847,
+      "step": 15579
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.984164290841355e-06,
+      "loss": 0.6825,
+      "step": 15580
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.982956086548502e-06,
+      "loss": 0.7093,
+      "step": 15581
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.981747930705598e-06,
+      "loss": 0.6267,
+      "step": 15582
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.980539823332041e-06,
+      "loss": 0.7489,
+      "step": 15583
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.97933176444723e-06,
+      "loss": 0.6979,
+      "step": 15584
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.97812375407056e-06,
+      "loss": 0.6691,
+      "step": 15585
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.976915792221441e-06,
+      "loss": 0.8543,
+      "step": 15586
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.975707878919268e-06,
+      "loss": 0.8234,
+      "step": 15587
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.974500014183435e-06,
+      "loss": 0.7436,
+      "step": 15588
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.973292198033341e-06,
+      "loss": 0.9106,
+      "step": 15589
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.972084430488377e-06,
+      "loss": 0.761,
+      "step": 15590
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.970876711567949e-06,
+      "loss": 0.7919,
+      "step": 15591
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.969669041291442e-06,
+      "loss": 0.762,
+      "step": 15592
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.968461419678256e-06,
+      "loss": 0.7286,
+      "step": 15593
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.967253846747778e-06,
+      "loss": 0.7501,
+      "step": 15594
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.966046322519402e-06,
+      "loss": 0.7184,
+      "step": 15595
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.964838847012523e-06,
+      "loss": 0.8167,
+      "step": 15596
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.963631420246529e-06,
+      "loss": 0.7948,
+      "step": 15597
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.96242404224081e-06,
+      "loss": 0.7041,
+      "step": 15598
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.961216713014751e-06,
+      "loss": 0.8371,
+      "step": 15599
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.960009432587747e-06,
+      "loss": 0.8638,
+      "step": 15600
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.95880220097918e-06,
+      "loss": 0.6969,
+      "step": 15601
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.957595018208441e-06,
+      "loss": 0.924,
+      "step": 15602
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.95638788429491e-06,
+      "loss": 0.8489,
+      "step": 15603
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.955180799257981e-06,
+      "loss": 0.816,
+      "step": 15604
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.95397376311703e-06,
+      "loss": 0.8297,
+      "step": 15605
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.9527667758914454e-06,
+      "loss": 0.7543,
+      "step": 15606
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.951559837600605e-06,
+      "loss": 0.6832,
+      "step": 15607
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.950352948263894e-06,
+      "loss": 0.8381,
+      "step": 15608
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.949146107900695e-06,
+      "loss": 0.8231,
+      "step": 15609
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.947939316530387e-06,
+      "loss": 0.8046,
+      "step": 15610
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.946732574172349e-06,
+      "loss": 0.6925,
+      "step": 15611
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.945525880845956e-06,
+      "loss": 0.8647,
+      "step": 15612
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.944319236570593e-06,
+      "loss": 0.6168,
+      "step": 15613
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.9431126413656346e-06,
+      "loss": 0.7869,
+      "step": 15614
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.941906095250457e-06,
+      "loss": 0.8765,
+      "step": 15615
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.940699598244436e-06,
+      "loss": 0.9178,
+      "step": 15616
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.939493150366941e-06,
+      "loss": 0.7464,
+      "step": 15617
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.938286751637355e-06,
+      "loss": 0.7855,
+      "step": 15618
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.937080402075047e-06,
+      "loss": 0.8062,
+      "step": 15619
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.93587410169939e-06,
+      "loss": 0.8755,
+      "step": 15620
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.934667850529751e-06,
+      "loss": 0.7922,
+      "step": 15621
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.933461648585511e-06,
+      "loss": 0.9088,
+      "step": 15622
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.9322554958860334e-06,
+      "loss": 0.8091,
+      "step": 15623
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.931049392450687e-06,
+      "loss": 0.8505,
+      "step": 15624
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.929843338298843e-06,
+      "loss": 0.805,
+      "step": 15625
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.928637333449863e-06,
+      "loss": 0.8259,
+      "step": 15626
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.927431377923124e-06,
+      "loss": 0.6478,
+      "step": 15627
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.926225471737986e-06,
+      "loss": 0.6907,
+      "step": 15628
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.925019614913817e-06,
+      "loss": 0.6755,
+      "step": 15629
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.923813807469975e-06,
+      "loss": 0.8268,
+      "step": 15630
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.922608049425832e-06,
+      "loss": 0.727,
+      "step": 15631
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.921402340800747e-06,
+      "loss": 0.8757,
+      "step": 15632
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.920196681614083e-06,
+      "loss": 0.9325,
+      "step": 15633
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.918991071885202e-06,
+      "loss": 0.7047,
+      "step": 15634
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.917785511633459e-06,
+      "loss": 0.6887,
+      "step": 15635
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.916580000878221e-06,
+      "loss": 0.6492,
+      "step": 15636
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.9153745396388475e-06,
+      "loss": 0.7586,
+      "step": 15637
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.914169127934691e-06,
+      "loss": 0.7205,
+      "step": 15638
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.912963765785111e-06,
+      "loss": 0.7414,
+      "step": 15639
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.911758453209465e-06,
+      "loss": 0.6883,
+      "step": 15640
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.910553190227109e-06,
+      "loss": 0.8449,
+      "step": 15641
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.909347976857399e-06,
+      "loss": 0.8705,
+      "step": 15642
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.908142813119685e-06,
+      "loss": 0.6763,
+      "step": 15643
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.906937699033325e-06,
+      "loss": 0.742,
+      "step": 15644
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.905732634617668e-06,
+      "loss": 0.6886,
+      "step": 15645
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.904527619892069e-06,
+      "loss": 0.7575,
+      "step": 15646
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.903322654875878e-06,
+      "loss": 0.6463,
+      "step": 15647
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.902117739588443e-06,
+      "loss": 0.7803,
+      "step": 15648
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.900912874049117e-06,
+      "loss": 0.6683,
+      "step": 15649
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.899708058277246e-06,
+      "loss": 0.7955,
+      "step": 15650
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.898503292292178e-06,
+      "loss": 0.6997,
+      "step": 15651
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.89729857611326e-06,
+      "loss": 0.6152,
+      "step": 15652
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.896093909759841e-06,
+      "loss": 0.7174,
+      "step": 15653
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.894889293251265e-06,
+      "loss": 0.7408,
+      "step": 15654
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.893684726606875e-06,
+      "loss": 0.75,
+      "step": 15655
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8924802098460175e-06,
+      "loss": 0.708,
+      "step": 15656
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.891275742988028e-06,
+      "loss": 0.7162,
+      "step": 15657
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.89007132605226e-06,
+      "loss": 0.8177,
+      "step": 15658
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.888866959058049e-06,
+      "loss": 0.8005,
+      "step": 15659
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.887662642024736e-06,
+      "loss": 0.7824,
+      "step": 15660
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.886458374971658e-06,
+      "loss": 0.7981,
+      "step": 15661
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8852541579181596e-06,
+      "loss": 0.6648,
+      "step": 15662
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8840499908835764e-06,
+      "loss": 0.7833,
+      "step": 15663
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.882845873887247e-06,
+      "loss": 0.729,
+      "step": 15664
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.881641806948507e-06,
+      "loss": 0.6922,
+      "step": 15665
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.880437790086687e-06,
+      "loss": 0.7892,
+      "step": 15666
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.879233823321132e-06,
+      "loss": 0.7104,
+      "step": 15667
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.878029906671171e-06,
+      "loss": 0.8465,
+      "step": 15668
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.876826040156137e-06,
+      "loss": 0.7744,
+      "step": 15669
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.875622223795359e-06,
+      "loss": 0.792,
+      "step": 15670
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.874418457608178e-06,
+      "loss": 0.7786,
+      "step": 15671
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.87321474161392e-06,
+      "loss": 0.8679,
+      "step": 15672
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.872011075831914e-06,
+      "loss": 0.9564,
+      "step": 15673
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.870807460281493e-06,
+      "loss": 0.658,
+      "step": 15674
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.869603894981976e-06,
+      "loss": 0.8035,
+      "step": 15675
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.868400379952704e-06,
+      "loss": 0.8139,
+      "step": 15676
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.867196915212997e-06,
+      "loss": 0.7515,
+      "step": 15677
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.865993500782182e-06,
+      "loss": 0.6679,
+      "step": 15678
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.86479013667958e-06,
+      "loss": 0.926,
+      "step": 15679
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.863586822924524e-06,
+      "loss": 0.8305,
+      "step": 15680
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.862383559536333e-06,
+      "loss": 0.6646,
+      "step": 15681
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8611803465343305e-06,
+      "loss": 0.7578,
+      "step": 15682
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8599771839378394e-06,
+      "loss": 0.7443,
+      "step": 15683
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.858774071766175e-06,
+      "loss": 0.665,
+      "step": 15684
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.857571010038669e-06,
+      "loss": 0.7932,
+      "step": 15685
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.856367998774631e-06,
+      "loss": 0.7151,
+      "step": 15686
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.855165037993388e-06,
+      "loss": 0.9094,
+      "step": 15687
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.853962127714249e-06,
+      "loss": 0.6781,
+      "step": 15688
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8527592679565395e-06,
+      "loss": 0.8886,
+      "step": 15689
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.851556458739569e-06,
+      "loss": 0.7858,
+      "step": 15690
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.850353700082659e-06,
+      "loss": 0.8111,
+      "step": 15691
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8491509920051225e-06,
+      "loss": 0.8086,
+      "step": 15692
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8479483345262695e-06,
+      "loss": 0.8292,
+      "step": 15693
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.84674572766542e-06,
+      "loss": 0.875,
+      "step": 15694
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.845543171441882e-06,
+      "loss": 0.8653,
+      "step": 15695
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.844340665874967e-06,
+      "loss": 0.9059,
+      "step": 15696
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.843138210983986e-06,
+      "loss": 0.8362,
+      "step": 15697
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8419358067882516e-06,
+      "loss": 1.053,
+      "step": 15698
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.84073345330707e-06,
+      "loss": 0.8057,
+      "step": 15699
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.839531150559751e-06,
+      "loss": 0.6914,
+      "step": 15700
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8383288985655985e-06,
+      "loss": 0.7,
+      "step": 15701
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.837126697343924e-06,
+      "loss": 0.7133,
+      "step": 15702
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.835924546914032e-06,
+      "loss": 0.8353,
+      "step": 15703
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.834722447295228e-06,
+      "loss": 0.8158,
+      "step": 15704
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.833520398506814e-06,
+      "loss": 0.8382,
+      "step": 15705
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.832318400568092e-06,
+      "loss": 0.7323,
+      "step": 15706
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.83111645349837e-06,
+      "loss": 0.86,
+      "step": 15707
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.829914557316948e-06,
+      "loss": 0.7775,
+      "step": 15708
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.828712712043125e-06,
+      "loss": 0.6926,
+      "step": 15709
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.827510917696198e-06,
+      "loss": 0.8221,
+      "step": 15710
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.826309174295475e-06,
+      "loss": 0.8459,
+      "step": 15711
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.825107481860249e-06,
+      "loss": 0.7062,
+      "step": 15712
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.823905840409819e-06,
+      "loss": 0.8187,
+      "step": 15713
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.822704249963481e-06,
+      "loss": 0.7138,
+      "step": 15714
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.821502710540527e-06,
+      "loss": 0.7061,
+      "step": 15715
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.820301222160261e-06,
+      "loss": 0.8186,
+      "step": 15716
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.819099784841974e-06,
+      "loss": 0.7191,
+      "step": 15717
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.817898398604958e-06,
+      "loss": 0.8494,
+      "step": 15718
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.816697063468501e-06,
+      "loss": 0.8138,
+      "step": 15719
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.815495779451906e-06,
+      "loss": 0.7795,
+      "step": 15720
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.814294546574458e-06,
+      "loss": 0.776,
+      "step": 15721
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.813093364855447e-06,
+      "loss": 0.7965,
+      "step": 15722
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.811892234314163e-06,
+      "loss": 0.8682,
+      "step": 15723
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.810691154969891e-06,
+      "loss": 0.803,
+      "step": 15724
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.809490126841927e-06,
+      "loss": 0.6662,
+      "step": 15725
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.8082891499495545e-06,
+      "loss": 0.7812,
+      "step": 15726
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.807088224312057e-06,
+      "loss": 0.776,
+      "step": 15727
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.805887349948721e-06,
+      "loss": 0.7342,
+      "step": 15728
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.80468652687883e-06,
+      "loss": 0.6856,
+      "step": 15729
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.803485755121672e-06,
+      "loss": 0.8304,
+      "step": 15730
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.802285034696529e-06,
+      "loss": 0.7819,
+      "step": 15731
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.801084365622681e-06,
+      "loss": 0.7645,
+      "step": 15732
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.799883747919407e-06,
+      "loss": 0.8261,
+      "step": 15733
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.798683181605992e-06,
+      "loss": 0.7655,
+      "step": 15734
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.797482666701711e-06,
+      "loss": 0.7672,
+      "step": 15735
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.796282203225848e-06,
+      "loss": 0.7424,
+      "step": 15736
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7950817911976755e-06,
+      "loss": 0.8214,
+      "step": 15737
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7938814306364776e-06,
+      "loss": 0.6537,
+      "step": 15738
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.792681121561524e-06,
+      "loss": 0.8198,
+      "step": 15739
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.791480863992095e-06,
+      "loss": 0.785,
+      "step": 15740
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.790280657947459e-06,
+      "loss": 0.8762,
+      "step": 15741
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.789080503446895e-06,
+      "loss": 0.6649,
+      "step": 15742
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.787880400509674e-06,
+      "loss": 0.7917,
+      "step": 15743
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.78668034915507e-06,
+      "loss": 0.7202,
+      "step": 15744
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7854803494023545e-06,
+      "loss": 0.8429,
+      "step": 15745
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7842804012707904e-06,
+      "loss": 0.7031,
+      "step": 15746
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.78308050477966e-06,
+      "loss": 0.7733,
+      "step": 15747
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.781880659948224e-06,
+      "loss": 0.81,
+      "step": 15748
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.780680866795753e-06,
+      "loss": 0.7887,
+      "step": 15749
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.779481125341513e-06,
+      "loss": 0.85,
+      "step": 15750
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.778281435604765e-06,
+      "loss": 0.8001,
+      "step": 15751
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.777081797604786e-06,
+      "loss": 0.6453,
+      "step": 15752
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.775882211360835e-06,
+      "loss": 0.7041,
+      "step": 15753
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.774682676892175e-06,
+      "loss": 0.6135,
+      "step": 15754
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.773483194218065e-06,
+      "loss": 0.8682,
+      "step": 15755
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7722837633577766e-06,
+      "loss": 0.7629,
+      "step": 15756
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.771084384330566e-06,
+      "loss": 0.7544,
+      "step": 15757
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.769885057155694e-06,
+      "loss": 0.8431,
+      "step": 15758
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.768685781852418e-06,
+      "loss": 0.7848,
+      "step": 15759
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.767486558440002e-06,
+      "loss": 0.6648,
+      "step": 15760
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7662873869377e-06,
+      "loss": 0.7381,
+      "step": 15761
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.765088267364772e-06,
+      "loss": 0.8458,
+      "step": 15762
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.763889199740473e-06,
+      "loss": 0.6897,
+      "step": 15763
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.762690184084054e-06,
+      "loss": 0.8813,
+      "step": 15764
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.761491220414779e-06,
+      "loss": 0.8222,
+      "step": 15765
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.760292308751896e-06,
+      "loss": 0.737,
+      "step": 15766
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.759093449114659e-06,
+      "loss": 0.6716,
+      "step": 15767
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.757894641522316e-06,
+      "loss": 0.9566,
+      "step": 15768
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.756695885994126e-06,
+      "loss": 0.7162,
+      "step": 15769
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.755497182549337e-06,
+      "loss": 0.8255,
+      "step": 15770
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7542985312071975e-06,
+      "loss": 0.7023,
+      "step": 15771
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7530999319869565e-06,
+      "loss": 0.911,
+      "step": 15772
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.75190138490786e-06,
+      "loss": 0.7873,
+      "step": 15773
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.750702889989156e-06,
+      "loss": 0.7685,
+      "step": 15774
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.749504447250095e-06,
+      "loss": 0.7755,
+      "step": 15775
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.748306056709919e-06,
+      "loss": 0.7822,
+      "step": 15776
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.747107718387872e-06,
+      "loss": 0.7568,
+      "step": 15777
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7459094323032e-06,
+      "loss": 0.7611,
+      "step": 15778
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.744711198475143e-06,
+      "loss": 0.6556,
+      "step": 15779
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.743513016922948e-06,
+      "loss": 0.7983,
+      "step": 15780
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.742314887665853e-06,
+      "loss": 0.7507,
+      "step": 15781
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.741116810723096e-06,
+      "loss": 0.7649,
+      "step": 15782
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7399187861139215e-06,
+      "loss": 0.7323,
+      "step": 15783
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.738720813857566e-06,
+      "loss": 0.7663,
+      "step": 15784
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.737522893973267e-06,
+      "loss": 0.8994,
+      "step": 15785
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.736325026480262e-06,
+      "loss": 0.8257,
+      "step": 15786
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.735127211397789e-06,
+      "loss": 0.8672,
+      "step": 15787
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7339294487450825e-06,
+      "loss": 0.7041,
+      "step": 15788
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.732731738541375e-06,
+      "loss": 0.7174,
+      "step": 15789
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7315340808059025e-06,
+      "loss": 0.6562,
+      "step": 15790
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.730336475557892e-06,
+      "loss": 0.8198,
+      "step": 15791
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.729138922816587e-06,
+      "loss": 0.7645,
+      "step": 15792
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.72794142260121e-06,
+      "loss": 0.8152,
+      "step": 15793
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.726743974930995e-06,
+      "loss": 0.7529,
+      "step": 15794
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.725546579825165e-06,
+      "loss": 0.6745,
+      "step": 15795
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.724349237302958e-06,
+      "loss": 0.7512,
+      "step": 15796
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.723151947383599e-06,
+      "loss": 0.8459,
+      "step": 15797
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.721954710086312e-06,
+      "loss": 0.8083,
+      "step": 15798
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.720757525430326e-06,
+      "loss": 0.9064,
+      "step": 15799
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.71956039343486e-06,
+      "loss": 0.7387,
+      "step": 15800
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7183633141191475e-06,
+      "loss": 0.7254,
+      "step": 15801
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.717166287502408e-06,
+      "loss": 0.7253,
+      "step": 15802
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.715969313603865e-06,
+      "loss": 0.6426,
+      "step": 15803
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.714772392442735e-06,
+      "loss": 0.8137,
+      "step": 15804
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.71357552403825e-06,
+      "loss": 0.7923,
+      "step": 15805
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7123787084096215e-06,
+      "loss": 0.7263,
+      "step": 15806
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.711181945576071e-06,
+      "loss": 0.9189,
+      "step": 15807
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.709985235556819e-06,
+      "loss": 0.7837,
+      "step": 15808
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.708788578371077e-06,
+      "loss": 0.7736,
+      "step": 15809
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.70759197403807e-06,
+      "loss": 0.8241,
+      "step": 15810
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.70639542257701e-06,
+      "loss": 0.8674,
+      "step": 15811
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.705198924007112e-06,
+      "loss": 0.7045,
+      "step": 15812
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.704002478347589e-06,
+      "loss": 0.8663,
+      "step": 15813
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.702806085617657e-06,
+      "loss": 0.8767,
+      "step": 15814
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.70160974583653e-06,
+      "loss": 0.8423,
+      "step": 15815
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.700413459023416e-06,
+      "loss": 0.7493,
+      "step": 15816
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.699217225197527e-06,
+      "loss": 0.7768,
+      "step": 15817
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.698021044378071e-06,
+      "loss": 0.7664,
+      "step": 15818
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.696824916584262e-06,
+      "loss": 0.7731,
+      "step": 15819
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6956288418353064e-06,
+      "loss": 0.7999,
+      "step": 15820
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.694432820150412e-06,
+      "loss": 0.7889,
+      "step": 15821
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.69323685154878e-06,
+      "loss": 0.875,
+      "step": 15822
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.692040936049624e-06,
+      "loss": 0.75,
+      "step": 15823
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.690845073672143e-06,
+      "loss": 0.8319,
+      "step": 15824
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.689649264435546e-06,
+      "loss": 0.7965,
+      "step": 15825
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.688453508359032e-06,
+      "loss": 0.7925,
+      "step": 15826
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.687257805461806e-06,
+      "loss": 0.6549,
+      "step": 15827
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6860621557630685e-06,
+      "loss": 0.8231,
+      "step": 15828
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.684866559282022e-06,
+      "loss": 0.7591,
+      "step": 15829
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.683671016037861e-06,
+      "loss": 0.7013,
+      "step": 15830
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.682475526049787e-06,
+      "loss": 0.7042,
+      "step": 15831
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.681280089337002e-06,
+      "loss": 0.8164,
+      "step": 15832
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6800847059187e-06,
+      "loss": 0.86,
+      "step": 15833
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.678889375814077e-06,
+      "loss": 0.8138,
+      "step": 15834
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6776940990423266e-06,
+      "loss": 0.834,
+      "step": 15835
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.676498875622649e-06,
+      "loss": 0.7477,
+      "step": 15836
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.675303705574235e-06,
+      "loss": 0.8983,
+      "step": 15837
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6741085889162775e-06,
+      "loss": 0.8819,
+      "step": 15838
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6729135256679676e-06,
+      "loss": 0.6069,
+      "step": 15839
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6717185158484944e-06,
+      "loss": 0.7899,
+      "step": 15840
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.670523559477055e-06,
+      "loss": 0.6185,
+      "step": 15841
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.669328656572835e-06,
+      "loss": 0.9533,
+      "step": 15842
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.668133807155024e-06,
+      "loss": 0.7778,
+      "step": 15843
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6669390112428035e-06,
+      "loss": 0.7464,
+      "step": 15844
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.665744268855372e-06,
+      "loss": 0.8457,
+      "step": 15845
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.664549580011908e-06,
+      "loss": 0.6708,
+      "step": 15846
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.663354944731598e-06,
+      "loss": 0.8008,
+      "step": 15847
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.662160363033627e-06,
+      "loss": 0.651,
+      "step": 15848
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.660965834937174e-06,
+      "loss": 0.8205,
+      "step": 15849
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.659771360461429e-06,
+      "loss": 0.6918,
+      "step": 15850
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6585769396255715e-06,
+      "loss": 0.7281,
+      "step": 15851
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.657382572448781e-06,
+      "loss": 0.814,
+      "step": 15852
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.656188258950233e-06,
+      "loss": 0.7996,
+      "step": 15853
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.654993999149117e-06,
+      "loss": 0.8549,
+      "step": 15854
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.653799793064606e-06,
+      "loss": 0.6837,
+      "step": 15855
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.652605640715876e-06,
+      "loss": 0.8374,
+      "step": 15856
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.651411542122105e-06,
+      "loss": 0.7229,
+      "step": 15857
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.650217497302465e-06,
+      "loss": 0.7909,
+      "step": 15858
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6490235062761375e-06,
+      "loss": 0.6991,
+      "step": 15859
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.647829569062295e-06,
+      "loss": 0.8059,
+      "step": 15860
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.646635685680109e-06,
+      "loss": 0.6471,
+      "step": 15861
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6454418561487485e-06,
+      "loss": 0.6821,
+      "step": 15862
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.64424808048739e-06,
+      "loss": 0.6965,
+      "step": 15863
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.643054358715203e-06,
+      "loss": 0.7151,
+      "step": 15864
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.641860690851357e-06,
+      "loss": 0.7878,
+      "step": 15865
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6406670769150186e-06,
+      "loss": 0.7635,
+      "step": 15866
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.639473516925359e-06,
+      "loss": 0.8402,
+      "step": 15867
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.638280010901544e-06,
+      "loss": 0.7758,
+      "step": 15868
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.637086558862738e-06,
+      "loss": 0.772,
+      "step": 15869
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6358931608281086e-06,
+      "loss": 0.7326,
+      "step": 15870
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.634699816816819e-06,
+      "loss": 0.7455,
+      "step": 15871
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.633506526848034e-06,
+      "loss": 0.7563,
+      "step": 15872
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.632313290940917e-06,
+      "loss": 0.7529,
+      "step": 15873
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.631120109114628e-06,
+      "loss": 0.7105,
+      "step": 15874
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.629926981388325e-06,
+      "loss": 0.7899,
+      "step": 15875
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.628733907781175e-06,
+      "loss": 0.8345,
+      "step": 15876
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.627540888312335e-06,
+      "loss": 0.9483,
+      "step": 15877
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.626347923000962e-06,
+      "loss": 0.8654,
+      "step": 15878
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.625155011866213e-06,
+      "loss": 0.7558,
+      "step": 15879
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.623962154927243e-06,
+      "loss": 0.7391,
+      "step": 15880
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6227693522032135e-06,
+      "loss": 0.8512,
+      "step": 15881
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6215766037132765e-06,
+      "loss": 0.7581,
+      "step": 15882
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.620383909476587e-06,
+      "loss": 0.7036,
+      "step": 15883
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.61919126951229e-06,
+      "loss": 0.8761,
+      "step": 15884
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6179986838395515e-06,
+      "loss": 0.7282,
+      "step": 15885
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.616806152477515e-06,
+      "loss": 0.8126,
+      "step": 15886
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.615613675445334e-06,
+      "loss": 0.7204,
+      "step": 15887
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.614421252762155e-06,
+      "loss": 0.6654,
+      "step": 15888
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.613228884447125e-06,
+      "loss": 0.6883,
+      "step": 15889
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.612036570519398e-06,
+      "loss": 0.8363,
+      "step": 15890
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.610844310998119e-06,
+      "loss": 0.745,
+      "step": 15891
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.609652105902433e-06,
+      "loss": 0.8458,
+      "step": 15892
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.608459955251482e-06,
+      "loss": 0.7671,
+      "step": 15893
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.60726785906442e-06,
+      "loss": 0.8022,
+      "step": 15894
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6060758173603846e-06,
+      "loss": 0.7616,
+      "step": 15895
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.604883830158517e-06,
+      "loss": 0.7138,
+      "step": 15896
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.603691897477962e-06,
+      "loss": 0.7633,
+      "step": 15897
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.602500019337854e-06,
+      "loss": 0.6924,
+      "step": 15898
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.601308195757343e-06,
+      "loss": 0.6728,
+      "step": 15899
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.600116426755565e-06,
+      "loss": 0.854,
+      "step": 15900
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.598924712351655e-06,
+      "loss": 0.8282,
+      "step": 15901
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5977330525647495e-06,
+      "loss": 0.7388,
+      "step": 15902
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.596541447413991e-06,
+      "loss": 0.8808,
+      "step": 15903
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.595349896918512e-06,
+      "loss": 0.8414,
+      "step": 15904
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.594158401097449e-06,
+      "loss": 0.8422,
+      "step": 15905
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.592966959969933e-06,
+      "loss": 0.8721,
+      "step": 15906
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.591775573555097e-06,
+      "loss": 0.8418,
+      "step": 15907
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.590584241872075e-06,
+      "loss": 0.7506,
+      "step": 15908
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.589392964939998e-06,
+      "loss": 0.8484,
+      "step": 15909
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.588201742777998e-06,
+      "loss": 0.6759,
+      "step": 15910
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.587010575405199e-06,
+      "loss": 0.7165,
+      "step": 15911
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.585819462840737e-06,
+      "loss": 0.7549,
+      "step": 15912
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.584628405103737e-06,
+      "loss": 0.6548,
+      "step": 15913
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5834374022133205e-06,
+      "loss": 0.9061,
+      "step": 15914
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.582246454188621e-06,
+      "loss": 0.719,
+      "step": 15915
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.58105556104876e-06,
+      "loss": 0.7063,
+      "step": 15916
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.579864722812863e-06,
+      "loss": 0.7918,
+      "step": 15917
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.578673939500054e-06,
+      "loss": 0.7891,
+      "step": 15918
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5774832111294515e-06,
+      "loss": 0.8456,
+      "step": 15919
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.576292537720182e-06,
+      "loss": 0.8097,
+      "step": 15920
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.575101919291365e-06,
+      "loss": 0.9088,
+      "step": 15921
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.573911355862118e-06,
+      "loss": 0.805,
+      "step": 15922
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.572720847451564e-06,
+      "loss": 0.864,
+      "step": 15923
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.571530394078813e-06,
+      "loss": 0.8707,
+      "step": 15924
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.570339995762991e-06,
+      "loss": 0.8212,
+      "step": 15925
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.569149652523213e-06,
+      "loss": 0.8202,
+      "step": 15926
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.567959364378591e-06,
+      "loss": 0.7162,
+      "step": 15927
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.566769131348242e-06,
+      "loss": 0.7766,
+      "step": 15928
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.565578953451273e-06,
+      "loss": 0.8856,
+      "step": 15929
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.56438883070681e-06,
+      "loss": 0.7446,
+      "step": 15930
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.563198763133953e-06,
+      "loss": 0.8571,
+      "step": 15931
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.56200875075182e-06,
+      "loss": 0.8357,
+      "step": 15932
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5608187935795135e-06,
+      "loss": 0.8036,
+      "step": 15933
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.559628891636152e-06,
+      "loss": 0.744,
+      "step": 15934
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.55843904494084e-06,
+      "loss": 0.7859,
+      "step": 15935
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.557249253512683e-06,
+      "loss": 0.6335,
+      "step": 15936
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.55605951737079e-06,
+      "loss": 0.8477,
+      "step": 15937
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.554869836534261e-06,
+      "loss": 0.8012,
+      "step": 15938
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.553680211022211e-06,
+      "loss": 0.7014,
+      "step": 15939
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.552490640853737e-06,
+      "loss": 0.7203,
+      "step": 15940
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.551301126047943e-06,
+      "loss": 0.8711,
+      "step": 15941
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.550111666623929e-06,
+      "loss": 0.8201,
+      "step": 15942
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.548922262600801e-06,
+      "loss": 0.7689,
+      "step": 15943
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.547732913997658e-06,
+      "loss": 0.8023,
+      "step": 15944
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.546543620833598e-06,
+      "loss": 0.693,
+      "step": 15945
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.54535438312772e-06,
+      "loss": 0.7588,
+      "step": 15946
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.544165200899118e-06,
+      "loss": 0.806,
+      "step": 15947
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.542976074166896e-06,
+      "loss": 0.6363,
+      "step": 15948
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.541787002950146e-06,
+      "loss": 0.7134,
+      "step": 15949
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.540597987267965e-06,
+      "loss": 0.8077,
+      "step": 15950
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.539409027139443e-06,
+      "loss": 0.7076,
+      "step": 15951
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.538220122583674e-06,
+      "loss": 0.7927,
+      "step": 15952
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.537031273619756e-06,
+      "loss": 0.8289,
+      "step": 15953
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.535842480266776e-06,
+      "loss": 0.7995,
+      "step": 15954
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5346537425438235e-06,
+      "loss": 0.7376,
+      "step": 15955
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.533465060469989e-06,
+      "loss": 0.7646,
+      "step": 15956
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.532276434064364e-06,
+      "loss": 0.8463,
+      "step": 15957
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5310878633460305e-06,
+      "loss": 0.85,
+      "step": 15958
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.529899348334083e-06,
+      "loss": 0.7465,
+      "step": 15959
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5287108890476006e-06,
+      "loss": 0.7434,
+      "step": 15960
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.527522485505673e-06,
+      "loss": 0.6744,
+      "step": 15961
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.526334137727384e-06,
+      "loss": 0.8652,
+      "step": 15962
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.525145845731816e-06,
+      "loss": 0.8324,
+      "step": 15963
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.523957609538049e-06,
+      "loss": 0.7966,
+      "step": 15964
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.522769429165168e-06,
+      "loss": 0.7601,
+      "step": 15965
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.521581304632254e-06,
+      "loss": 0.635,
+      "step": 15966
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.520393235958387e-06,
+      "loss": 0.7299,
+      "step": 15967
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5192052231626415e-06,
+      "loss": 0.7695,
+      "step": 15968
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.518017266264096e-06,
+      "loss": 0.7842,
+      "step": 15969
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.516829365281834e-06,
+      "loss": 0.8089,
+      "step": 15970
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.515641520234928e-06,
+      "loss": 0.6251,
+      "step": 15971
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.514453731142454e-06,
+      "loss": 0.8541,
+      "step": 15972
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.513265998023484e-06,
+      "loss": 0.84,
+      "step": 15973
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.512078320897088e-06,
+      "loss": 0.7913,
+      "step": 15974
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.510890699782349e-06,
+      "loss": 0.6581,
+      "step": 15975
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.509703134698333e-06,
+      "loss": 0.6639,
+      "step": 15976
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.508515625664111e-06,
+      "loss": 0.7359,
+      "step": 15977
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.50732817269875e-06,
+      "loss": 0.7436,
+      "step": 15978
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.506140775821326e-06,
+      "loss": 0.7756,
+      "step": 15979
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.504953435050902e-06,
+      "loss": 0.8085,
+      "step": 15980
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.503766150406545e-06,
+      "loss": 0.6217,
+      "step": 15981
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.502578921907321e-06,
+      "loss": 0.718,
+      "step": 15982
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.5013917495723e-06,
+      "loss": 0.7803,
+      "step": 15983
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.500204633420544e-06,
+      "loss": 0.7444,
+      "step": 15984
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4990175734711156e-06,
+      "loss": 0.8796,
+      "step": 15985
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4978305697430775e-06,
+      "loss": 0.8716,
+      "step": 15986
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.496643622255489e-06,
+      "loss": 0.8182,
+      "step": 15987
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.495456731027417e-06,
+      "loss": 0.7633,
+      "step": 15988
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.494269896077919e-06,
+      "loss": 0.5138,
+      "step": 15989
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4930831174260535e-06,
+      "loss": 0.7783,
+      "step": 15990
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.491896395090875e-06,
+      "loss": 0.6575,
+      "step": 15991
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.490709729091449e-06,
+      "loss": 0.808,
+      "step": 15992
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.489523119446826e-06,
+      "loss": 0.8368,
+      "step": 15993
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4883365661760635e-06,
+      "loss": 0.7635,
+      "step": 15994
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.487150069298216e-06,
+      "loss": 0.7673,
+      "step": 15995
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4859636288323336e-06,
+      "loss": 0.7417,
+      "step": 15996
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.484777244797472e-06,
+      "loss": 0.9065,
+      "step": 15997
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.483590917212686e-06,
+      "loss": 0.8233,
+      "step": 15998
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.482404646097023e-06,
+      "loss": 0.727,
+      "step": 15999
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.48121843146953e-06,
+      "loss": 0.7557,
+      "step": 16000
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.480032273349264e-06,
+      "loss": 0.8861,
+      "step": 16001
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.478846171755268e-06,
+      "loss": 0.7186,
+      "step": 16002
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.477660126706588e-06,
+      "loss": 0.9196,
+      "step": 16003
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.476474138222275e-06,
+      "loss": 0.6628,
+      "step": 16004
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4752882063213705e-06,
+      "loss": 0.8646,
+      "step": 16005
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.474102331022922e-06,
+      "loss": 0.7894,
+      "step": 16006
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.472916512345972e-06,
+      "loss": 0.7283,
+      "step": 16007
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.471730750309564e-06,
+      "loss": 0.7843,
+      "step": 16008
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.470545044932734e-06,
+      "loss": 0.6288,
+      "step": 16009
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4693593962345315e-06,
+      "loss": 0.7738,
+      "step": 16010
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.468173804233993e-06,
+      "loss": 0.8051,
+      "step": 16011
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.466988268950159e-06,
+      "loss": 0.7121,
+      "step": 16012
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.465802790402065e-06,
+      "loss": 0.8907,
+      "step": 16013
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.464617368608747e-06,
+      "loss": 0.788,
+      "step": 16014
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.463432003589247e-06,
+      "loss": 0.7275,
+      "step": 16015
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.462246695362597e-06,
+      "loss": 0.7545,
+      "step": 16016
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.461061443947832e-06,
+      "loss": 0.791,
+      "step": 16017
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.459876249363983e-06,
+      "loss": 0.828,
+      "step": 16018
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4586911116300885e-06,
+      "loss": 0.7639,
+      "step": 16019
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.457506030765177e-06,
+      "loss": 0.7119,
+      "step": 16020
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.45632100678828e-06,
+      "loss": 0.7367,
+      "step": 16021
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.455136039718428e-06,
+      "loss": 0.6804,
+      "step": 16022
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.453951129574644e-06,
+      "loss": 0.6833,
+      "step": 16023
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.452766276375966e-06,
+      "loss": 0.8067,
+      "step": 16024
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4515814801414155e-06,
+      "loss": 0.7423,
+      "step": 16025
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.450396740890021e-06,
+      "loss": 0.7915,
+      "step": 16026
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.449212058640804e-06,
+      "loss": 0.7218,
+      "step": 16027
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.448027433412794e-06,
+      "loss": 0.7495,
+      "step": 16028
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.446842865225014e-06,
+      "loss": 0.6744,
+      "step": 16029
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.445658354096484e-06,
+      "loss": 0.821,
+      "step": 16030
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.444473900046229e-06,
+      "loss": 0.8576,
+      "step": 16031
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.443289503093262e-06,
+      "loss": 0.5938,
+      "step": 16032
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.442105163256614e-06,
+      "loss": 0.8259,
+      "step": 16033
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.440920880555297e-06,
+      "loss": 0.7942,
+      "step": 16034
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4397366550083314e-06,
+      "loss": 0.8746,
+      "step": 16035
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.43855248663473e-06,
+      "loss": 0.9045,
+      "step": 16036
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.437368375453517e-06,
+      "loss": 0.8254,
+      "step": 16037
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.436184321483705e-06,
+      "loss": 0.7568,
+      "step": 16038
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.435000324744306e-06,
+      "loss": 0.7642,
+      "step": 16039
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.433816385254332e-06,
+      "loss": 0.8238,
+      "step": 16040
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4326325030328e-06,
+      "loss": 0.8239,
+      "step": 16041
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.43144867809872e-06,
+      "loss": 0.8141,
+      "step": 16042
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.430264910471104e-06,
+      "loss": 0.6842,
+      "step": 16043
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.429081200168958e-06,
+      "loss": 0.865,
+      "step": 16044
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4278975472112945e-06,
+      "loss": 0.7783,
+      "step": 16045
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.42671395161712e-06,
+      "loss": 0.6857,
+      "step": 16046
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.425530413405443e-06,
+      "loss": 0.7832,
+      "step": 16047
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.424346932595267e-06,
+      "loss": 0.7875,
+      "step": 16048
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.423163509205596e-06,
+      "loss": 0.7894,
+      "step": 16049
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.421980143255442e-06,
+      "loss": 0.6865,
+      "step": 16050
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.420796834763802e-06,
+      "loss": 0.8172,
+      "step": 16051
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.419613583749679e-06,
+      "loss": 0.9731,
+      "step": 16052
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.418430390232076e-06,
+      "loss": 0.8271,
+      "step": 16053
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4172472542299905e-06,
+      "loss": 0.7407,
+      "step": 16054
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.416064175762428e-06,
+      "loss": 0.7862,
+      "step": 16055
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.414881154848383e-06,
+      "loss": 0.8071,
+      "step": 16056
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.413698191506855e-06,
+      "loss": 0.7863,
+      "step": 16057
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.412515285756836e-06,
+      "loss": 0.8188,
+      "step": 16058
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.41133243761733e-06,
+      "loss": 0.6973,
+      "step": 16059
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4101496471073284e-06,
+      "loss": 0.9059,
+      "step": 16060
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.408966914245824e-06,
+      "loss": 0.7539,
+      "step": 16061
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.407784239051813e-06,
+      "loss": 0.749,
+      "step": 16062
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.406601621544282e-06,
+      "loss": 0.7323,
+      "step": 16063
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.405419061742229e-06,
+      "loss": 0.6359,
+      "step": 16064
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.40423655966464e-06,
+      "loss": 0.8728,
+      "step": 16065
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.403054115330509e-06,
+      "loss": 0.8633,
+      "step": 16066
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.401871728758816e-06,
+      "loss": 0.7871,
+      "step": 16067
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.400689399968559e-06,
+      "loss": 0.8315,
+      "step": 16068
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.39950712897872e-06,
+      "loss": 0.8648,
+      "step": 16069
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.398324915808285e-06,
+      "loss": 0.7487,
+      "step": 16070
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.397142760476239e-06,
+      "loss": 0.7688,
+      "step": 16071
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.395960663001561e-06,
+      "loss": 0.9224,
+      "step": 16072
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.394778623403241e-06,
+      "loss": 0.8338,
+      "step": 16073
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.393596641700262e-06,
+      "loss": 0.8301,
+      "step": 16074
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.392414717911599e-06,
+      "loss": 0.849,
+      "step": 16075
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.391232852056233e-06,
+      "loss": 0.7742,
+      "step": 16076
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.390051044153149e-06,
+      "loss": 0.7175,
+      "step": 16077
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.388869294221322e-06,
+      "loss": 0.7836,
+      "step": 16078
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.387687602279729e-06,
+      "loss": 0.7951,
+      "step": 16079
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3865059683473456e-06,
+      "loss": 0.8528,
+      "step": 16080
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.385324392443144e-06,
+      "loss": 0.8058,
+      "step": 16081
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.384142874586108e-06,
+      "loss": 0.6984,
+      "step": 16082
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.382961414795208e-06,
+      "loss": 0.7084,
+      "step": 16083
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3817800130894135e-06,
+      "loss": 0.8136,
+      "step": 16084
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.380598669487697e-06,
+      "loss": 0.7598,
+      "step": 16085
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.379417384009031e-06,
+      "loss": 0.6982,
+      "step": 16086
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.378236156672384e-06,
+      "loss": 0.8405,
+      "step": 16087
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3770549874967295e-06,
+      "loss": 0.8576,
+      "step": 16088
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.37587387650103e-06,
+      "loss": 0.8061,
+      "step": 16089
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.374692823704254e-06,
+      "loss": 0.6119,
+      "step": 16090
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.37351182912537e-06,
+      "loss": 0.7058,
+      "step": 16091
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.372330892783338e-06,
+      "loss": 0.9045,
+      "step": 16092
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.37115001469713e-06,
+      "loss": 0.7569,
+      "step": 16093
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.369969194885703e-06,
+      "loss": 0.8382,
+      "step": 16094
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3687884333680246e-06,
+      "loss": 0.8879,
+      "step": 16095
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.367607730163054e-06,
+      "loss": 0.9538,
+      "step": 16096
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.366427085289752e-06,
+      "loss": 0.9053,
+      "step": 16097
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3652464987670726e-06,
+      "loss": 0.7442,
+      "step": 16098
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.364065970613984e-06,
+      "loss": 0.7382,
+      "step": 16099
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.36288550084944e-06,
+      "loss": 0.7245,
+      "step": 16100
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.361705089492398e-06,
+      "loss": 0.7253,
+      "step": 16101
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.360524736561813e-06,
+      "loss": 0.6629,
+      "step": 16102
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.359344442076636e-06,
+      "loss": 0.7512,
+      "step": 16103
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.358164206055829e-06,
+      "loss": 0.8784,
+      "step": 16104
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.356984028518341e-06,
+      "loss": 0.7598,
+      "step": 16105
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.355803909483125e-06,
+      "loss": 0.8352,
+      "step": 16106
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.354623848969128e-06,
+      "loss": 0.7516,
+      "step": 16107
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.353443846995309e-06,
+      "loss": 0.9452,
+      "step": 16108
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.352263903580611e-06,
+      "loss": 0.6513,
+      "step": 16109
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.351084018743984e-06,
+      "loss": 0.8452,
+      "step": 16110
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.349904192504375e-06,
+      "loss": 0.8263,
+      "step": 16111
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3487244248807275e-06,
+      "loss": 0.8472,
+      "step": 16112
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.347544715891995e-06,
+      "loss": 0.8492,
+      "step": 16113
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.346365065557116e-06,
+      "loss": 0.7722,
+      "step": 16114
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.345185473895037e-06,
+      "loss": 0.6807,
+      "step": 16115
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.344005940924695e-06,
+      "loss": 0.7016,
+      "step": 16116
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.342826466665041e-06,
+      "loss": 0.7944,
+      "step": 16117
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.341647051135011e-06,
+      "loss": 0.8705,
+      "step": 16118
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.340467694353545e-06,
+      "loss": 0.6991,
+      "step": 16119
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3392883963395826e-06,
+      "loss": 0.8772,
+      "step": 16120
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.338109157112055e-06,
+      "loss": 0.7135,
+      "step": 16121
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.336929976689914e-06,
+      "loss": 0.7643,
+      "step": 16122
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.335750855092084e-06,
+      "loss": 0.7708,
+      "step": 16123
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.334571792337505e-06,
+      "loss": 0.8549,
+      "step": 16124
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.333392788445106e-06,
+      "loss": 0.7244,
+      "step": 16125
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.332213843433829e-06,
+      "loss": 0.7654,
+      "step": 16126
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.331034957322601e-06,
+      "loss": 0.7683,
+      "step": 16127
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.329856130130354e-06,
+      "loss": 0.7588,
+      "step": 16128
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.328677361876019e-06,
+      "loss": 0.8356,
+      "step": 16129
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.327498652578522e-06,
+      "loss": 0.816,
+      "step": 16130
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.326320002256796e-06,
+      "loss": 0.7107,
+      "step": 16131
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.325141410929769e-06,
+      "loss": 0.5972,
+      "step": 16132
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.323962878616366e-06,
+      "loss": 0.6861,
+      "step": 16133
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3227844053355105e-06,
+      "loss": 0.6931,
+      "step": 16134
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.321605991106132e-06,
+      "loss": 0.7436,
+      "step": 16135
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3204276359471515e-06,
+      "loss": 0.7908,
+      "step": 16136
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.319249339877491e-06,
+      "loss": 0.7924,
+      "step": 16137
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3180711029160756e-06,
+      "loss": 0.6232,
+      "step": 16138
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3168929250818235e-06,
+      "loss": 0.6854,
+      "step": 16139
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.315714806393656e-06,
+      "loss": 0.874,
+      "step": 16140
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3145367468704944e-06,
+      "loss": 0.6036,
+      "step": 16141
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.313358746531253e-06,
+      "loss": 0.9407,
+      "step": 16142
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.312180805394845e-06,
+      "loss": 0.7171,
+      "step": 16143
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.311002923480198e-06,
+      "loss": 0.825,
+      "step": 16144
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.309825100806221e-06,
+      "loss": 0.7669,
+      "step": 16145
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.308647337391831e-06,
+      "loss": 0.9142,
+      "step": 16146
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.307469633255937e-06,
+      "loss": 0.7341,
+      "step": 16147
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.30629198841745e-06,
+      "loss": 0.7372,
+      "step": 16148
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.30511440289529e-06,
+      "loss": 0.7322,
+      "step": 16149
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.303936876708361e-06,
+      "loss": 0.8099,
+      "step": 16150
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.302759409875576e-06,
+      "loss": 0.8139,
+      "step": 16151
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.301582002415837e-06,
+      "loss": 0.8109,
+      "step": 16152
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.30040465434806e-06,
+      "loss": 0.7122,
+      "step": 16153
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.299227365691151e-06,
+      "loss": 0.825,
+      "step": 16154
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.298050136464011e-06,
+      "loss": 0.7696,
+      "step": 16155
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.296872966685543e-06,
+      "loss": 0.6973,
+      "step": 16156
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.2956958563746595e-06,
+      "loss": 0.7775,
+      "step": 16157
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.29451880555026e-06,
+      "loss": 0.767,
+      "step": 16158
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.293341814231244e-06,
+      "loss": 0.7728,
+      "step": 16159
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.292164882436513e-06,
+      "loss": 0.7995,
+      "step": 16160
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.290988010184964e-06,
+      "loss": 0.818,
+      "step": 16161
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.289811197495506e-06,
+      "loss": 0.7088,
+      "step": 16162
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.288634444387028e-06,
+      "loss": 0.7443,
+      "step": 16163
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.287457750878431e-06,
+      "loss": 0.7376,
+      "step": 16164
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.2862811169886085e-06,
+      "loss": 0.726,
+      "step": 16165
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.2851045427364595e-06,
+      "loss": 0.8318,
+      "step": 16166
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.283928028140877e-06,
+      "loss": 0.8346,
+      "step": 16167
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.282751573220755e-06,
+      "loss": 0.7572,
+      "step": 16168
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.281575177994985e-06,
+      "loss": 0.8076,
+      "step": 16169
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.280398842482454e-06,
+      "loss": 0.8326,
+      "step": 16170
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.279222566702059e-06,
+      "loss": 0.7178,
+      "step": 16171
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.278046350672689e-06,
+      "loss": 0.6923,
+      "step": 16172
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.276870194413229e-06,
+      "loss": 0.7385,
+      "step": 16173
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.275694097942567e-06,
+      "loss": 0.8054,
+      "step": 16174
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.274518061279593e-06,
+      "loss": 0.7784,
+      "step": 16175
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.273342084443189e-06,
+      "loss": 0.849,
+      "step": 16176
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.272166167452242e-06,
+      "loss": 0.7981,
+      "step": 16177
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.270990310325637e-06,
+      "loss": 0.7499,
+      "step": 16178
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.269814513082253e-06,
+      "loss": 0.8832,
+      "step": 16179
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.2686387757409736e-06,
+      "loss": 0.7063,
+      "step": 16180
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.267463098320682e-06,
+      "loss": 0.7087,
+      "step": 16181
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.266287480840253e-06,
+      "loss": 0.74,
+      "step": 16182
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.265111923318569e-06,
+      "loss": 0.8202,
+      "step": 16183
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.263936425774508e-06,
+      "loss": 0.7233,
+      "step": 16184
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.262760988226948e-06,
+      "loss": 0.9122,
+      "step": 16185
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.261585610694762e-06,
+      "loss": 0.7167,
+      "step": 16186
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.260410293196828e-06,
+      "loss": 0.8263,
+      "step": 16187
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.259235035752014e-06,
+      "loss": 0.6594,
+      "step": 16188
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.258059838379203e-06,
+      "loss": 0.8021,
+      "step": 16189
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.256884701097261e-06,
+      "loss": 0.8628,
+      "step": 16190
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.255709623925061e-06,
+      "loss": 0.8116,
+      "step": 16191
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.254534606881467e-06,
+      "loss": 0.7508,
+      "step": 16192
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.253359649985359e-06,
+      "loss": 0.751,
+      "step": 16193
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.2521847532556e-06,
+      "loss": 0.7869,
+      "step": 16194
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.251009916711059e-06,
+      "loss": 0.763,
+      "step": 16195
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.2498351403706e-06,
+      "loss": 0.8208,
+      "step": 16196
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.248660424253084e-06,
+      "loss": 0.8093,
+      "step": 16197
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.247485768377386e-06,
+      "loss": 0.7128,
+      "step": 16198
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.2463111727623645e-06,
+      "loss": 0.8151,
+      "step": 16199
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.245136637426882e-06,
+      "loss": 0.9024,
+      "step": 16200
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.2439621623897965e-06,
+      "loss": 0.7378,
+      "step": 16201
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.242787747669974e-06,
+      "loss": 0.7205,
+      "step": 16202
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.2416133932862746e-06,
+      "loss": 0.7362,
+      "step": 16203
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.240439099257554e-06,
+      "loss": 0.7281,
+      "step": 16204
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.23926486560267e-06,
+      "loss": 0.8244,
+      "step": 16205
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.238090692340475e-06,
+      "loss": 0.7041,
+      "step": 16206
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.236916579489835e-06,
+      "loss": 0.739,
+      "step": 16207
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.235742527069599e-06,
+      "loss": 0.9645,
+      "step": 16208
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.23456853509862e-06,
+      "loss": 0.8762,
+      "step": 16209
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.233394603595751e-06,
+      "loss": 0.6908,
+      "step": 16210
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.232220732579845e-06,
+      "loss": 0.7893,
+      "step": 16211
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.231046922069755e-06,
+      "loss": 0.7901,
+      "step": 16212
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.229873172084329e-06,
+      "loss": 0.7793,
+      "step": 16213
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.228699482642412e-06,
+      "loss": 0.7867,
+      "step": 16214
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.227525853762857e-06,
+      "loss": 0.7864,
+      "step": 16215
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.22635228546451e-06,
+      "loss": 0.8155,
+      "step": 16216
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.225178777766219e-06,
+      "loss": 0.7552,
+      "step": 16217
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.224005330686824e-06,
+      "loss": 0.7931,
+      "step": 16218
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.222831944245171e-06,
+      "loss": 0.7454,
+      "step": 16219
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.221658618460107e-06,
+      "loss": 0.7816,
+      "step": 16220
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.220485353350467e-06,
+      "loss": 0.8139,
+      "step": 16221
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.2193121489351e-06,
+      "loss": 0.6661,
+      "step": 16222
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.21813900523284e-06,
+      "loss": 0.6723,
+      "step": 16223
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.21696592226253e-06,
+      "loss": 0.6672,
+      "step": 16224
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.215792900043007e-06,
+      "loss": 0.8649,
+      "step": 16225
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.214619938593108e-06,
+      "loss": 0.8093,
+      "step": 16226
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.213447037931669e-06,
+      "loss": 0.7497,
+      "step": 16227
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.212274198077526e-06,
+      "loss": 0.706,
+      "step": 16228
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.211101419049512e-06,
+      "loss": 0.7836,
+      "step": 16229
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.209928700866463e-06,
+      "loss": 0.7688,
+      "step": 16230
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.208756043547211e-06,
+      "loss": 0.8404,
+      "step": 16231
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.207583447110581e-06,
+      "loss": 0.7761,
+      "step": 16232
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.206410911575413e-06,
+      "loss": 0.6721,
+      "step": 16233
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.205238436960532e-06,
+      "loss": 0.7218,
+      "step": 16234
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.204066023284767e-06,
+      "loss": 0.7239,
+      "step": 16235
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.202893670566945e-06,
+      "loss": 0.7821,
+      "step": 16236
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.201721378825889e-06,
+      "loss": 0.6968,
+      "step": 16237
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.20054914808043e-06,
+      "loss": 0.8332,
+      "step": 16238
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.199376978349394e-06,
+      "loss": 0.8593,
+      "step": 16239
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.198204869651599e-06,
+      "loss": 0.7642,
+      "step": 16240
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1970328220058665e-06,
+      "loss": 0.9233,
+      "step": 16241
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.195860835431024e-06,
+      "loss": 0.9239,
+      "step": 16242
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1946889099458915e-06,
+      "loss": 0.9311,
+      "step": 16243
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1935170455692874e-06,
+      "loss": 0.8629,
+      "step": 16244
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.192345242320028e-06,
+      "loss": 0.8404,
+      "step": 16245
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1911735002169295e-06,
+      "loss": 0.8347,
+      "step": 16246
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.190001819278817e-06,
+      "loss": 0.7467,
+      "step": 16247
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1888301995245e-06,
+      "loss": 0.7733,
+      "step": 16248
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.187658640972794e-06,
+      "loss": 0.7524,
+      "step": 16249
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.186487143642508e-06,
+      "loss": 0.8343,
+      "step": 16250
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1853157075524664e-06,
+      "loss": 0.7715,
+      "step": 16251
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.184144332721473e-06,
+      "loss": 0.737,
+      "step": 16252
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.18297301916834e-06,
+      "loss": 0.8242,
+      "step": 16253
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.181801766911878e-06,
+      "loss": 0.769,
+      "step": 16254
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1806305759708906e-06,
+      "loss": 0.7227,
+      "step": 16255
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.179459446364194e-06,
+      "loss": 0.6818,
+      "step": 16256
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.178288378110593e-06,
+      "loss": 0.7646,
+      "step": 16257
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.177117371228889e-06,
+      "loss": 0.7685,
+      "step": 16258
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1759464257378874e-06,
+      "loss": 0.9118,
+      "step": 16259
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1747755416563996e-06,
+      "loss": 0.7018,
+      "step": 16260
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.173604719003221e-06,
+      "loss": 0.8365,
+      "step": 16261
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.172433957797157e-06,
+      "loss": 0.8251,
+      "step": 16262
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.171263258057008e-06,
+      "loss": 0.6053,
+      "step": 16263
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1700926198015685e-06,
+      "loss": 0.7905,
+      "step": 16264
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.168922043049645e-06,
+      "loss": 0.8063,
+      "step": 16265
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.167751527820034e-06,
+      "loss": 0.8226,
+      "step": 16266
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1665810741315325e-06,
+      "loss": 0.8381,
+      "step": 16267
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.165410682002932e-06,
+      "loss": 0.9185,
+      "step": 16268
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1642403514530344e-06,
+      "loss": 0.8008,
+      "step": 16269
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.163070082500629e-06,
+      "loss": 0.7454,
+      "step": 16270
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.161899875164509e-06,
+      "loss": 0.8109,
+      "step": 16271
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1607297294634675e-06,
+      "loss": 0.9141,
+      "step": 16272
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1595596454162975e-06,
+      "loss": 0.7679,
+      "step": 16273
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.158389623041787e-06,
+      "loss": 0.7349,
+      "step": 16274
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.157219662358724e-06,
+      "loss": 0.6941,
+      "step": 16275
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.156049763385901e-06,
+      "loss": 0.6877,
+      "step": 16276
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.154879926142095e-06,
+      "loss": 0.8426,
+      "step": 16277
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.153710150646106e-06,
+      "loss": 0.8862,
+      "step": 16278
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1525404369167096e-06,
+      "loss": 0.7406,
+      "step": 16279
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1513707849726945e-06,
+      "loss": 0.7327,
+      "step": 16280
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.150201194832837e-06,
+      "loss": 0.6311,
+      "step": 16281
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.14903166651593e-06,
+      "loss": 0.8065,
+      "step": 16282
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1478622000407475e-06,
+      "loss": 0.7583,
+      "step": 16283
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1466927954260705e-06,
+      "loss": 0.7207,
+      "step": 16284
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.145523452690681e-06,
+      "loss": 0.7949,
+      "step": 16285
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.144354171853348e-06,
+      "loss": 0.6146,
+      "step": 16286
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1431849529328615e-06,
+      "loss": 0.9329,
+      "step": 16287
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.142015795947991e-06,
+      "loss": 0.8891,
+      "step": 16288
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.140846700917513e-06,
+      "loss": 0.7675,
+      "step": 16289
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.139677667860197e-06,
+      "loss": 0.6877,
+      "step": 16290
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1385086967948235e-06,
+      "loss": 0.7208,
+      "step": 16291
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.137339787740163e-06,
+      "loss": 0.7744,
+      "step": 16292
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.136170940714985e-06,
+      "loss": 0.7159,
+      "step": 16293
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.135002155738059e-06,
+      "loss": 0.8094,
+      "step": 16294
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.133833432828153e-06,
+      "loss": 0.8794,
+      "step": 16295
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.13266477200404e-06,
+      "loss": 0.7787,
+      "step": 16296
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.131496173284485e-06,
+      "loss": 0.799,
+      "step": 16297
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.130327636688254e-06,
+      "loss": 0.7458,
+      "step": 16298
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.129159162234109e-06,
+      "loss": 0.6405,
+      "step": 16299
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.127990749940822e-06,
+      "loss": 0.7198,
+      "step": 16300
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1268223998271505e-06,
+      "loss": 0.7498,
+      "step": 16301
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.125654111911857e-06,
+      "loss": 0.845,
+      "step": 16302
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.124485886213705e-06,
+      "loss": 0.795,
+      "step": 16303
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.123317722751449e-06,
+      "loss": 0.7852,
+      "step": 16304
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.122149621543856e-06,
+      "loss": 0.7256,
+      "step": 16305
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.120981582609682e-06,
+      "loss": 0.8069,
+      "step": 16306
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.119813605967681e-06,
+      "loss": 0.8481,
+      "step": 16307
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.118645691636612e-06,
+      "loss": 0.8092,
+      "step": 16308
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.117477839635231e-06,
+      "loss": 0.8727,
+      "step": 16309
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.116310049982288e-06,
+      "loss": 0.7388,
+      "step": 16310
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1151423226965416e-06,
+      "loss": 0.7547,
+      "step": 16311
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1139746577967405e-06,
+      "loss": 0.6796,
+      "step": 16312
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.112807055301635e-06,
+      "loss": 0.8886,
+      "step": 16313
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.111639515229981e-06,
+      "loss": 0.7919,
+      "step": 16314
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.110472037600523e-06,
+      "loss": 0.7842,
+      "step": 16315
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.109304622432008e-06,
+      "loss": 0.8435,
+      "step": 16316
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1081372697431854e-06,
+      "loss": 0.7306,
+      "step": 16317
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.106969979552804e-06,
+      "loss": 0.8244,
+      "step": 16318
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.105802751879606e-06,
+      "loss": 0.7111,
+      "step": 16319
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.1046355867423355e-06,
+      "loss": 0.6858,
+      "step": 16320
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.103468484159738e-06,
+      "loss": 0.8557,
+      "step": 16321
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.102301444150549e-06,
+      "loss": 0.8566,
+      "step": 16322
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.101134466733518e-06,
+      "loss": 0.5927,
+      "step": 16323
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.099967551927384e-06,
+      "loss": 0.7782,
+      "step": 16324
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.098800699750882e-06,
+      "loss": 0.5828,
+      "step": 16325
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.097633910222749e-06,
+      "loss": 0.6213,
+      "step": 16326
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.09646718336173e-06,
+      "loss": 0.7644,
+      "step": 16327
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.095300519186555e-06,
+      "loss": 0.7875,
+      "step": 16328
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.094133917715963e-06,
+      "loss": 0.6999,
+      "step": 16329
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.09296737896868e-06,
+      "loss": 0.6858,
+      "step": 16330
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.091800902963451e-06,
+      "loss": 0.7863,
+      "step": 16331
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.090634489719e-06,
+      "loss": 0.9143,
+      "step": 16332
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.089468139254062e-06,
+      "loss": 0.7466,
+      "step": 16333
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.088301851587366e-06,
+      "loss": 0.6828,
+      "step": 16334
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.087135626737636e-06,
+      "loss": 0.8252,
+      "step": 16335
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.085969464723609e-06,
+      "loss": 0.696,
+      "step": 16336
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.084803365564007e-06,
+      "loss": 0.7132,
+      "step": 16337
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.083637329277557e-06,
+      "loss": 0.7052,
+      "step": 16338
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.08247135588298e-06,
+      "loss": 0.8089,
+      "step": 16339
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.081305445399008e-06,
+      "loss": 0.795,
+      "step": 16340
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.080139597844361e-06,
+      "loss": 0.6668,
+      "step": 16341
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.078973813237761e-06,
+      "loss": 0.9208,
+      "step": 16342
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.077808091597927e-06,
+      "loss": 0.6304,
+      "step": 16343
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.076642432943576e-06,
+      "loss": 0.6746,
+      "step": 16344
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.0754768372934345e-06,
+      "loss": 0.7659,
+      "step": 16345
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.074311304666219e-06,
+      "loss": 0.749,
+      "step": 16346
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.073145835080645e-06,
+      "loss": 0.7692,
+      "step": 16347
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.071980428555425e-06,
+      "loss": 0.7992,
+      "step": 16348
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.070815085109278e-06,
+      "loss": 0.6947,
+      "step": 16349
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.069649804760919e-06,
+      "loss": 0.6939,
+      "step": 16350
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.068484587529059e-06,
+      "loss": 0.7141,
+      "step": 16351
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.06731943343241e-06,
+      "loss": 0.7394,
+      "step": 16352
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.066154342489681e-06,
+      "loss": 0.7402,
+      "step": 16353
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.0649893147195845e-06,
+      "loss": 0.741,
+      "step": 16354
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.06382435014083e-06,
+      "loss": 0.8322,
+      "step": 16355
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.062659448772124e-06,
+      "loss": 0.8469,
+      "step": 16356
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.061494610632171e-06,
+      "loss": 0.891,
+      "step": 16357
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.060329835739682e-06,
+      "loss": 0.7495,
+      "step": 16358
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.05916512411336e-06,
+      "loss": 0.6893,
+      "step": 16359
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.058000475771906e-06,
+      "loss": 0.6603,
+      "step": 16360
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.056835890734025e-06,
+      "loss": 0.6495,
+      "step": 16361
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.055671369018418e-06,
+      "loss": 0.7515,
+      "step": 16362
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.054506910643787e-06,
+      "loss": 0.6851,
+      "step": 16363
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.0533425156288325e-06,
+      "loss": 0.8353,
+      "step": 16364
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.05217818399225e-06,
+      "loss": 0.7653,
+      "step": 16365
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.051013915752737e-06,
+      "loss": 0.7632,
+      "step": 16366
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.049849710928995e-06,
+      "loss": 0.7221,
+      "step": 16367
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.048685569539717e-06,
+      "loss": 0.7936,
+      "step": 16368
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.0475214916035985e-06,
+      "loss": 0.6886,
+      "step": 16369
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.046357477139331e-06,
+      "loss": 0.7301,
+      "step": 16370
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.045193526165604e-06,
+      "loss": 0.7675,
+      "step": 16371
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.044029638701117e-06,
+      "loss": 0.7226,
+      "step": 16372
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.042865814764558e-06,
+      "loss": 0.6603,
+      "step": 16373
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.041702054374615e-06,
+      "loss": 0.6821,
+      "step": 16374
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.0405383575499735e-06,
+      "loss": 0.8904,
+      "step": 16375
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.039374724309328e-06,
+      "loss": 0.8055,
+      "step": 16376
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.0382111546713605e-06,
+      "loss": 0.7791,
+      "step": 16377
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.037047648654759e-06,
+      "loss": 0.8339,
+      "step": 16378
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.035884206278206e-06,
+      "loss": 0.8666,
+      "step": 16379
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.034720827560381e-06,
+      "loss": 0.865,
+      "step": 16380
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.033557512519975e-06,
+      "loss": 0.7355,
+      "step": 16381
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.032394261175665e-06,
+      "loss": 0.7408,
+      "step": 16382
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.031231073546131e-06,
+      "loss": 0.8041,
+      "step": 16383
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.03006794965005e-06,
+      "loss": 0.8349,
+      "step": 16384
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.028904889506107e-06,
+      "loss": 0.8173,
+      "step": 16385
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.027741893132974e-06,
+      "loss": 0.7404,
+      "step": 16386
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.02657896054933e-06,
+      "loss": 0.7118,
+      "step": 16387
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.025416091773845e-06,
+      "loss": 0.7904,
+      "step": 16388
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.0242532868252e-06,
+      "loss": 0.7273,
+      "step": 16389
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.023090545722066e-06,
+      "loss": 0.7846,
+      "step": 16390
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.021927868483115e-06,
+      "loss": 0.8255,
+      "step": 16391
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.020765255127017e-06,
+      "loss": 0.8091,
+      "step": 16392
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.019602705672441e-06,
+      "loss": 0.737,
+      "step": 16393
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.0184402201380575e-06,
+      "loss": 0.6302,
+      "step": 16394
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.017277798542536e-06,
+      "loss": 0.7397,
+      "step": 16395
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.016115440904544e-06,
+      "loss": 0.7858,
+      "step": 16396
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.014953147242744e-06,
+      "loss": 0.8552,
+      "step": 16397
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.013790917575804e-06,
+      "loss": 0.7594,
+      "step": 16398
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.012628751922385e-06,
+      "loss": 0.7832,
+      "step": 16399
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.011466650301154e-06,
+      "loss": 0.7608,
+      "step": 16400
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.010304612730771e-06,
+      "loss": 0.7275,
+      "step": 16401
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.009142639229893e-06,
+      "loss": 0.7761,
+      "step": 16402
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.007980729817187e-06,
+      "loss": 0.6744,
+      "step": 16403
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.006818884511307e-06,
+      "loss": 0.6468,
+      "step": 16404
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.005657103330911e-06,
+      "loss": 0.9675,
+      "step": 16405
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.004495386294657e-06,
+      "loss": 0.8219,
+      "step": 16406
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.003333733421202e-06,
+      "loss": 0.6991,
+      "step": 16407
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.002172144729199e-06,
+      "loss": 0.8984,
+      "step": 16408
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.001010620237302e-06,
+      "loss": 0.7607,
+      "step": 16409
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.999849159964164e-06,
+      "loss": 0.7545,
+      "step": 16410
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.99868776392843e-06,
+      "loss": 0.7649,
+      "step": 16411
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.997526432148763e-06,
+      "loss": 0.8644,
+      "step": 16412
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9963651646438045e-06,
+      "loss": 0.683,
+      "step": 16413
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.995203961432205e-06,
+      "loss": 0.8587,
+      "step": 16414
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.994042822532608e-06,
+      "loss": 0.7394,
+      "step": 16415
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.992881747963667e-06,
+      "loss": 0.7566,
+      "step": 16416
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.991720737744024e-06,
+      "loss": 0.8613,
+      "step": 16417
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.990559791892323e-06,
+      "loss": 0.8433,
+      "step": 16418
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.989398910427209e-06,
+      "loss": 0.8104,
+      "step": 16419
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.988238093367318e-06,
+      "loss": 0.9107,
+      "step": 16420
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9870773407313e-06,
+      "loss": 0.7408,
+      "step": 16421
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.985916652537791e-06,
+      "loss": 0.8801,
+      "step": 16422
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.984756028805432e-06,
+      "loss": 0.849,
+      "step": 16423
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.983595469552855e-06,
+      "loss": 0.6929,
+      "step": 16424
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.982434974798705e-06,
+      "loss": 0.832,
+      "step": 16425
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.981274544561617e-06,
+      "loss": 0.7697,
+      "step": 16426
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.980114178860224e-06,
+      "loss": 0.8099,
+      "step": 16427
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.978953877713159e-06,
+      "loss": 0.7741,
+      "step": 16428
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.977793641139051e-06,
+      "loss": 0.7918,
+      "step": 16429
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.976633469156543e-06,
+      "loss": 0.8632,
+      "step": 16430
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9754733617842585e-06,
+      "loss": 0.9545,
+      "step": 16431
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.97431331904083e-06,
+      "loss": 0.6986,
+      "step": 16432
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.973153340944882e-06,
+      "loss": 0.9435,
+      "step": 16433
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.971993427515047e-06,
+      "loss": 0.73,
+      "step": 16434
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.970833578769951e-06,
+      "loss": 0.8033,
+      "step": 16435
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.969673794728219e-06,
+      "loss": 0.6325,
+      "step": 16436
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.968514075408476e-06,
+      "loss": 0.7621,
+      "step": 16437
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.967354420829341e-06,
+      "loss": 0.6346,
+      "step": 16438
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9661948310094446e-06,
+      "loss": 0.812,
+      "step": 16439
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.965035305967405e-06,
+      "loss": 0.7787,
+      "step": 16440
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9638758457218425e-06,
+      "loss": 0.8198,
+      "step": 16441
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.962716450291372e-06,
+      "loss": 0.7867,
+      "step": 16442
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.961557119694621e-06,
+      "loss": 0.8216,
+      "step": 16443
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.960397853950199e-06,
+      "loss": 0.8242,
+      "step": 16444
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9592386530767285e-06,
+      "loss": 0.8335,
+      "step": 16445
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9580795170928195e-06,
+      "loss": 0.7578,
+      "step": 16446
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.95692044601709e-06,
+      "loss": 0.8129,
+      "step": 16447
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.955761439868153e-06,
+      "loss": 0.8023,
+      "step": 16448
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9546024986646186e-06,
+      "loss": 0.7904,
+      "step": 16449
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.953443622425097e-06,
+      "loss": 0.5863,
+      "step": 16450
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.952284811168201e-06,
+      "loss": 0.7952,
+      "step": 16451
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.95112606491254e-06,
+      "loss": 0.7552,
+      "step": 16452
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9499673836767215e-06,
+      "loss": 0.7793,
+      "step": 16453
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.948808767479352e-06,
+      "loss": 0.8177,
+      "step": 16454
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.947650216339031e-06,
+      "loss": 0.805,
+      "step": 16455
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.946491730274376e-06,
+      "loss": 0.7965,
+      "step": 16456
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.945333309303984e-06,
+      "loss": 0.7672,
+      "step": 16457
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.944174953446457e-06,
+      "loss": 0.7269,
+      "step": 16458
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9430166627204e-06,
+      "loss": 0.7425,
+      "step": 16459
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.941858437144408e-06,
+      "loss": 0.8439,
+      "step": 16460
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.940700276737087e-06,
+      "loss": 0.6745,
+      "step": 16461
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.939542181517033e-06,
+      "loss": 0.6915,
+      "step": 16462
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.938384151502844e-06,
+      "loss": 0.6889,
+      "step": 16463
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.937226186713112e-06,
+      "loss": 0.633,
+      "step": 16464
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.93606828716644e-06,
+      "loss": 0.6984,
+      "step": 16465
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.934910452881419e-06,
+      "loss": 0.7516,
+      "step": 16466
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.933752683876642e-06,
+      "loss": 0.85,
+      "step": 16467
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.932594980170703e-06,
+      "loss": 0.9359,
+      "step": 16468
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.931437341782187e-06,
+      "loss": 0.8246,
+      "step": 16469
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.930279768729692e-06,
+      "loss": 0.7166,
+      "step": 16470
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.929122261031806e-06,
+      "loss": 0.7701,
+      "step": 16471
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.927964818707115e-06,
+      "loss": 0.6811,
+      "step": 16472
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.926807441774202e-06,
+      "loss": 0.8365,
+      "step": 16473
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.925650130251661e-06,
+      "loss": 0.6956,
+      "step": 16474
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.924492884158075e-06,
+      "loss": 0.7638,
+      "step": 16475
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.923335703512026e-06,
+      "loss": 0.8931,
+      "step": 16476
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.922178588332096e-06,
+      "loss": 0.5566,
+      "step": 16477
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.921021538636864e-06,
+      "loss": 0.733,
+      "step": 16478
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.919864554444921e-06,
+      "loss": 0.8513,
+      "step": 16479
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.918707635774838e-06,
+      "loss": 0.701,
+      "step": 16480
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.917550782645198e-06,
+      "loss": 0.7629,
+      "step": 16481
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.916393995074574e-06,
+      "loss": 0.6717,
+      "step": 16482
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.915237273081547e-06,
+      "loss": 0.847,
+      "step": 16483
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.914080616684691e-06,
+      "loss": 0.8766,
+      "step": 16484
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.912924025902581e-06,
+      "loss": 0.6923,
+      "step": 16485
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.911767500753789e-06,
+      "loss": 0.8026,
+      "step": 16486
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.910611041256888e-06,
+      "loss": 0.6777,
+      "step": 16487
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.9094546474304505e-06,
+      "loss": 0.9195,
+      "step": 16488
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.908298319293042e-06,
+      "loss": 0.8093,
+      "step": 16489
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.90714205686324e-06,
+      "loss": 0.653,
+      "step": 16490
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.9059858601596045e-06,
+      "loss": 0.8835,
+      "step": 16491
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.904829729200707e-06,
+      "loss": 0.8325,
+      "step": 16492
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.903673664005114e-06,
+      "loss": 0.7883,
+      "step": 16493
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.902517664591389e-06,
+      "loss": 0.5953,
+      "step": 16494
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.9013617309780925e-06,
+      "loss": 0.6524,
+      "step": 16495
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.900205863183792e-06,
+      "loss": 0.6986,
+      "step": 16496
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.89905006122705e-06,
+      "loss": 0.7503,
+      "step": 16497
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.897894325126424e-06,
+      "loss": 0.9094,
+      "step": 16498
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.896738654900476e-06,
+      "loss": 0.7429,
+      "step": 16499
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.8955830505677595e-06,
+      "loss": 0.7598,
+      "step": 16500
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.89442751214684e-06,
+      "loss": 0.7042,
+      "step": 16501
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.89327203965627e-06,
+      "loss": 0.7106,
+      "step": 16502
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.892116633114605e-06,
+      "loss": 0.9076,
+      "step": 16503
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.890961292540396e-06,
+      "loss": 0.7998,
+      "step": 16504
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.889806017952202e-06,
+      "loss": 0.7834,
+      "step": 16505
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.888650809368574e-06,
+      "loss": 0.6995,
+      "step": 16506
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.887495666808063e-06,
+      "loss": 0.7068,
+      "step": 16507
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.886340590289218e-06,
+      "loss": 0.7575,
+      "step": 16508
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.885185579830584e-06,
+      "loss": 0.7091,
+      "step": 16509
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.884030635450717e-06,
+      "loss": 0.6573,
+      "step": 16510
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.882875757168161e-06,
+      "loss": 0.7842,
+      "step": 16511
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.881720945001461e-06,
+      "loss": 0.8625,
+      "step": 16512
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.880566198969159e-06,
+      "loss": 0.7862,
+      "step": 16513
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.879411519089805e-06,
+      "loss": 0.6836,
+      "step": 16514
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.878256905381938e-06,
+      "loss": 0.7662,
+      "step": 16515
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.8771023578641015e-06,
+      "loss": 0.7725,
+      "step": 16516
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.875947876554835e-06,
+      "loss": 0.7627,
+      "step": 16517
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.874793461472673e-06,
+      "loss": 0.7022,
+      "step": 16518
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.873639112636164e-06,
+      "loss": 0.8025,
+      "step": 16519
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.872484830063838e-06,
+      "loss": 0.7642,
+      "step": 16520
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.8713306137742355e-06,
+      "loss": 0.7634,
+      "step": 16521
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.870176463785886e-06,
+      "loss": 0.8153,
+      "step": 16522
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.8690223801173305e-06,
+      "loss": 0.7529,
+      "step": 16523
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.867868362787099e-06,
+      "loss": 0.8392,
+      "step": 16524
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.866714411813725e-06,
+      "loss": 0.7383,
+      "step": 16525
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.865560527215737e-06,
+      "loss": 0.8562,
+      "step": 16526
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.864406709011665e-06,
+      "loss": 0.6783,
+      "step": 16527
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.863252957220038e-06,
+      "loss": 0.8672,
+      "step": 16528
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.862099271859388e-06,
+      "loss": 0.8495,
+      "step": 16529
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.860945652948239e-06,
+      "loss": 0.7322,
+      "step": 16530
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.859792100505113e-06,
+      "loss": 0.7332,
+      "step": 16531
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.858638614548541e-06,
+      "loss": 0.7458,
+      "step": 16532
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.857485195097041e-06,
+      "loss": 0.7681,
+      "step": 16533
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.856331842169139e-06,
+      "loss": 0.732,
+      "step": 16534
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.855178555783356e-06,
+      "loss": 0.695,
+      "step": 16535
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.85402533595821e-06,
+      "loss": 0.9647,
+      "step": 16536
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.852872182712224e-06,
+      "loss": 0.8402,
+      "step": 16537
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.851719096063914e-06,
+      "loss": 0.8311,
+      "step": 16538
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.850566076031794e-06,
+      "loss": 0.7125,
+      "step": 16539
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.849413122634384e-06,
+      "loss": 0.8648,
+      "step": 16540
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.848260235890202e-06,
+      "loss": 0.7741,
+      "step": 16541
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.847107415817757e-06,
+      "loss": 0.8501,
+      "step": 16542
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.845954662435563e-06,
+      "loss": 0.7685,
+      "step": 16543
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.844801975762131e-06,
+      "loss": 0.7024,
+      "step": 16544
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.843649355815968e-06,
+      "loss": 0.9485,
+      "step": 16545
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.8424968026155935e-06,
+      "loss": 0.7956,
+      "step": 16546
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.841344316179511e-06,
+      "loss": 0.7666,
+      "step": 16547
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.840191896526226e-06,
+      "loss": 0.9327,
+      "step": 16548
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.839039543674245e-06,
+      "loss": 0.7523,
+      "step": 16549
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.837887257642075e-06,
+      "loss": 0.7118,
+      "step": 16550
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.836735038448225e-06,
+      "loss": 0.7628,
+      "step": 16551
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.83558288611119e-06,
+      "loss": 0.8086,
+      "step": 16552
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.834430800649477e-06,
+      "loss": 0.7819,
+      "step": 16553
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.833278782081585e-06,
+      "loss": 0.753,
+      "step": 16554
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.832126830426012e-06,
+      "loss": 0.8122,
+      "step": 16555
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.830974945701262e-06,
+      "loss": 0.8,
+      "step": 16556
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.829823127925832e-06,
+      "loss": 0.7178,
+      "step": 16557
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.828671377118213e-06,
+      "loss": 0.8857,
+      "step": 16558
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.827519693296906e-06,
+      "loss": 0.7253,
+      "step": 16559
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.826368076480409e-06,
+      "loss": 0.9387,
+      "step": 16560
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.825216526687205e-06,
+      "loss": 0.7586,
+      "step": 16561
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.824065043935794e-06,
+      "loss": 0.8045,
+      "step": 16562
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.822913628244664e-06,
+      "loss": 0.7922,
+      "step": 16563
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.821762279632312e-06,
+      "loss": 0.7519,
+      "step": 16564
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.820610998117218e-06,
+      "loss": 0.7719,
+      "step": 16565
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.819459783717878e-06,
+      "loss": 0.8306,
+      "step": 16566
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.818308636452767e-06,
+      "loss": 0.7298,
+      "step": 16567
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.817157556340387e-06,
+      "loss": 0.8163,
+      "step": 16568
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.816006543399213e-06,
+      "loss": 0.7367,
+      "step": 16569
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.8148555976477335e-06,
+      "loss": 0.8698,
+      "step": 16570
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.813704719104422e-06,
+      "loss": 0.8214,
+      "step": 16571
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.812553907787774e-06,
+      "loss": 0.6857,
+      "step": 16572
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.811403163716259e-06,
+      "loss": 0.8497,
+      "step": 16573
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.810252486908366e-06,
+      "loss": 0.7192,
+      "step": 16574
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.809101877382562e-06,
+      "loss": 0.8255,
+      "step": 16575
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.807951335157332e-06,
+      "loss": 0.6546,
+      "step": 16576
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.80680086025115e-06,
+      "loss": 0.771,
+      "step": 16577
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.805650452682496e-06,
+      "loss": 0.7881,
+      "step": 16578
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.804500112469835e-06,
+      "loss": 0.6756,
+      "step": 16579
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.803349839631647e-06,
+      "loss": 0.7471,
+      "step": 16580
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.802199634186401e-06,
+      "loss": 0.7943,
+      "step": 16581
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.801049496152571e-06,
+      "loss": 0.9325,
+      "step": 16582
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.799899425548623e-06,
+      "loss": 0.8801,
+      "step": 16583
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.79874942239303e-06,
+      "loss": 0.7416,
+      "step": 16584
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.797599486704249e-06,
+      "loss": 0.846,
+      "step": 16585
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.796449618500761e-06,
+      "loss": 0.9638,
+      "step": 16586
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.795299817801024e-06,
+      "loss": 0.861,
+      "step": 16587
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7941500846235045e-06,
+      "loss": 0.6686,
+      "step": 16588
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.793000418986656e-06,
+      "loss": 0.859,
+      "step": 16589
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.791850820908959e-06,
+      "loss": 0.7477,
+      "step": 16590
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.79070129040886e-06,
+      "loss": 0.7496,
+      "step": 16591
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.789551827504827e-06,
+      "loss": 0.7232,
+      "step": 16592
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.788402432215312e-06,
+      "loss": 0.7435,
+      "step": 16593
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.787253104558776e-06,
+      "loss": 0.7121,
+      "step": 16594
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.786103844553679e-06,
+      "loss": 0.8009,
+      "step": 16595
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.784954652218475e-06,
+      "loss": 0.7403,
+      "step": 16596
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.783805527571616e-06,
+      "loss": 0.6637,
+      "step": 16597
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.782656470631553e-06,
+      "loss": 0.7798,
+      "step": 16598
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.78150748141675e-06,
+      "loss": 0.7037,
+      "step": 16599
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.780358559945647e-06,
+      "loss": 0.7242,
+      "step": 16600
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.779209706236696e-06,
+      "loss": 0.7524,
+      "step": 16601
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7780609203083525e-06,
+      "loss": 0.8045,
+      "step": 16602
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7769122021790565e-06,
+      "loss": 0.6955,
+      "step": 16603
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7757635518672595e-06,
+      "loss": 0.846,
+      "step": 16604
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.77461496939141e-06,
+      "loss": 0.7452,
+      "step": 16605
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.773466454769946e-06,
+      "loss": 0.7197,
+      "step": 16606
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.772318008021314e-06,
+      "loss": 0.7586,
+      "step": 16607
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.771169629163957e-06,
+      "loss": 0.8292,
+      "step": 16608
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7700213182163215e-06,
+      "loss": 0.8605,
+      "step": 16609
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.768873075196838e-06,
+      "loss": 0.754,
+      "step": 16610
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7677249001239565e-06,
+      "loss": 0.6675,
+      "step": 16611
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.766576793016101e-06,
+      "loss": 0.7492,
+      "step": 16612
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7654287538917244e-06,
+      "loss": 0.7582,
+      "step": 16613
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.764280782769254e-06,
+      "loss": 0.673,
+      "step": 16614
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7631328796671285e-06,
+      "loss": 0.7545,
+      "step": 16615
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.761985044603773e-06,
+      "loss": 0.7236,
+      "step": 16616
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7608372775976355e-06,
+      "loss": 0.6912,
+      "step": 16617
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7596895786671335e-06,
+      "loss": 0.6002,
+      "step": 16618
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.75854194783071e-06,
+      "loss": 0.7104,
+      "step": 16619
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.757394385106778e-06,
+      "loss": 0.6005,
+      "step": 16620
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.756246890513784e-06,
+      "loss": 0.8303,
+      "step": 16621
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.755099464070144e-06,
+      "loss": 0.7143,
+      "step": 16622
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.753952105794291e-06,
+      "loss": 0.711,
+      "step": 16623
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.752804815704642e-06,
+      "loss": 0.779,
+      "step": 16624
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.751657593819627e-06,
+      "loss": 0.7196,
+      "step": 16625
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7505104401576676e-06,
+      "loss": 0.7725,
+      "step": 16626
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.749363354737188e-06,
+      "loss": 0.6701,
+      "step": 16627
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.748216337576604e-06,
+      "loss": 0.7368,
+      "step": 16628
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.747069388694337e-06,
+      "loss": 0.6828,
+      "step": 16629
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7459225081088076e-06,
+      "loss": 0.6985,
+      "step": 16630
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.744775695838435e-06,
+      "loss": 0.6694,
+      "step": 16631
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7436289519016285e-06,
+      "loss": 0.6215,
+      "step": 16632
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.742482276316812e-06,
+      "loss": 0.8204,
+      "step": 16633
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.741335669102388e-06,
+      "loss": 0.8127,
+      "step": 16634
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.740189130276783e-06,
+      "loss": 0.6914,
+      "step": 16635
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7390426598584e-06,
+      "loss": 0.6501,
+      "step": 16636
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.737896257865656e-06,
+      "loss": 0.6828,
+      "step": 16637
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.736749924316954e-06,
+      "loss": 0.922,
+      "step": 16638
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.735603659230705e-06,
+      "loss": 0.7116,
+      "step": 16639
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.734457462625318e-06,
+      "loss": 0.7575,
+      "step": 16640
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.733311334519204e-06,
+      "loss": 0.768,
+      "step": 16641
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.732165274930759e-06,
+      "loss": 0.8713,
+      "step": 16642
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.731019283878391e-06,
+      "loss": 0.7913,
+      "step": 16643
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7298733613805094e-06,
+      "loss": 0.6912,
+      "step": 16644
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7287275074555045e-06,
+      "loss": 0.9283,
+      "step": 16645
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.727581722121787e-06,
+      "loss": 0.8983,
+      "step": 16646
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7264360053977506e-06,
+      "loss": 0.7776,
+      "step": 16647
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.725290357301803e-06,
+      "loss": 0.8237,
+      "step": 16648
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7241447778523295e-06,
+      "loss": 0.7289,
+      "step": 16649
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.722999267067738e-06,
+      "loss": 0.9371,
+      "step": 16650
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.721853824966414e-06,
+      "loss": 0.7927,
+      "step": 16651
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.720708451566759e-06,
+      "loss": 0.8779,
+      "step": 16652
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.719563146887163e-06,
+      "loss": 0.8381,
+      "step": 16653
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7184179109460224e-06,
+      "loss": 0.8097,
+      "step": 16654
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.717272743761722e-06,
+      "loss": 0.754,
+      "step": 16655
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.716127645352654e-06,
+      "loss": 0.7757,
+      "step": 16656
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.714982615737208e-06,
+      "loss": 0.7231,
+      "step": 16657
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.713837654933776e-06,
+      "loss": 0.7193,
+      "step": 16658
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.712692762960736e-06,
+      "loss": 0.6227,
+      "step": 16659
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.711547939836484e-06,
+      "loss": 0.7267,
+      "step": 16660
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.710403185579389e-06,
+      "loss": 0.8111,
+      "step": 16661
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.70925850020785e-06,
+      "loss": 0.7891,
+      "step": 16662
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.708113883740241e-06,
+      "loss": 0.7703,
+      "step": 16663
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.706969336194948e-06,
+      "loss": 0.8167,
+      "step": 16664
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.705824857590341e-06,
+      "loss": 0.7745,
+      "step": 16665
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.704680447944812e-06,
+      "loss": 0.8798,
+      "step": 16666
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.70353610727673e-06,
+      "loss": 0.7128,
+      "step": 16667
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.702391835604479e-06,
+      "loss": 0.7719,
+      "step": 16668
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.701247632946425e-06,
+      "loss": 0.7858,
+      "step": 16669
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.700103499320948e-06,
+      "loss": 0.7145,
+      "step": 16670
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.698959434746421e-06,
+      "loss": 0.8301,
+      "step": 16671
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6978154392412186e-06,
+      "loss": 0.7912,
+      "step": 16672
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.696671512823706e-06,
+      "loss": 0.7789,
+      "step": 16673
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.695527655512256e-06,
+      "loss": 0.8755,
+      "step": 16674
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.694383867325238e-06,
+      "loss": 0.7502,
+      "step": 16675
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.693240148281025e-06,
+      "loss": 0.7654,
+      "step": 16676
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.692096498397974e-06,
+      "loss": 0.8833,
+      "step": 16677
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.690952917694455e-06,
+      "loss": 0.7511,
+      "step": 16678
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.689809406188832e-06,
+      "loss": 0.7392,
+      "step": 16679
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.688665963899473e-06,
+      "loss": 0.6909,
+      "step": 16680
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.687522590844734e-06,
+      "loss": 0.7835,
+      "step": 16681
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.68637928704298e-06,
+      "loss": 0.7452,
+      "step": 16682
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6852360525125686e-06,
+      "loss": 0.6892,
+      "step": 16683
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.684092887271857e-06,
+      "loss": 0.8269,
+      "step": 16684
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6829497913392055e-06,
+      "loss": 0.7648,
+      "step": 16685
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.681806764732976e-06,
+      "loss": 0.7797,
+      "step": 16686
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.680663807471514e-06,
+      "loss": 0.6892,
+      "step": 16687
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6795209195731785e-06,
+      "loss": 0.7456,
+      "step": 16688
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6783781010563275e-06,
+      "loss": 0.7395,
+      "step": 16689
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.677235351939305e-06,
+      "loss": 0.7908,
+      "step": 16690
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.676092672240465e-06,
+      "loss": 0.6173,
+      "step": 16691
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6749500619781595e-06,
+      "loss": 0.6764,
+      "step": 16692
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.673807521170741e-06,
+      "loss": 0.7508,
+      "step": 16693
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.672665049836548e-06,
+      "loss": 0.8503,
+      "step": 16694
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.671522647993937e-06,
+      "loss": 0.8853,
+      "step": 16695
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6703803156612395e-06,
+      "loss": 0.9161,
+      "step": 16696
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.669238052856816e-06,
+      "loss": 0.8257,
+      "step": 16697
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.668095859598999e-06,
+      "loss": 0.7408,
+      "step": 16698
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.666953735906138e-06,
+      "loss": 0.7922,
+      "step": 16699
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.665811681796567e-06,
+      "loss": 0.8064,
+      "step": 16700
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.66466969728863e-06,
+      "loss": 0.7863,
+      "step": 16701
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.663527782400664e-06,
+      "loss": 0.7625,
+      "step": 16702
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.662385937151013e-06,
+      "loss": 0.6928,
+      "step": 16703
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.661244161558004e-06,
+      "loss": 0.7458,
+      "step": 16704
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.660102455639978e-06,
+      "loss": 0.7715,
+      "step": 16705
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.658960819415267e-06,
+      "loss": 0.8116,
+      "step": 16706
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.657819252902209e-06,
+      "loss": 0.8463,
+      "step": 16707
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.65667775611913e-06,
+      "loss": 0.8502,
+      "step": 16708
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.655536329084368e-06,
+      "loss": 0.7556,
+      "step": 16709
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.654394971816239e-06,
+      "loss": 0.7509,
+      "step": 16710
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.653253684333091e-06,
+      "loss": 0.7836,
+      "step": 16711
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.652112466653237e-06,
+      "loss": 0.8093,
+      "step": 16712
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.650971318795013e-06,
+      "loss": 0.8244,
+      "step": 16713
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.649830240776733e-06,
+      "loss": 0.7504,
+      "step": 16714
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.648689232616735e-06,
+      "loss": 0.7359,
+      "step": 16715
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.647548294333332e-06,
+      "loss": 0.7373,
+      "step": 16716
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.646407425944853e-06,
+      "loss": 0.8675,
+      "step": 16717
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.645266627469612e-06,
+      "loss": 0.638,
+      "step": 16718
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.644125898925932e-06,
+      "loss": 0.7683,
+      "step": 16719
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.642985240332131e-06,
+      "loss": 0.7606,
+      "step": 16720
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6418446517065316e-06,
+      "loss": 0.7682,
+      "step": 16721
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.640704133067443e-06,
+      "loss": 0.8249,
+      "step": 16722
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.639563684433182e-06,
+      "loss": 0.7401,
+      "step": 16723
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.638423305822066e-06,
+      "loss": 0.7728,
+      "step": 16724
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.637282997252409e-06,
+      "loss": 0.7462,
+      "step": 16725
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.636142758742518e-06,
+      "loss": 0.6158,
+      "step": 16726
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.635002590310708e-06,
+      "loss": 0.8909,
+      "step": 16727
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.633862491975284e-06,
+      "loss": 0.8144,
+      "step": 16728
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6327224637545574e-06,
+      "loss": 0.8267,
+      "step": 16729
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.631582505666835e-06,
+      "loss": 0.6362,
+      "step": 16730
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.630442617730427e-06,
+      "loss": 0.6921,
+      "step": 16731
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.629302799963633e-06,
+      "loss": 0.7196,
+      "step": 16732
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.628163052384759e-06,
+      "loss": 0.666,
+      "step": 16733
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.62702337501211e-06,
+      "loss": 0.7633,
+      "step": 16734
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6258837678639845e-06,
+      "loss": 0.7048,
+      "step": 16735
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.624744230958683e-06,
+      "loss": 0.7847,
+      "step": 16736
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.623604764314507e-06,
+      "loss": 0.7902,
+      "step": 16737
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.622465367949759e-06,
+      "loss": 0.7634,
+      "step": 16738
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.621326041882727e-06,
+      "loss": 0.697,
+      "step": 16739
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.620186786131713e-06,
+      "loss": 0.7168,
+      "step": 16740
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.619047600715011e-06,
+      "loss": 0.7041,
+      "step": 16741
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.617908485650918e-06,
+      "loss": 0.7078,
+      "step": 16742
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.616769440957719e-06,
+      "loss": 0.8121,
+      "step": 16743
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.6156304666537166e-06,
+      "loss": 0.6345,
+      "step": 16744
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.614491562757185e-06,
+      "loss": 0.6923,
+      "step": 16745
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.613352729286432e-06,
+      "loss": 0.7616,
+      "step": 16746
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.6122139662597345e-06,
+      "loss": 0.7747,
+      "step": 16747
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.611075273695385e-06,
+      "loss": 0.849,
+      "step": 16748
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.609936651611662e-06,
+      "loss": 0.7246,
+      "step": 16749
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.608798100026858e-06,
+      "loss": 0.7193,
+      "step": 16750
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.607659618959253e-06,
+      "loss": 0.7968,
+      "step": 16751
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.6065212084271344e-06,
+      "loss": 0.859,
+      "step": 16752
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.6053828684487765e-06,
+      "loss": 0.698,
+      "step": 16753
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.604244599042462e-06,
+      "loss": 0.7692,
+      "step": 16754
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.603106400226472e-06,
+      "loss": 0.7499,
+      "step": 16755
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.601968272019087e-06,
+      "loss": 0.7245,
+      "step": 16756
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.600830214438577e-06,
+      "loss": 0.7461,
+      "step": 16757
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.599692227503224e-06,
+      "loss": 0.6477,
+      "step": 16758
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.598554311231293e-06,
+      "loss": 0.7887,
+      "step": 16759
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5974164656410725e-06,
+      "loss": 0.7438,
+      "step": 16760
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.596278690750822e-06,
+      "loss": 0.7595,
+      "step": 16761
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.595140986578823e-06,
+      "loss": 0.8595,
+      "step": 16762
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5940033531433314e-06,
+      "loss": 0.749,
+      "step": 16763
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5928657904626325e-06,
+      "loss": 0.7337,
+      "step": 16764
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.591728298554984e-06,
+      "loss": 0.7593,
+      "step": 16765
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.590590877438657e-06,
+      "loss": 0.6736,
+      "step": 16766
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.589453527131912e-06,
+      "loss": 0.7407,
+      "step": 16767
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.588316247653017e-06,
+      "loss": 0.6061,
+      "step": 16768
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.587179039020235e-06,
+      "loss": 0.6683,
+      "step": 16769
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.586041901251832e-06,
+      "loss": 0.8612,
+      "step": 16770
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.584904834366061e-06,
+      "loss": 0.6365,
+      "step": 16771
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.583767838381186e-06,
+      "loss": 0.8166,
+      "step": 16772
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.582630913315465e-06,
+      "loss": 0.8692,
+      "step": 16773
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.581494059187162e-06,
+      "loss": 0.8037,
+      "step": 16774
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.580357276014522e-06,
+      "loss": 0.8279,
+      "step": 16775
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5792205638158105e-06,
+      "loss": 0.8018,
+      "step": 16776
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.578083922609273e-06,
+      "loss": 0.8395,
+      "step": 16777
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.576947352413167e-06,
+      "loss": 0.7921,
+      "step": 16778
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.575810853245744e-06,
+      "loss": 0.6703,
+      "step": 16779
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.574674425125259e-06,
+      "loss": 0.6781,
+      "step": 16780
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.573538068069954e-06,
+      "loss": 0.7686,
+      "step": 16781
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.572401782098081e-06,
+      "loss": 0.8428,
+      "step": 16782
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5712655672278905e-06,
+      "loss": 0.8374,
+      "step": 16783
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5701294234776215e-06,
+      "loss": 0.7352,
+      "step": 16784
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.568993350865522e-06,
+      "loss": 0.7206,
+      "step": 16785
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5678573494098384e-06,
+      "loss": 0.8259,
+      "step": 16786
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.566721419128815e-06,
+      "loss": 0.7292,
+      "step": 16787
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.565585560040688e-06,
+      "loss": 0.7392,
+      "step": 16788
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.564449772163704e-06,
+      "loss": 0.8912,
+      "step": 16789
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.563314055516089e-06,
+      "loss": 0.7317,
+      "step": 16790
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5621784101161e-06,
+      "loss": 0.684,
+      "step": 16791
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5610428359819605e-06,
+      "loss": 0.8258,
+      "step": 16792
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.559907333131915e-06,
+      "loss": 0.7243,
+      "step": 16793
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5587719015841856e-06,
+      "loss": 0.7629,
+      "step": 16794
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.557636541357023e-06,
+      "loss": 0.7487,
+      "step": 16795
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.556501252468647e-06,
+      "loss": 0.6113,
+      "step": 16796
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.555366034937295e-06,
+      "loss": 0.8984,
+      "step": 16797
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5542308887811934e-06,
+      "loss": 0.8135,
+      "step": 16798
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.553095814018572e-06,
+      "loss": 0.8969,
+      "step": 16799
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.551960810667658e-06,
+      "loss": 0.8508,
+      "step": 16800
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.550825878746686e-06,
+      "loss": 0.9321,
+      "step": 16801
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.549691018273871e-06,
+      "loss": 0.6208,
+      "step": 16802
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.548556229267441e-06,
+      "loss": 0.8092,
+      "step": 16803
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.547421511745619e-06,
+      "loss": 0.7311,
+      "step": 16804
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.546286865726633e-06,
+      "loss": 0.7364,
+      "step": 16805
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.545152291228696e-06,
+      "loss": 0.7863,
+      "step": 16806
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5440177882700345e-06,
+      "loss": 0.7894,
+      "step": 16807
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.542883356868856e-06,
+      "loss": 0.9111,
+      "step": 16808
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.541748997043392e-06,
+      "loss": 0.6581,
+      "step": 16809
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.540614708811849e-06,
+      "loss": 0.7703,
+      "step": 16810
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.53948049219245e-06,
+      "loss": 0.9612,
+      "step": 16811
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5383463472033985e-06,
+      "loss": 0.8085,
+      "step": 16812
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.537212273862922e-06,
+      "loss": 0.7201,
+      "step": 16813
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.536078272189218e-06,
+      "loss": 0.7236,
+      "step": 16814
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.534944342200508e-06,
+      "loss": 0.7233,
+      "step": 16815
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.533810483914994e-06,
+      "loss": 0.7961,
+      "step": 16816
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.532676697350887e-06,
+      "loss": 0.8161,
+      "step": 16817
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5315429825263935e-06,
+      "loss": 0.6313,
+      "step": 16818
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.530409339459724e-06,
+      "loss": 0.8119,
+      "step": 16819
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.529275768169077e-06,
+      "loss": 0.7095,
+      "step": 16820
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.528142268672659e-06,
+      "loss": 0.7074,
+      "step": 16821
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.527008840988676e-06,
+      "loss": 0.7493,
+      "step": 16822
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.525875485135321e-06,
+      "loss": 0.7926,
+      "step": 16823
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.524742201130801e-06,
+      "loss": 0.7751,
+      "step": 16824
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.523608988993317e-06,
+      "loss": 0.7311,
+      "step": 16825
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.52247584874106e-06,
+      "loss": 0.9304,
+      "step": 16826
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.521342780392229e-06,
+      "loss": 0.7254,
+      "step": 16827
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.520209783965026e-06,
+      "loss": 0.6874,
+      "step": 16828
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.519076859477635e-06,
+      "loss": 0.7515,
+      "step": 16829
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.517944006948257e-06,
+      "loss": 0.7462,
+      "step": 16830
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.51681122639508e-06,
+      "loss": 0.7948,
+      "step": 16831
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.515678517836301e-06,
+      "loss": 0.7522,
+      "step": 16832
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.514545881290103e-06,
+      "loss": 0.7533,
+      "step": 16833
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.51341331677468e-06,
+      "loss": 0.7408,
+      "step": 16834
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.51228082430821e-06,
+      "loss": 0.7267,
+      "step": 16835
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.511148403908895e-06,
+      "loss": 0.7666,
+      "step": 16836
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.510016055594907e-06,
+      "loss": 0.7336,
+      "step": 16837
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.50888377938444e-06,
+      "loss": 0.6296,
+      "step": 16838
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.507751575295662e-06,
+      "loss": 0.6003,
+      "step": 16839
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.506619443346775e-06,
+      "loss": 0.8071,
+      "step": 16840
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.505487383555943e-06,
+      "loss": 0.669,
+      "step": 16841
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.504355395941356e-06,
+      "loss": 0.6689,
+      "step": 16842
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.503223480521185e-06,
+      "loss": 0.6665,
+      "step": 16843
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.502091637313609e-06,
+      "loss": 0.7251,
+      "step": 16844
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.500959866336806e-06,
+      "loss": 0.6632,
+      "step": 16845
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.499828167608954e-06,
+      "loss": 0.7452,
+      "step": 16846
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4986965411482185e-06,
+      "loss": 0.7516,
+      "step": 16847
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.497564986972775e-06,
+      "loss": 0.7312,
+      "step": 16848
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.496433505100798e-06,
+      "loss": 0.8476,
+      "step": 16849
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.495302095550457e-06,
+      "loss": 0.9325,
+      "step": 16850
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.494170758339918e-06,
+      "loss": 0.842,
+      "step": 16851
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.493039493487349e-06,
+      "loss": 0.6471,
+      "step": 16852
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4919083010109185e-06,
+      "loss": 0.7117,
+      "step": 16853
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.490777180928797e-06,
+      "loss": 0.7929,
+      "step": 16854
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.489646133259138e-06,
+      "loss": 0.7933,
+      "step": 16855
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.488515158020115e-06,
+      "loss": 0.8253,
+      "step": 16856
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4873842552298775e-06,
+      "loss": 0.7297,
+      "step": 16857
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.486253424906602e-06,
+      "loss": 0.7672,
+      "step": 16858
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.485122667068436e-06,
+      "loss": 0.7048,
+      "step": 16859
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4839919817335474e-06,
+      "loss": 0.8372,
+      "step": 16860
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.482861368920084e-06,
+      "loss": 0.7346,
+      "step": 16861
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4817308286462065e-06,
+      "loss": 0.8306,
+      "step": 16862
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.48060036093007e-06,
+      "loss": 0.7091,
+      "step": 16863
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4794699657898345e-06,
+      "loss": 0.7854,
+      "step": 16864
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.478339643243642e-06,
+      "loss": 0.6511,
+      "step": 16865
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4772093933096485e-06,
+      "loss": 1.0046,
+      "step": 16866
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.476079216006007e-06,
+      "loss": 0.8337,
+      "step": 16867
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.474949111350862e-06,
+      "loss": 0.8121,
+      "step": 16868
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.473819079362366e-06,
+      "loss": 0.7427,
+      "step": 16869
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.472689120058661e-06,
+      "loss": 0.6158,
+      "step": 16870
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.471559233457902e-06,
+      "loss": 0.8831,
+      "step": 16871
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.470429419578221e-06,
+      "loss": 0.6423,
+      "step": 16872
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.469299678437774e-06,
+      "loss": 0.8033,
+      "step": 16873
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.468170010054691e-06,
+      "loss": 0.7798,
+      "step": 16874
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.46704041444712e-06,
+      "loss": 0.6567,
+      "step": 16875
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.465910891633199e-06,
+      "loss": 0.8202,
+      "step": 16876
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.464781441631073e-06,
+      "loss": 0.6629,
+      "step": 16877
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.463652064458869e-06,
+      "loss": 0.7561,
+      "step": 16878
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4625227601347276e-06,
+      "loss": 0.7714,
+      "step": 16879
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.461393528676786e-06,
+      "loss": 0.8003,
+      "step": 16880
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.460264370103181e-06,
+      "loss": 0.8066,
+      "step": 16881
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.459135284432038e-06,
+      "loss": 0.7774,
+      "step": 16882
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.458006271681495e-06,
+      "loss": 0.7988,
+      "step": 16883
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.456877331869674e-06,
+      "loss": 0.7517,
+      "step": 16884
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.455748465014716e-06,
+      "loss": 0.832,
+      "step": 16885
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.454619671134741e-06,
+      "loss": 0.7554,
+      "step": 16886
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.453490950247882e-06,
+      "loss": 0.6963,
+      "step": 16887
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.452362302372253e-06,
+      "loss": 0.7346,
+      "step": 16888
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.451233727525995e-06,
+      "loss": 0.7669,
+      "step": 16889
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.450105225727219e-06,
+      "loss": 0.7137,
+      "step": 16890
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.448976796994057e-06,
+      "loss": 0.7149,
+      "step": 16891
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.447848441344618e-06,
+      "loss": 0.7526,
+      "step": 16892
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.446720158797032e-06,
+      "loss": 0.676,
+      "step": 16893
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4455919493694134e-06,
+      "loss": 0.7742,
+      "step": 16894
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.444463813079885e-06,
+      "loss": 0.6488,
+      "step": 16895
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.443335749946556e-06,
+      "loss": 0.8317,
+      "step": 16896
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.442207759987545e-06,
+      "loss": 0.8078,
+      "step": 16897
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.441079843220965e-06,
+      "loss": 0.8565,
+      "step": 16898
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.439951999664934e-06,
+      "loss": 0.7694,
+      "step": 16899
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.438824229337558e-06,
+      "loss": 0.7764,
+      "step": 16900
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.437696532256951e-06,
+      "loss": 0.6634,
+      "step": 16901
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4365689084412144e-06,
+      "loss": 0.7761,
+      "step": 16902
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4354413579084704e-06,
+      "loss": 0.6925,
+      "step": 16903
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.434313880676813e-06,
+      "loss": 0.8418,
+      "step": 16904
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.43318647676436e-06,
+      "loss": 0.7776,
+      "step": 16905
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.432059146189205e-06,
+      "loss": 0.8585,
+      "step": 16906
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.430931888969455e-06,
+      "loss": 0.84,
+      "step": 16907
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.429804705123215e-06,
+      "loss": 0.6533,
+      "step": 16908
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.428677594668588e-06,
+      "loss": 0.8991,
+      "step": 16909
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.427550557623667e-06,
+      "loss": 0.8584,
+      "step": 16910
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4264235940065536e-06,
+      "loss": 0.8474,
+      "step": 16911
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.42529670383535e-06,
+      "loss": 0.8926,
+      "step": 16912
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.424169887128145e-06,
+      "loss": 0.8505,
+      "step": 16913
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4230431439030395e-06,
+      "loss": 0.7023,
+      "step": 16914
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.421916474178124e-06,
+      "loss": 0.8311,
+      "step": 16915
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.420789877971497e-06,
+      "loss": 0.9109,
+      "step": 16916
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.419663355301245e-06,
+      "loss": 0.6837,
+      "step": 16917
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.418536906185462e-06,
+      "loss": 0.8133,
+      "step": 16918
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.417410530642229e-06,
+      "loss": 0.6199,
+      "step": 16919
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.416284228689647e-06,
+      "loss": 0.9146,
+      "step": 16920
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.415158000345792e-06,
+      "loss": 0.7408,
+      "step": 16921
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.41403184562876e-06,
+      "loss": 0.6753,
+      "step": 16922
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.412905764556626e-06,
+      "loss": 0.7869,
+      "step": 16923
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.411779757147476e-06,
+      "loss": 0.7958,
+      "step": 16924
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4106538234193936e-06,
+      "loss": 0.7797,
+      "step": 16925
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4095279633904665e-06,
+      "loss": 0.7608,
+      "step": 16926
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.408402177078762e-06,
+      "loss": 0.7873,
+      "step": 16927
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.407276464502366e-06,
+      "loss": 0.6797,
+      "step": 16928
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.406150825679355e-06,
+      "loss": 0.7032,
+      "step": 16929
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.405025260627809e-06,
+      "loss": 0.8616,
+      "step": 16930
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.403899769365795e-06,
+      "loss": 0.7485,
+      "step": 16931
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.402774351911395e-06,
+      "loss": 0.8211,
+      "step": 16932
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.401649008282673e-06,
+      "loss": 0.7573,
+      "step": 16933
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.400523738497711e-06,
+      "loss": 0.7623,
+      "step": 16934
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.399398542574571e-06,
+      "loss": 0.662,
+      "step": 16935
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.39827342053133e-06,
+      "loss": 0.7794,
+      "step": 16936
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.397148372386043e-06,
+      "loss": 0.6576,
+      "step": 16937
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.396023398156794e-06,
+      "loss": 0.9127,
+      "step": 16938
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.3948984978616355e-06,
+      "loss": 0.6275,
+      "step": 16939
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.3937736715186415e-06,
+      "loss": 0.7567,
+      "step": 16940
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.392648919145867e-06,
+      "loss": 0.7954,
+      "step": 16941
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.391524240761376e-06,
+      "loss": 0.7545,
+      "step": 16942
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.390399636383231e-06,
+      "loss": 0.7861,
+      "step": 16943
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.3892751060294966e-06,
+      "loss": 0.7629,
+      "step": 16944
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.3881506497182225e-06,
+      "loss": 0.6595,
+      "step": 16945
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.387026267467469e-06,
+      "loss": 0.8798,
+      "step": 16946
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.385901959295293e-06,
+      "loss": 0.8119,
+      "step": 16947
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.384777725219754e-06,
+      "loss": 0.778,
+      "step": 16948
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.3836535652589e-06,
+      "loss": 0.6496,
+      "step": 16949
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.382529479430786e-06,
+      "loss": 0.7492,
+      "step": 16950
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.38140546775346e-06,
+      "loss": 0.8863,
+      "step": 16951
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.380281530244974e-06,
+      "loss": 0.7531,
+      "step": 16952
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.379157666923378e-06,
+      "loss": 0.8359,
+      "step": 16953
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.378033877806724e-06,
+      "loss": 0.7376,
+      "step": 16954
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.37691016291305e-06,
+      "loss": 0.742,
+      "step": 16955
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.375786522260407e-06,
+      "loss": 0.7351,
+      "step": 16956
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.374662955866841e-06,
+      "loss": 0.6307,
+      "step": 16957
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.373539463750388e-06,
+      "loss": 0.7974,
+      "step": 16958
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.372416045929093e-06,
+      "loss": 0.7513,
+      "step": 16959
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.371292702420998e-06,
+      "loss": 0.7116,
+      "step": 16960
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.370169433244148e-06,
+      "loss": 0.7124,
+      "step": 16961
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.369046238416569e-06,
+      "loss": 0.8017,
+      "step": 16962
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.367923117956309e-06,
+      "loss": 0.8414,
+      "step": 16963
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.366800071881393e-06,
+      "loss": 0.8315,
+      "step": 16964
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.365677100209868e-06,
+      "loss": 0.7371,
+      "step": 16965
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.3645542029597594e-06,
+      "loss": 0.7813,
+      "step": 16966
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.363431380149104e-06,
+      "loss": 0.8054,
+      "step": 16967
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.362308631795925e-06,
+      "loss": 0.7757,
+      "step": 16968
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.361185957918264e-06,
+      "loss": 0.8255,
+      "step": 16969
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.360063358534141e-06,
+      "loss": 0.8532,
+      "step": 16970
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.35894083366159e-06,
+      "loss": 0.805,
+      "step": 16971
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.357818383318629e-06,
+      "loss": 0.7354,
+      "step": 16972
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.356696007523288e-06,
+      "loss": 0.6535,
+      "step": 16973
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.355573706293591e-06,
+      "loss": 0.7611,
+      "step": 16974
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.354451479647564e-06,
+      "loss": 0.7059,
+      "step": 16975
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.353329327603222e-06,
+      "loss": 0.6358,
+      "step": 16976
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.3522072501785884e-06,
+      "loss": 0.7958,
+      "step": 16977
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.351085247391681e-06,
+      "loss": 0.754,
+      "step": 16978
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.3499633192605245e-06,
+      "loss": 0.6447,
+      "step": 16979
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.348841465803125e-06,
+      "loss": 0.8122,
+      "step": 16980
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.34771968703751e-06,
+      "loss": 0.6523,
+      "step": 16981
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.346597982981676e-06,
+      "loss": 0.7358,
+      "step": 16982
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.345476353653656e-06,
+      "loss": 0.8999,
+      "step": 16983
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.344354799071451e-06,
+      "loss": 0.7096,
+      "step": 16984
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.343233319253076e-06,
+      "loss": 0.7673,
+      "step": 16985
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.342111914216532e-06,
+      "loss": 0.7895,
+      "step": 16986
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.340990583979841e-06,
+      "loss": 0.9322,
+      "step": 16987
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.339869328561e-06,
+      "loss": 0.7146,
+      "step": 16988
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.338748147978022e-06,
+      "loss": 0.83,
+      "step": 16989
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.337627042248904e-06,
+      "loss": 0.7997,
+      "step": 16990
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.336506011391653e-06,
+      "loss": 0.7215,
+      "step": 16991
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.3353850554242715e-06,
+      "loss": 0.7344,
+      "step": 16992
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.334264174364766e-06,
+      "loss": 0.8238,
+      "step": 16993
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.333143368231126e-06,
+      "loss": 0.7525,
+      "step": 16994
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.332022637041356e-06,
+      "loss": 0.631,
+      "step": 16995
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.330901980813459e-06,
+      "loss": 0.7725,
+      "step": 16996
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.329781399565419e-06,
+      "loss": 0.7676,
+      "step": 16997
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.328660893315238e-06,
+      "loss": 0.592,
+      "step": 16998
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.327540462080916e-06,
+      "loss": 0.7795,
+      "step": 16999
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.326420105880432e-06,
+      "loss": 0.7503,
+      "step": 17000
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.325299824731786e-06,
+      "loss": 0.7375,
+      "step": 17001
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.324179618652971e-06,
+      "loss": 0.764,
+      "step": 17002
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.323059487661969e-06,
+      "loss": 0.7931,
+      "step": 17003
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.32193943177677e-06,
+      "loss": 0.6663,
+      "step": 17004
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.320819451015363e-06,
+      "loss": 0.8123,
+      "step": 17005
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.319699545395736e-06,
+      "loss": 0.786,
+      "step": 17006
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.318579714935866e-06,
+      "loss": 0.7729,
+      "step": 17007
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.317459959653741e-06,
+      "loss": 0.806,
+      "step": 17008
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.316340279567335e-06,
+      "loss": 0.7437,
+      "step": 17009
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.315220674694643e-06,
+      "loss": 0.7979,
+      "step": 17010
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.314101145053634e-06,
+      "loss": 0.922,
+      "step": 17011
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.312981690662293e-06,
+      "loss": 0.7918,
+      "step": 17012
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.311862311538583e-06,
+      "loss": 0.805,
+      "step": 17013
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.3107430077004984e-06,
+      "loss": 0.9345,
+      "step": 17014
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.3096237791660014e-06,
+      "loss": 0.8043,
+      "step": 17015
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.308504625953072e-06,
+      "loss": 0.7188,
+      "step": 17016
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.3073855480796735e-06,
+      "loss": 0.7477,
+      "step": 17017
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.30626654556379e-06,
+      "loss": 0.8352,
+      "step": 17018
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.30514761842338e-06,
+      "loss": 0.6972,
+      "step": 17019
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.30402876667642e-06,
+      "loss": 0.7741,
+      "step": 17020
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.3029099903408695e-06,
+      "loss": 0.9006,
+      "step": 17021
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.301791289434699e-06,
+      "loss": 0.8044,
+      "step": 17022
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.300672663975875e-06,
+      "loss": 0.7087,
+      "step": 17023
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.299554113982362e-06,
+      "loss": 0.8095,
+      "step": 17024
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.298435639472115e-06,
+      "loss": 0.8092,
+      "step": 17025
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.297317240463102e-06,
+      "loss": 0.7585,
+      "step": 17026
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.29619891697328e-06,
+      "loss": 0.8289,
+      "step": 17027
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.295080669020614e-06,
+      "loss": 0.9718,
+      "step": 17028
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.293962496623051e-06,
+      "loss": 0.8068,
+      "step": 17029
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.292844399798559e-06,
+      "loss": 0.796,
+      "step": 17030
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.29172637856508e-06,
+      "loss": 0.6672,
+      "step": 17031
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2906084329405825e-06,
+      "loss": 0.8225,
+      "step": 17032
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.28949056294301e-06,
+      "loss": 0.878,
+      "step": 17033
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.288372768590317e-06,
+      "loss": 0.649,
+      "step": 17034
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.287255049900453e-06,
+      "loss": 0.7449,
+      "step": 17035
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2861374068913654e-06,
+      "loss": 0.8244,
+      "step": 17036
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.285019839581005e-06,
+      "loss": 0.8251,
+      "step": 17037
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.283902347987322e-06,
+      "loss": 0.6602,
+      "step": 17038
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.282784932128253e-06,
+      "loss": 0.756,
+      "step": 17039
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2816675920217475e-06,
+      "loss": 0.7609,
+      "step": 17040
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.280550327685752e-06,
+      "loss": 0.6257,
+      "step": 17041
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2794331391382e-06,
+      "loss": 0.7504,
+      "step": 17042
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.278316026397037e-06,
+      "loss": 0.6779,
+      "step": 17043
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.277198989480202e-06,
+      "loss": 0.7366,
+      "step": 17044
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.276082028405638e-06,
+      "loss": 0.7627,
+      "step": 17045
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.274965143191272e-06,
+      "loss": 0.8116,
+      "step": 17046
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.273848333855045e-06,
+      "loss": 0.7958,
+      "step": 17047
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.272731600414895e-06,
+      "loss": 0.7662,
+      "step": 17048
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.27161494288875e-06,
+      "loss": 0.7147,
+      "step": 17049
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.270498361294542e-06,
+      "loss": 0.8457,
+      "step": 17050
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.269381855650209e-06,
+      "loss": 0.7312,
+      "step": 17051
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.268265425973672e-06,
+      "loss": 0.7381,
+      "step": 17052
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2671490722828625e-06,
+      "loss": 0.7357,
+      "step": 17053
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.266032794595708e-06,
+      "loss": 0.876,
+      "step": 17054
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.264916592930139e-06,
+      "loss": 0.8585,
+      "step": 17055
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.263800467304072e-06,
+      "loss": 0.8416,
+      "step": 17056
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.26268441773544e-06,
+      "loss": 0.829,
+      "step": 17057
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.261568444242151e-06,
+      "loss": 0.7083,
+      "step": 17058
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.260452546842143e-06,
+      "loss": 0.7116,
+      "step": 17059
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.259336725553323e-06,
+      "loss": 0.7995,
+      "step": 17060
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2582209803936215e-06,
+      "loss": 0.7336,
+      "step": 17061
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.257105311380939e-06,
+      "loss": 0.7712,
+      "step": 17062
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.255989718533212e-06,
+      "loss": 0.7103,
+      "step": 17063
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.254874201868341e-06,
+      "loss": 0.8651,
+      "step": 17064
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.253758761404246e-06,
+      "loss": 0.7519,
+      "step": 17065
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2526433971588366e-06,
+      "loss": 0.6692,
+      "step": 17066
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.251528109150024e-06,
+      "loss": 0.8794,
+      "step": 17067
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2504128973957205e-06,
+      "loss": 0.792,
+      "step": 17068
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.249297761913839e-06,
+      "loss": 0.7132,
+      "step": 17069
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.248182702722278e-06,
+      "loss": 0.7315,
+      "step": 17070
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.247067719838948e-06,
+      "loss": 0.7263,
+      "step": 17071
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.245952813281754e-06,
+      "loss": 0.7991,
+      "step": 17072
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.244837983068605e-06,
+      "loss": 0.7093,
+      "step": 17073
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.243723229217397e-06,
+      "loss": 0.8439,
+      "step": 17074
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2426085517460325e-06,
+      "loss": 0.8181,
+      "step": 17075
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.241493950672414e-06,
+      "loss": 0.6324,
+      "step": 17076
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.240379426014444e-06,
+      "loss": 0.8412,
+      "step": 17077
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.239264977790011e-06,
+      "loss": 0.7284,
+      "step": 17078
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.238150606017021e-06,
+      "loss": 0.7081,
+      "step": 17079
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.237036310713359e-06,
+      "loss": 0.6955,
+      "step": 17080
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.235922091896932e-06,
+      "loss": 0.7599,
+      "step": 17081
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.234807949585623e-06,
+      "loss": 0.7858,
+      "step": 17082
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.233693883797332e-06,
+      "loss": 0.6625,
+      "step": 17083
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.232579894549939e-06,
+      "loss": 0.6806,
+      "step": 17084
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.231465981861341e-06,
+      "loss": 0.7566,
+      "step": 17085
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.230352145749422e-06,
+      "loss": 0.7023,
+      "step": 17086
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.229238386232076e-06,
+      "loss": 0.9145,
+      "step": 17087
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2281247033271795e-06,
+      "loss": 0.7432,
+      "step": 17088
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.227011097052621e-06,
+      "loss": 0.8197,
+      "step": 17089
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.225897567426287e-06,
+      "loss": 0.7619,
+      "step": 17090
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.224784114466051e-06,
+      "loss": 0.7341,
+      "step": 17091
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2236707381898e-06,
+      "loss": 0.6476,
+      "step": 17092
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.222557438615411e-06,
+      "loss": 0.6904,
+      "step": 17093
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.221444215760767e-06,
+      "loss": 1.028,
+      "step": 17094
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.220331069643737e-06,
+      "loss": 0.8419,
+      "step": 17095
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.219218000282204e-06,
+      "loss": 0.6062,
+      "step": 17096
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.218105007694037e-06,
+      "loss": 0.6904,
+      "step": 17097
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.216992091897111e-06,
+      "loss": 0.766,
+      "step": 17098
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.215879252909298e-06,
+      "loss": 0.8171,
+      "step": 17099
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.214766490748473e-06,
+      "loss": 0.9028,
+      "step": 17100
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.213653805432499e-06,
+      "loss": 0.8335,
+      "step": 17101
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.212541196979248e-06,
+      "loss": 0.8071,
+      "step": 17102
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.211428665406584e-06,
+      "loss": 0.7891,
+      "step": 17103
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.21031621073238e-06,
+      "loss": 0.86,
+      "step": 17104
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.209203832974492e-06,
+      "loss": 0.8353,
+      "step": 17105
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.208091532150792e-06,
+      "loss": 0.8681,
+      "step": 17106
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.20697930827913e-06,
+      "loss": 0.6971,
+      "step": 17107
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2058671613773805e-06,
+      "loss": 0.8954,
+      "step": 17108
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2047550914633935e-06,
+      "loss": 0.8403,
+      "step": 17109
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.203643098555036e-06,
+      "loss": 0.6664,
+      "step": 17110
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.202531182670151e-06,
+      "loss": 0.7115,
+      "step": 17111
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.201419343826611e-06,
+      "loss": 0.7632,
+      "step": 17112
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.200307582042261e-06,
+      "loss": 0.6439,
+      "step": 17113
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.19919589733496e-06,
+      "loss": 0.7574,
+      "step": 17114
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.198084289722553e-06,
+      "loss": 0.7418,
+      "step": 17115
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.196972759222895e-06,
+      "loss": 0.5851,
+      "step": 17116
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.195861305853837e-06,
+      "loss": 0.6948,
+      "step": 17117
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.19474992963323e-06,
+      "loss": 0.8007,
+      "step": 17118
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.193638630578914e-06,
+      "loss": 0.7494,
+      "step": 17119
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.192527408708739e-06,
+      "loss": 0.8336,
+      "step": 17120
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.19141626404055e-06,
+      "loss": 0.9433,
+      "step": 17121
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.190305196592193e-06,
+      "loss": 0.6926,
+      "step": 17122
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.189194206381505e-06,
+      "loss": 0.7736,
+      "step": 17123
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.188083293426332e-06,
+      "loss": 0.7398,
+      "step": 17124
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1869724577445055e-06,
+      "loss": 0.727,
+      "step": 17125
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.185861699353877e-06,
+      "loss": 0.7572,
+      "step": 17126
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1847510182722735e-06,
+      "loss": 0.8382,
+      "step": 17127
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.183640414517539e-06,
+      "loss": 0.7559,
+      "step": 17128
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1825298881075e-06,
+      "loss": 0.6724,
+      "step": 17129
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1814194390599945e-06,
+      "loss": 0.7497,
+      "step": 17130
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.180309067392855e-06,
+      "loss": 0.7331,
+      "step": 17131
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.179198773123917e-06,
+      "loss": 0.8856,
+      "step": 17132
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1780885562710014e-06,
+      "loss": 0.8127,
+      "step": 17133
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.176978416851941e-06,
+      "loss": 0.8678,
+      "step": 17134
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1758683548845676e-06,
+      "loss": 0.6921,
+      "step": 17135
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.174758370386699e-06,
+      "loss": 0.7619,
+      "step": 17136
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1736484633761665e-06,
+      "loss": 0.7466,
+      "step": 17137
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1725386338707896e-06,
+      "loss": 0.7602,
+      "step": 17138
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.171428881888398e-06,
+      "loss": 0.7774,
+      "step": 17139
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.170319207446806e-06,
+      "loss": 0.7924,
+      "step": 17140
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.169209610563837e-06,
+      "loss": 0.7429,
+      "step": 17141
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.168100091257301e-06,
+      "loss": 0.7061,
+      "step": 17142
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.16699064954503e-06,
+      "loss": 0.7168,
+      "step": 17143
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.165881285444832e-06,
+      "loss": 0.7949,
+      "step": 17144
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.164771998974524e-06,
+      "loss": 0.7754,
+      "step": 17145
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1636627901519155e-06,
+      "loss": 0.6839,
+      "step": 17146
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.162553658994823e-06,
+      "loss": 0.7239,
+      "step": 17147
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1614446055210576e-06,
+      "loss": 0.6345,
+      "step": 17148
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.160335629748432e-06,
+      "loss": 0.8256,
+      "step": 17149
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.159226731694748e-06,
+      "loss": 0.7298,
+      "step": 17150
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.158117911377816e-06,
+      "loss": 0.8192,
+      "step": 17151
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.157009168815443e-06,
+      "loss": 0.8188,
+      "step": 17152
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.155900504025439e-06,
+      "loss": 0.7972,
+      "step": 17153
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.154791917025599e-06,
+      "loss": 0.6872,
+      "step": 17154
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.153683407833734e-06,
+      "loss": 0.8275,
+      "step": 17155
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.152574976467633e-06,
+      "loss": 0.865,
+      "step": 17156
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.151466622945109e-06,
+      "loss": 0.7541,
+      "step": 17157
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.150358347283954e-06,
+      "loss": 0.7548,
+      "step": 17158
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.14925014950197e-06,
+      "loss": 0.7069,
+      "step": 17159
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.148142029616943e-06,
+      "loss": 0.6661,
+      "step": 17160
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1470339876466814e-06,
+      "loss": 0.7149,
+      "step": 17161
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.14592602360897e-06,
+      "loss": 0.8445,
+      "step": 17162
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.144818137521609e-06,
+      "loss": 0.7669,
+      "step": 17163
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1437103294023805e-06,
+      "loss": 0.8601,
+      "step": 17164
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.142602599269077e-06,
+      "loss": 0.6467,
+      "step": 17165
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.141494947139491e-06,
+      "loss": 0.7904,
+      "step": 17166
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.140387373031413e-06,
+      "loss": 0.7046,
+      "step": 17167
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.139279876962618e-06,
+      "loss": 0.8531,
+      "step": 17168
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.138172458950899e-06,
+      "loss": 0.8222,
+      "step": 17169
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1370651190140376e-06,
+      "loss": 0.767,
+      "step": 17170
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1359578571698195e-06,
+      "loss": 0.7596,
+      "step": 17171
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.13485067343602e-06,
+      "loss": 0.6807,
+      "step": 17172
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.133743567830427e-06,
+      "loss": 0.8575,
+      "step": 17173
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1326365403708105e-06,
+      "loss": 0.7415,
+      "step": 17174
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.131529591074952e-06,
+      "loss": 0.643,
+      "step": 17175
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1304227199606285e-06,
+      "loss": 0.8105,
+      "step": 17176
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.129315927045616e-06,
+      "loss": 0.7785,
+      "step": 17177
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1282092123476836e-06,
+      "loss": 0.7476,
+      "step": 17178
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1271025758846075e-06,
+      "loss": 0.7217,
+      "step": 17179
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1259960176741594e-06,
+      "loss": 0.7293,
+      "step": 17180
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.124889537734106e-06,
+      "loss": 0.7454,
+      "step": 17181
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.123783136082218e-06,
+      "loss": 0.7661,
+      "step": 17182
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.122676812736262e-06,
+      "loss": 0.834,
+      "step": 17183
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.121570567714007e-06,
+      "loss": 0.7505,
+      "step": 17184
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.120464401033214e-06,
+      "loss": 0.8327,
+      "step": 17185
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.119358312711651e-06,
+      "loss": 0.7492,
+      "step": 17186
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.11825230276707e-06,
+      "loss": 0.6751,
+      "step": 17187
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.117146371217249e-06,
+      "loss": 0.797,
+      "step": 17188
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.116040518079933e-06,
+      "loss": 0.7795,
+      "step": 17189
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.114934743372891e-06,
+      "loss": 0.722,
+      "step": 17190
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.113829047113868e-06,
+      "loss": 0.818,
+      "step": 17191
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.112723429320636e-06,
+      "loss": 0.9098,
+      "step": 17192
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.111617890010937e-06,
+      "loss": 0.6709,
+      "step": 17193
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.110512429202533e-06,
+      "loss": 0.8906,
+      "step": 17194
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.109407046913169e-06,
+      "loss": 0.8248,
+      "step": 17195
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1083017431606e-06,
+      "loss": 0.8643,
+      "step": 17196
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.107196517962575e-06,
+      "loss": 0.7214,
+      "step": 17197
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.106091371336847e-06,
+      "loss": 0.7028,
+      "step": 17198
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1049863033011535e-06,
+      "loss": 0.8409,
+      "step": 17199
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.103881313873249e-06,
+      "loss": 0.814,
+      "step": 17200
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1027764030708735e-06,
+      "loss": 0.7081,
+      "step": 17201
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.101671570911777e-06,
+      "loss": 0.6758,
+      "step": 17202
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.100566817413693e-06,
+      "loss": 0.7328,
+      "step": 17203
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.099462142594372e-06,
+      "loss": 0.6884,
+      "step": 17204
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0983575464715374e-06,
+      "loss": 0.7311,
+      "step": 17205
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.097253029062947e-06,
+      "loss": 0.5809,
+      "step": 17206
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.096148590386327e-06,
+      "loss": 0.7939,
+      "step": 17207
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0950442304594206e-06,
+      "loss": 0.7663,
+      "step": 17208
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0939399492999475e-06,
+      "loss": 0.711,
+      "step": 17209
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.092835746925659e-06,
+      "loss": 0.7491,
+      "step": 17210
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0917316233542765e-06,
+      "loss": 0.6898,
+      "step": 17211
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.090627578603537e-06,
+      "loss": 0.6548,
+      "step": 17212
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.089523612691165e-06,
+      "loss": 0.9321,
+      "step": 17213
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.088419725634887e-06,
+      "loss": 0.7,
+      "step": 17214
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.087315917452438e-06,
+      "loss": 0.7715,
+      "step": 17215
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0862121881615405e-06,
+      "loss": 0.7925,
+      "step": 17216
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.085108537779915e-06,
+      "loss": 0.8306,
+      "step": 17217
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0840049663252864e-06,
+      "loss": 0.7918,
+      "step": 17218
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0829014738153825e-06,
+      "loss": 0.835,
+      "step": 17219
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.081798060267915e-06,
+      "loss": 0.7121,
+      "step": 17220
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.080694725700609e-06,
+      "loss": 0.8412,
+      "step": 17221
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0795914701311845e-06,
+      "loss": 0.66,
+      "step": 17222
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0784882935773524e-06,
+      "loss": 0.7565,
+      "step": 17223
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.07738519605683e-06,
+      "loss": 0.6791,
+      "step": 17224
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.076282177587339e-06,
+      "loss": 0.7651,
+      "step": 17225
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.075179238186581e-06,
+      "loss": 0.7814,
+      "step": 17226
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.074076377872272e-06,
+      "loss": 0.7188,
+      "step": 17227
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0729735966621256e-06,
+      "loss": 0.6616,
+      "step": 17228
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.071870894573854e-06,
+      "loss": 0.7037,
+      "step": 17229
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.070768271625155e-06,
+      "loss": 0.6889,
+      "step": 17230
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.069665727833746e-06,
+      "loss": 0.6608,
+      "step": 17231
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0685632632173185e-06,
+      "loss": 0.8154,
+      "step": 17232
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.067460877793593e-06,
+      "loss": 0.8773,
+      "step": 17233
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0663585715802625e-06,
+      "loss": 0.757,
+      "step": 17234
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.065256344595034e-06,
+      "loss": 0.8465,
+      "step": 17235
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.064154196855597e-06,
+      "loss": 0.7071,
+      "step": 17236
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.063052128379667e-06,
+      "loss": 0.7305,
+      "step": 17237
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.06195013918493e-06,
+      "loss": 0.7068,
+      "step": 17238
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.06084822928909e-06,
+      "loss": 0.7244,
+      "step": 17239
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.059746398709834e-06,
+      "loss": 0.8535,
+      "step": 17240
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.058644647464861e-06,
+      "loss": 0.7023,
+      "step": 17241
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.057542975571862e-06,
+      "loss": 0.8841,
+      "step": 17242
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.056441383048534e-06,
+      "loss": 0.6723,
+      "step": 17243
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.055339869912559e-06,
+      "loss": 0.7679,
+      "step": 17244
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.054238436181629e-06,
+      "loss": 0.7935,
+      "step": 17245
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0531370818734325e-06,
+      "loss": 0.8478,
+      "step": 17246
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.05203580700566e-06,
+      "loss": 0.7262,
+      "step": 17247
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.050934611595988e-06,
+      "loss": 0.7067,
+      "step": 17248
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.049833495662106e-06,
+      "loss": 0.792,
+      "step": 17249
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.048732459221693e-06,
+      "loss": 0.616,
+      "step": 17250
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.047631502292438e-06,
+      "loss": 0.561,
+      "step": 17251
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.0465306248920096e-06,
+      "loss": 0.8228,
+      "step": 17252
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.045429827038099e-06,
+      "loss": 0.7402,
+      "step": 17253
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.0443291087483674e-06,
+      "loss": 0.8667,
+      "step": 17254
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.043228470040509e-06,
+      "loss": 0.6687,
+      "step": 17255
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.042127910932185e-06,
+      "loss": 0.7289,
+      "step": 17256
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.041027431441079e-06,
+      "loss": 0.8638,
+      "step": 17257
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.039927031584854e-06,
+      "loss": 0.8103,
+      "step": 17258
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.038826711381186e-06,
+      "loss": 0.7925,
+      "step": 17259
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.037726470847746e-06,
+      "loss": 0.7677,
+      "step": 17260
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.0366263100022016e-06,
+      "loss": 0.7242,
+      "step": 17261
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.035526228862218e-06,
+      "loss": 0.816,
+      "step": 17262
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.0344262274454605e-06,
+      "loss": 0.7141,
+      "step": 17263
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.0333263057696e-06,
+      "loss": 0.7229,
+      "step": 17264
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.032226463852292e-06,
+      "loss": 0.8155,
+      "step": 17265
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.031126701711202e-06,
+      "loss": 0.6715,
+      "step": 17266
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.03002701936399e-06,
+      "loss": 0.9249,
+      "step": 17267
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.028927416828321e-06,
+      "loss": 0.8542,
+      "step": 17268
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.027827894121844e-06,
+      "loss": 0.8512,
+      "step": 17269
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.026728451262225e-06,
+      "loss": 0.896,
+      "step": 17270
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.025629088267111e-06,
+      "loss": 0.8353,
+      "step": 17271
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.024529805154161e-06,
+      "loss": 0.7578,
+      "step": 17272
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.023430601941029e-06,
+      "loss": 0.8065,
+      "step": 17273
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.022331478645366e-06,
+      "loss": 0.6475,
+      "step": 17274
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.021232435284821e-06,
+      "loss": 0.8099,
+      "step": 17275
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.020133471877044e-06,
+      "loss": 0.833,
+      "step": 17276
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.0190345884396815e-06,
+      "loss": 0.7918,
+      "step": 17277
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.017935784990387e-06,
+      "loss": 0.7551,
+      "step": 17278
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.0168370615467975e-06,
+      "loss": 0.8979,
+      "step": 17279
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.015738418126565e-06,
+      "loss": 0.6442,
+      "step": 17280
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.014639854747319e-06,
+      "loss": 0.6424,
+      "step": 17281
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.013541371426718e-06,
+      "loss": 0.8543,
+      "step": 17282
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.0124429681823896e-06,
+      "loss": 0.7749,
+      "step": 17283
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.011344645031982e-06,
+      "loss": 0.6928,
+      "step": 17284
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.010246401993121e-06,
+      "loss": 0.7298,
+      "step": 17285
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.009148239083457e-06,
+      "loss": 0.7767,
+      "step": 17286
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.008050156320615e-06,
+      "loss": 0.7768,
+      "step": 17287
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.006952153722236e-06,
+      "loss": 0.833,
+      "step": 17288
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.005854231305945e-06,
+      "loss": 0.7448,
+      "step": 17289
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.004756389089378e-06,
+      "loss": 0.7749,
+      "step": 17290
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.0036586270901624e-06,
+      "loss": 0.7378,
+      "step": 17291
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.0025609453259335e-06,
+      "loss": 0.7681,
+      "step": 17292
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.001463343814309e-06,
+      "loss": 0.7669,
+      "step": 17293
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.000365822572919e-06,
+      "loss": 0.7316,
+      "step": 17294
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.999268381619391e-06,
+      "loss": 0.6877,
+      "step": 17295
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.99817102097135e-06,
+      "loss": 0.6614,
+      "step": 17296
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.99707374064641e-06,
+      "loss": 0.712,
+      "step": 17297
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9959765406622e-06,
+      "loss": 0.6954,
+      "step": 17298
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.994879421036329e-06,
+      "loss": 0.6695,
+      "step": 17299
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.993782381786432e-06,
+      "loss": 0.5293,
+      "step": 17300
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.992685422930111e-06,
+      "loss": 0.7466,
+      "step": 17301
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.991588544484993e-06,
+      "loss": 0.8199,
+      "step": 17302
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.990491746468682e-06,
+      "loss": 0.7787,
+      "step": 17303
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.989395028898797e-06,
+      "loss": 0.7953,
+      "step": 17304
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.98829839179295e-06,
+      "loss": 0.7646,
+      "step": 17305
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.987201835168752e-06,
+      "loss": 0.7127,
+      "step": 17306
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.98610535904381e-06,
+      "loss": 0.7874,
+      "step": 17307
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9850089634357325e-06,
+      "loss": 0.7243,
+      "step": 17308
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.98391264836213e-06,
+      "loss": 0.7637,
+      "step": 17309
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.982816413840601e-06,
+      "loss": 0.6924,
+      "step": 17310
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9817202598887536e-06,
+      "loss": 0.6406,
+      "step": 17311
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.980624186524191e-06,
+      "loss": 0.8649,
+      "step": 17312
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.979528193764518e-06,
+      "loss": 0.7741,
+      "step": 17313
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.978432281627328e-06,
+      "loss": 0.751,
+      "step": 17314
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.977336450130227e-06,
+      "loss": 0.724,
+      "step": 17315
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.976240699290799e-06,
+      "loss": 0.7237,
+      "step": 17316
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.97514502912666e-06,
+      "loss": 0.5989,
+      "step": 17317
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.974049439655392e-06,
+      "loss": 0.7726,
+      "step": 17318
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.972953930894595e-06,
+      "loss": 0.7647,
+      "step": 17319
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9718585028618546e-06,
+      "loss": 0.7638,
+      "step": 17320
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.970763155574766e-06,
+      "loss": 0.8282,
+      "step": 17321
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.96966788905092e-06,
+      "loss": 0.7742,
+      "step": 17322
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9685727033079066e-06,
+      "loss": 0.8601,
+      "step": 17323
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.967477598363308e-06,
+      "loss": 0.6663,
+      "step": 17324
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.966382574234714e-06,
+      "loss": 0.7959,
+      "step": 17325
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.965287630939707e-06,
+      "loss": 0.7583,
+      "step": 17326
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.964192768495876e-06,
+      "loss": 0.7948,
+      "step": 17327
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.963097986920795e-06,
+      "loss": 0.9582,
+      "step": 17328
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9620032862320535e-06,
+      "loss": 0.6903,
+      "step": 17329
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.960908666447217e-06,
+      "loss": 0.7627,
+      "step": 17330
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9598141275838814e-06,
+      "loss": 0.7643,
+      "step": 17331
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.958719669659612e-06,
+      "loss": 0.6676,
+      "step": 17332
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.957625292691991e-06,
+      "loss": 0.5888,
+      "step": 17333
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.956530996698581e-06,
+      "loss": 0.8411,
+      "step": 17334
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.955436781696972e-06,
+      "loss": 0.6254,
+      "step": 17335
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.954342647704723e-06,
+      "loss": 0.6371,
+      "step": 17336
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.953248594739412e-06,
+      "loss": 0.6506,
+      "step": 17337
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.952154622818601e-06,
+      "loss": 0.7087,
+      "step": 17338
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.951060731959861e-06,
+      "loss": 0.6787,
+      "step": 17339
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.94996692218076e-06,
+      "loss": 0.8323,
+      "step": 17340
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.948873193498866e-06,
+      "loss": 0.8578,
+      "step": 17341
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.947779545931734e-06,
+      "loss": 0.7641,
+      "step": 17342
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.946685979496933e-06,
+      "loss": 0.7171,
+      "step": 17343
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9455924942120215e-06,
+      "loss": 0.6924,
+      "step": 17344
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.944499090094567e-06,
+      "loss": 0.8149,
+      "step": 17345
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.943405767162116e-06,
+      "loss": 0.7675,
+      "step": 17346
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.942312525432238e-06,
+      "loss": 0.668,
+      "step": 17347
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.941219364922478e-06,
+      "loss": 0.6838,
+      "step": 17348
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.940126285650396e-06,
+      "loss": 0.7898,
+      "step": 17349
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9390332876335466e-06,
+      "loss": 0.8328,
+      "step": 17350
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.937940370889483e-06,
+      "loss": 0.799,
+      "step": 17351
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.936847535435753e-06,
+      "loss": 0.8742,
+      "step": 17352
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.935754781289904e-06,
+      "loss": 0.8059,
+      "step": 17353
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.934662108469489e-06,
+      "loss": 0.6065,
+      "step": 17354
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.933569516992057e-06,
+      "loss": 0.7602,
+      "step": 17355
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9324770068751456e-06,
+      "loss": 0.8691,
+      "step": 17356
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.931384578136303e-06,
+      "loss": 0.782,
+      "step": 17357
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.930292230793078e-06,
+      "loss": 0.6916,
+      "step": 17358
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9291999648630025e-06,
+      "loss": 0.7818,
+      "step": 17359
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.928107780363622e-06,
+      "loss": 0.6223,
+      "step": 17360
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.927015677312474e-06,
+      "loss": 0.79,
+      "step": 17361
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.925923655727103e-06,
+      "loss": 0.758,
+      "step": 17362
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.924831715625035e-06,
+      "loss": 0.8472,
+      "step": 17363
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9237398570238135e-06,
+      "loss": 0.7137,
+      "step": 17364
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.922648079940962e-06,
+      "loss": 0.8274,
+      "step": 17365
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.921556384394028e-06,
+      "loss": 0.6921,
+      "step": 17366
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.92046477040053e-06,
+      "loss": 0.646,
+      "step": 17367
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.919373237978007e-06,
+      "loss": 0.8488,
+      "step": 17368
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9182817871439804e-06,
+      "loss": 0.9575,
+      "step": 17369
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.917190417915979e-06,
+      "loss": 0.8175,
+      "step": 17370
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.916099130311531e-06,
+      "loss": 0.8583,
+      "step": 17371
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.915007924348165e-06,
+      "loss": 0.6171,
+      "step": 17372
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.913916800043396e-06,
+      "loss": 0.6917,
+      "step": 17373
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.91282575741475e-06,
+      "loss": 0.7307,
+      "step": 17374
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.911734796479747e-06,
+      "loss": 0.7997,
+      "step": 17375
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.910643917255911e-06,
+      "loss": 0.7693,
+      "step": 17376
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.909553119760753e-06,
+      "loss": 0.7967,
+      "step": 17377
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.908462404011797e-06,
+      "loss": 0.663,
+      "step": 17378
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9073717700265465e-06,
+      "loss": 0.8893,
+      "step": 17379
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.906281217822532e-06,
+      "loss": 0.8269,
+      "step": 17380
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.905190747417256e-06,
+      "loss": 0.7573,
+      "step": 17381
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.904100358828234e-06,
+      "loss": 0.8422,
+      "step": 17382
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9030100520729684e-06,
+      "loss": 0.9034,
+      "step": 17383
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.901919827168982e-06,
+      "loss": 0.6998,
+      "step": 17384
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.90082968413377e-06,
+      "loss": 0.7614,
+      "step": 17385
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.899739622984848e-06,
+      "loss": 0.7572,
+      "step": 17386
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.898649643739714e-06,
+      "loss": 0.7655,
+      "step": 17387
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.897559746415873e-06,
+      "loss": 0.8129,
+      "step": 17388
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.896469931030829e-06,
+      "loss": 0.8023,
+      "step": 17389
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.895380197602088e-06,
+      "loss": 0.7849,
+      "step": 17390
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.894290546147139e-06,
+      "loss": 0.7074,
+      "step": 17391
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.893200976683486e-06,
+      "loss": 0.8177,
+      "step": 17392
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.892111489228628e-06,
+      "loss": 0.856,
+      "step": 17393
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.891022083800061e-06,
+      "loss": 0.7105,
+      "step": 17394
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.889932760415275e-06,
+      "loss": 0.9571,
+      "step": 17395
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.888843519091768e-06,
+      "loss": 0.8827,
+      "step": 17396
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.887754359847026e-06,
+      "loss": 0.7214,
+      "step": 17397
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.886665282698544e-06,
+      "loss": 0.776,
+      "step": 17398
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.885576287663809e-06,
+      "loss": 0.7701,
+      "step": 17399
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.884487374760314e-06,
+      "loss": 0.6846,
+      "step": 17400
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.883398544005539e-06,
+      "loss": 0.8008,
+      "step": 17401
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8823097954169705e-06,
+      "loss": 0.703,
+      "step": 17402
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.881221129012098e-06,
+      "loss": 0.7256,
+      "step": 17403
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.880132544808397e-06,
+      "loss": 0.8362,
+      "step": 17404
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.879044042823351e-06,
+      "loss": 0.7558,
+      "step": 17405
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.877955623074441e-06,
+      "loss": 0.827,
+      "step": 17406
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.876867285579149e-06,
+      "loss": 0.9897,
+      "step": 17407
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.875779030354946e-06,
+      "loss": 0.8304,
+      "step": 17408
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.874690857419313e-06,
+      "loss": 0.7536,
+      "step": 17409
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.873602766789715e-06,
+      "loss": 0.6945,
+      "step": 17410
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.872514758483642e-06,
+      "loss": 0.7139,
+      "step": 17411
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.871426832518552e-06,
+      "loss": 0.709,
+      "step": 17412
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.870338988911924e-06,
+      "loss": 0.7771,
+      "step": 17413
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.869251227681221e-06,
+      "loss": 0.6341,
+      "step": 17414
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.868163548843914e-06,
+      "loss": 0.7005,
+      "step": 17415
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.867075952417469e-06,
+      "loss": 0.8264,
+      "step": 17416
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.865988438419357e-06,
+      "loss": 0.8015,
+      "step": 17417
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.864901006867033e-06,
+      "loss": 0.7144,
+      "step": 17418
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.863813657777965e-06,
+      "loss": 0.8688,
+      "step": 17419
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.862726391169613e-06,
+      "loss": 0.6574,
+      "step": 17420
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.861639207059442e-06,
+      "loss": 0.7858,
+      "step": 17421
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8605521054649016e-06,
+      "loss": 0.6976,
+      "step": 17422
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.859465086403457e-06,
+      "loss": 0.6999,
+      "step": 17423
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.858378149892559e-06,
+      "loss": 0.6814,
+      "step": 17424
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.85729129594967e-06,
+      "loss": 0.7316,
+      "step": 17425
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.856204524592234e-06,
+      "loss": 0.8094,
+      "step": 17426
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.855117835837713e-06,
+      "loss": 0.8614,
+      "step": 17427
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.854031229703544e-06,
+      "loss": 0.747,
+      "step": 17428
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8529447062071935e-06,
+      "loss": 0.7662,
+      "step": 17429
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.851858265366098e-06,
+      "loss": 0.659,
+      "step": 17430
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.85077190719771e-06,
+      "loss": 0.8404,
+      "step": 17431
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.849685631719465e-06,
+      "loss": 0.6809,
+      "step": 17432
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.848599438948825e-06,
+      "loss": 0.8566,
+      "step": 17433
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.847513328903217e-06,
+      "loss": 0.7351,
+      "step": 17434
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.846427301600093e-06,
+      "loss": 0.7117,
+      "step": 17435
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.845341357056885e-06,
+      "loss": 0.8606,
+      "step": 17436
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.844255495291036e-06,
+      "loss": 0.8477,
+      "step": 17437
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.843169716319983e-06,
+      "loss": 0.8262,
+      "step": 17438
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8420840201611665e-06,
+      "loss": 0.795,
+      "step": 17439
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.840998406832013e-06,
+      "loss": 0.7455,
+      "step": 17440
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.839912876349961e-06,
+      "loss": 0.8007,
+      "step": 17441
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.838827428732446e-06,
+      "loss": 0.8449,
+      "step": 17442
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.837742063996891e-06,
+      "loss": 0.7357,
+      "step": 17443
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.83665678216073e-06,
+      "loss": 0.6475,
+      "step": 17444
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.835571583241395e-06,
+      "loss": 0.7356,
+      "step": 17445
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.834486467256306e-06,
+      "loss": 0.8601,
+      "step": 17446
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.83340143422289e-06,
+      "loss": 0.8209,
+      "step": 17447
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.832316484158577e-06,
+      "loss": 0.7584,
+      "step": 17448
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.831231617080783e-06,
+      "loss": 0.7719,
+      "step": 17449
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.830146833006931e-06,
+      "loss": 0.6947,
+      "step": 17450
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.829062131954444e-06,
+      "loss": 0.7682,
+      "step": 17451
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.827977513940742e-06,
+      "loss": 0.6684,
+      "step": 17452
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.826892978983238e-06,
+      "loss": 0.6853,
+      "step": 17453
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8258085270993525e-06,
+      "loss": 0.7485,
+      "step": 17454
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.824724158306492e-06,
+      "loss": 0.8048,
+      "step": 17455
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.823639872622084e-06,
+      "loss": 0.8628,
+      "step": 17456
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.82255567006353e-06,
+      "loss": 0.64,
+      "step": 17457
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.821471550648247e-06,
+      "loss": 0.674,
+      "step": 17458
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8203875143936355e-06,
+      "loss": 0.7819,
+      "step": 17459
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.819303561317117e-06,
+      "loss": 0.759,
+      "step": 17460
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.818219691436087e-06,
+      "loss": 0.7934,
+      "step": 17461
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.81713590476796e-06,
+      "loss": 0.8305,
+      "step": 17462
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.816052201330133e-06,
+      "loss": 0.8245,
+      "step": 17463
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.81496858114001e-06,
+      "loss": 0.6056,
+      "step": 17464
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.813885044214996e-06,
+      "loss": 0.846,
+      "step": 17465
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8128015905724926e-06,
+      "loss": 0.6991,
+      "step": 17466
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.811718220229892e-06,
+      "loss": 0.7674,
+      "step": 17467
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8106349332045954e-06,
+      "loss": 0.7737,
+      "step": 17468
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.809551729513999e-06,
+      "loss": 0.7233,
+      "step": 17469
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.808468609175502e-06,
+      "loss": 0.6882,
+      "step": 17470
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.807385572206491e-06,
+      "loss": 0.7698,
+      "step": 17471
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.806302618624363e-06,
+      "loss": 0.7194,
+      "step": 17472
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8052197484465e-06,
+      "loss": 0.8756,
+      "step": 17473
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8041369616903065e-06,
+      "loss": 0.7624,
+      "step": 17474
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.803054258373158e-06,
+      "loss": 0.7157,
+      "step": 17475
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8019716385124505e-06,
+      "loss": 0.8003,
+      "step": 17476
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.800889102125558e-06,
+      "loss": 0.7428,
+      "step": 17477
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.799806649229878e-06,
+      "loss": 0.763,
+      "step": 17478
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.798724279842783e-06,
+      "loss": 0.8569,
+      "step": 17479
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.7976419939816635e-06,
+      "loss": 0.7883,
+      "step": 17480
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.7965597916638895e-06,
+      "loss": 0.7261,
+      "step": 17481
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.795477672906845e-06,
+      "loss": 0.7663,
+      "step": 17482
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.794395637727909e-06,
+      "loss": 0.7202,
+      "step": 17483
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.793313686144458e-06,
+      "loss": 0.8277,
+      "step": 17484
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.7922318181738625e-06,
+      "loss": 0.643,
+      "step": 17485
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.7911500338334985e-06,
+      "loss": 0.8537,
+      "step": 17486
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.790068333140741e-06,
+      "loss": 0.7874,
+      "step": 17487
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.7889867161129534e-06,
+      "loss": 0.7568,
+      "step": 17488
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.787905182767511e-06,
+      "loss": 0.6007,
+      "step": 17489
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.786823733121778e-06,
+      "loss": 0.8202,
+      "step": 17490
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.785742367193128e-06,
+      "loss": 0.579,
+      "step": 17491
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.784661084998919e-06,
+      "loss": 0.6353,
+      "step": 17492
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.7835798865565205e-06,
+      "loss": 0.9147,
+      "step": 17493
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.78249877188329e-06,
+      "loss": 0.7149,
+      "step": 17494
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.7814177409965885e-06,
+      "loss": 0.6816,
+      "step": 17495
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.780336793913781e-06,
+      "loss": 0.8685,
+      "step": 17496
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.779255930652228e-06,
+      "loss": 0.7965,
+      "step": 17497
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.778175151229279e-06,
+      "loss": 0.8607,
+      "step": 17498
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.777094455662292e-06,
+      "loss": 0.7969,
+      "step": 17499
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.776013843968625e-06,
+      "loss": 0.6821,
+      "step": 17500
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.774933316165633e-06,
+      "loss": 0.7223,
+      "step": 17501
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.773852872270661e-06,
+      "loss": 0.7595,
+      "step": 17502
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.772772512301066e-06,
+      "loss": 0.8361,
+      "step": 17503
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.771692236274188e-06,
+      "loss": 0.8791,
+      "step": 17504
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.770612044207389e-06,
+      "loss": 0.7115,
+      "step": 17505
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.769531936118002e-06,
+      "loss": 0.8318,
+      "step": 17506
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.768451912023384e-06,
+      "loss": 0.8711,
+      "step": 17507
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.767371971940864e-06,
+      "loss": 0.7413,
+      "step": 17508
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.766292115887801e-06,
+      "loss": 0.6709,
+      "step": 17509
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.765212343881524e-06,
+      "loss": 0.745,
+      "step": 17510
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.764132655939383e-06,
+      "loss": 0.7996,
+      "step": 17511
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.763053052078705e-06,
+      "loss": 0.7533,
+      "step": 17512
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.761973532316834e-06,
+      "loss": 0.8062,
+      "step": 17513
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7608940966711036e-06,
+      "loss": 0.6782,
+      "step": 17514
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.759814745158853e-06,
+      "loss": 0.7451,
+      "step": 17515
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.758735477797407e-06,
+      "loss": 0.8327,
+      "step": 17516
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7576562946041025e-06,
+      "loss": 0.8386,
+      "step": 17517
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.756577195596268e-06,
+      "loss": 0.9368,
+      "step": 17518
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.755498180791238e-06,
+      "loss": 0.6633,
+      "step": 17519
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.754419250206331e-06,
+      "loss": 0.8337,
+      "step": 17520
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.753340403858883e-06,
+      "loss": 0.6553,
+      "step": 17521
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7522616417662034e-06,
+      "loss": 0.7617,
+      "step": 17522
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7511829639456365e-06,
+      "loss": 0.8512,
+      "step": 17523
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.750104370414489e-06,
+      "loss": 0.8007,
+      "step": 17524
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.74902586119009e-06,
+      "loss": 0.873,
+      "step": 17525
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.747947436289753e-06,
+      "loss": 0.6617,
+      "step": 17526
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7468690957307985e-06,
+      "loss": 0.8425,
+      "step": 17527
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.745790839530544e-06,
+      "loss": 0.8156,
+      "step": 17528
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7447126677063086e-06,
+      "loss": 0.7905,
+      "step": 17529
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.743634580275398e-06,
+      "loss": 0.7541,
+      "step": 17530
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.742556577255129e-06,
+      "loss": 0.7697,
+      "step": 17531
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.741478658662819e-06,
+      "loss": 0.7565,
+      "step": 17532
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.740400824515768e-06,
+      "loss": 0.763,
+      "step": 17533
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.739323074831289e-06,
+      "loss": 0.7698,
+      "step": 17534
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.73824540962669e-06,
+      "loss": 0.8866,
+      "step": 17535
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.737167828919279e-06,
+      "loss": 0.6761,
+      "step": 17536
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.736090332726354e-06,
+      "loss": 0.7003,
+      "step": 17537
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.735012921065228e-06,
+      "loss": 0.9125,
+      "step": 17538
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.733935593953187e-06,
+      "loss": 0.6628,
+      "step": 17539
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.732858351407551e-06,
+      "loss": 0.7928,
+      "step": 17540
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7317811934456046e-06,
+      "loss": 0.7841,
+      "step": 17541
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.730704120084656e-06,
+      "loss": 0.8146,
+      "step": 17542
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.729627131341992e-06,
+      "loss": 0.6869,
+      "step": 17543
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.728550227234912e-06,
+      "loss": 0.6765,
+      "step": 17544
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.72747340778071e-06,
+      "loss": 0.8679,
+      "step": 17545
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7263966729966825e-06,
+      "loss": 0.768,
+      "step": 17546
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.725320022900112e-06,
+      "loss": 0.8042,
+      "step": 17547
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.724243457508292e-06,
+      "loss": 0.7894,
+      "step": 17548
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.723166976838511e-06,
+      "loss": 0.718,
+      "step": 17549
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.722090580908061e-06,
+      "loss": 0.9203,
+      "step": 17550
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.721014269734218e-06,
+      "loss": 0.7685,
+      "step": 17551
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.719938043334276e-06,
+      "loss": 0.6825,
+      "step": 17552
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.718861901725504e-06,
+      "loss": 0.8039,
+      "step": 17553
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.717785844925199e-06,
+      "loss": 0.8374,
+      "step": 17554
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.716709872950632e-06,
+      "loss": 0.7655,
+      "step": 17555
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.715633985819087e-06,
+      "loss": 0.8412,
+      "step": 17556
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7145581835478314e-06,
+      "loss": 0.8897,
+      "step": 17557
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.713482466154155e-06,
+      "loss": 0.6329,
+      "step": 17558
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7124068336553245e-06,
+      "loss": 0.8019,
+      "step": 17559
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.711331286068616e-06,
+      "loss": 0.8487,
+      "step": 17560
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.710255823411297e-06,
+      "loss": 0.6983,
+      "step": 17561
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.709180445700641e-06,
+      "loss": 0.875,
+      "step": 17562
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7081051529539166e-06,
+      "loss": 0.725,
+      "step": 17563
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.707029945188398e-06,
+      "loss": 0.7134,
+      "step": 17564
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.705954822421341e-06,
+      "loss": 0.7148,
+      "step": 17565
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.704879784670015e-06,
+      "loss": 0.9193,
+      "step": 17566
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.703804831951685e-06,
+      "loss": 0.6779,
+      "step": 17567
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.702729964283617e-06,
+      "loss": 0.6569,
+      "step": 17568
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.701655181683064e-06,
+      "loss": 0.8256,
+      "step": 17569
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.700580484167293e-06,
+      "loss": 0.7788,
+      "step": 17570
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6995058717535555e-06,
+      "loss": 0.8126,
+      "step": 17571
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.698431344459112e-06,
+      "loss": 0.8514,
+      "step": 17572
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6973569023012175e-06,
+      "loss": 0.7988,
+      "step": 17573
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.696282545297131e-06,
+      "loss": 0.6482,
+      "step": 17574
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.695208273464097e-06,
+      "loss": 0.8212,
+      "step": 17575
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6941340868193696e-06,
+      "loss": 0.7726,
+      "step": 17576
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.693059985380205e-06,
+      "loss": 0.9023,
+      "step": 17577
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.691985969163844e-06,
+      "loss": 0.6515,
+      "step": 17578
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.690912038187535e-06,
+      "loss": 0.702,
+      "step": 17579
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.689838192468528e-06,
+      "loss": 0.8142,
+      "step": 17580
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.688764432024068e-06,
+      "loss": 0.8358,
+      "step": 17581
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.687690756871393e-06,
+      "loss": 0.7329,
+      "step": 17582
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.686617167027751e-06,
+      "loss": 0.6528,
+      "step": 17583
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.685543662510371e-06,
+      "loss": 0.6701,
+      "step": 17584
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.68447024333651e-06,
+      "loss": 0.6867,
+      "step": 17585
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.68339690952339e-06,
+      "loss": 0.635,
+      "step": 17586
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.682323661088259e-06,
+      "loss": 0.7894,
+      "step": 17587
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.681250498048342e-06,
+      "loss": 0.7366,
+      "step": 17588
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6801774204208775e-06,
+      "loss": 0.7928,
+      "step": 17589
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.679104428223098e-06,
+      "loss": 0.6801,
+      "step": 17590
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.678031521472237e-06,
+      "loss": 0.6521,
+      "step": 17591
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.676958700185518e-06,
+      "loss": 0.7764,
+      "step": 17592
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.675885964380171e-06,
+      "loss": 0.7598,
+      "step": 17593
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6748133140734245e-06,
+      "loss": 0.9085,
+      "step": 17594
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.673740749282507e-06,
+      "loss": 0.7528,
+      "step": 17595
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.672668270024635e-06,
+      "loss": 0.7226,
+      "step": 17596
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.671595876317035e-06,
+      "loss": 0.7836,
+      "step": 17597
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.670523568176929e-06,
+      "loss": 0.8152,
+      "step": 17598
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.669451345621541e-06,
+      "loss": 0.917,
+      "step": 17599
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.668379208668079e-06,
+      "loss": 0.7554,
+      "step": 17600
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.667307157333771e-06,
+      "loss": 0.7197,
+      "step": 17601
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.666235191635819e-06,
+      "loss": 0.7194,
+      "step": 17602
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.665163311591455e-06,
+      "loss": 0.7244,
+      "step": 17603
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.664091517217879e-06,
+      "loss": 0.6952,
+      "step": 17604
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.663019808532311e-06,
+      "loss": 0.8035,
+      "step": 17605
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.66194818555195e-06,
+      "loss": 0.8258,
+      "step": 17606
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.660876648294019e-06,
+      "loss": 0.7738,
+      "step": 17607
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.659805196775715e-06,
+      "loss": 0.7743,
+      "step": 17608
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6587338310142526e-06,
+      "loss": 0.8492,
+      "step": 17609
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.657662551026827e-06,
+      "loss": 0.6976,
+      "step": 17610
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.656591356830648e-06,
+      "loss": 0.7974,
+      "step": 17611
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.655520248442914e-06,
+      "loss": 0.6818,
+      "step": 17612
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.654449225880833e-06,
+      "loss": 0.6191,
+      "step": 17613
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.653378289161595e-06,
+      "loss": 0.6773,
+      "step": 17614
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.652307438302402e-06,
+      "loss": 0.9224,
+      "step": 17615
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.651236673320454e-06,
+      "loss": 0.7928,
+      "step": 17616
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.650165994232939e-06,
+      "loss": 0.7949,
+      "step": 17617
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.649095401057055e-06,
+      "loss": 0.8045,
+      "step": 17618
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.648024893809997e-06,
+      "loss": 0.7189,
+      "step": 17619
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.64695447250895e-06,
+      "loss": 0.7723,
+      "step": 17620
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.645884137171105e-06,
+      "loss": 0.8794,
+      "step": 17621
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6448138878136565e-06,
+      "loss": 0.7853,
+      "step": 17622
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.643743724453782e-06,
+      "loss": 0.674,
+      "step": 17623
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.642673647108672e-06,
+      "loss": 0.7689,
+      "step": 17624
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6416036557955105e-06,
+      "loss": 0.7843,
+      "step": 17625
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.640533750531483e-06,
+      "loss": 0.8098,
+      "step": 17626
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.639463931333763e-06,
+      "loss": 0.7329,
+      "step": 17627
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.638394198219537e-06,
+      "loss": 0.7304,
+      "step": 17628
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.637324551205981e-06,
+      "loss": 0.6856,
+      "step": 17629
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.636254990310276e-06,
+      "loss": 0.756,
+      "step": 17630
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.635185515549592e-06,
+      "loss": 0.7435,
+      "step": 17631
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.634116126941108e-06,
+      "loss": 0.701,
+      "step": 17632
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.63304682450199e-06,
+      "loss": 0.7951,
+      "step": 17633
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6319776082494215e-06,
+      "loss": 0.7113,
+      "step": 17634
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.630908478200562e-06,
+      "loss": 0.9816,
+      "step": 17635
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6298394343725884e-06,
+      "loss": 0.6948,
+      "step": 17636
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.62877047678266e-06,
+      "loss": 0.8767,
+      "step": 17637
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.627701605447949e-06,
+      "loss": 0.7145,
+      "step": 17638
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.626632820385617e-06,
+      "loss": 0.6352,
+      "step": 17639
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6255641216128326e-06,
+      "loss": 0.7617,
+      "step": 17640
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.624495509146749e-06,
+      "loss": 0.7395,
+      "step": 17641
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.623426983004533e-06,
+      "loss": 0.7105,
+      "step": 17642
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.622358543203342e-06,
+      "loss": 0.7202,
+      "step": 17643
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.621290189760339e-06,
+      "loss": 0.8681,
+      "step": 17644
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6202219226926704e-06,
+      "loss": 0.7977,
+      "step": 17645
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.619153742017501e-06,
+      "loss": 0.7227,
+      "step": 17646
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.618085647751973e-06,
+      "loss": 0.7191,
+      "step": 17647
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.617017639913252e-06,
+      "loss": 0.7787,
+      "step": 17648
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6159497185184785e-06,
+      "loss": 0.7536,
+      "step": 17649
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.614881883584811e-06,
+      "loss": 0.6023,
+      "step": 17650
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.613814135129384e-06,
+      "loss": 0.6601,
+      "step": 17651
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.61274647316936e-06,
+      "loss": 0.7406,
+      "step": 17652
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.611678897721874e-06,
+      "loss": 0.7076,
+      "step": 17653
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.610611408804077e-06,
+      "loss": 0.7533,
+      "step": 17654
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6095440064331035e-06,
+      "loss": 0.818,
+      "step": 17655
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.608476690626098e-06,
+      "loss": 0.7375,
+      "step": 17656
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6074094614002015e-06,
+      "loss": 0.6962,
+      "step": 17657
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.606342318772556e-06,
+      "loss": 0.8435,
+      "step": 17658
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.605275262760289e-06,
+      "loss": 0.8257,
+      "step": 17659
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6042082933805425e-06,
+      "loss": 0.7167,
+      "step": 17660
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.603141410650449e-06,
+      "loss": 0.7448,
+      "step": 17661
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6020746145871454e-06,
+      "loss": 0.5356,
+      "step": 17662
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.601007905207756e-06,
+      "loss": 0.7001,
+      "step": 17663
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5999412825294145e-06,
+      "loss": 0.8318,
+      "step": 17664
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5988747465692525e-06,
+      "loss": 0.8807,
+      "step": 17665
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.59780829734439e-06,
+      "loss": 0.8951,
+      "step": 17666
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.596741934871959e-06,
+      "loss": 0.7111,
+      "step": 17667
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5956756591690845e-06,
+      "loss": 0.854,
+      "step": 17668
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.594609470252882e-06,
+      "loss": 0.8157,
+      "step": 17669
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5935433681404795e-06,
+      "loss": 0.8801,
+      "step": 17670
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5924773528489986e-06,
+      "loss": 0.6761,
+      "step": 17671
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.591411424395552e-06,
+      "loss": 0.7172,
+      "step": 17672
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.590345582797261e-06,
+      "loss": 0.5906,
+      "step": 17673
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.589279828071242e-06,
+      "loss": 0.8102,
+      "step": 17674
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.588214160234611e-06,
+      "loss": 0.7873,
+      "step": 17675
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.587148579304477e-06,
+      "loss": 0.7003,
+      "step": 17676
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.586083085297957e-06,
+      "loss": 0.7636,
+      "step": 17677
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.585017678232151e-06,
+      "loss": 0.7236,
+      "step": 17678
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.583952358124183e-06,
+      "loss": 0.8447,
+      "step": 17679
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.58288712499115e-06,
+      "loss": 0.6418,
+      "step": 17680
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.581821978850166e-06,
+      "loss": 0.7649,
+      "step": 17681
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.580756919718323e-06,
+      "loss": 0.7487,
+      "step": 17682
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.579691947612742e-06,
+      "loss": 0.752,
+      "step": 17683
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.578627062550513e-06,
+      "loss": 0.7987,
+      "step": 17684
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.577562264548741e-06,
+      "loss": 0.6746,
+      "step": 17685
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.576497553624523e-06,
+      "loss": 0.6693,
+      "step": 17686
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.575432929794959e-06,
+      "loss": 0.6341,
+      "step": 17687
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5743683930771425e-06,
+      "loss": 0.8186,
+      "step": 17688
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.573303943488175e-06,
+      "loss": 0.695,
+      "step": 17689
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.572239581045144e-06,
+      "loss": 0.7488,
+      "step": 17690
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.571175305765143e-06,
+      "loss": 0.7261,
+      "step": 17691
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.570111117665263e-06,
+      "loss": 0.8566,
+      "step": 17692
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5690470167626e-06,
+      "loss": 0.7959,
+      "step": 17693
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.567983003074231e-06,
+      "loss": 0.707,
+      "step": 17694
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.566919076617254e-06,
+      "loss": 0.7202,
+      "step": 17695
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.56585523740874e-06,
+      "loss": 0.7228,
+      "step": 17696
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.564791485465788e-06,
+      "loss": 0.812,
+      "step": 17697
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.563727820805471e-06,
+      "loss": 0.7781,
+      "step": 17698
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.562664243444877e-06,
+      "loss": 0.7772,
+      "step": 17699
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.561600753401075e-06,
+      "loss": 0.6682,
+      "step": 17700
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.560537350691158e-06,
+      "loss": 0.7346,
+      "step": 17701
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5594740353321895e-06,
+      "loss": 0.6473,
+      "step": 17702
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.558410807341256e-06,
+      "loss": 0.7392,
+      "step": 17703
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.557347666735422e-06,
+      "loss": 0.7351,
+      "step": 17704
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.556284613531764e-06,
+      "loss": 0.84,
+      "step": 17705
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.555221647747354e-06,
+      "loss": 0.6797,
+      "step": 17706
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.554158769399266e-06,
+      "loss": 0.7666,
+      "step": 17707
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.553095978504561e-06,
+      "loss": 0.8465,
+      "step": 17708
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5520332750803075e-06,
+      "loss": 0.9213,
+      "step": 17709
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.550970659143578e-06,
+      "loss": 0.8164,
+      "step": 17710
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.549908130711427e-06,
+      "loss": 0.7423,
+      "step": 17711
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.548845689800923e-06,
+      "loss": 0.7708,
+      "step": 17712
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.547783336429124e-06,
+      "loss": 0.8122,
+      "step": 17713
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.546721070613099e-06,
+      "loss": 0.7742,
+      "step": 17714
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.545658892369897e-06,
+      "loss": 0.7925,
+      "step": 17715
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.54459680171658e-06,
+      "loss": 0.7237,
+      "step": 17716
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5435347986702e-06,
+      "loss": 0.6933,
+      "step": 17717
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.542472883247814e-06,
+      "loss": 0.7365,
+      "step": 17718
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.541411055466474e-06,
+      "loss": 0.7622,
+      "step": 17719
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.540349315343236e-06,
+      "loss": 0.6999,
+      "step": 17720
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.539287662895143e-06,
+      "loss": 0.8041,
+      "step": 17721
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.538226098139249e-06,
+      "loss": 0.6686,
+      "step": 17722
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.537164621092599e-06,
+      "loss": 0.8371,
+      "step": 17723
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.536103231772243e-06,
+      "loss": 0.7708,
+      "step": 17724
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.535041930195218e-06,
+      "loss": 0.738,
+      "step": 17725
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.533980716378577e-06,
+      "loss": 0.6582,
+      "step": 17726
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.532919590339349e-06,
+      "loss": 0.9043,
+      "step": 17727
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.531858552094589e-06,
+      "loss": 0.7027,
+      "step": 17728
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.530797601661324e-06,
+      "loss": 0.8582,
+      "step": 17729
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.529736739056601e-06,
+      "loss": 0.6322,
+      "step": 17730
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.528675964297443e-06,
+      "loss": 0.7472,
+      "step": 17731
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.527615277400901e-06,
+      "loss": 0.9299,
+      "step": 17732
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.526554678383997e-06,
+      "loss": 0.8605,
+      "step": 17733
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.52549416726377e-06,
+      "loss": 0.6831,
+      "step": 17734
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5244337440572415e-06,
+      "loss": 0.7975,
+      "step": 17735
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.523373408781447e-06,
+      "loss": 0.7833,
+      "step": 17736
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.522313161453413e-06,
+      "loss": 0.871,
+      "step": 17737
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.521253002090169e-06,
+      "loss": 0.7423,
+      "step": 17738
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5201929307087336e-06,
+      "loss": 0.8532,
+      "step": 17739
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.519132947326132e-06,
+      "loss": 0.7565,
+      "step": 17740
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.518073051959388e-06,
+      "loss": 0.7775,
+      "step": 17741
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.517013244625526e-06,
+      "loss": 0.8435,
+      "step": 17742
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.515953525341555e-06,
+      "loss": 0.8933,
+      "step": 17743
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.514893894124504e-06,
+      "loss": 0.8533,
+      "step": 17744
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.513834350991376e-06,
+      "loss": 0.7513,
+      "step": 17745
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.512774895959201e-06,
+      "loss": 0.6633,
+      "step": 17746
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.511715529044982e-06,
+      "loss": 0.7383,
+      "step": 17747
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.510656250265738e-06,
+      "loss": 0.6817,
+      "step": 17748
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.509597059638472e-06,
+      "loss": 0.6429,
+      "step": 17749
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5085379571801966e-06,
+      "loss": 0.7224,
+      "step": 17750
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5074789429079224e-06,
+      "loss": 0.7364,
+      "step": 17751
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.506420016838656e-06,
+      "loss": 0.7938,
+      "step": 17752
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.505361178989397e-06,
+      "loss": 0.5705,
+      "step": 17753
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.504302429377152e-06,
+      "loss": 0.8352,
+      "step": 17754
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.503243768018928e-06,
+      "loss": 0.8423,
+      "step": 17755
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.502185194931718e-06,
+      "loss": 0.8059,
+      "step": 17756
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.501126710132523e-06,
+      "loss": 0.9254,
+      "step": 17757
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.500068313638343e-06,
+      "loss": 0.7862,
+      "step": 17758
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.4990100054661775e-06,
+      "loss": 0.7763,
+      "step": 17759
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.4979517856330155e-06,
+      "loss": 0.781,
+      "step": 17760
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.496893654155858e-06,
+      "loss": 0.6575,
+      "step": 17761
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.495835611051687e-06,
+      "loss": 0.8364,
+      "step": 17762
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4947776563374986e-06,
+      "loss": 0.7507,
+      "step": 17763
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.493719790030284e-06,
+      "loss": 0.7607,
+      "step": 17764
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.492662012147033e-06,
+      "loss": 0.7301,
+      "step": 17765
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.491604322704726e-06,
+      "loss": 0.8142,
+      "step": 17766
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.49054672172035e-06,
+      "loss": 0.7937,
+      "step": 17767
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.489489209210891e-06,
+      "loss": 0.7211,
+      "step": 17768
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.488431785193333e-06,
+      "loss": 0.8185,
+      "step": 17769
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.48737444968465e-06,
+      "loss": 0.7363,
+      "step": 17770
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.486317202701828e-06,
+      "loss": 0.7555,
+      "step": 17771
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.485260044261841e-06,
+      "loss": 0.8985,
+      "step": 17772
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.484202974381671e-06,
+      "loss": 0.806,
+      "step": 17773
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.483145993078286e-06,
+      "loss": 0.8229,
+      "step": 17774
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.482089100368667e-06,
+      "loss": 0.6102,
+      "step": 17775
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.481032296269775e-06,
+      "loss": 0.6357,
+      "step": 17776
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4799755807985965e-06,
+      "loss": 0.7764,
+      "step": 17777
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.47891895397209e-06,
+      "loss": 0.6559,
+      "step": 17778
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4778624158072305e-06,
+      "loss": 0.7154,
+      "step": 17779
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.476805966320973e-06,
+      "loss": 0.9173,
+      "step": 17780
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.475749605530297e-06,
+      "loss": 0.724,
+      "step": 17781
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.474693333452158e-06,
+      "loss": 0.8971,
+      "step": 17782
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.473637150103524e-06,
+      "loss": 0.6786,
+      "step": 17783
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.472581055501348e-06,
+      "loss": 0.8682,
+      "step": 17784
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.471525049662595e-06,
+      "loss": 0.8888,
+      "step": 17785
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.470469132604222e-06,
+      "loss": 0.6714,
+      "step": 17786
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.469413304343189e-06,
+      "loss": 0.6835,
+      "step": 17787
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.468357564896445e-06,
+      "loss": 0.6104,
+      "step": 17788
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.467301914280946e-06,
+      "loss": 0.7279,
+      "step": 17789
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.466246352513646e-06,
+      "loss": 0.7608,
+      "step": 17790
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4651908796115e-06,
+      "loss": 0.68,
+      "step": 17791
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.464135495591447e-06,
+      "loss": 0.8088,
+      "step": 17792
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.463080200470446e-06,
+      "loss": 0.8278,
+      "step": 17793
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.462024994265436e-06,
+      "loss": 0.8349,
+      "step": 17794
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.460969876993364e-06,
+      "loss": 0.7852,
+      "step": 17795
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.459914848671175e-06,
+      "loss": 0.7683,
+      "step": 17796
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.458859909315816e-06,
+      "loss": 0.661,
+      "step": 17797
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.457805058944219e-06,
+      "loss": 0.7002,
+      "step": 17798
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.456750297573329e-06,
+      "loss": 0.7213,
+      "step": 17799
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4556956252200855e-06,
+      "loss": 0.8218,
+      "step": 17800
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.45464104190142e-06,
+      "loss": 0.7205,
+      "step": 17801
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.45358654763427e-06,
+      "loss": 0.7991,
+      "step": 17802
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.452532142435571e-06,
+      "loss": 0.5848,
+      "step": 17803
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4514778263222565e-06,
+      "loss": 0.7487,
+      "step": 17804
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.450423599311254e-06,
+      "loss": 0.8038,
+      "step": 17805
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.449369461419496e-06,
+      "loss": 0.8914,
+      "step": 17806
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4483154126639026e-06,
+      "loss": 0.6968,
+      "step": 17807
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4472614530614146e-06,
+      "loss": 0.7095,
+      "step": 17808
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.446207582628945e-06,
+      "loss": 0.6077,
+      "step": 17809
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.445153801383427e-06,
+      "loss": 0.6863,
+      "step": 17810
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.444100109341774e-06,
+      "loss": 0.7928,
+      "step": 17811
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.443046506520913e-06,
+      "loss": 0.6591,
+      "step": 17812
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.44199299293776e-06,
+      "loss": 0.6235,
+      "step": 17813
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.440939568609239e-06,
+      "loss": 0.8255,
+      "step": 17814
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4398862335522595e-06,
+      "loss": 0.8952,
+      "step": 17815
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.43883298778374e-06,
+      "loss": 0.7546,
+      "step": 17816
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.437779831320595e-06,
+      "loss": 0.7747,
+      "step": 17817
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.436726764179737e-06,
+      "loss": 0.797,
+      "step": 17818
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.435673786378074e-06,
+      "loss": 0.7221,
+      "step": 17819
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.434620897932521e-06,
+      "loss": 0.7015,
+      "step": 17820
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.433568098859976e-06,
+      "loss": 0.6152,
+      "step": 17821
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.432515389177359e-06,
+      "loss": 0.8191,
+      "step": 17822
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.431462768901564e-06,
+      "loss": 0.709,
+      "step": 17823
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.430410238049504e-06,
+      "loss": 0.7474,
+      "step": 17824
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.429357796638068e-06,
+      "loss": 0.7003,
+      "step": 17825
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.428305444684173e-06,
+      "loss": 0.8904,
+      "step": 17826
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.427253182204708e-06,
+      "loss": 0.7057,
+      "step": 17827
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.426201009216576e-06,
+      "loss": 0.6824,
+      "step": 17828
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.425148925736665e-06,
+      "loss": 0.6897,
+      "step": 17829
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.424096931781885e-06,
+      "loss": 0.7978,
+      "step": 17830
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4230450273691164e-06,
+      "loss": 0.8855,
+      "step": 17831
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.42199321251526e-06,
+      "loss": 0.7515,
+      "step": 17832
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4209414872371994e-06,
+      "loss": 0.7119,
+      "step": 17833
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.419889851551827e-06,
+      "loss": 0.7126,
+      "step": 17834
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.418838305476033e-06,
+      "loss": 0.7704,
+      "step": 17835
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.417786849026704e-06,
+      "loss": 0.7539,
+      "step": 17836
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.416735482220721e-06,
+      "loss": 0.7475,
+      "step": 17837
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.415684205074969e-06,
+      "loss": 0.6305,
+      "step": 17838
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.414633017606336e-06,
+      "loss": 0.6255,
+      "step": 17839
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.413581919831693e-06,
+      "loss": 0.8433,
+      "step": 17840
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.412530911767925e-06,
+      "loss": 0.8035,
+      "step": 17841
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.411479993431912e-06,
+      "loss": 0.7198,
+      "step": 17842
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.410429164840524e-06,
+      "loss": 0.77,
+      "step": 17843
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4093784260106395e-06,
+      "loss": 0.6546,
+      "step": 17844
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.408327776959136e-06,
+      "loss": 0.7066,
+      "step": 17845
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.407277217702878e-06,
+      "loss": 0.8242,
+      "step": 17846
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.406226748258739e-06,
+      "loss": 0.8976,
+      "step": 17847
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.40517636864359e-06,
+      "loss": 0.7391,
+      "step": 17848
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.404126078874301e-06,
+      "loss": 0.6296,
+      "step": 17849
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.403075878967732e-06,
+      "loss": 0.6614,
+      "step": 17850
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4020257689407544e-06,
+      "loss": 0.7444,
+      "step": 17851
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.400975748810221e-06,
+      "loss": 0.8021,
+      "step": 17852
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.399925818593008e-06,
+      "loss": 0.603,
+      "step": 17853
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.398875978305966e-06,
+      "loss": 0.7765,
+      "step": 17854
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3978262279659615e-06,
+      "loss": 0.7501,
+      "step": 17855
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.396776567589839e-06,
+      "loss": 0.7863,
+      "step": 17856
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.395726997194472e-06,
+      "loss": 0.774,
+      "step": 17857
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.394677516796703e-06,
+      "loss": 0.8666,
+      "step": 17858
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.393628126413391e-06,
+      "loss": 0.6862,
+      "step": 17859
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3925788260613855e-06,
+      "loss": 0.688,
+      "step": 17860
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.391529615757536e-06,
+      "loss": 0.7403,
+      "step": 17861
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.390480495518693e-06,
+      "loss": 0.8089,
+      "step": 17862
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.389431465361708e-06,
+      "loss": 0.7561,
+      "step": 17863
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.388382525303419e-06,
+      "loss": 0.8533,
+      "step": 17864
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3873336753606766e-06,
+      "loss": 0.5821,
+      "step": 17865
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.386284915550321e-06,
+      "loss": 0.7869,
+      "step": 17866
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.385236245889198e-06,
+      "loss": 0.8623,
+      "step": 17867
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.384187666394143e-06,
+      "loss": 0.7627,
+      "step": 17868
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.383139177082001e-06,
+      "loss": 0.6715,
+      "step": 17869
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.382090777969598e-06,
+      "loss": 0.7191,
+      "step": 17870
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.381042469073784e-06,
+      "loss": 0.9415,
+      "step": 17871
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.379994250411383e-06,
+      "loss": 0.7923,
+      "step": 17872
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.378946121999237e-06,
+      "loss": 0.7392,
+      "step": 17873
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.377898083854165e-06,
+      "loss": 0.9279,
+      "step": 17874
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.376850135993012e-06,
+      "loss": 0.8116,
+      "step": 17875
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.375802278432596e-06,
+      "loss": 0.8113,
+      "step": 17876
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.374754511189751e-06,
+      "loss": 0.7138,
+      "step": 17877
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.373706834281297e-06,
+      "loss": 0.6757,
+      "step": 17878
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3726592477240604e-06,
+      "loss": 0.7373,
+      "step": 17879
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3716117515348655e-06,
+      "loss": 0.7926,
+      "step": 17880
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.370564345730537e-06,
+      "loss": 0.6095,
+      "step": 17881
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.369517030327887e-06,
+      "loss": 0.8258,
+      "step": 17882
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.368469805343737e-06,
+      "loss": 0.8213,
+      "step": 17883
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.367422670794909e-06,
+      "loss": 0.8705,
+      "step": 17884
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.366375626698212e-06,
+      "loss": 0.7827,
+      "step": 17885
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3653286730704635e-06,
+      "loss": 0.6898,
+      "step": 17886
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3642818099284754e-06,
+      "loss": 0.8452,
+      "step": 17887
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.363235037289064e-06,
+      "loss": 0.7284,
+      "step": 17888
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.36218835516903e-06,
+      "loss": 0.6489,
+      "step": 17889
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.36114176358519e-06,
+      "loss": 0.9011,
+      "step": 17890
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.360095262554345e-06,
+      "loss": 0.8451,
+      "step": 17891
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.359048852093301e-06,
+      "loss": 0.7591,
+      "step": 17892
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.358002532218865e-06,
+      "loss": 0.8129,
+      "step": 17893
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.356956302947843e-06,
+      "loss": 0.708,
+      "step": 17894
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.355910164297026e-06,
+      "loss": 0.8194,
+      "step": 17895
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.354864116283221e-06,
+      "loss": 0.7043,
+      "step": 17896
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.353818158923223e-06,
+      "loss": 0.7852,
+      "step": 17897
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.352772292233835e-06,
+      "loss": 0.7141,
+      "step": 17898
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.351726516231843e-06,
+      "loss": 0.8078,
+      "step": 17899
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.350680830934051e-06,
+      "loss": 0.6989,
+      "step": 17900
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.349635236357237e-06,
+      "loss": 0.7977,
+      "step": 17901
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3485897325182094e-06,
+      "loss": 0.6209,
+      "step": 17902
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.347544319433744e-06,
+      "loss": 0.707,
+      "step": 17903
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.346498997120638e-06,
+      "loss": 0.8602,
+      "step": 17904
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.345453765595667e-06,
+      "loss": 0.7402,
+      "step": 17905
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.34440862487563e-06,
+      "loss": 0.7595,
+      "step": 17906
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3433635749773e-06,
+      "loss": 0.7311,
+      "step": 17907
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3423186159174665e-06,
+      "loss": 0.7207,
+      "step": 17908
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.341273747712903e-06,
+      "loss": 0.7543,
+      "step": 17909
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3402289703803926e-06,
+      "loss": 0.8632,
+      "step": 17910
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3391842839367114e-06,
+      "loss": 0.7794,
+      "step": 17911
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3381396883986425e-06,
+      "loss": 0.7848,
+      "step": 17912
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.337095183782951e-06,
+      "loss": 0.5536,
+      "step": 17913
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.336050770106415e-06,
+      "loss": 0.7057,
+      "step": 17914
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.335006447385807e-06,
+      "loss": 0.7622,
+      "step": 17915
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.333962215637899e-06,
+      "loss": 0.707,
+      "step": 17916
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3329180748794554e-06,
+      "loss": 0.7983,
+      "step": 17917
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.33187402512725e-06,
+      "loss": 0.8209,
+      "step": 17918
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.330830066398037e-06,
+      "loss": 0.7162,
+      "step": 17919
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.329786198708598e-06,
+      "loss": 0.748,
+      "step": 17920
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.328742422075682e-06,
+      "loss": 0.7929,
+      "step": 17921
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3276987365160605e-06,
+      "loss": 0.7331,
+      "step": 17922
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3266551420464866e-06,
+      "loss": 0.8137,
+      "step": 17923
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.325611638683721e-06,
+      "loss": 0.7557,
+      "step": 17924
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3245682264445235e-06,
+      "loss": 0.7607,
+      "step": 17925
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.323524905345651e-06,
+      "loss": 0.8742,
+      "step": 17926
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.322481675403852e-06,
+      "loss": 0.8724,
+      "step": 17927
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.321438536635884e-06,
+      "loss": 0.7806,
+      "step": 17928
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3203954890585e-06,
+      "loss": 0.6985,
+      "step": 17929
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.319352532688444e-06,
+      "loss": 0.7626,
+      "step": 17930
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.318309667542467e-06,
+      "loss": 0.8536,
+      "step": 17931
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.31726689363732e-06,
+      "loss": 0.6838,
+      "step": 17932
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.316224210989747e-06,
+      "loss": 0.8511,
+      "step": 17933
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3151816196164885e-06,
+      "loss": 0.6948,
+      "step": 17934
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.314139119534289e-06,
+      "loss": 0.7369,
+      "step": 17935
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.313096710759894e-06,
+      "loss": 0.6391,
+      "step": 17936
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.312054393310037e-06,
+      "loss": 0.8233,
+      "step": 17937
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.31101216720146e-06,
+      "loss": 0.6583,
+      "step": 17938
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3099700324509e-06,
+      "loss": 0.6552,
+      "step": 17939
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.308927989075089e-06,
+      "loss": 0.7605,
+      "step": 17940
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.307886037090763e-06,
+      "loss": 0.7977,
+      "step": 17941
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.306844176514654e-06,
+      "loss": 0.7707,
+      "step": 17942
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3058024073634986e-06,
+      "loss": 0.8328,
+      "step": 17943
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.304760729654016e-06,
+      "loss": 0.6411,
+      "step": 17944
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.303719143402942e-06,
+      "loss": 0.8065,
+      "step": 17945
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.302677648626998e-06,
+      "loss": 0.6583,
+      "step": 17946
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.301636245342918e-06,
+      "loss": 0.7971,
+      "step": 17947
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.300594933567414e-06,
+      "loss": 0.8229,
+      "step": 17948
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.299553713317217e-06,
+      "loss": 0.858,
+      "step": 17949
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.298512584609038e-06,
+      "loss": 0.6893,
+      "step": 17950
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.2974715474596096e-06,
+      "loss": 0.7928,
+      "step": 17951
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.296430601885639e-06,
+      "loss": 0.8335,
+      "step": 17952
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.295389747903848e-06,
+      "loss": 0.7915,
+      "step": 17953
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.294348985530945e-06,
+      "loss": 0.7829,
+      "step": 17954
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.293308314783653e-06,
+      "loss": 0.687,
+      "step": 17955
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.292267735678676e-06,
+      "loss": 0.7507,
+      "step": 17956
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.29122724823273e-06,
+      "loss": 0.8359,
+      "step": 17957
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.290186852462517e-06,
+      "loss": 0.6681,
+      "step": 17958
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.289146548384749e-06,
+      "loss": 0.7061,
+      "step": 17959
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.28810633601613e-06,
+      "loss": 0.6265,
+      "step": 17960
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.287066215373371e-06,
+      "loss": 0.7729,
+      "step": 17961
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.286026186473165e-06,
+      "loss": 0.764,
+      "step": 17962
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.28498624933222e-06,
+      "loss": 0.7256,
+      "step": 17963
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.283946403967233e-06,
+      "loss": 0.6831,
+      "step": 17964
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.282906650394909e-06,
+      "loss": 0.7595,
+      "step": 17965
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.281866988631936e-06,
+      "loss": 0.8117,
+      "step": 17966
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.2808274186950175e-06,
+      "loss": 0.8556,
+      "step": 17967
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.279787940600837e-06,
+      "loss": 0.7671,
+      "step": 17968
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.278748554366102e-06,
+      "loss": 0.7817,
+      "step": 17969
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.277709260007492e-06,
+      "loss": 0.7127,
+      "step": 17970
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.276670057541704e-06,
+      "loss": 0.971,
+      "step": 17971
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.275630946985421e-06,
+      "loss": 0.8014,
+      "step": 17972
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.27459192835533e-06,
+      "loss": 0.7415,
+      "step": 17973
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.273553001668119e-06,
+      "loss": 0.8303,
+      "step": 17974
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.272514166940476e-06,
+      "loss": 0.8794,
+      "step": 17975
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.271475424189074e-06,
+      "loss": 0.7003,
+      "step": 17976
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.270436773430599e-06,
+      "loss": 0.7915,
+      "step": 17977
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.269398214681733e-06,
+      "loss": 0.8218,
+      "step": 17978
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.2683597479591465e-06,
+      "loss": 0.7544,
+      "step": 17979
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.26732137327952e-06,
+      "loss": 0.7125,
+      "step": 17980
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.266283090659531e-06,
+      "loss": 0.8053,
+      "step": 17981
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.265244900115852e-06,
+      "loss": 0.7494,
+      "step": 17982
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.264206801665153e-06,
+      "loss": 0.709,
+      "step": 17983
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.263168795324107e-06,
+      "loss": 0.7723,
+      "step": 17984
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.262130881109379e-06,
+      "loss": 0.8425,
+      "step": 17985
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.261093059037638e-06,
+      "loss": 0.7869,
+      "step": 17986
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.260055329125551e-06,
+      "loss": 0.8067,
+      "step": 17987
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.259017691389788e-06,
+      "loss": 0.6841,
+      "step": 17988
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.257980145847002e-06,
+      "loss": 0.733,
+      "step": 17989
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.25694269251386e-06,
+      "loss": 0.6708,
+      "step": 17990
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.255905331407022e-06,
+      "loss": 0.7622,
+      "step": 17991
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.254868062543151e-06,
+      "loss": 0.7368,
+      "step": 17992
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.253830885938895e-06,
+      "loss": 0.7131,
+      "step": 17993
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.252793801610919e-06,
+      "loss": 0.8931,
+      "step": 17994
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.2517568095758655e-06,
+      "loss": 0.6819,
+      "step": 17995
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.250719909850402e-06,
+      "loss": 0.7575,
+      "step": 17996
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.249683102451169e-06,
+      "loss": 0.8481,
+      "step": 17997
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.248646387394823e-06,
+      "loss": 0.6907,
+      "step": 17998
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.247609764698002e-06,
+      "loss": 0.7974,
+      "step": 17999
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.246573234377368e-06,
+      "loss": 0.7091,
+      "step": 18000
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.245536796449555e-06,
+      "loss": 0.8752,
+      "step": 18001
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.244500450931212e-06,
+      "loss": 0.6908,
+      "step": 18002
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.243464197838975e-06,
+      "loss": 0.8269,
+      "step": 18003
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.242428037189494e-06,
+      "loss": 0.8329,
+      "step": 18004
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.241391968999402e-06,
+      "loss": 0.951,
+      "step": 18005
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.240355993285343e-06,
+      "loss": 0.7202,
+      "step": 18006
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.239320110063946e-06,
+      "loss": 0.7674,
+      "step": 18007
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.238284319351848e-06,
+      "loss": 0.8635,
+      "step": 18008
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.237248621165686e-06,
+      "loss": 0.709,
+      "step": 18009
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.236213015522093e-06,
+      "loss": 0.8209,
+      "step": 18010
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.235177502437692e-06,
+      "loss": 0.6643,
+      "step": 18011
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.234142081929117e-06,
+      "loss": 0.9374,
+      "step": 18012
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.233106754012996e-06,
+      "loss": 0.7445,
+      "step": 18013
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.232071518705957e-06,
+      "loss": 0.6505,
+      "step": 18014
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.231036376024618e-06,
+      "loss": 0.7623,
+      "step": 18015
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.23000132598561e-06,
+      "loss": 0.8986,
+      "step": 18016
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.228966368605547e-06,
+      "loss": 0.7642,
+      "step": 18017
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.227931503901052e-06,
+      "loss": 0.7559,
+      "step": 18018
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.2268967318887445e-06,
+      "loss": 0.6503,
+      "step": 18019
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.225862052585244e-06,
+      "loss": 0.7702,
+      "step": 18020
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.224827466007162e-06,
+      "loss": 0.6369,
+      "step": 18021
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.223792972171114e-06,
+      "loss": 0.8014,
+      "step": 18022
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.222758571093715e-06,
+      "loss": 0.7761,
+      "step": 18023
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.221724262791571e-06,
+      "loss": 0.6404,
+      "step": 18024
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.220690047281295e-06,
+      "loss": 0.8068,
+      "step": 18025
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.2196559245794944e-06,
+      "loss": 0.7515,
+      "step": 18026
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.2186218947027804e-06,
+      "loss": 0.7343,
+      "step": 18027
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.217587957667751e-06,
+      "loss": 0.8923,
+      "step": 18028
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.216554113491017e-06,
+      "loss": 0.561,
+      "step": 18029
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.215520362189169e-06,
+      "loss": 0.6397,
+      "step": 18030
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.214486703778823e-06,
+      "loss": 0.7355,
+      "step": 18031
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.213453138276568e-06,
+      "loss": 0.7299,
+      "step": 18032
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.2124196656990065e-06,
+      "loss": 0.8534,
+      "step": 18033
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.211386286062731e-06,
+      "loss": 0.6856,
+      "step": 18034
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.2103529993843385e-06,
+      "loss": 0.8634,
+      "step": 18035
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.209319805680421e-06,
+      "loss": 0.7846,
+      "step": 18036
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.208286704967574e-06,
+      "loss": 0.7015,
+      "step": 18037
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.207253697262383e-06,
+      "loss": 0.8265,
+      "step": 18038
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.206220782581438e-06,
+      "loss": 0.7116,
+      "step": 18039
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.205187960941328e-06,
+      "loss": 0.7886,
+      "step": 18040
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.204155232358642e-06,
+      "loss": 0.6517,
+      "step": 18041
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.203122596849956e-06,
+      "loss": 0.7692,
+      "step": 18042
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.202090054431861e-06,
+      "loss": 0.9343,
+      "step": 18043
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.201057605120927e-06,
+      "loss": 0.7256,
+      "step": 18044
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.200025248933749e-06,
+      "loss": 0.8629,
+      "step": 18045
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.198992985886894e-06,
+      "loss": 0.7575,
+      "step": 18046
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.197960815996945e-06,
+      "loss": 0.7833,
+      "step": 18047
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.19692873928047e-06,
+      "loss": 0.7893,
+      "step": 18048
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.195896755754054e-06,
+      "loss": 0.674,
+      "step": 18049
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.19486486543426e-06,
+      "loss": 0.7038,
+      "step": 18050
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.193833068337663e-06,
+      "loss": 0.7045,
+      "step": 18051
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.192801364480828e-06,
+      "loss": 0.8272,
+      "step": 18052
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.191769753880332e-06,
+      "loss": 0.9293,
+      "step": 18053
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.19073823655273e-06,
+      "loss": 0.7254,
+      "step": 18054
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.189706812514599e-06,
+      "loss": 0.8108,
+      "step": 18055
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1886754817824904e-06,
+      "loss": 0.9174,
+      "step": 18056
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.187644244372973e-06,
+      "loss": 0.7679,
+      "step": 18057
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.186613100302605e-06,
+      "loss": 0.6411,
+      "step": 18058
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.18558204958795e-06,
+      "loss": 0.7471,
+      "step": 18059
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.184551092245557e-06,
+      "loss": 0.7803,
+      "step": 18060
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.183520228291987e-06,
+      "loss": 0.7414,
+      "step": 18061
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.182489457743797e-06,
+      "loss": 0.804,
+      "step": 18062
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1814587806175324e-06,
+      "loss": 0.7538,
+      "step": 18063
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.180428196929749e-06,
+      "loss": 0.9075,
+      "step": 18064
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.179397706697001e-06,
+      "loss": 0.6088,
+      "step": 18065
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.178367309935828e-06,
+      "loss": 0.7704,
+      "step": 18066
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.177337006662781e-06,
+      "loss": 0.7195,
+      "step": 18067
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.176306796894409e-06,
+      "loss": 0.8169,
+      "step": 18068
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.175276680647249e-06,
+      "loss": 0.6632,
+      "step": 18069
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.174246657937846e-06,
+      "loss": 0.8028,
+      "step": 18070
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.173216728782743e-06,
+      "loss": 0.7493,
+      "step": 18071
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1721868931984796e-06,
+      "loss": 0.805,
+      "step": 18072
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1711571512015905e-06,
+      "loss": 0.7705,
+      "step": 18073
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.170127502808617e-06,
+      "loss": 0.8645,
+      "step": 18074
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.169097948036081e-06,
+      "loss": 0.56,
+      "step": 18075
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.168068486900535e-06,
+      "loss": 0.7748,
+      "step": 18076
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.167039119418496e-06,
+      "loss": 0.7889,
+      "step": 18077
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.166009845606505e-06,
+      "loss": 0.7292,
+      "step": 18078
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.164980665481078e-06,
+      "loss": 0.6872,
+      "step": 18079
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.163951579058756e-06,
+      "loss": 0.711,
+      "step": 18080
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.162922586356055e-06,
+      "loss": 0.771,
+      "step": 18081
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.161893687389508e-06,
+      "loss": 0.8484,
+      "step": 18082
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.160864882175628e-06,
+      "loss": 0.8642,
+      "step": 18083
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.159836170730942e-06,
+      "loss": 0.675,
+      "step": 18084
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.158807553071969e-06,
+      "loss": 0.6098,
+      "step": 18085
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.15777902921523e-06,
+      "loss": 0.7793,
+      "step": 18086
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.156750599177235e-06,
+      "loss": 0.7322,
+      "step": 18087
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.155722262974504e-06,
+      "loss": 0.7721,
+      "step": 18088
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.154694020623551e-06,
+      "loss": 0.8886,
+      "step": 18089
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.153665872140891e-06,
+      "loss": 0.7757,
+      "step": 18090
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.152637817543026e-06,
+      "loss": 0.7184,
+      "step": 18091
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.151609856846476e-06,
+      "loss": 0.681,
+      "step": 18092
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1505819900677345e-06,
+      "loss": 0.6332,
+      "step": 18093
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.149554217223325e-06,
+      "loss": 0.8654,
+      "step": 18094
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1485265383297394e-06,
+      "loss": 0.7841,
+      "step": 18095
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.14749895340349e-06,
+      "loss": 0.5337,
+      "step": 18096
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.146471462461065e-06,
+      "loss": 0.9232,
+      "step": 18097
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.145444065518981e-06,
+      "loss": 0.799,
+      "step": 18098
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.144416762593726e-06,
+      "loss": 0.8585,
+      "step": 18099
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.143389553701803e-06,
+      "loss": 0.785,
+      "step": 18100
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.142362438859703e-06,
+      "loss": 0.8555,
+      "step": 18101
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1413354180839215e-06,
+      "loss": 0.7754,
+      "step": 18102
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.140308491390952e-06,
+      "loss": 0.8604,
+      "step": 18103
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.139281658797288e-06,
+      "loss": 0.669,
+      "step": 18104
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.138254920319414e-06,
+      "loss": 0.7328,
+      "step": 18105
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.137228275973821e-06,
+      "loss": 0.8526,
+      "step": 18106
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.136201725776999e-06,
+      "loss": 0.7132,
+      "step": 18107
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.135175269745426e-06,
+      "loss": 0.5804,
+      "step": 18108
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.134148907895589e-06,
+      "loss": 0.6189,
+      "step": 18109
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1331226402439695e-06,
+      "loss": 0.6998,
+      "step": 18110
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.132096466807053e-06,
+      "loss": 0.6937,
+      "step": 18111
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.131070387601312e-06,
+      "loss": 0.8694,
+      "step": 18112
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.130044402643228e-06,
+      "loss": 0.7162,
+      "step": 18113
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.129018511949272e-06,
+      "loss": 0.6913,
+      "step": 18114
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.127992715535922e-06,
+      "loss": 0.8595,
+      "step": 18115
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.126967013419652e-06,
+      "loss": 0.6433,
+      "step": 18116
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1259414056169355e-06,
+      "loss": 0.716,
+      "step": 18117
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.124915892144236e-06,
+      "loss": 0.6512,
+      "step": 18118
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.123890473018025e-06,
+      "loss": 0.8009,
+      "step": 18119
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.12286514825477e-06,
+      "loss": 0.7507,
+      "step": 18120
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.12183991787094e-06,
+      "loss": 0.6913,
+      "step": 18121
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.120814781882991e-06,
+      "loss": 0.6169,
+      "step": 18122
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.119789740307394e-06,
+      "loss": 0.6472,
+      "step": 18123
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.118764793160598e-06,
+      "loss": 0.6815,
+      "step": 18124
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.117739940459077e-06,
+      "loss": 0.6723,
+      "step": 18125
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1167151822192775e-06,
+      "loss": 0.6559,
+      "step": 18126
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1156905184576646e-06,
+      "loss": 0.7238,
+      "step": 18127
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1146659491906805e-06,
+      "loss": 0.8722,
+      "step": 18128
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.113641474434794e-06,
+      "loss": 0.6448,
+      "step": 18129
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.112617094206445e-06,
+      "loss": 0.6914,
+      "step": 18130
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.111592808522093e-06,
+      "loss": 0.667,
+      "step": 18131
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.110568617398178e-06,
+      "loss": 0.7579,
+      "step": 18132
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.109544520851151e-06,
+      "loss": 0.6948,
+      "step": 18133
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1085205188974575e-06,
+      "loss": 0.7794,
+      "step": 18134
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.107496611553547e-06,
+      "loss": 0.889,
+      "step": 18135
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.106472798835852e-06,
+      "loss": 0.8319,
+      "step": 18136
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.105449080760819e-06,
+      "loss": 0.8348,
+      "step": 18137
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1044254573448885e-06,
+      "loss": 0.7324,
+      "step": 18138
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.1034019286045e-06,
+      "loss": 0.6066,
+      "step": 18139
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.102378494556085e-06,
+      "loss": 0.7653,
+      "step": 18140
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.101355155216084e-06,
+      "loss": 0.6546,
+      "step": 18141
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.100331910600922e-06,
+      "loss": 0.7209,
+      "step": 18142
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.099308760727043e-06,
+      "loss": 0.8783,
+      "step": 18143
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.098285705610867e-06,
+      "loss": 0.8318,
+      "step": 18144
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.097262745268833e-06,
+      "loss": 0.7279,
+      "step": 18145
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0962398797173575e-06,
+      "loss": 0.7289,
+      "step": 18146
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.095217108972872e-06,
+      "loss": 0.7424,
+      "step": 18147
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0941944330518004e-06,
+      "loss": 0.7724,
+      "step": 18148
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.09317185197057e-06,
+      "loss": 0.8389,
+      "step": 18149
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.092149365745594e-06,
+      "loss": 0.6852,
+      "step": 18150
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.091126974393297e-06,
+      "loss": 0.7869,
+      "step": 18151
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.090104677930099e-06,
+      "loss": 0.8211,
+      "step": 18152
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0890824763724115e-06,
+      "loss": 0.8183,
+      "step": 18153
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.088060369736653e-06,
+      "loss": 0.7991,
+      "step": 18154
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.087038358039236e-06,
+      "loss": 0.8259,
+      "step": 18155
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.086016441296578e-06,
+      "loss": 0.7201,
+      "step": 18156
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.08499461952508e-06,
+      "loss": 0.7317,
+      "step": 18157
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.083972892741161e-06,
+      "loss": 0.6727,
+      "step": 18158
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.082951260961222e-06,
+      "loss": 0.6675,
+      "step": 18159
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.08192972420167e-06,
+      "loss": 0.8363,
+      "step": 18160
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.080908282478911e-06,
+      "loss": 0.5523,
+      "step": 18161
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.079886935809352e-06,
+      "loss": 0.8406,
+      "step": 18162
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.078865684209385e-06,
+      "loss": 0.7375,
+      "step": 18163
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.077844527695418e-06,
+      "loss": 0.7655,
+      "step": 18164
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.076823466283846e-06,
+      "loss": 0.7131,
+      "step": 18165
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.075802499991071e-06,
+      "loss": 0.8679,
+      "step": 18166
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.07478162883348e-06,
+      "loss": 0.72,
+      "step": 18167
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.073760852827472e-06,
+      "loss": 0.6953,
+      "step": 18168
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.072740171989438e-06,
+      "loss": 0.7833,
+      "step": 18169
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.071719586335774e-06,
+      "loss": 0.926,
+      "step": 18170
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.07069909588286e-06,
+      "loss": 0.6806,
+      "step": 18171
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.069678700647094e-06,
+      "loss": 0.8089,
+      "step": 18172
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.068658400644848e-06,
+      "loss": 0.8778,
+      "step": 18173
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.067638195892525e-06,
+      "loss": 0.8001,
+      "step": 18174
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.066618086406494e-06,
+      "loss": 0.8076,
+      "step": 18175
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.065598072203145e-06,
+      "loss": 0.7714,
+      "step": 18176
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.064578153298848e-06,
+      "loss": 0.881,
+      "step": 18177
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.063558329709996e-06,
+      "loss": 0.8222,
+      "step": 18178
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.062538601452954e-06,
+      "loss": 0.7817,
+      "step": 18179
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.061518968544106e-06,
+      "loss": 0.7712,
+      "step": 18180
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.060499430999818e-06,
+      "loss": 0.7037,
+      "step": 18181
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.059479988836467e-06,
+      "loss": 0.6864,
+      "step": 18182
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0584606420704235e-06,
+      "loss": 0.6913,
+      "step": 18183
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.05744139071806e-06,
+      "loss": 0.818,
+      "step": 18184
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.056422234795738e-06,
+      "loss": 0.7035,
+      "step": 18185
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.055403174319828e-06,
+      "loss": 0.7599,
+      "step": 18186
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.054384209306692e-06,
+      "loss": 0.7238,
+      "step": 18187
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0533653397727005e-06,
+      "loss": 0.7156,
+      "step": 18188
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.052346565734207e-06,
+      "loss": 0.7981,
+      "step": 18189
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.051327887207577e-06,
+      "loss": 0.8298,
+      "step": 18190
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0503093042091645e-06,
+      "loss": 0.8557,
+      "step": 18191
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.049290816755328e-06,
+      "loss": 0.7866,
+      "step": 18192
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.048272424862425e-06,
+      "loss": 0.8599,
+      "step": 18193
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.047254128546813e-06,
+      "loss": 0.7638,
+      "step": 18194
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.046235927824836e-06,
+      "loss": 0.8129,
+      "step": 18195
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0452178227128505e-06,
+      "loss": 0.7769,
+      "step": 18196
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.044199813227208e-06,
+      "loss": 0.7913,
+      "step": 18197
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.04318189938425e-06,
+      "loss": 0.8485,
+      "step": 18198
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.042164081200326e-06,
+      "loss": 0.7208,
+      "step": 18199
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.041146358691782e-06,
+      "loss": 0.787,
+      "step": 18200
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.040128731874964e-06,
+      "loss": 0.8373,
+      "step": 18201
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.039111200766207e-06,
+      "loss": 0.7887,
+      "step": 18202
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.038093765381857e-06,
+      "loss": 0.8286,
+      "step": 18203
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.037076425738245e-06,
+      "loss": 0.6505,
+      "step": 18204
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.036059181851721e-06,
+      "loss": 0.7553,
+      "step": 18205
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0350420337386075e-06,
+      "loss": 0.6952,
+      "step": 18206
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.03402498141525e-06,
+      "loss": 0.7405,
+      "step": 18207
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.033008024897971e-06,
+      "loss": 0.9104,
+      "step": 18208
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.031991164203106e-06,
+      "loss": 0.8038,
+      "step": 18209
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.030974399346985e-06,
+      "loss": 0.7702,
+      "step": 18210
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.029957730345939e-06,
+      "loss": 0.8065,
+      "step": 18211
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.028941157216287e-06,
+      "loss": 0.9102,
+      "step": 18212
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.027924679974358e-06,
+      "loss": 0.8238,
+      "step": 18213
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.026908298636476e-06,
+      "loss": 0.7284,
+      "step": 18214
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.025892013218965e-06,
+      "loss": 0.8174,
+      "step": 18215
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0248758237381395e-06,
+      "loss": 0.7752,
+      "step": 18216
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.023859730210323e-06,
+      "loss": 0.7629,
+      "step": 18217
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0228437326518245e-06,
+      "loss": 0.7374,
+      "step": 18218
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.021827831078972e-06,
+      "loss": 0.7794,
+      "step": 18219
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.020812025508072e-06,
+      "loss": 0.649,
+      "step": 18220
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.019796315955441e-06,
+      "loss": 0.7768,
+      "step": 18221
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.018780702437381e-06,
+      "loss": 0.9137,
+      "step": 18222
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.017765184970213e-06,
+      "loss": 0.6917,
+      "step": 18223
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.016749763570238e-06,
+      "loss": 0.7446,
+      "step": 18224
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.015734438253768e-06,
+      "loss": 0.757,
+      "step": 18225
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.014719209037097e-06,
+      "loss": 0.9134,
+      "step": 18226
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.013704075936543e-06,
+      "loss": 0.8805,
+      "step": 18227
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.012689038968396e-06,
+      "loss": 0.7762,
+      "step": 18228
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.011674098148964e-06,
+      "loss": 0.8722,
+      "step": 18229
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.010659253494538e-06,
+      "loss": 0.7791,
+      "step": 18230
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.009644505021422e-06,
+      "loss": 0.7126,
+      "step": 18231
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.008629852745907e-06,
+      "loss": 0.7806,
+      "step": 18232
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.007615296684293e-06,
+      "loss": 0.7516,
+      "step": 18233
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.006600836852864e-06,
+      "loss": 0.8215,
+      "step": 18234
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.005586473267916e-06,
+      "loss": 0.8117,
+      "step": 18235
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0045722059457415e-06,
+      "loss": 0.7551,
+      "step": 18236
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.003558034902621e-06,
+      "loss": 0.8621,
+      "step": 18237
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.002543960154844e-06,
+      "loss": 0.6574,
+      "step": 18238
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.001529981718701e-06,
+      "loss": 0.6944,
+      "step": 18239
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.000516099610465e-06,
+      "loss": 0.7887,
+      "step": 18240
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.999502313846423e-06,
+      "loss": 0.6947,
+      "step": 18241
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.998488624442854e-06,
+      "loss": 0.7769,
+      "step": 18242
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.997475031416042e-06,
+      "loss": 0.7361,
+      "step": 18243
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.9964615347822555e-06,
+      "loss": 0.6728,
+      "step": 18244
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.995448134557775e-06,
+      "loss": 0.791,
+      "step": 18245
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.994434830758875e-06,
+      "loss": 0.8723,
+      "step": 18246
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.993421623401824e-06,
+      "loss": 0.6542,
+      "step": 18247
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.992408512502894e-06,
+      "loss": 0.7564,
+      "step": 18248
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.9913954980783565e-06,
+      "loss": 0.7808,
+      "step": 18249
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.990382580144481e-06,
+      "loss": 0.6796,
+      "step": 18250
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.989369758717528e-06,
+      "loss": 0.7584,
+      "step": 18251
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.988357033813767e-06,
+      "loss": 0.6977,
+      "step": 18252
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.987344405449453e-06,
+      "loss": 0.8864,
+      "step": 18253
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.986331873640861e-06,
+      "loss": 0.7783,
+      "step": 18254
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.985319438404238e-06,
+      "loss": 0.6751,
+      "step": 18255
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.984307099755853e-06,
+      "loss": 0.7573,
+      "step": 18256
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.983294857711955e-06,
+      "loss": 0.7381,
+      "step": 18257
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.982282712288802e-06,
+      "loss": 0.7598,
+      "step": 18258
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.981270663502647e-06,
+      "loss": 0.7948,
+      "step": 18259
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.980258711369747e-06,
+      "loss": 0.7163,
+      "step": 18260
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.979246855906346e-06,
+      "loss": 0.7424,
+      "step": 18261
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.9782350971286965e-06,
+      "loss": 0.7452,
+      "step": 18262
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.977223435053045e-06,
+      "loss": 0.7306,
+      "step": 18263
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.976211869695641e-06,
+      "loss": 0.7424,
+      "step": 18264
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.975200401072723e-06,
+      "loss": 0.8028,
+      "step": 18265
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.974189029200542e-06,
+      "loss": 0.6785,
+      "step": 18266
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.973177754095325e-06,
+      "loss": 0.856,
+      "step": 18267
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.9721665757733295e-06,
+      "loss": 0.7014,
+      "step": 18268
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.971155494250783e-06,
+      "loss": 0.6257,
+      "step": 18269
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.970144509543927e-06,
+      "loss": 0.6516,
+      "step": 18270
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.969133621668987e-06,
+      "loss": 0.8747,
+      "step": 18271
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.968122830642211e-06,
+      "loss": 0.7294,
+      "step": 18272
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.967112136479822e-06,
+      "loss": 0.7207,
+      "step": 18273
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.966101539198055e-06,
+      "loss": 0.6648,
+      "step": 18274
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.965091038813132e-06,
+      "loss": 0.8146,
+      "step": 18275
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.9640806353412866e-06,
+      "loss": 0.6423,
+      "step": 18276
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.963070328798741e-06,
+      "loss": 0.7593,
+      "step": 18277
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.962060119201726e-06,
+      "loss": 0.6984,
+      "step": 18278
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.961050006566455e-06,
+      "loss": 0.7329,
+      "step": 18279
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.960039990909155e-06,
+      "loss": 0.8445,
+      "step": 18280
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.959030072246043e-06,
+      "loss": 0.6259,
+      "step": 18281
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.958020250593342e-06,
+      "loss": 0.8889,
+      "step": 18282
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.957010525967262e-06,
+      "loss": 0.6464,
+      "step": 18283
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.956000898384019e-06,
+      "loss": 0.6387,
+      "step": 18284
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.954991367859833e-06,
+      "loss": 0.6938,
+      "step": 18285
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.953981934410907e-06,
+      "loss": 0.7636,
+      "step": 18286
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.952972598053455e-06,
+      "loss": 0.8123,
+      "step": 18287
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.95196335880369e-06,
+      "loss": 0.7952,
+      "step": 18288
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.95095421667781e-06,
+      "loss": 0.6713,
+      "step": 18289
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.949945171692026e-06,
+      "loss": 0.7931,
+      "step": 18290
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.948936223862545e-06,
+      "loss": 0.7538,
+      "step": 18291
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.947927373205562e-06,
+      "loss": 0.718,
+      "step": 18292
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.946918619737282e-06,
+      "loss": 0.7872,
+      "step": 18293
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.945909963473904e-06,
+      "loss": 0.8653,
+      "step": 18294
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.944901404431629e-06,
+      "loss": 0.8113,
+      "step": 18295
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.943892942626647e-06,
+      "loss": 0.7548,
+      "step": 18296
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.942884578075158e-06,
+      "loss": 0.7904,
+      "step": 18297
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.9418763107933465e-06,
+      "loss": 0.7301,
+      "step": 18298
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.940868140797418e-06,
+      "loss": 0.7743,
+      "step": 18299
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.93986006810355e-06,
+      "loss": 0.7346,
+      "step": 18300
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.938852092727939e-06,
+      "loss": 0.8276,
+      "step": 18301
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.937844214686763e-06,
+      "loss": 0.6803,
+      "step": 18302
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.936836433996217e-06,
+      "loss": 0.8161,
+      "step": 18303
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.935828750672478e-06,
+      "loss": 0.8156,
+      "step": 18304
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.934821164731735e-06,
+      "loss": 0.6612,
+      "step": 18305
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.933813676190159e-06,
+      "loss": 0.7036,
+      "step": 18306
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.9328062850639346e-06,
+      "loss": 0.6484,
+      "step": 18307
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.931798991369239e-06,
+      "loss": 0.7623,
+      "step": 18308
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.930791795122251e-06,
+      "loss": 0.8506,
+      "step": 18309
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.929784696339137e-06,
+      "loss": 0.6193,
+      "step": 18310
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.928777695036076e-06,
+      "loss": 0.8426,
+      "step": 18311
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.927770791229236e-06,
+      "loss": 0.5596,
+      "step": 18312
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.926763984934792e-06,
+      "loss": 0.5982,
+      "step": 18313
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.925757276168907e-06,
+      "loss": 0.7231,
+      "step": 18314
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.924750664947749e-06,
+      "loss": 0.7193,
+      "step": 18315
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.923744151287477e-06,
+      "loss": 0.749,
+      "step": 18316
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.922737735204267e-06,
+      "loss": 0.6946,
+      "step": 18317
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.92173141671427e-06,
+      "loss": 0.7894,
+      "step": 18318
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.9207251958336545e-06,
+      "loss": 0.6361,
+      "step": 18319
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.919719072578567e-06,
+      "loss": 0.8013,
+      "step": 18320
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.918713046965179e-06,
+      "loss": 0.772,
+      "step": 18321
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.917707119009636e-06,
+      "loss": 0.7059,
+      "step": 18322
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.916701288728097e-06,
+      "loss": 0.7657,
+      "step": 18323
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.915695556136712e-06,
+      "loss": 0.6667,
+      "step": 18324
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.91468992125163e-06,
+      "loss": 0.6576,
+      "step": 18325
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.913684384089002e-06,
+      "loss": 0.6484,
+      "step": 18326
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.9126789446649815e-06,
+      "loss": 0.7363,
+      "step": 18327
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.911673602995705e-06,
+      "loss": 0.7675,
+      "step": 18328
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.910668359097321e-06,
+      "loss": 0.7245,
+      "step": 18329
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.909663212985978e-06,
+      "loss": 0.7004,
+      "step": 18330
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.908658164677807e-06,
+      "loss": 0.9024,
+      "step": 18331
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.907653214188953e-06,
+      "loss": 0.7433,
+      "step": 18332
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.906648361535559e-06,
+      "loss": 0.8447,
+      "step": 18333
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.905643606733752e-06,
+      "loss": 0.6008,
+      "step": 18334
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.904638949799673e-06,
+      "loss": 0.6451,
+      "step": 18335
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.903634390749458e-06,
+      "loss": 0.8322,
+      "step": 18336
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.902629929599231e-06,
+      "loss": 0.7805,
+      "step": 18337
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.901625566365128e-06,
+      "loss": 0.8513,
+      "step": 18338
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.900621301063276e-06,
+      "loss": 0.8769,
+      "step": 18339
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.899617133709807e-06,
+      "loss": 0.9211,
+      "step": 18340
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8986130643208385e-06,
+      "loss": 0.8392,
+      "step": 18341
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8976090929125e-06,
+      "loss": 0.7479,
+      "step": 18342
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.89660521950091e-06,
+      "loss": 0.7904,
+      "step": 18343
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.895601444102198e-06,
+      "loss": 0.7784,
+      "step": 18344
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.894597766732474e-06,
+      "loss": 0.8215,
+      "step": 18345
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.893594187407863e-06,
+      "loss": 0.667,
+      "step": 18346
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.89259070614447e-06,
+      "loss": 0.7699,
+      "step": 18347
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.891587322958424e-06,
+      "loss": 0.7694,
+      "step": 18348
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.890584037865829e-06,
+      "loss": 0.6909,
+      "step": 18349
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.889580850882801e-06,
+      "loss": 0.7086,
+      "step": 18350
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.888577762025441e-06,
+      "loss": 0.6875,
+      "step": 18351
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.887574771309871e-06,
+      "loss": 0.7999,
+      "step": 18352
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.886571878752188e-06,
+      "loss": 0.871,
+      "step": 18353
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.885569084368503e-06,
+      "loss": 0.6526,
+      "step": 18354
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.884566388174914e-06,
+      "loss": 0.785,
+      "step": 18355
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.883563790187526e-06,
+      "loss": 0.7657,
+      "step": 18356
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.882561290422437e-06,
+      "loss": 0.7003,
+      "step": 18357
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.881558888895754e-06,
+      "loss": 0.7282,
+      "step": 18358
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.880556585623564e-06,
+      "loss": 0.7212,
+      "step": 18359
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.879554380621967e-06,
+      "loss": 0.7669,
+      "step": 18360
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.878552273907057e-06,
+      "loss": 0.631,
+      "step": 18361
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.87755026549493e-06,
+      "loss": 0.7535,
+      "step": 18362
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.876548355401672e-06,
+      "loss": 0.7459,
+      "step": 18363
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.875546543643377e-06,
+      "loss": 0.6345,
+      "step": 18364
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.874544830236123e-06,
+      "loss": 0.7802,
+      "step": 18365
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.87354321519601e-06,
+      "loss": 0.81,
+      "step": 18366
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.872541698539113e-06,
+      "loss": 0.6356,
+      "step": 18367
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.871540280281521e-06,
+      "loss": 0.7851,
+      "step": 18368
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.870538960439311e-06,
+      "loss": 0.7527,
+      "step": 18369
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.869537739028563e-06,
+      "loss": 0.7206,
+      "step": 18370
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.868536616065358e-06,
+      "loss": 0.7521,
+      "step": 18371
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8675355915657755e-06,
+      "loss": 0.7766,
+      "step": 18372
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.866534665545882e-06,
+      "loss": 0.7947,
+      "step": 18373
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8655338380217575e-06,
+      "loss": 0.9442,
+      "step": 18374
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8645331090094755e-06,
+      "loss": 0.8456,
+      "step": 18375
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8635324785251e-06,
+      "loss": 0.8176,
+      "step": 18376
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.862531946584705e-06,
+      "loss": 0.9117,
+      "step": 18377
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.861531513204354e-06,
+      "loss": 0.8106,
+      "step": 18378
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.86053117840012e-06,
+      "loss": 0.5321,
+      "step": 18379
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.859530942188058e-06,
+      "loss": 0.798,
+      "step": 18380
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8585308045842375e-06,
+      "loss": 0.7088,
+      "step": 18381
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.857530765604713e-06,
+      "loss": 0.9029,
+      "step": 18382
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.856530825265549e-06,
+      "loss": 0.7904,
+      "step": 18383
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.855530983582801e-06,
+      "loss": 0.691,
+      "step": 18384
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.854531240572529e-06,
+      "loss": 0.7105,
+      "step": 18385
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.853531596250781e-06,
+      "loss": 0.7516,
+      "step": 18386
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.852532050633615e-06,
+      "loss": 0.899,
+      "step": 18387
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8515326037370805e-06,
+      "loss": 0.8845,
+      "step": 18388
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.85053325557723e-06,
+      "loss": 0.7095,
+      "step": 18389
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.849534006170108e-06,
+      "loss": 0.6267,
+      "step": 18390
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.848534855531766e-06,
+      "loss": 0.7312,
+      "step": 18391
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.847535803678238e-06,
+      "loss": 0.829,
+      "step": 18392
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.846536850625583e-06,
+      "loss": 0.7188,
+      "step": 18393
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.845537996389832e-06,
+      "loss": 0.7008,
+      "step": 18394
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.844539240987033e-06,
+      "loss": 0.8266,
+      "step": 18395
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.843540584433213e-06,
+      "loss": 0.7752,
+      "step": 18396
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.842542026744423e-06,
+      "loss": 0.876,
+      "step": 18397
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.841543567936691e-06,
+      "loss": 0.8217,
+      "step": 18398
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.840545208026054e-06,
+      "loss": 0.6648,
+      "step": 18399
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.839546947028536e-06,
+      "loss": 0.7572,
+      "step": 18400
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.838548784960182e-06,
+      "loss": 0.8232,
+      "step": 18401
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.83755072183701e-06,
+      "loss": 0.9143,
+      "step": 18402
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.836552757675055e-06,
+      "loss": 0.7486,
+      "step": 18403
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.835554892490335e-06,
+      "loss": 0.6773,
+      "step": 18404
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.83455712629888e-06,
+      "loss": 0.7608,
+      "step": 18405
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8335594591167114e-06,
+      "loss": 0.8135,
+      "step": 18406
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.832561890959855e-06,
+      "loss": 0.7829,
+      "step": 18407
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.831564421844323e-06,
+      "loss": 0.7855,
+      "step": 18408
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.830567051786136e-06,
+      "loss": 0.7809,
+      "step": 18409
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8295697808013124e-06,
+      "loss": 0.617,
+      "step": 18410
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8285726089058685e-06,
+      "loss": 0.8504,
+      "step": 18411
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.827575536115813e-06,
+      "loss": 0.8789,
+      "step": 18412
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.826578562447162e-06,
+      "loss": 0.7913,
+      "step": 18413
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.825581687915922e-06,
+      "loss": 0.6777,
+      "step": 18414
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.824584912538101e-06,
+      "loss": 0.7725,
+      "step": 18415
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8235882363297095e-06,
+      "loss": 0.8316,
+      "step": 18416
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.822591659306754e-06,
+      "loss": 0.8112,
+      "step": 18417
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.821595181485232e-06,
+      "loss": 0.8654,
+      "step": 18418
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.820598802881151e-06,
+      "loss": 0.6739,
+      "step": 18419
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8196025235105124e-06,
+      "loss": 0.6816,
+      "step": 18420
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.81860634338931e-06,
+      "loss": 0.8928,
+      "step": 18421
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.817610262533543e-06,
+      "loss": 0.6451,
+      "step": 18422
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.816614280959209e-06,
+      "loss": 0.5994,
+      "step": 18423
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.815618398682305e-06,
+      "loss": 0.711,
+      "step": 18424
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.814622615718816e-06,
+      "loss": 0.8613,
+      "step": 18425
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8136269320847406e-06,
+      "loss": 0.5879,
+      "step": 18426
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8126313477960577e-06,
+      "loss": 0.7439,
+      "step": 18427
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.81163586286877e-06,
+      "loss": 0.6182,
+      "step": 18428
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.810640477318851e-06,
+      "loss": 0.7747,
+      "step": 18429
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8096451911622945e-06,
+      "loss": 0.7993,
+      "step": 18430
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8086500044150753e-06,
+      "loss": 0.857,
+      "step": 18431
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.80765491709318e-06,
+      "loss": 0.6836,
+      "step": 18432
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.806659929212586e-06,
+      "loss": 0.8184,
+      "step": 18433
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.805665040789277e-06,
+      "loss": 0.7409,
+      "step": 18434
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.804670251839222e-06,
+      "loss": 0.7659,
+      "step": 18435
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8036755623783994e-06,
+      "loss": 0.674,
+      "step": 18436
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.802680972422783e-06,
+      "loss": 0.7017,
+      "step": 18437
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.801686481988348e-06,
+      "loss": 0.847,
+      "step": 18438
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8006920910910583e-06,
+      "loss": 0.8429,
+      "step": 18439
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7996977997468874e-06,
+      "loss": 0.6987,
+      "step": 18440
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.798703607971795e-06,
+      "loss": 0.887,
+      "step": 18441
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.797709515781758e-06,
+      "loss": 0.7618,
+      "step": 18442
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.796715523192731e-06,
+      "loss": 0.7515,
+      "step": 18443
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7957216302206833e-06,
+      "loss": 0.8131,
+      "step": 18444
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7947278368815644e-06,
+      "loss": 0.829,
+      "step": 18445
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7937341431913486e-06,
+      "loss": 0.7422,
+      "step": 18446
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7927405491659818e-06,
+      "loss": 0.8932,
+      "step": 18447
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.791747054821426e-06,
+      "loss": 0.8651,
+      "step": 18448
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7907536601736306e-06,
+      "loss": 0.7561,
+      "step": 18449
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7897603652385505e-06,
+      "loss": 0.7615,
+      "step": 18450
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7887671700321383e-06,
+      "loss": 0.8229,
+      "step": 18451
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.787774074570344e-06,
+      "loss": 0.757,
+      "step": 18452
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7867810788691105e-06,
+      "loss": 0.7779,
+      "step": 18453
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7857881829443887e-06,
+      "loss": 0.818,
+      "step": 18454
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.78479538681212e-06,
+      "loss": 0.8432,
+      "step": 18455
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7838026904882543e-06,
+      "loss": 0.8013,
+      "step": 18456
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7828100939887235e-06,
+      "loss": 0.6351,
+      "step": 18457
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7818175973294722e-06,
+      "loss": 0.6682,
+      "step": 18458
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7808252005264422e-06,
+      "loss": 0.6687,
+      "step": 18459
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7798329035955627e-06,
+      "loss": 0.7495,
+      "step": 18460
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.778840706552773e-06,
+      "loss": 0.9002,
+      "step": 18461
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7778486094140086e-06,
+      "loss": 0.8141,
+      "step": 18462
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7768566121951966e-06,
+      "loss": 0.721,
+      "step": 18463
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7758647149122683e-06,
+      "loss": 0.7906,
+      "step": 18464
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7748729175811573e-06,
+      "loss": 0.7867,
+      "step": 18465
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7738812202177832e-06,
+      "loss": 0.7794,
+      "step": 18466
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.772889622838074e-06,
+      "loss": 0.8711,
+      "step": 18467
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7718981254579557e-06,
+      "loss": 0.8797,
+      "step": 18468
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.770906728093352e-06,
+      "loss": 0.7456,
+      "step": 18469
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.769915430760178e-06,
+      "loss": 0.6814,
+      "step": 18470
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.768924233474358e-06,
+      "loss": 0.6554,
+      "step": 18471
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.767933136251801e-06,
+      "loss": 0.762,
+      "step": 18472
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.766942139108435e-06,
+      "loss": 0.7885,
+      "step": 18473
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.765951242060164e-06,
+      "loss": 0.7449,
+      "step": 18474
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7649604451229082e-06,
+      "loss": 0.8691,
+      "step": 18475
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.763969748312568e-06,
+      "loss": 0.689,
+      "step": 18476
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7629791516450652e-06,
+      "loss": 0.6616,
+      "step": 18477
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7619886551362992e-06,
+      "loss": 0.7637,
+      "step": 18478
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7609982588021833e-06,
+      "loss": 0.8078,
+      "step": 18479
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.760007962658613e-06,
+      "loss": 0.9708,
+      "step": 18480
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7590177667214957e-06,
+      "loss": 0.6633,
+      "step": 18481
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.758027671006732e-06,
+      "loss": 0.7367,
+      "step": 18482
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7570376755302263e-06,
+      "loss": 0.7947,
+      "step": 18483
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7560477803078687e-06,
+      "loss": 0.8894,
+      "step": 18484
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.75505798535556e-06,
+      "loss": 0.7494,
+      "step": 18485
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7540682906891957e-06,
+      "loss": 0.702,
+      "step": 18486
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.75307869632467e-06,
+      "loss": 0.728,
+      "step": 18487
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.75208920227787e-06,
+      "loss": 0.7498,
+      "step": 18488
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.751099808564692e-06,
+      "loss": 0.6876,
+      "step": 18489
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7501105152010132e-06,
+      "loss": 0.79,
+      "step": 18490
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7491213222027347e-06,
+      "loss": 0.7595,
+      "step": 18491
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7481322295857327e-06,
+      "loss": 0.7837,
+      "step": 18492
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7471432373658955e-06,
+      "loss": 0.7657,
+      "step": 18493
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7461543455590952e-06,
+      "loss": 0.6312,
+      "step": 18494
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.745165554181228e-06,
+      "loss": 0.583,
+      "step": 18495
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.74417686324816e-06,
+      "loss": 0.6951,
+      "step": 18496
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.743188272775776e-06,
+      "loss": 0.6428,
+      "step": 18497
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.742199782779945e-06,
+      "loss": 0.6948,
+      "step": 18498
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7412113932765436e-06,
+      "loss": 0.6894,
+      "step": 18499
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.740223104281445e-06,
+      "loss": 0.8876,
+      "step": 18500
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7392349158105223e-06,
+      "loss": 0.8388,
+      "step": 18501
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7382468278796393e-06,
+      "loss": 0.6411,
+      "step": 18502
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.737258840504665e-06,
+      "loss": 0.7132,
+      "step": 18503
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7362709537014696e-06,
+      "loss": 0.6374,
+      "step": 18504
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7352831674859103e-06,
+      "loss": 0.8564,
+      "step": 18505
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.734295481873853e-06,
+      "loss": 0.7283,
+      "step": 18506
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.733307896881162e-06,
+      "loss": 0.8095,
+      "step": 18507
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.732320412523691e-06,
+      "loss": 0.7744,
+      "step": 18508
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7313330288173e-06,
+      "loss": 0.753,
+      "step": 18509
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7303457457778493e-06,
+      "loss": 0.7581,
+      "step": 18510
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.729358563421186e-06,
+      "loss": 0.8525,
+      "step": 18511
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7283714817631665e-06,
+      "loss": 0.7075,
+      "step": 18512
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.727384500819642e-06,
+      "loss": 0.7134,
+      "step": 18513
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7263976206064657e-06,
+      "loss": 0.773,
+      "step": 18514
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7254108411394794e-06,
+      "loss": 0.7011,
+      "step": 18515
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.724424162434532e-06,
+      "loss": 0.7205,
+      "step": 18516
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7234375845074686e-06,
+      "loss": 0.696,
+      "step": 18517
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7224511073741376e-06,
+      "loss": 0.7067,
+      "step": 18518
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7214647310503704e-06,
+      "loss": 0.6948,
+      "step": 18519
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.720478455552017e-06,
+      "loss": 0.7115,
+      "step": 18520
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.719492280894903e-06,
+      "loss": 0.7302,
+      "step": 18521
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7185062070948806e-06,
+      "loss": 0.6843,
+      "step": 18522
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.717520234167773e-06,
+      "loss": 0.7814,
+      "step": 18523
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7165343621294227e-06,
+      "loss": 0.8328,
+      "step": 18524
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.715548590995649e-06,
+      "loss": 0.7661,
+      "step": 18525
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7145629207822973e-06,
+      "loss": 0.7811,
+      "step": 18526
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7135773515051866e-06,
+      "loss": 0.7988,
+      "step": 18527
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.712591883180149e-06,
+      "loss": 0.7506,
+      "step": 18528
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.711606515823003e-06,
+      "loss": 0.8051,
+      "step": 18529
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.7106212494495776e-06,
+      "loss": 0.8335,
+      "step": 18530
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.709636084075693e-06,
+      "loss": 0.6092,
+      "step": 18531
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.7086510197171744e-06,
+      "loss": 0.8749,
+      "step": 18532
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.7076660563898336e-06,
+      "loss": 0.6421,
+      "step": 18533
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.7066811941094915e-06,
+      "loss": 0.7076,
+      "step": 18534
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.705696432891963e-06,
+      "loss": 0.6449,
+      "step": 18535
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.704711772753066e-06,
+      "loss": 0.7666,
+      "step": 18536
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.7037272137086067e-06,
+      "loss": 0.7982,
+      "step": 18537
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.702742755774401e-06,
+      "loss": 0.824,
+      "step": 18538
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.70175839896625e-06,
+      "loss": 0.7448,
+      "step": 18539
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.7007741432999734e-06,
+      "loss": 0.7608,
+      "step": 18540
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.699789988791367e-06,
+      "loss": 0.8769,
+      "step": 18541
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.698805935456242e-06,
+      "loss": 0.7869,
+      "step": 18542
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6978219833103946e-06,
+      "loss": 0.9236,
+      "step": 18543
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.69683813236963e-06,
+      "loss": 0.7402,
+      "step": 18544
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6958543826497462e-06,
+      "loss": 0.8406,
+      "step": 18545
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.694870734166545e-06,
+      "loss": 0.7847,
+      "step": 18546
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.693887186935814e-06,
+      "loss": 0.7199,
+      "step": 18547
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6929037409733546e-06,
+      "loss": 0.7856,
+      "step": 18548
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.691920396294957e-06,
+      "loss": 0.7081,
+      "step": 18549
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6909371529164174e-06,
+      "loss": 0.7665,
+      "step": 18550
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6899540108535183e-06,
+      "loss": 0.8034,
+      "step": 18551
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.68897097012205e-06,
+      "loss": 0.7734,
+      "step": 18552
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6879880307378035e-06,
+      "loss": 0.6912,
+      "step": 18553
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6870051927165562e-06,
+      "loss": 0.6301,
+      "step": 18554
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6860224560740956e-06,
+      "loss": 0.8674,
+      "step": 18555
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.685039820826205e-06,
+      "loss": 0.609,
+      "step": 18556
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.684057286988658e-06,
+      "loss": 0.8453,
+      "step": 18557
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6830748545772377e-06,
+      "loss": 0.8808,
+      "step": 18558
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6820925236077232e-06,
+      "loss": 0.8132,
+      "step": 18559
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.681110294095882e-06,
+      "loss": 0.7431,
+      "step": 18560
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6801281660574915e-06,
+      "loss": 0.7973,
+      "step": 18561
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6791461395083238e-06,
+      "loss": 0.7987,
+      "step": 18562
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.678164214464152e-06,
+      "loss": 0.7421,
+      "step": 18563
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6771823909407377e-06,
+      "loss": 0.7488,
+      "step": 18564
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6762006689538543e-06,
+      "loss": 0.7049,
+      "step": 18565
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6752190485192575e-06,
+      "loss": 0.7997,
+      "step": 18566
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6742375296527244e-06,
+      "loss": 0.7267,
+      "step": 18567
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.673256112370006e-06,
+      "loss": 0.7451,
+      "step": 18568
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.67227479668687e-06,
+      "loss": 0.868,
+      "step": 18569
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6712935826190656e-06,
+      "loss": 0.7656,
+      "step": 18570
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6703124701823623e-06,
+      "loss": 0.7519,
+      "step": 18571
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6693314593925054e-06,
+      "loss": 0.7688,
+      "step": 18572
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6683505502652563e-06,
+      "loss": 0.73,
+      "step": 18573
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6673697428163568e-06,
+      "loss": 0.7259,
+      "step": 18574
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6663890370615705e-06,
+      "loss": 0.7958,
+      "step": 18575
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6654084330166362e-06,
+      "loss": 0.7298,
+      "step": 18576
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6644279306973083e-06,
+      "loss": 0.8272,
+      "step": 18577
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6634475301193264e-06,
+      "loss": 0.8062,
+      "step": 18578
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6624672312984367e-06,
+      "loss": 0.7299,
+      "step": 18579
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6614870342503806e-06,
+      "loss": 0.7439,
+      "step": 18580
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6605069389909044e-06,
+      "loss": 0.6581,
+      "step": 18581
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6595269455357395e-06,
+      "loss": 0.6346,
+      "step": 18582
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6585470539006274e-06,
+      "loss": 0.7343,
+      "step": 18583
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6575672641013028e-06,
+      "loss": 0.7347,
+      "step": 18584
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6565875761535032e-06,
+      "loss": 0.8155,
+      "step": 18585
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6556079900729555e-06,
+      "loss": 0.8156,
+      "step": 18586
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.654628505875397e-06,
+      "loss": 0.7799,
+      "step": 18587
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.653649123576547e-06,
+      "loss": 0.6731,
+      "step": 18588
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6526698431921458e-06,
+      "loss": 0.7852,
+      "step": 18589
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6516906647379103e-06,
+      "loss": 0.8314,
+      "step": 18590
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.650711588229572e-06,
+      "loss": 0.6811,
+      "step": 18591
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.649732613682845e-06,
+      "loss": 0.8326,
+      "step": 18592
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6487537411134545e-06,
+      "loss": 0.7298,
+      "step": 18593
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6477749705371215e-06,
+      "loss": 0.7467,
+      "step": 18594
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.646796301969565e-06,
+      "loss": 0.7511,
+      "step": 18595
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6458177354264967e-06,
+      "loss": 0.6525,
+      "step": 18596
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6448392709236324e-06,
+      "loss": 0.7765,
+      "step": 18597
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6438609084766894e-06,
+      "loss": 0.7322,
+      "step": 18598
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6428826481013725e-06,
+      "loss": 0.8232,
+      "step": 18599
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.641904489813395e-06,
+      "loss": 0.8167,
+      "step": 18600
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6409264336284635e-06,
+      "loss": 0.6842,
+      "step": 18601
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6399484795622874e-06,
+      "loss": 0.8108,
+      "step": 18602
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.638970627630567e-06,
+      "loss": 0.807,
+      "step": 18603
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6379928778490117e-06,
+      "loss": 0.8524,
+      "step": 18604
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.637015230233314e-06,
+      "loss": 0.8765,
+      "step": 18605
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6360376847991785e-06,
+      "loss": 0.7119,
+      "step": 18606
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.635060241562304e-06,
+      "loss": 0.6836,
+      "step": 18607
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6340829005383893e-06,
+      "loss": 0.8283,
+      "step": 18608
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6331056617431224e-06,
+      "loss": 0.7576,
+      "step": 18609
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.632128525192201e-06,
+      "loss": 0.9033,
+      "step": 18610
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6311514909013155e-06,
+      "loss": 0.7513,
+      "step": 18611
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.63017455888616e-06,
+      "loss": 0.7318,
+      "step": 18612
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.629197729162417e-06,
+      "loss": 0.722,
+      "step": 18613
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6282210017457775e-06,
+      "loss": 0.743,
+      "step": 18614
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6272443766519183e-06,
+      "loss": 0.7485,
+      "step": 18615
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6262678538965357e-06,
+      "loss": 0.7394,
+      "step": 18616
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6252914334953017e-06,
+      "loss": 0.7754,
+      "step": 18617
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.624315115463901e-06,
+      "loss": 0.7876,
+      "step": 18618
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6233388998180054e-06,
+      "loss": 0.7926,
+      "step": 18619
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6223627865733025e-06,
+      "loss": 0.7742,
+      "step": 18620
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6213867757454578e-06,
+      "loss": 0.7928,
+      "step": 18621
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6204108673501526e-06,
+      "loss": 0.7568,
+      "step": 18622
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6194350614030514e-06,
+      "loss": 0.6947,
+      "step": 18623
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.618459357919828e-06,
+      "loss": 0.6161,
+      "step": 18624
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6174837569161513e-06,
+      "loss": 0.7668,
+      "step": 18625
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6165082584076906e-06,
+      "loss": 0.7852,
+      "step": 18626
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6155328624101036e-06,
+      "loss": 0.8151,
+      "step": 18627
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.614557568939061e-06,
+      "loss": 0.7353,
+      "step": 18628
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.613582378010221e-06,
+      "loss": 0.7848,
+      "step": 18629
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.612607289639248e-06,
+      "loss": 0.7301,
+      "step": 18630
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.611632303841797e-06,
+      "loss": 0.6848,
+      "step": 18631
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6106574206335244e-06,
+      "loss": 0.8849,
+      "step": 18632
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6096826400300875e-06,
+      "loss": 0.7683,
+      "step": 18633
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6087079620471443e-06,
+      "loss": 0.8444,
+      "step": 18634
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6077333867003382e-06,
+      "loss": 0.8779,
+      "step": 18635
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.606758914005327e-06,
+      "loss": 0.7689,
+      "step": 18636
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.605784543977754e-06,
+      "loss": 0.7936,
+      "step": 18637
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6048102766332683e-06,
+      "loss": 0.7591,
+      "step": 18638
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6038361119875154e-06,
+      "loss": 0.8591,
+      "step": 18639
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.602862050056144e-06,
+      "loss": 0.8175,
+      "step": 18640
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6018880908547884e-06,
+      "loss": 0.731,
+      "step": 18641
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6009142343990934e-06,
+      "loss": 0.7421,
+      "step": 18642
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5999404807047e-06,
+      "loss": 0.8162,
+      "step": 18643
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5989668297872392e-06,
+      "loss": 0.7937,
+      "step": 18644
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.59799328166235e-06,
+      "loss": 0.7575,
+      "step": 18645
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5970198363456665e-06,
+      "loss": 0.7623,
+      "step": 18646
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.596046493852825e-06,
+      "loss": 0.7851,
+      "step": 18647
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5950732541994494e-06,
+      "loss": 0.8117,
+      "step": 18648
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5941001174011738e-06,
+      "loss": 0.7156,
+      "step": 18649
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5931270834736164e-06,
+      "loss": 0.6907,
+      "step": 18650
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5921541524324165e-06,
+      "loss": 0.6399,
+      "step": 18651
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.591181324293189e-06,
+      "loss": 0.7461,
+      "step": 18652
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.590208599071562e-06,
+      "loss": 0.9043,
+      "step": 18653
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.589235976783149e-06,
+      "loss": 0.8407,
+      "step": 18654
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5882634574435737e-06,
+      "loss": 0.7986,
+      "step": 18655
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5872910410684525e-06,
+      "loss": 0.8116,
+      "step": 18656
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5863187276734045e-06,
+      "loss": 0.7229,
+      "step": 18657
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5853465172740387e-06,
+      "loss": 0.7277,
+      "step": 18658
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.584374409885969e-06,
+      "loss": 0.6626,
+      "step": 18659
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5834024055248072e-06,
+      "loss": 0.9067,
+      "step": 18660
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5824305042061656e-06,
+      "loss": 0.8384,
+      "step": 18661
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5814587059456453e-06,
+      "loss": 0.7228,
+      "step": 18662
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5804870107588585e-06,
+      "loss": 0.8298,
+      "step": 18663
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.579515418661399e-06,
+      "loss": 0.6466,
+      "step": 18664
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.578543929668884e-06,
+      "loss": 0.581,
+      "step": 18665
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5775725437969033e-06,
+      "loss": 0.6704,
+      "step": 18666
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5766012610610635e-06,
+      "loss": 0.7727,
+      "step": 18667
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.575630081476952e-06,
+      "loss": 0.7592,
+      "step": 18668
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.574659005060177e-06,
+      "loss": 0.7911,
+      "step": 18669
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5736880318263243e-06,
+      "loss": 0.8246,
+      "step": 18670
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.572717161790993e-06,
+      "loss": 0.7273,
+      "step": 18671
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5717463949697663e-06,
+      "loss": 0.7901,
+      "step": 18672
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5707757313782366e-06,
+      "loss": 0.8739,
+      "step": 18673
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5698051710319936e-06,
+      "loss": 0.6814,
+      "step": 18674
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.568834713946625e-06,
+      "loss": 0.7473,
+      "step": 18675
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.567864360137708e-06,
+      "loss": 0.7312,
+      "step": 18676
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.566894109620831e-06,
+      "loss": 0.7598,
+      "step": 18677
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.565923962411573e-06,
+      "loss": 0.8792,
+      "step": 18678
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5649539185255167e-06,
+      "loss": 0.8149,
+      "step": 18679
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5639839779782336e-06,
+      "loss": 0.7191,
+      "step": 18680
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5630141407853068e-06,
+      "loss": 0.6824,
+      "step": 18681
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.562044406962303e-06,
+      "loss": 0.7927,
+      "step": 18682
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.561074776524799e-06,
+      "loss": 0.7681,
+      "step": 18683
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.560105249488366e-06,
+      "loss": 0.8304,
+      "step": 18684
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.559135825868576e-06,
+      "loss": 0.7855,
+      "step": 18685
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5581665056809912e-06,
+      "loss": 0.7465,
+      "step": 18686
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.557197288941179e-06,
+      "loss": 0.7568,
+      "step": 18687
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.556228175664709e-06,
+      "loss": 0.7794,
+      "step": 18688
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5552591658671365e-06,
+      "loss": 0.8012,
+      "step": 18689
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5542902595640273e-06,
+      "loss": 0.6846,
+      "step": 18690
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5533214567709383e-06,
+      "loss": 0.7012,
+      "step": 18691
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.552352757503432e-06,
+      "loss": 0.6714,
+      "step": 18692
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5513841617770583e-06,
+      "loss": 0.8794,
+      "step": 18693
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5504156696073767e-06,
+      "loss": 0.5921,
+      "step": 18694
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5494472810099325e-06,
+      "loss": 0.7283,
+      "step": 18695
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5484789960002876e-06,
+      "loss": 0.7102,
+      "step": 18696
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.547510814593982e-06,
+      "loss": 0.7235,
+      "step": 18697
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5465427368065717e-06,
+      "loss": 0.7854,
+      "step": 18698
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5455747626535907e-06,
+      "loss": 0.7869,
+      "step": 18699
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5446068921505994e-06,
+      "loss": 0.7169,
+      "step": 18700
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5436391253131275e-06,
+      "loss": 0.8216,
+      "step": 18701
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.542671462156725e-06,
+      "loss": 0.7806,
+      "step": 18702
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5417039026969246e-06,
+      "loss": 0.7163,
+      "step": 18703
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5407364469492657e-06,
+      "loss": 0.6608,
+      "step": 18704
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.539769094929286e-06,
+      "loss": 0.6831,
+      "step": 18705
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5388018466525233e-06,
+      "loss": 0.7683,
+      "step": 18706
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5378347021345026e-06,
+      "loss": 0.7241,
+      "step": 18707
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5368676613907595e-06,
+      "loss": 0.7789,
+      "step": 18708
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5359007244368225e-06,
+      "loss": 0.8813,
+      "step": 18709
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5349338912882238e-06,
+      "loss": 0.8621,
+      "step": 18710
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.533967161960481e-06,
+      "loss": 0.789,
+      "step": 18711
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5330005364691276e-06,
+      "loss": 0.8355,
+      "step": 18712
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.532034014829675e-06,
+      "loss": 0.8067,
+      "step": 18713
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5310675970576593e-06,
+      "loss": 0.7081,
+      "step": 18714
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5301012831685866e-06,
+      "loss": 0.7427,
+      "step": 18715
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5291350731779848e-06,
+      "loss": 0.7963,
+      "step": 18716
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5281689671013574e-06,
+      "loss": 0.8396,
+      "step": 18717
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.527202964954235e-06,
+      "loss": 0.6714,
+      "step": 18718
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.526237066752117e-06,
+      "loss": 0.8024,
+      "step": 18719
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5252712725105245e-06,
+      "loss": 0.643,
+      "step": 18720
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5243055822449577e-06,
+      "loss": 0.9205,
+      "step": 18721
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.523339995970929e-06,
+      "loss": 0.7751,
+      "step": 18722
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5223745137039446e-06,
+      "loss": 0.7186,
+      "step": 18723
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5214091354595125e-06,
+      "loss": 0.7108,
+      "step": 18724
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5204438612531264e-06,
+      "loss": 0.7503,
+      "step": 18725
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5194786911002944e-06,
+      "loss": 0.9509,
+      "step": 18726
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5185136250165163e-06,
+      "loss": 0.8012,
+      "step": 18727
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.517548663017285e-06,
+      "loss": 0.7559,
+      "step": 18728
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5165838051180988e-06,
+      "loss": 0.8269,
+      "step": 18729
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5156190513344556e-06,
+      "loss": 0.6871,
+      "step": 18730
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5146544016818417e-06,
+      "loss": 0.7318,
+      "step": 18731
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5136898561757517e-06,
+      "loss": 0.8033,
+      "step": 18732
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.512725414831678e-06,
+      "loss": 0.6706,
+      "step": 18733
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5117610776651023e-06,
+      "loss": 0.5909,
+      "step": 18734
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.510796844691513e-06,
+      "loss": 0.701,
+      "step": 18735
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5098327159263957e-06,
+      "loss": 0.8583,
+      "step": 18736
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5088686913852353e-06,
+      "loss": 0.7243,
+      "step": 18737
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5079047710835055e-06,
+      "loss": 0.7493,
+      "step": 18738
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.506940955036695e-06,
+      "loss": 0.7235,
+      "step": 18739
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.505977243260269e-06,
+      "loss": 0.8117,
+      "step": 18740
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5050136357697174e-06,
+      "loss": 0.7735,
+      "step": 18741
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5040501325805055e-06,
+      "loss": 0.7274,
+      "step": 18742
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.503086733708111e-06,
+      "loss": 0.7921,
+      "step": 18743
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.502123439167997e-06,
+      "loss": 0.7724,
+      "step": 18744
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5011602489756437e-06,
+      "loss": 0.7149,
+      "step": 18745
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5001971631465117e-06,
+      "loss": 0.7521,
+      "step": 18746
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4992341816960693e-06,
+      "loss": 0.7653,
+      "step": 18747
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4982713046397755e-06,
+      "loss": 0.758,
+      "step": 18748
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4973085319931034e-06,
+      "loss": 0.6587,
+      "step": 18749
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.496345863771504e-06,
+      "loss": 0.8915,
+      "step": 18750
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4953832999904446e-06,
+      "loss": 0.7507,
+      "step": 18751
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.494420840665376e-06,
+      "loss": 0.7984,
+      "step": 18752
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.493458485811756e-06,
+      "loss": 0.7506,
+      "step": 18753
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4924962354450388e-06,
+      "loss": 0.7263,
+      "step": 18754
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4915340895806816e-06,
+      "loss": 0.7735,
+      "step": 18755
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4905720482341287e-06,
+      "loss": 0.7204,
+      "step": 18756
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4896101114208313e-06,
+      "loss": 0.6924,
+      "step": 18757
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.488648279156237e-06,
+      "loss": 0.8031,
+      "step": 18758
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4876865514557966e-06,
+      "loss": 0.674,
+      "step": 18759
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.486724928334946e-06,
+      "loss": 0.7758,
+      "step": 18760
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4857634098091353e-06,
+      "loss": 0.7324,
+      "step": 18761
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.484801995893794e-06,
+      "loss": 0.7484,
+      "step": 18762
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.483840686604375e-06,
+      "loss": 0.665,
+      "step": 18763
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.482879481956307e-06,
+      "loss": 0.7652,
+      "step": 18764
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4819183819650303e-06,
+      "loss": 0.8225,
+      "step": 18765
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4809573866459744e-06,
+      "loss": 0.8248,
+      "step": 18766
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4799964960145738e-06,
+      "loss": 0.7146,
+      "step": 18767
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4790357100862604e-06,
+      "loss": 0.6428,
+      "step": 18768
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.478075028876464e-06,
+      "loss": 0.8375,
+      "step": 18769
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4771144524006072e-06,
+      "loss": 0.7729,
+      "step": 18770
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4761539806741194e-06,
+      "loss": 0.7964,
+      "step": 18771
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4751936137124265e-06,
+      "loss": 0.7,
+      "step": 18772
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4742333515309457e-06,
+      "loss": 0.8991,
+      "step": 18773
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.473273194145099e-06,
+      "loss": 0.7707,
+      "step": 18774
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.472313141570307e-06,
+      "loss": 0.641,
+      "step": 18775
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.471353193821989e-06,
+      "loss": 0.8411,
+      "step": 18776
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.470393350915555e-06,
+      "loss": 0.8168,
+      "step": 18777
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.469433612866425e-06,
+      "loss": 0.7766,
+      "step": 18778
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4684739796900045e-06,
+      "loss": 0.713,
+      "step": 18779
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4675144514017078e-06,
+      "loss": 0.7738,
+      "step": 18780
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4665550280169435e-06,
+      "loss": 0.7276,
+      "step": 18781
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4655957095511206e-06,
+      "loss": 0.6563,
+      "step": 18782
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.464636496019641e-06,
+      "loss": 0.7759,
+      "step": 18783
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.463677387437908e-06,
+      "loss": 0.8366,
+      "step": 18784
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4627183838213274e-06,
+      "loss": 0.7638,
+      "step": 18785
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.461759485185301e-06,
+      "loss": 0.7641,
+      "step": 18786
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.46080069154522e-06,
+      "loss": 0.8126,
+      "step": 18787
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4598420029164905e-06,
+      "loss": 0.7342,
+      "step": 18788
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.458883419314495e-06,
+      "loss": 0.6674,
+      "step": 18789
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4579249407546435e-06,
+      "loss": 0.6567,
+      "step": 18790
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4569665672523155e-06,
+      "loss": 0.7889,
+      "step": 18791
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4560082988229093e-06,
+      "loss": 0.7682,
+      "step": 18792
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4550501354818023e-06,
+      "loss": 0.6812,
+      "step": 18793
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4540920772443966e-06,
+      "loss": 0.7863,
+      "step": 18794
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4531341241260653e-06,
+      "loss": 0.8127,
+      "step": 18795
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4521762761421996e-06,
+      "loss": 0.8888,
+      "step": 18796
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.451218533308176e-06,
+      "loss": 0.682,
+      "step": 18797
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4502608956393756e-06,
+      "loss": 0.6309,
+      "step": 18798
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4493033631511786e-06,
+      "loss": 0.7621,
+      "step": 18799
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4483459358589634e-06,
+      "loss": 0.8546,
+      "step": 18800
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4473886137781e-06,
+      "loss": 0.7973,
+      "step": 18801
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.446431396923965e-06,
+      "loss": 0.7405,
+      "step": 18802
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4454742853119293e-06,
+      "loss": 0.7897,
+      "step": 18803
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4445172789573666e-06,
+      "loss": 0.7268,
+      "step": 18804
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4435603778756386e-06,
+      "loss": 0.7312,
+      "step": 18805
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4426035820821156e-06,
+      "loss": 0.7431,
+      "step": 18806
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4416468915921617e-06,
+      "loss": 0.7068,
+      "step": 18807
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.440690306421144e-06,
+      "loss": 0.7747,
+      "step": 18808
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4397338265844184e-06,
+      "loss": 0.7987,
+      "step": 18809
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4387774520973495e-06,
+      "loss": 0.6715,
+      "step": 18810
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4378211829752893e-06,
+      "loss": 0.8422,
+      "step": 18811
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4368650192335985e-06,
+      "loss": 0.7008,
+      "step": 18812
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4359089608876316e-06,
+      "loss": 0.8216,
+      "step": 18813
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.434953007952745e-06,
+      "loss": 0.8034,
+      "step": 18814
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4339971604442823e-06,
+      "loss": 0.9036,
+      "step": 18815
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4330414183775985e-06,
+      "loss": 0.7355,
+      "step": 18816
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4320857817680443e-06,
+      "loss": 0.8239,
+      "step": 18817
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4311302506309573e-06,
+      "loss": 0.7502,
+      "step": 18818
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.430174824981689e-06,
+      "loss": 0.9148,
+      "step": 18819
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4292195048355804e-06,
+      "loss": 0.7214,
+      "step": 18820
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4282642902079755e-06,
+      "loss": 0.6881,
+      "step": 18821
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.427309181114208e-06,
+      "loss": 0.7691,
+      "step": 18822
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4263541775696195e-06,
+      "loss": 0.7428,
+      "step": 18823
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4253992795895454e-06,
+      "loss": 0.7731,
+      "step": 18824
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4244444871893236e-06,
+      "loss": 0.7999,
+      "step": 18825
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.423489800384281e-06,
+      "loss": 0.8385,
+      "step": 18826
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.422535219189753e-06,
+      "loss": 0.7532,
+      "step": 18827
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.421580743621066e-06,
+      "loss": 0.7641,
+      "step": 18828
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4206263736935486e-06,
+      "loss": 0.9174,
+      "step": 18829
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.419672109422527e-06,
+      "loss": 0.7449,
+      "step": 18830
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.418717950823328e-06,
+      "loss": 0.7366,
+      "step": 18831
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4177638979112706e-06,
+      "loss": 0.776,
+      "step": 18832
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.416809950701675e-06,
+      "loss": 0.6807,
+      "step": 18833
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.415856109209864e-06,
+      "loss": 0.7568,
+      "step": 18834
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4149023734511553e-06,
+      "loss": 0.856,
+      "step": 18835
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4139487434408615e-06,
+      "loss": 0.7102,
+      "step": 18836
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4129952191942995e-06,
+      "loss": 0.7676,
+      "step": 18837
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.412041800726775e-06,
+      "loss": 0.7817,
+      "step": 18838
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.41108848805361e-06,
+      "loss": 0.8438,
+      "step": 18839
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4101352811901044e-06,
+      "loss": 0.8704,
+      "step": 18840
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4091821801515724e-06,
+      "loss": 0.7192,
+      "step": 18841
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.408229184953308e-06,
+      "loss": 0.754,
+      "step": 18842
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.40727629561063e-06,
+      "loss": 0.8296,
+      "step": 18843
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4063235121388305e-06,
+      "loss": 0.6636,
+      "step": 18844
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4053708345532166e-06,
+      "loss": 0.7326,
+      "step": 18845
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4044182628690803e-06,
+      "loss": 0.7633,
+      "step": 18846
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4034657971017215e-06,
+      "loss": 0.7491,
+      "step": 18847
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.402513437266436e-06,
+      "loss": 0.6988,
+      "step": 18848
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4015611833785213e-06,
+      "loss": 0.7761,
+      "step": 18849
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4006090354532617e-06,
+      "loss": 0.8093,
+      "step": 18850
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.399656993505952e-06,
+      "loss": 0.8075,
+      "step": 18851
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.398705057551881e-06,
+      "loss": 0.8599,
+      "step": 18852
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3977532276063373e-06,
+      "loss": 0.842,
+      "step": 18853
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3968015036846003e-06,
+      "loss": 0.7488,
+      "step": 18854
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.395849885801961e-06,
+      "loss": 0.8069,
+      "step": 18855
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3948983739736896e-06,
+      "loss": 0.7239,
+      "step": 18856
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3939469682150807e-06,
+      "loss": 0.779,
+      "step": 18857
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.392995668541402e-06,
+      "loss": 0.8453,
+      "step": 18858
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3920444749679372e-06,
+      "loss": 0.9056,
+      "step": 18859
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3910933875099548e-06,
+      "loss": 0.7175,
+      "step": 18860
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3901424061827315e-06,
+      "loss": 0.7726,
+      "step": 18861
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3891915310015378e-06,
+      "loss": 0.7173,
+      "step": 18862
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.388240761981648e-06,
+      "loss": 0.7758,
+      "step": 18863
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.387290099138324e-06,
+      "loss": 0.7945,
+      "step": 18864
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.386339542486834e-06,
+      "loss": 0.8073,
+      "step": 18865
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.385389092042447e-06,
+      "loss": 0.7187,
+      "step": 18866
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.384438747820419e-06,
+      "loss": 0.7533,
+      "step": 18867
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3834885098360148e-06,
+      "loss": 0.804,
+      "step": 18868
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.382538378104495e-06,
+      "loss": 0.6729,
+      "step": 18869
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3815883526411197e-06,
+      "loss": 0.7691,
+      "step": 18870
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3806384334611386e-06,
+      "loss": 0.6836,
+      "step": 18871
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.379688620579813e-06,
+      "loss": 0.849,
+      "step": 18872
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.378738914012386e-06,
+      "loss": 0.7577,
+      "step": 18873
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3777893137741214e-06,
+      "loss": 0.7634,
+      "step": 18874
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.37683981988026e-06,
+      "loss": 0.8616,
+      "step": 18875
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.375890432346054e-06,
+      "loss": 0.7901,
+      "step": 18876
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3749411511867436e-06,
+      "loss": 0.7261,
+      "step": 18877
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.373991976417578e-06,
+      "loss": 0.711,
+      "step": 18878
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3730429080537975e-06,
+      "loss": 0.6605,
+      "step": 18879
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.372093946110647e-06,
+      "loss": 0.7946,
+      "step": 18880
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3711450906033603e-06,
+      "loss": 0.6573,
+      "step": 18881
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.370196341547176e-06,
+      "loss": 0.7683,
+      "step": 18882
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3692476989573318e-06,
+      "loss": 0.613,
+      "step": 18883
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3682991628490634e-06,
+      "loss": 0.6729,
+      "step": 18884
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3673507332375966e-06,
+      "loss": 0.8482,
+      "step": 18885
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.36640241013817e-06,
+      "loss": 0.7847,
+      "step": 18886
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3654541935660014e-06,
+      "loss": 0.8027,
+      "step": 18887
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.364506083536332e-06,
+      "loss": 0.7777,
+      "step": 18888
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3635580800643765e-06,
+      "loss": 0.8067,
+      "step": 18889
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.362610183165366e-06,
+      "loss": 0.8562,
+      "step": 18890
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3616623928545113e-06,
+      "loss": 0.6971,
+      "step": 18891
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.360714709147047e-06,
+      "loss": 0.6581,
+      "step": 18892
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3597671320581825e-06,
+      "loss": 0.673,
+      "step": 18893
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.35881966160314e-06,
+      "loss": 0.7231,
+      "step": 18894
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3578722977971277e-06,
+      "loss": 0.7957,
+      "step": 18895
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3569250406553644e-06,
+      "loss": 0.6928,
+      "step": 18896
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3559778901930606e-06,
+      "loss": 0.6908,
+      "step": 18897
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.35503084642543e-06,
+      "loss": 0.8105,
+      "step": 18898
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3540839093676735e-06,
+      "loss": 0.7531,
+      "step": 18899
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3531370790350016e-06,
+      "loss": 0.6049,
+      "step": 18900
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3521903554426193e-06,
+      "loss": 0.7002,
+      "step": 18901
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.351243738605734e-06,
+      "loss": 0.8293,
+      "step": 18902
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3502972285395384e-06,
+      "loss": 0.598,
+      "step": 18903
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.34935082525924e-06,
+      "loss": 0.7388,
+      "step": 18904
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3484045287800317e-06,
+      "loss": 0.7146,
+      "step": 18905
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3474583391171102e-06,
+      "loss": 0.6841,
+      "step": 18906
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.346512256285672e-06,
+      "loss": 0.6806,
+      "step": 18907
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.345566280300914e-06,
+      "loss": 0.733,
+      "step": 18908
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.344620411178019e-06,
+      "loss": 0.747,
+      "step": 18909
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3436746489321803e-06,
+      "loss": 0.7849,
+      "step": 18910
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.342728993578589e-06,
+      "loss": 0.7888,
+      "step": 18911
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.341783445132425e-06,
+      "loss": 0.876,
+      "step": 18912
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3408380036088762e-06,
+      "loss": 0.738,
+      "step": 18913
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.339892669023125e-06,
+      "loss": 0.7295,
+      "step": 18914
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3389474413903542e-06,
+      "loss": 0.6323,
+      "step": 18915
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3380023207257374e-06,
+      "loss": 0.7483,
+      "step": 18916
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.337057307044459e-06,
+      "loss": 0.6667,
+      "step": 18917
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.336112400361685e-06,
+      "loss": 0.582,
+      "step": 18918
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3351676006926015e-06,
+      "loss": 0.7609,
+      "step": 18919
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3342229080523715e-06,
+      "loss": 0.9501,
+      "step": 18920
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.333278322456173e-06,
+      "loss": 0.6743,
+      "step": 18921
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.332333843919163e-06,
+      "loss": 0.6636,
+      "step": 18922
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3313894724565244e-06,
+      "loss": 0.9132,
+      "step": 18923
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3304452080834103e-06,
+      "loss": 0.7707,
+      "step": 18924
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3295010508149916e-06,
+      "loss": 0.8422,
+      "step": 18925
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3285570006664257e-06,
+      "loss": 0.678,
+      "step": 18926
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.327613057652873e-06,
+      "loss": 0.77,
+      "step": 18927
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3266692217894947e-06,
+      "loss": 0.707,
+      "step": 18928
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3257254930914497e-06,
+      "loss": 0.7421,
+      "step": 18929
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3247818715738867e-06,
+      "loss": 0.8425,
+      "step": 18930
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3238383572519618e-06,
+      "loss": 0.7198,
+      "step": 18931
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.322894950140827e-06,
+      "loss": 0.7352,
+      "step": 18932
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.321951650255637e-06,
+      "loss": 0.7811,
+      "step": 18933
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.321008457611531e-06,
+      "loss": 0.6859,
+      "step": 18934
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3200653722236632e-06,
+      "loss": 0.8892,
+      "step": 18935
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3191223941071694e-06,
+      "loss": 0.8232,
+      "step": 18936
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.318179523277204e-06,
+      "loss": 0.7671,
+      "step": 18937
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3172367597488998e-06,
+      "loss": 0.7134,
+      "step": 18938
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.316294103537402e-06,
+      "loss": 0.7108,
+      "step": 18939
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3153515546578395e-06,
+      "loss": 0.801,
+      "step": 18940
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.314409113125362e-06,
+      "loss": 0.7899,
+      "step": 18941
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3134667789550924e-06,
+      "loss": 0.8779,
+      "step": 18942
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.312524552162172e-06,
+      "loss": 0.7627,
+      "step": 18943
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.311582432761723e-06,
+      "loss": 0.7935,
+      "step": 18944
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.310640420768879e-06,
+      "loss": 0.7684,
+      "step": 18945
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.309698516198768e-06,
+      "loss": 0.7883,
+      "step": 18946
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3087567190665194e-06,
+      "loss": 0.7864,
+      "step": 18947
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.307815029387249e-06,
+      "loss": 0.7685,
+      "step": 18948
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3068734471760846e-06,
+      "loss": 0.8109,
+      "step": 18949
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3059319724481477e-06,
+      "loss": 0.894,
+      "step": 18950
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3049906052185534e-06,
+      "loss": 0.8074,
+      "step": 18951
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.304049345502419e-06,
+      "loss": 0.758,
+      "step": 18952
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3031081933148656e-06,
+      "loss": 0.773,
+      "step": 18953
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3021671486709993e-06,
+      "loss": 0.8582,
+      "step": 18954
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.301226211585936e-06,
+      "loss": 0.8427,
+      "step": 18955
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3002853820747893e-06,
+      "loss": 0.807,
+      "step": 18956
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2993446601526613e-06,
+      "loss": 0.7324,
+      "step": 18957
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.298404045834661e-06,
+      "loss": 0.6258,
+      "step": 18958
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2974635391358943e-06,
+      "loss": 0.7117,
+      "step": 18959
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.296523140071467e-06,
+      "loss": 0.7426,
+      "step": 18960
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2955828486564754e-06,
+      "loss": 0.7432,
+      "step": 18961
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2946426649060258e-06,
+      "loss": 0.7453,
+      "step": 18962
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.293702588835206e-06,
+      "loss": 0.8302,
+      "step": 18963
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2927626204591257e-06,
+      "loss": 0.7245,
+      "step": 18964
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2918227597928686e-06,
+      "loss": 0.766,
+      "step": 18965
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2908830068515376e-06,
+      "loss": 0.8593,
+      "step": 18966
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.289943361650211e-06,
+      "loss": 0.7937,
+      "step": 18967
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.289003824203991e-06,
+      "loss": 0.7108,
+      "step": 18968
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2880643945279587e-06,
+      "loss": 0.703,
+      "step": 18969
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2871250726372052e-06,
+      "loss": 0.6731,
+      "step": 18970
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2861858585468065e-06,
+      "loss": 0.6997,
+      "step": 18971
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.285246752271851e-06,
+      "loss": 0.7251,
+      "step": 18972
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2843077538274183e-06,
+      "loss": 0.8281,
+      "step": 18973
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.283368863228591e-06,
+      "loss": 0.7574,
+      "step": 18974
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.282430080490441e-06,
+      "loss": 0.7209,
+      "step": 18975
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2814914056280456e-06,
+      "loss": 0.8488,
+      "step": 18976
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2805528386564787e-06,
+      "loss": 0.6684,
+      "step": 18977
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2796143795908174e-06,
+      "loss": 0.6863,
+      "step": 18978
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.278676028446125e-06,
+      "loss": 0.7889,
+      "step": 18979
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2777377852374734e-06,
+      "loss": 0.6866,
+      "step": 18980
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2767996499799295e-06,
+      "loss": 0.8209,
+      "step": 18981
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.275861622688561e-06,
+      "loss": 0.9649,
+      "step": 18982
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2749237033784267e-06,
+      "loss": 0.7505,
+      "step": 18983
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.273985892064593e-06,
+      "loss": 0.7137,
+      "step": 18984
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2730481887621125e-06,
+      "loss": 0.8476,
+      "step": 18985
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2721105934860544e-06,
+      "loss": 0.7526,
+      "step": 18986
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.271173106251466e-06,
+      "loss": 0.8171,
+      "step": 18987
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.27023572707341e-06,
+      "loss": 0.7308,
+      "step": 18988
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2692984559669315e-06,
+      "loss": 0.8294,
+      "step": 18989
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2683612929470854e-06,
+      "loss": 0.717,
+      "step": 18990
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2674242380289222e-06,
+      "loss": 0.6372,
+      "step": 18991
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2664872912274924e-06,
+      "loss": 0.8057,
+      "step": 18992
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2655504525578364e-06,
+      "loss": 0.6279,
+      "step": 18993
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2646137220350016e-06,
+      "loss": 0.8906,
+      "step": 18994
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.263677099674033e-06,
+      "loss": 0.8974,
+      "step": 18995
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2627405854899665e-06,
+      "loss": 0.7208,
+      "step": 18996
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2618041794978426e-06,
+      "loss": 0.7535,
+      "step": 18997
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2608678817127014e-06,
+      "loss": 0.77,
+      "step": 18998
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2599316921495806e-06,
+      "loss": 0.7802,
+      "step": 18999
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.258995610823508e-06,
+      "loss": 0.8479,
+      "step": 19000
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.258059637749521e-06,
+      "loss": 0.822,
+      "step": 19001
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2571237729426464e-06,
+      "loss": 0.7704,
+      "step": 19002
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2561880164179138e-06,
+      "loss": 0.8109,
+      "step": 19003
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2552523681903516e-06,
+      "loss": 0.7674,
+      "step": 19004
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.254316828274987e-06,
+      "loss": 0.6173,
+      "step": 19005
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.253381396686839e-06,
+      "loss": 0.7841,
+      "step": 19006
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.252446073440931e-06,
+      "loss": 0.699,
+      "step": 19007
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.251510858552285e-06,
+      "loss": 0.8366,
+      "step": 19008
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2505757520359205e-06,
+      "loss": 0.7459,
+      "step": 19009
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2496407539068497e-06,
+      "loss": 0.8535,
+      "step": 19010
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2487058641800928e-06,
+      "loss": 0.868,
+      "step": 19011
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.247771082870652e-06,
+      "loss": 0.8342,
+      "step": 19012
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2468364099935546e-06,
+      "loss": 0.6473,
+      "step": 19013
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.245901845563798e-06,
+      "loss": 0.7125,
+      "step": 19014
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2449673895963985e-06,
+      "loss": 0.7512,
+      "step": 19015
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2440330421063513e-06,
+      "loss": 0.6537,
+      "step": 19016
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2430988031086742e-06,
+      "loss": 0.6638,
+      "step": 19017
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.242164672618361e-06,
+      "loss": 0.7884,
+      "step": 19018
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2412306506504175e-06,
+      "loss": 0.8301,
+      "step": 19019
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.240296737219837e-06,
+      "loss": 0.6227,
+      "step": 19020
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2393629323416207e-06,
+      "loss": 0.6978,
+      "step": 19021
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2384292360307646e-06,
+      "loss": 0.7384,
+      "step": 19022
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2374956483022656e-06,
+      "loss": 0.7636,
+      "step": 19023
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.236562169171109e-06,
+      "loss": 0.7166,
+      "step": 19024
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2356287986522895e-06,
+      "loss": 0.7286,
+      "step": 19025
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2346955367607944e-06,
+      "loss": 0.6611,
+      "step": 19026
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.233762383511615e-06,
+      "loss": 0.7667,
+      "step": 19027
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2328293389197297e-06,
+      "loss": 0.7556,
+      "step": 19028
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2318964030001297e-06,
+      "loss": 0.7111,
+      "step": 19029
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2309635757677847e-06,
+      "loss": 0.7585,
+      "step": 19030
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2300308572376906e-06,
+      "loss": 0.8369,
+      "step": 19031
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2290982474248135e-06,
+      "loss": 0.6575,
+      "step": 19032
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2281657463441375e-06,
+      "loss": 0.8083,
+      "step": 19033
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2272333540106305e-06,
+      "loss": 0.7421,
+      "step": 19034
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2263010704392694e-06,
+      "loss": 0.8387,
+      "step": 19035
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2253688956450258e-06,
+      "loss": 0.7797,
+      "step": 19036
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2244368296428706e-06,
+      "loss": 0.8273,
+      "step": 19037
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.223504872447768e-06,
+      "loss": 0.6406,
+      "step": 19038
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2225730240746844e-06,
+      "loss": 0.7571,
+      "step": 19039
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2216412845385893e-06,
+      "loss": 0.7721,
+      "step": 19040
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.220709653854438e-06,
+      "loss": 0.7916,
+      "step": 19041
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2197781320371944e-06,
+      "loss": 0.735,
+      "step": 19042
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.218846719101818e-06,
+      "loss": 0.7617,
+      "step": 19043
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.21791541506327e-06,
+      "loss": 0.7293,
+      "step": 19044
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2169842199364977e-06,
+      "loss": 0.8282,
+      "step": 19045
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.216053133736463e-06,
+      "loss": 0.6774,
+      "step": 19046
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2151221564781076e-06,
+      "loss": 0.6793,
+      "step": 19047
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.214191288176396e-06,
+      "loss": 0.6348,
+      "step": 19048
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.213260528846265e-06,
+      "loss": 0.537,
+      "step": 19049
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.212329878502669e-06,
+      "loss": 0.7205,
+      "step": 19050
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2113993371605457e-06,
+      "loss": 0.8228,
+      "step": 19051
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2104689048348436e-06,
+      "loss": 0.6951,
+      "step": 19052
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2095385815405023e-06,
+      "loss": 0.7622,
+      "step": 19053
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.208608367292466e-06,
+      "loss": 0.6862,
+      "step": 19054
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.207678262105667e-06,
+      "loss": 0.7944,
+      "step": 19055
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.206748265995042e-06,
+      "loss": 0.8384,
+      "step": 19056
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2058183789755294e-06,
+      "loss": 0.8614,
+      "step": 19057
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2048886010620617e-06,
+      "loss": 0.8224,
+      "step": 19058
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2039589322695664e-06,
+      "loss": 0.7796,
+      "step": 19059
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.203029372612977e-06,
+      "loss": 0.7783,
+      "step": 19060
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2020999221072125e-06,
+      "loss": 0.7345,
+      "step": 19061
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.201170580767211e-06,
+      "loss": 0.7405,
+      "step": 19062
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.200241348607889e-06,
+      "loss": 0.7514,
+      "step": 19063
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1993122256441713e-06,
+      "loss": 0.7104,
+      "step": 19064
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.198383211890973e-06,
+      "loss": 0.8993,
+      "step": 19065
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1974543073632224e-06,
+      "loss": 0.6245,
+      "step": 19066
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1965255120758285e-06,
+      "loss": 0.6487,
+      "step": 19067
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.195596826043714e-06,
+      "loss": 0.8876,
+      "step": 19068
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.194668249281785e-06,
+      "loss": 0.7522,
+      "step": 19069
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1937397818049555e-06,
+      "loss": 0.7518,
+      "step": 19070
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.192811423628136e-06,
+      "loss": 0.6253,
+      "step": 19071
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.191883174766239e-06,
+      "loss": 0.8752,
+      "step": 19072
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.190955035234163e-06,
+      "loss": 0.7852,
+      "step": 19073
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1900270050468184e-06,
+      "loss": 0.7114,
+      "step": 19074
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.189099084219106e-06,
+      "loss": 0.7317,
+      "step": 19075
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.188171272765931e-06,
+      "loss": 0.7015,
+      "step": 19076
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1872435707021865e-06,
+      "loss": 0.7437,
+      "step": 19077
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1863159780427765e-06,
+      "loss": 0.7294,
+      "step": 19078
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1853884948025904e-06,
+      "loss": 0.7135,
+      "step": 19079
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1844611209965272e-06,
+      "loss": 0.8383,
+      "step": 19080
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.183533856639477e-06,
+      "loss": 0.8306,
+      "step": 19081
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1826067017463346e-06,
+      "loss": 0.6612,
+      "step": 19082
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.181679656331983e-06,
+      "loss": 0.8627,
+      "step": 19083
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.180752720411312e-06,
+      "loss": 0.6481,
+      "step": 19084
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.179825893999211e-06,
+      "loss": 0.6339,
+      "step": 19085
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.178899177110556e-06,
+      "loss": 0.9219,
+      "step": 19086
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.177972569760234e-06,
+      "loss": 0.8795,
+      "step": 19087
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1770460719631237e-06,
+      "loss": 0.775,
+      "step": 19088
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1761196837341056e-06,
+      "loss": 0.6913,
+      "step": 19089
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1751934050880527e-06,
+      "loss": 0.6794,
+      "step": 19090
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1742672360398453e-06,
+      "loss": 0.7053,
+      "step": 19091
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1733411766043466e-06,
+      "loss": 0.7546,
+      "step": 19092
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1724152267964404e-06,
+      "loss": 0.7046,
+      "step": 19093
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.171489386630986e-06,
+      "loss": 0.754,
+      "step": 19094
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1705636561228605e-06,
+      "loss": 0.8536,
+      "step": 19095
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1696380352869173e-06,
+      "loss": 0.7253,
+      "step": 19096
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1687125241380346e-06,
+      "loss": 0.7265,
+      "step": 19097
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1677871226910663e-06,
+      "loss": 0.7617,
+      "step": 19098
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.166861830960878e-06,
+      "loss": 0.7346,
+      "step": 19099
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1659366489623235e-06,
+      "loss": 0.6634,
+      "step": 19100
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.165011576710262e-06,
+      "loss": 0.7623,
+      "step": 19101
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1640866142195504e-06,
+      "loss": 0.8153,
+      "step": 19102
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1631617615050457e-06,
+      "loss": 0.8723,
+      "step": 19103
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.162237018581592e-06,
+      "loss": 0.7128,
+      "step": 19104
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.161312385464045e-06,
+      "loss": 0.7432,
+      "step": 19105
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.16038786216725e-06,
+      "loss": 0.7849,
+      "step": 19106
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1594634487060595e-06,
+      "loss": 0.7733,
+      "step": 19107
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.158539145095312e-06,
+      "loss": 0.7319,
+      "step": 19108
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1576149513498544e-06,
+      "loss": 0.6623,
+      "step": 19109
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.156690867484521e-06,
+      "loss": 0.7069,
+      "step": 19110
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.155766893514164e-06,
+      "loss": 0.8907,
+      "step": 19111
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1548430294536115e-06,
+      "loss": 0.8715,
+      "step": 19112
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.153919275317705e-06,
+      "loss": 0.7508,
+      "step": 19113
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1529956311212693e-06,
+      "loss": 0.6822,
+      "step": 19114
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1520720968791506e-06,
+      "loss": 0.9157,
+      "step": 19115
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1511486726061712e-06,
+      "loss": 0.6796,
+      "step": 19116
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1502253583171637e-06,
+      "loss": 0.8982,
+      "step": 19117
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.149302154026952e-06,
+      "loss": 0.8229,
+      "step": 19118
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1483790597503617e-06,
+      "loss": 0.8045,
+      "step": 19119
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.147456075502219e-06,
+      "loss": 0.8138,
+      "step": 19120
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1465332012973483e-06,
+      "loss": 0.7034,
+      "step": 19121
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1456104371505636e-06,
+      "loss": 0.7531,
+      "step": 19122
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1446877830766853e-06,
+      "loss": 0.6907,
+      "step": 19123
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1437652390905348e-06,
+      "loss": 0.7786,
+      "step": 19124
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1428428052069195e-06,
+      "loss": 0.8901,
+      "step": 19125
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1419204814406566e-06,
+      "loss": 0.7161,
+      "step": 19126
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.140998267806561e-06,
+      "loss": 0.8332,
+      "step": 19127
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1400761643194345e-06,
+      "loss": 0.6653,
+      "step": 19128
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.139154170994089e-06,
+      "loss": 0.712,
+      "step": 19129
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1382322878453298e-06,
+      "loss": 0.7529,
+      "step": 19130
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1373105148879656e-06,
+      "loss": 0.7583,
+      "step": 19131
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1363888521367924e-06,
+      "loss": 0.805,
+      "step": 19132
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1354672996066128e-06,
+      "loss": 0.7515,
+      "step": 19133
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.13454585731223e-06,
+      "loss": 0.6322,
+      "step": 19134
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1336245252684348e-06,
+      "loss": 0.7562,
+      "step": 19135
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1327033034900254e-06,
+      "loss": 0.7088,
+      "step": 19136
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1317821919917957e-06,
+      "loss": 0.8683,
+      "step": 19137
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.130861190788541e-06,
+      "loss": 0.7245,
+      "step": 19138
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.129940299895046e-06,
+      "loss": 0.7358,
+      "step": 19139
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.129019519326102e-06,
+      "loss": 0.828,
+      "step": 19140
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1280988490964903e-06,
+      "loss": 0.8102,
+      "step": 19141
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1271782892210055e-06,
+      "loss": 0.733,
+      "step": 19142
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1262578397144216e-06,
+      "loss": 0.7527,
+      "step": 19143
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1253375005915276e-06,
+      "loss": 0.7425,
+      "step": 19144
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.124417271867093e-06,
+      "loss": 0.8198,
+      "step": 19145
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.123497153555907e-06,
+      "loss": 0.7901,
+      "step": 19146
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1225771456727373e-06,
+      "loss": 0.6907,
+      "step": 19147
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1216572482323628e-06,
+      "loss": 0.6967,
+      "step": 19148
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.120737461249551e-06,
+      "loss": 0.7456,
+      "step": 19149
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1198177847390764e-06,
+      "loss": 0.8004,
+      "step": 19150
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1188982187157056e-06,
+      "loss": 0.7447,
+      "step": 19151
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1179787631942117e-06,
+      "loss": 0.9172,
+      "step": 19152
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.117059418189351e-06,
+      "loss": 0.7433,
+      "step": 19153
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.116140183715891e-06,
+      "loss": 0.7696,
+      "step": 19154
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1152210597885933e-06,
+      "loss": 0.7505,
+      "step": 19155
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.114302046422223e-06,
+      "loss": 0.7191,
+      "step": 19156
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1133831436315288e-06,
+      "loss": 0.7,
+      "step": 19157
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.112464351431276e-06,
+      "loss": 0.6927,
+      "step": 19158
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.111545669836209e-06,
+      "loss": 0.7439,
+      "step": 19159
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.110627098861092e-06,
+      "loss": 0.7737,
+      "step": 19160
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.109708638520669e-06,
+      "loss": 0.73,
+      "step": 19161
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.108790288829694e-06,
+      "loss": 0.7532,
+      "step": 19162
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.107872049802908e-06,
+      "loss": 0.7257,
+      "step": 19163
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1069539214550614e-06,
+      "loss": 0.64,
+      "step": 19164
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.106035903800897e-06,
+      "loss": 0.8573,
+      "step": 19165
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1051179968551604e-06,
+      "loss": 0.7029,
+      "step": 19166
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.104200200632587e-06,
+      "loss": 0.6455,
+      "step": 19167
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1032825151479163e-06,
+      "loss": 0.6949,
+      "step": 19168
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.102364940415886e-06,
+      "loss": 0.834,
+      "step": 19169
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1014474764512347e-06,
+      "loss": 0.7779,
+      "step": 19170
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.10053012326869e-06,
+      "loss": 0.7354,
+      "step": 19171
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.099612880882986e-06,
+      "loss": 0.7483,
+      "step": 19172
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0986957493088555e-06,
+      "loss": 0.789,
+      "step": 19173
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0977787285610206e-06,
+      "loss": 0.7572,
+      "step": 19174
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.09686181865421e-06,
+      "loss": 0.7524,
+      "step": 19175
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0959450196031516e-06,
+      "loss": 0.6834,
+      "step": 19176
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0950283314225627e-06,
+      "loss": 0.8316,
+      "step": 19177
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.094111754127165e-06,
+      "loss": 0.8661,
+      "step": 19178
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.093195287731683e-06,
+      "loss": 0.6599,
+      "step": 19179
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.092278932250826e-06,
+      "loss": 0.7309,
+      "step": 19180
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0913626876993142e-06,
+      "loss": 0.7567,
+      "step": 19181
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0904465540918605e-06,
+      "loss": 0.7085,
+      "step": 19182
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.08953053144318e-06,
+      "loss": 0.7828,
+      "step": 19183
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0886146197679766e-06,
+      "loss": 0.6999,
+      "step": 19184
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0876988190809655e-06,
+      "loss": 0.7021,
+      "step": 19185
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.086783129396843e-06,
+      "loss": 0.6881,
+      "step": 19186
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0858675507303273e-06,
+      "loss": 0.819,
+      "step": 19187
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.084952083096111e-06,
+      "loss": 0.6898,
+      "step": 19188
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0840367265089034e-06,
+      "loss": 0.8026,
+      "step": 19189
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.083121480983393e-06,
+      "loss": 0.6869,
+      "step": 19190
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0822063465342913e-06,
+      "loss": 0.7012,
+      "step": 19191
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0812913231762832e-06,
+      "loss": 0.6424,
+      "step": 19192
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0803764109240697e-06,
+      "loss": 0.7646,
+      "step": 19193
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0794616097923378e-06,
+      "loss": 0.8818,
+      "step": 19194
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0785469197957806e-06,
+      "loss": 0.6723,
+      "step": 19195
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.077632340949086e-06,
+      "loss": 0.7633,
+      "step": 19196
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0767178732669454e-06,
+      "loss": 0.7472,
+      "step": 19197
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0758035167640376e-06,
+      "loss": 0.7857,
+      "step": 19198
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0748892714550483e-06,
+      "loss": 0.6665,
+      "step": 19199
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.07397513735466e-06,
+      "loss": 0.7056,
+      "step": 19200
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0730611144775547e-06,
+      "loss": 0.726,
+      "step": 19201
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.072147202838406e-06,
+      "loss": 0.7337,
+      "step": 19202
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.071233402451891e-06,
+      "loss": 0.7074,
+      "step": 19203
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0703197133326856e-06,
+      "loss": 0.744,
+      "step": 19204
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.069406135495466e-06,
+      "loss": 0.8545,
+      "step": 19205
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0684926689548954e-06,
+      "loss": 0.6761,
+      "step": 19206
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0675793137256505e-06,
+      "loss": 0.6702,
+      "step": 19207
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0666660698223884e-06,
+      "loss": 0.9015,
+      "step": 19208
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.065752937259788e-06,
+      "loss": 0.67,
+      "step": 19209
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.064839916052503e-06,
+      "loss": 0.7083,
+      "step": 19210
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0639270062152014e-06,
+      "loss": 0.8253,
+      "step": 19211
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.063014207762538e-06,
+      "loss": 0.718,
+      "step": 19212
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0621015207091744e-06,
+      "loss": 0.7932,
+      "step": 19213
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0611889450697663e-06,
+      "loss": 0.7949,
+      "step": 19214
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0602764808589714e-06,
+      "loss": 0.7382,
+      "step": 19215
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.059364128091438e-06,
+      "loss": 0.718,
+      "step": 19216
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0584518867818192e-06,
+      "loss": 0.7482,
+      "step": 19217
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.057539756944767e-06,
+      "loss": 0.7531,
+      "step": 19218
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.056627738594926e-06,
+      "loss": 0.7963,
+      "step": 19219
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0557158317469414e-06,
+      "loss": 0.793,
+      "step": 19220
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0548040364154597e-06,
+      "loss": 0.8609,
+      "step": 19221
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.053892352615124e-06,
+      "loss": 0.8498,
+      "step": 19222
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0529807803605717e-06,
+      "loss": 0.831,
+      "step": 19223
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0520693196664453e-06,
+      "loss": 0.8439,
+      "step": 19224
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.051157970547376e-06,
+      "loss": 0.681,
+      "step": 19225
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.050246733018003e-06,
+      "loss": 0.6393,
+      "step": 19226
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.049335607092959e-06,
+      "loss": 0.7651,
+      "step": 19227
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.048424592786878e-06,
+      "loss": 0.7526,
+      "step": 19228
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.047513690114384e-06,
+      "loss": 0.7284,
+      "step": 19229
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0466028990901084e-06,
+      "loss": 0.7015,
+      "step": 19230
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0456922197286776e-06,
+      "loss": 0.5177,
+      "step": 19231
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0447816520447182e-06,
+      "loss": 0.8196,
+      "step": 19232
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0438711960528476e-06,
+      "loss": 0.7799,
+      "step": 19233
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0429608517676913e-06,
+      "loss": 0.7463,
+      "step": 19234
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0420506192038603e-06,
+      "loss": 0.7616,
+      "step": 19235
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.041140498375984e-06,
+      "loss": 0.8903,
+      "step": 19236
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0402304892986677e-06,
+      "loss": 0.7103,
+      "step": 19237
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.039320591986532e-06,
+      "loss": 0.7809,
+      "step": 19238
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0384108064541795e-06,
+      "loss": 0.7018,
+      "step": 19239
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.037501132716232e-06,
+      "loss": 0.6418,
+      "step": 19240
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0365915707872883e-06,
+      "loss": 0.624,
+      "step": 19241
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.035682120681962e-06,
+      "loss": 0.9014,
+      "step": 19242
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0347727824148508e-06,
+      "loss": 0.8246,
+      "step": 19243
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0338635560005614e-06,
+      "loss": 0.6637,
+      "step": 19244
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0329544414536927e-06,
+      "loss": 0.6165,
+      "step": 19245
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0320454387888496e-06,
+      "loss": 0.7688,
+      "step": 19246
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0311365480206224e-06,
+      "loss": 0.773,
+      "step": 19247
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0302277691636096e-06,
+      "loss": 0.7654,
+      "step": 19248
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0293191022324055e-06,
+      "loss": 0.8199,
+      "step": 19249
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0284105472416046e-06,
+      "loss": 0.7154,
+      "step": 19250
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0275021042057907e-06,
+      "loss": 0.7042,
+      "step": 19251
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0265937731395602e-06,
+      "loss": 0.7526,
+      "step": 19252
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0256855540574894e-06,
+      "loss": 0.7493,
+      "step": 19253
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0247774469741742e-06,
+      "loss": 0.7344,
+      "step": 19254
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.023869451904191e-06,
+      "loss": 0.8243,
+      "step": 19255
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.022961568862125e-06,
+      "loss": 0.9023,
+      "step": 19256
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.022053797862551e-06,
+      "loss": 0.8326,
+      "step": 19257
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0211461389200493e-06,
+      "loss": 0.6967,
+      "step": 19258
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.020238592049195e-06,
+      "loss": 0.8517,
+      "step": 19259
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0193311572645655e-06,
+      "loss": 0.7892,
+      "step": 19260
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0184238345807284e-06,
+      "loss": 0.7708,
+      "step": 19261
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0175166240122554e-06,
+      "loss": 0.8896,
+      "step": 19262
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0166095255737193e-06,
+      "loss": 0.8223,
+      "step": 19263
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0157025392796803e-06,
+      "loss": 0.6741,
+      "step": 19264
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0147956651447064e-06,
+      "loss": 0.7556,
+      "step": 19265
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0138889031833616e-06,
+      "loss": 0.6786,
+      "step": 19266
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0129822534102093e-06,
+      "loss": 0.7355,
+      "step": 19267
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0120757158398052e-06,
+      "loss": 0.7839,
+      "step": 19268
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.011169290486711e-06,
+      "loss": 0.83,
+      "step": 19269
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0102629773654736e-06,
+      "loss": 0.7902,
+      "step": 19270
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0093567764906606e-06,
+      "loss": 0.671,
+      "step": 19271
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.008450687876815e-06,
+      "loss": 0.8263,
+      "step": 19272
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.007544711538495e-06,
+      "loss": 0.8321,
+      "step": 19273
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0066388474902395e-06,
+      "loss": 0.6931,
+      "step": 19274
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0057330957466025e-06,
+      "loss": 0.7476,
+      "step": 19275
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0048274563221267e-06,
+      "loss": 0.5977,
+      "step": 19276
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0039219292313603e-06,
+      "loss": 0.8169,
+      "step": 19277
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.003016514488838e-06,
+      "loss": 0.6911,
+      "step": 19278
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.002111212109102e-06,
+      "loss": 0.8248,
+      "step": 19279
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.001206022106693e-06,
+      "loss": 0.6728,
+      "step": 19280
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.000300944496146e-06,
+      "loss": 0.8874,
+      "step": 19281
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9993959792919934e-06,
+      "loss": 0.7819,
+      "step": 19282
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.998491126508771e-06,
+      "loss": 0.8235,
+      "step": 19283
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.997586386161002e-06,
+      "loss": 0.884,
+      "step": 19284
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.996681758263228e-06,
+      "loss": 0.6857,
+      "step": 19285
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9957772428299657e-06,
+      "loss": 0.787,
+      "step": 19286
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9948728398757475e-06,
+      "loss": 0.7602,
+      "step": 19287
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.993968549415087e-06,
+      "loss": 0.8179,
+      "step": 19288
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9930643714625183e-06,
+      "loss": 0.8252,
+      "step": 19289
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9921603060325533e-06,
+      "loss": 0.8512,
+      "step": 19290
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9912563531397156e-06,
+      "loss": 0.6623,
+      "step": 19291
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9903525127985144e-06,
+      "loss": 0.7141,
+      "step": 19292
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9894487850234687e-06,
+      "loss": 0.7961,
+      "step": 19293
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.988545169829091e-06,
+      "loss": 0.7515,
+      "step": 19294
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9876416672298945e-06,
+      "loss": 0.7785,
+      "step": 19295
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.986738277240384e-06,
+      "loss": 0.7238,
+      "step": 19296
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.985834999875068e-06,
+      "loss": 0.8411,
+      "step": 19297
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9849318351484522e-06,
+      "loss": 0.7424,
+      "step": 19298
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9840287830750446e-06,
+      "loss": 0.825,
+      "step": 19299
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.98312584366934e-06,
+      "loss": 0.729,
+      "step": 19300
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9822230169458445e-06,
+      "loss": 0.8699,
+      "step": 19301
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9813203029190505e-06,
+      "loss": 0.8758,
+      "step": 19302
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9804177016034576e-06,
+      "loss": 0.8129,
+      "step": 19303
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9795152130135606e-06,
+      "loss": 0.6772,
+      "step": 19304
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9786128371638543e-06,
+      "loss": 0.9031,
+      "step": 19305
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.977710574068826e-06,
+      "loss": 0.7829,
+      "step": 19306
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.976808423742965e-06,
+      "loss": 0.8144,
+      "step": 19307
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9759063862007644e-06,
+      "loss": 0.7026,
+      "step": 19308
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.975004461456702e-06,
+      "loss": 0.7995,
+      "step": 19309
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9741026495252657e-06,
+      "loss": 0.7803,
+      "step": 19310
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.973200950420936e-06,
+      "loss": 0.7354,
+      "step": 19311
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9722993641581975e-06,
+      "loss": 0.7101,
+      "step": 19312
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9713978907515217e-06,
+      "loss": 0.7191,
+      "step": 19313
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.970496530215391e-06,
+      "loss": 0.6895,
+      "step": 19314
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9695952825642725e-06,
+      "loss": 0.8582,
+      "step": 19315
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9686941478126494e-06,
+      "loss": 0.7311,
+      "step": 19316
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9677931259749846e-06,
+      "loss": 0.8041,
+      "step": 19317
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9668922170657543e-06,
+      "loss": 0.8089,
+      "step": 19318
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9659914210994156e-06,
+      "loss": 0.5793,
+      "step": 19319
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.965090738090446e-06,
+      "loss": 0.6914,
+      "step": 19320
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9641901680533015e-06,
+      "loss": 0.6743,
+      "step": 19321
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9632897110024493e-06,
+      "loss": 0.7859,
+      "step": 19322
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.962389366952344e-06,
+      "loss": 0.8051,
+      "step": 19323
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.961489135917447e-06,
+      "loss": 0.7673,
+      "step": 19324
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.960589017912214e-06,
+      "loss": 0.7092,
+      "step": 19325
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9596890129511047e-06,
+      "loss": 0.6915,
+      "step": 19326
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9587891210485644e-06,
+      "loss": 0.7344,
+      "step": 19327
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9578893422190467e-06,
+      "loss": 0.7937,
+      "step": 19328
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9569896764770024e-06,
+      "loss": 0.7781,
+      "step": 19329
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9560901238368823e-06,
+      "loss": 0.6055,
+      "step": 19330
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.955190684313124e-06,
+      "loss": 0.7696,
+      "step": 19331
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9542913579201803e-06,
+      "loss": 0.7918,
+      "step": 19332
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9533921446724813e-06,
+      "loss": 0.8573,
+      "step": 19333
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9524930445844814e-06,
+      "loss": 0.6732,
+      "step": 19334
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.951594057670608e-06,
+      "loss": 0.8374,
+      "step": 19335
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9506951839453057e-06,
+      "loss": 0.7979,
+      "step": 19336
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9497964234229993e-06,
+      "loss": 0.6638,
+      "step": 19337
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9488977761181347e-06,
+      "loss": 0.7215,
+      "step": 19338
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.947999242045132e-06,
+      "loss": 0.8849,
+      "step": 19339
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9471008212184295e-06,
+      "loss": 0.7808,
+      "step": 19340
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9462025136524453e-06,
+      "loss": 0.7711,
+      "step": 19341
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9453043193616103e-06,
+      "loss": 0.6927,
+      "step": 19342
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.944406238360349e-06,
+      "loss": 0.5885,
+      "step": 19343
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9435082706630836e-06,
+      "loss": 0.6588,
+      "step": 19344
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9426104162842317e-06,
+      "loss": 0.6835,
+      "step": 19345
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.941712675238212e-06,
+      "loss": 0.7059,
+      "step": 19346
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.940815047539446e-06,
+      "loss": 0.653,
+      "step": 19347
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.939917533202341e-06,
+      "loss": 0.8531,
+      "step": 19348
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9390201322413137e-06,
+      "loss": 0.698,
+      "step": 19349
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9381228446707787e-06,
+      "loss": 0.7317,
+      "step": 19350
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9372256705051384e-06,
+      "loss": 0.6532,
+      "step": 19351
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.936328609758804e-06,
+      "loss": 0.7269,
+      "step": 19352
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9354316624461832e-06,
+      "loss": 0.7491,
+      "step": 19353
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9345348285816755e-06,
+      "loss": 0.7432,
+      "step": 19354
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.933638108179684e-06,
+      "loss": 0.7648,
+      "step": 19355
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.93274150125461e-06,
+      "loss": 0.7421,
+      "step": 19356
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.931845007820855e-06,
+      "loss": 0.7259,
+      "step": 19357
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.930948627892809e-06,
+      "loss": 0.7686,
+      "step": 19358
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9300523614848743e-06,
+      "loss": 0.6895,
+      "step": 19359
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9291562086114322e-06,
+      "loss": 0.8413,
+      "step": 19360
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9282601692868873e-06,
+      "loss": 0.7838,
+      "step": 19361
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.927364243525619e-06,
+      "loss": 0.8056,
+      "step": 19362
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9264684313420224e-06,
+      "loss": 0.8243,
+      "step": 19363
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9255727327504735e-06,
+      "loss": 0.7003,
+      "step": 19364
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9246771477653666e-06,
+      "loss": 0.6863,
+      "step": 19365
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9237816764010763e-06,
+      "loss": 0.9775,
+      "step": 19366
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.922886318671989e-06,
+      "loss": 0.8308,
+      "step": 19367
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9219910745924764e-06,
+      "loss": 0.8182,
+      "step": 19368
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.921095944176916e-06,
+      "loss": 0.668,
+      "step": 19369
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.920200927439686e-06,
+      "loss": 0.8003,
+      "step": 19370
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.91930602439516e-06,
+      "loss": 0.9593,
+      "step": 19371
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.918411235057704e-06,
+      "loss": 0.6899,
+      "step": 19372
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.91751655944169e-06,
+      "loss": 0.7435,
+      "step": 19373
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9166219975614852e-06,
+      "loss": 0.8185,
+      "step": 19374
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9157275494314576e-06,
+      "loss": 0.7495,
+      "step": 19375
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.914833215065965e-06,
+      "loss": 0.7411,
+      "step": 19376
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.913938994479374e-06,
+      "loss": 0.7926,
+      "step": 19377
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9130448876860427e-06,
+      "loss": 0.8689,
+      "step": 19378
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9121508947003343e-06,
+      "loss": 0.804,
+      "step": 19379
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.911257015536596e-06,
+      "loss": 0.7391,
+      "step": 19380
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9103632502091917e-06,
+      "loss": 0.8215,
+      "step": 19381
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9094695987324627e-06,
+      "loss": 0.7403,
+      "step": 19382
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9085760611207736e-06,
+      "loss": 0.8457,
+      "step": 19383
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9076826373884647e-06,
+      "loss": 0.8061,
+      "step": 19384
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9067893275498872e-06,
+      "loss": 0.7662,
+      "step": 19385
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9058961316193823e-06,
+      "loss": 0.7054,
+      "step": 19386
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.905003049611297e-06,
+      "loss": 0.7491,
+      "step": 19387
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9041100815399715e-06,
+      "loss": 0.6032,
+      "step": 19388
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.903217227419749e-06,
+      "loss": 0.8194,
+      "step": 19389
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9023244872649626e-06,
+      "loss": 0.6702,
+      "step": 19390
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9014318610899504e-06,
+      "loss": 0.7998,
+      "step": 19391
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9005393489090506e-06,
+      "loss": 0.7669,
+      "step": 19392
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.89964695073659e-06,
+      "loss": 0.708,
+      "step": 19393
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8987546665869025e-06,
+      "loss": 0.8031,
+      "step": 19394
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.897862496474316e-06,
+      "loss": 0.6082,
+      "step": 19395
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8969704404131626e-06,
+      "loss": 0.9144,
+      "step": 19396
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8960784984177594e-06,
+      "loss": 0.7096,
+      "step": 19397
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8951866705024366e-06,
+      "loss": 0.6723,
+      "step": 19398
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8942949566815103e-06,
+      "loss": 0.7879,
+      "step": 19399
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.893403356969303e-06,
+      "loss": 0.7989,
+      "step": 19400
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8925118713801325e-06,
+      "loss": 0.7518,
+      "step": 19401
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8916204999283184e-06,
+      "loss": 0.8972,
+      "step": 19402
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8907292426281686e-06,
+      "loss": 0.8426,
+      "step": 19403
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.889838099493999e-06,
+      "loss": 0.7824,
+      "step": 19404
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.88894707054012e-06,
+      "loss": 0.7779,
+      "step": 19405
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.888056155780844e-06,
+      "loss": 0.7672,
+      "step": 19406
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8871653552304703e-06,
+      "loss": 0.7819,
+      "step": 19407
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8862746689033117e-06,
+      "loss": 0.8424,
+      "step": 19408
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8853840968136614e-06,
+      "loss": 0.7417,
+      "step": 19409
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8844936389758337e-06,
+      "loss": 0.7227,
+      "step": 19410
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8836032954041194e-06,
+      "loss": 0.7503,
+      "step": 19411
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.882713066112821e-06,
+      "loss": 0.7629,
+      "step": 19412
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8818229511162265e-06,
+      "loss": 0.7572,
+      "step": 19413
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.880932950428642e-06,
+      "loss": 0.7644,
+      "step": 19414
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8800430640643507e-06,
+      "loss": 0.6841,
+      "step": 19415
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8791532920376496e-06,
+      "loss": 0.7516,
+      "step": 19416
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8782636343628203e-06,
+      "loss": 0.6988,
+      "step": 19417
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8773740910541524e-06,
+      "loss": 0.8381,
+      "step": 19418
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8764846621259313e-06,
+      "loss": 0.793,
+      "step": 19419
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8755953475924447e-06,
+      "loss": 0.7336,
+      "step": 19420
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.874706147467965e-06,
+      "loss": 0.7272,
+      "step": 19421
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.873817061766776e-06,
+      "loss": 0.8374,
+      "step": 19422
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8729280905031563e-06,
+      "loss": 0.8279,
+      "step": 19423
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.872039233691384e-06,
+      "loss": 0.641,
+      "step": 19424
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8711504913457256e-06,
+      "loss": 0.6209,
+      "step": 19425
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8702618634804613e-06,
+      "loss": 0.7138,
+      "step": 19426
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.869373350109851e-06,
+      "loss": 0.7528,
+      "step": 19427
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.868484951248175e-06,
+      "loss": 0.727,
+      "step": 19428
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.867596666909692e-06,
+      "loss": 0.796,
+      "step": 19429
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8667084971086724e-06,
+      "loss": 0.7475,
+      "step": 19430
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8658204418593726e-06,
+      "loss": 0.6931,
+      "step": 19431
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8649325011760566e-06,
+      "loss": 0.6287,
+      "step": 19432
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8640446750729846e-06,
+      "loss": 0.7832,
+      "step": 19433
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.863156963564415e-06,
+      "loss": 0.9073,
+      "step": 19434
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8622693666645996e-06,
+      "loss": 0.7189,
+      "step": 19435
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.861381884387794e-06,
+      "loss": 0.635,
+      "step": 19436
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8604945167482532e-06,
+      "loss": 0.845,
+      "step": 19437
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8596072637602213e-06,
+      "loss": 0.7277,
+      "step": 19438
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.858720125437948e-06,
+      "loss": 0.9162,
+      "step": 19439
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.857833101795683e-06,
+      "loss": 0.734,
+      "step": 19440
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8569461928476703e-06,
+      "loss": 0.8282,
+      "step": 19441
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8560593986081484e-06,
+      "loss": 0.616,
+      "step": 19442
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.85517271909136e-06,
+      "loss": 0.7519,
+      "step": 19443
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8542861543115462e-06,
+      "loss": 0.8199,
+      "step": 19444
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8533997042829444e-06,
+      "loss": 0.7483,
+      "step": 19445
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8525133690197857e-06,
+      "loss": 0.7268,
+      "step": 19446
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.851627148536309e-06,
+      "loss": 0.7754,
+      "step": 19447
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8507410428467395e-06,
+      "loss": 0.6974,
+      "step": 19448
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.849855051965311e-06,
+      "loss": 0.7476,
+      "step": 19449
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.848969175906251e-06,
+      "loss": 0.6659,
+      "step": 19450
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8480834146837877e-06,
+      "loss": 0.7794,
+      "step": 19451
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.84719776831214e-06,
+      "loss": 0.7924,
+      "step": 19452
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.846312236805533e-06,
+      "loss": 0.697,
+      "step": 19453
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8454268201781876e-06,
+      "loss": 0.5867,
+      "step": 19454
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8445415184443248e-06,
+      "loss": 0.8045,
+      "step": 19455
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8436563316181567e-06,
+      "loss": 0.8682,
+      "step": 19456
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8427712597139032e-06,
+      "loss": 0.6724,
+      "step": 19457
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.841886302745769e-06,
+      "loss": 0.7046,
+      "step": 19458
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8410014607279767e-06,
+      "loss": 0.6723,
+      "step": 19459
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.840116733674727e-06,
+      "loss": 0.7256,
+      "step": 19460
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.839232121600234e-06,
+      "loss": 0.6816,
+      "step": 19461
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8383476245186946e-06,
+      "loss": 0.685,
+      "step": 19462
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8374632424443236e-06,
+      "loss": 0.7972,
+      "step": 19463
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8365789753913154e-06,
+      "loss": 0.8355,
+      "step": 19464
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8356948233738746e-06,
+      "loss": 0.8938,
+      "step": 19465
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.834810786406196e-06,
+      "loss": 0.7608,
+      "step": 19466
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8339268645024766e-06,
+      "loss": 0.8198,
+      "step": 19467
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.833043057676913e-06,
+      "loss": 0.6189,
+      "step": 19468
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8321593659436998e-06,
+      "loss": 0.7734,
+      "step": 19469
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8312757893170216e-06,
+      "loss": 0.7108,
+      "step": 19470
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8303923278110724e-06,
+      "loss": 0.6706,
+      "step": 19471
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.829508981440038e-06,
+      "loss": 0.8128,
+      "step": 19472
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.828625750218107e-06,
+      "loss": 0.8937,
+      "step": 19473
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8277426341594572e-06,
+      "loss": 0.6611,
+      "step": 19474
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.826859633278277e-06,
+      "loss": 0.7203,
+      "step": 19475
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8259767475887355e-06,
+      "loss": 0.6322,
+      "step": 19476
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8250939771050257e-06,
+      "loss": 0.7245,
+      "step": 19477
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8242113218413115e-06,
+      "loss": 0.817,
+      "step": 19478
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.823328781811775e-06,
+      "loss": 0.8501,
+      "step": 19479
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8224463570305828e-06,
+      "loss": 0.88,
+      "step": 19480
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8215640475119077e-06,
+      "loss": 0.8223,
+      "step": 19481
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8206818532699186e-06,
+      "loss": 0.828,
+      "step": 19482
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8197997743187867e-06,
+      "loss": 0.6796,
+      "step": 19483
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.818917810672669e-06,
+      "loss": 0.7244,
+      "step": 19484
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8180359623457345e-06,
+      "loss": 0.7982,
+      "step": 19485
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.817154229352145e-06,
+      "loss": 0.7218,
+      "step": 19486
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.816272611706055e-06,
+      "loss": 0.7568,
+      "step": 19487
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8153911094216246e-06,
+      "loss": 0.675,
+      "step": 19488
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8145097225130104e-06,
+      "loss": 0.7275,
+      "step": 19489
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.813628450994369e-06,
+      "loss": 0.8954,
+      "step": 19490
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8127472948798474e-06,
+      "loss": 0.7339,
+      "step": 19491
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8118662541836006e-06,
+      "loss": 0.909,
+      "step": 19492
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8109853289197685e-06,
+      "loss": 0.7949,
+      "step": 19493
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.81010451910251e-06,
+      "loss": 0.7658,
+      "step": 19494
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.80922382474596e-06,
+      "loss": 0.8431,
+      "step": 19495
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.808343245864268e-06,
+      "loss": 0.7705,
+      "step": 19496
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8074627824715683e-06,
+      "loss": 0.7009,
+      "step": 19497
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8065824345820048e-06,
+      "loss": 0.6438,
+      "step": 19498
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8057022022097125e-06,
+      "loss": 0.7781,
+      "step": 19499
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8048220853688314e-06,
+      "loss": 0.8908,
+      "step": 19500
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8039420840734887e-06,
+      "loss": 0.9407,
+      "step": 19501
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.803062198337818e-06,
+      "loss": 0.7598,
+      "step": 19502
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8021824281759514e-06,
+      "loss": 0.9289,
+      "step": 19503
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.801302773602018e-06,
+      "loss": 0.8441,
+      "step": 19504
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8004232346301384e-06,
+      "loss": 0.748,
+      "step": 19505
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.799543811274443e-06,
+      "loss": 0.6459,
+      "step": 19506
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.798664503549047e-06,
+      "loss": 0.804,
+      "step": 19507
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7977853114680796e-06,
+      "loss": 0.7402,
+      "step": 19508
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7969062350456522e-06,
+      "loss": 0.8251,
+      "step": 19509
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.796027274295888e-06,
+      "loss": 0.7662,
+      "step": 19510
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7951484292328925e-06,
+      "loss": 0.74,
+      "step": 19511
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7942696998707918e-06,
+      "loss": 0.7609,
+      "step": 19512
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.793391086223687e-06,
+      "loss": 0.6825,
+      "step": 19513
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7925125883056936e-06,
+      "loss": 0.7407,
+      "step": 19514
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.791634206130913e-06,
+      "loss": 0.8689,
+      "step": 19515
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7907559397134554e-06,
+      "loss": 0.6914,
+      "step": 19516
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7898777890674246e-06,
+      "loss": 0.7143,
+      "step": 19517
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7889997542069234e-06,
+      "loss": 0.6751,
+      "step": 19518
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7881218351460473e-06,
+      "loss": 0.6055,
+      "step": 19519
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.787244031898898e-06,
+      "loss": 0.642,
+      "step": 19520
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7863663444795706e-06,
+      "loss": 0.7939,
+      "step": 19521
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7854887729021652e-06,
+      "loss": 0.8171,
+      "step": 19522
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7846113171807656e-06,
+      "loss": 0.751,
+      "step": 19523
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7837339773294704e-06,
+      "loss": 0.8379,
+      "step": 19524
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.782856753362361e-06,
+      "loss": 0.765,
+      "step": 19525
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7819796452935286e-06,
+      "loss": 0.6654,
+      "step": 19526
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.78110265313706e-06,
+      "loss": 0.9163,
+      "step": 19527
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7802257769070384e-06,
+      "loss": 0.826,
+      "step": 19528
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.779349016617542e-06,
+      "loss": 0.8025,
+      "step": 19529
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7784723722826522e-06,
+      "loss": 0.7044,
+      "step": 19530
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7775958439164496e-06,
+      "loss": 0.8118,
+      "step": 19531
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7767194315330047e-06,
+      "loss": 0.9124,
+      "step": 19532
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7758431351463944e-06,
+      "loss": 0.8765,
+      "step": 19533
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7749669547706914e-06,
+      "loss": 0.8418,
+      "step": 19534
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7740908904199683e-06,
+      "loss": 0.7068,
+      "step": 19535
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.773214942108288e-06,
+      "loss": 0.8443,
+      "step": 19536
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.772339109849723e-06,
+      "loss": 0.7822,
+      "step": 19537
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.771463393658329e-06,
+      "loss": 0.7471,
+      "step": 19538
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.770587793548182e-06,
+      "loss": 0.8675,
+      "step": 19539
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.769712309533332e-06,
+      "loss": 0.7793,
+      "step": 19540
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.768836941627846e-06,
+      "loss": 0.7883,
+      "step": 19541
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.767961689845774e-06,
+      "loss": 0.9595,
+      "step": 19542
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.767086554201175e-06,
+      "loss": 0.7055,
+      "step": 19543
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.766211534708102e-06,
+      "loss": 0.7925,
+      "step": 19544
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7653366313806117e-06,
+      "loss": 0.7109,
+      "step": 19545
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.764461844232745e-06,
+      "loss": 0.8547,
+      "step": 19546
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7635871732785557e-06,
+      "loss": 0.7537,
+      "step": 19547
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7627126185320884e-06,
+      "loss": 0.7744,
+      "step": 19548
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.76183818000739e-06,
+      "loss": 0.8039,
+      "step": 19549
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7609638577184982e-06,
+      "loss": 0.8264,
+      "step": 19550
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7600896516794563e-06,
+      "loss": 0.7305,
+      "step": 19551
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7592155619043015e-06,
+      "loss": 0.7371,
+      "step": 19552
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.758341588407075e-06,
+      "loss": 0.7087,
+      "step": 19553
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.757467731201805e-06,
+      "loss": 0.7297,
+      "step": 19554
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7565939903025305e-06,
+      "loss": 0.6102,
+      "step": 19555
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7557203657232757e-06,
+      "loss": 0.5791,
+      "step": 19556
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7548468574780784e-06,
+      "loss": 0.7813,
+      "step": 19557
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7539734655809604e-06,
+      "loss": 0.7763,
+      "step": 19558
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.75310019004595e-06,
+      "loss": 0.7907,
+      "step": 19559
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7522270308870647e-06,
+      "loss": 0.6804,
+      "step": 19560
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7513539881183373e-06,
+      "loss": 0.9194,
+      "step": 19561
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7504810617537793e-06,
+      "loss": 0.8139,
+      "step": 19562
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.749608251807413e-06,
+      "loss": 0.8636,
+      "step": 19563
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7487355582932505e-06,
+      "loss": 0.6543,
+      "step": 19564
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.747862981225309e-06,
+      "loss": 0.72,
+      "step": 19565
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7469905206176006e-06,
+      "loss": 0.7364,
+      "step": 19566
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7461181764841383e-06,
+      "loss": 0.829,
+      "step": 19567
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7452459488389262e-06,
+      "loss": 0.6304,
+      "step": 19568
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.744373837695973e-06,
+      "loss": 0.8191,
+      "step": 19569
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.743501843069286e-06,
+      "loss": 0.6935,
+      "step": 19570
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.742629964972865e-06,
+      "loss": 0.684,
+      "step": 19571
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7417582034207122e-06,
+      "loss": 0.8625,
+      "step": 19572
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7408865584268305e-06,
+      "loss": 0.7394,
+      "step": 19573
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.740015030005212e-06,
+      "loss": 0.6704,
+      "step": 19574
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.739143618169855e-06,
+      "loss": 0.6977,
+      "step": 19575
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.738272322934756e-06,
+      "loss": 0.7708,
+      "step": 19576
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7374011443139004e-06,
+      "loss": 0.8554,
+      "step": 19577
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7365300823212826e-06,
+      "loss": 0.7032,
+      "step": 19578
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7356591369708894e-06,
+      "loss": 0.6559,
+      "step": 19579
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7347883082767113e-06,
+      "loss": 0.8968,
+      "step": 19580
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7339175962527263e-06,
+      "loss": 0.7288,
+      "step": 19581
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7330470009129217e-06,
+      "loss": 0.6717,
+      "step": 19582
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7321765222712717e-06,
+      "loss": 0.7042,
+      "step": 19583
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7313061603417646e-06,
+      "loss": 0.66,
+      "step": 19584
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7304359151383697e-06,
+      "loss": 0.7797,
+      "step": 19585
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.729565786675068e-06,
+      "loss": 0.6863,
+      "step": 19586
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.728695774965823e-06,
+      "loss": 0.8427,
+      "step": 19587
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7278258800246184e-06,
+      "loss": 0.8522,
+      "step": 19588
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7269561018654146e-06,
+      "loss": 0.7982,
+      "step": 19589
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.726086440502186e-06,
+      "loss": 0.7965,
+      "step": 19590
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.72521689594889e-06,
+      "loss": 0.7531,
+      "step": 19591
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.724347468219496e-06,
+      "loss": 0.8684,
+      "step": 19592
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7234781573279645e-06,
+      "loss": 0.8527,
+      "step": 19593
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.722608963288258e-06,
+      "loss": 0.7332,
+      "step": 19594
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7217398861143306e-06,
+      "loss": 0.726,
+      "step": 19595
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.720870925820139e-06,
+      "loss": 0.8043,
+      "step": 19596
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7200020824196404e-06,
+      "loss": 0.779,
+      "step": 19597
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7191333559267895e-06,
+      "loss": 0.779,
+      "step": 19598
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.718264746355529e-06,
+      "loss": 0.7349,
+      "step": 19599
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.717396253719816e-06,
+      "loss": 0.6728,
+      "step": 19600
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.716527878033588e-06,
+      "loss": 0.8168,
+      "step": 19601
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.715659619310801e-06,
+      "loss": 0.8675,
+      "step": 19602
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7147914775653896e-06,
+      "loss": 0.8293,
+      "step": 19603
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.713923452811301e-06,
+      "loss": 0.6175,
+      "step": 19604
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.713055545062465e-06,
+      "loss": 0.9517,
+      "step": 19605
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7121877543328334e-06,
+      "loss": 0.6904,
+      "step": 19606
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7113200806363316e-06,
+      "loss": 0.7573,
+      "step": 19607
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.710452523986897e-06,
+      "loss": 0.78,
+      "step": 19608
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7095850843984595e-06,
+      "loss": 0.7446,
+      "step": 19609
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.708717761884949e-06,
+      "loss": 0.9291,
+      "step": 19610
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7078505564602965e-06,
+      "loss": 0.921,
+      "step": 19611
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.706983468138428e-06,
+      "loss": 0.6466,
+      "step": 19612
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7061164969332634e-06,
+      "loss": 0.8177,
+      "step": 19613
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.705249642858728e-06,
+      "loss": 0.7619,
+      "step": 19614
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7043829059287462e-06,
+      "loss": 0.7812,
+      "step": 19615
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7035162861572297e-06,
+      "loss": 0.7883,
+      "step": 19616
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7026497835580978e-06,
+      "loss": 0.8309,
+      "step": 19617
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.701783398145268e-06,
+      "loss": 0.7575,
+      "step": 19618
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.700917129932653e-06,
+      "loss": 0.9266,
+      "step": 19619
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.70005097893416e-06,
+      "loss": 0.6276,
+      "step": 19620
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.699184945163704e-06,
+      "loss": 0.628,
+      "step": 19621
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.698319028635188e-06,
+      "loss": 0.7265,
+      "step": 19622
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6974532293625166e-06,
+      "loss": 0.8214,
+      "step": 19623
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6965875473595972e-06,
+      "loss": 0.7254,
+      "step": 19624
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6957219826403325e-06,
+      "loss": 0.7525,
+      "step": 19625
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.694856535218616e-06,
+      "loss": 0.7727,
+      "step": 19626
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6939912051083517e-06,
+      "loss": 0.6947,
+      "step": 19627
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6931259923234323e-06,
+      "loss": 0.7873,
+      "step": 19628
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.692260896877756e-06,
+      "loss": 0.7165,
+      "step": 19629
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6913959187852114e-06,
+      "loss": 0.7588,
+      "step": 19630
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6905310580596922e-06,
+      "loss": 0.6594,
+      "step": 19631
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.689666314715079e-06,
+      "loss": 0.7246,
+      "step": 19632
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6888016887652703e-06,
+      "loss": 0.7552,
+      "step": 19633
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6879371802241418e-06,
+      "loss": 0.8492,
+      "step": 19634
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6870727891055826e-06,
+      "loss": 0.5968,
+      "step": 19635
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.686208515423465e-06,
+      "loss": 0.8402,
+      "step": 19636
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6853443591916806e-06,
+      "loss": 0.7899,
+      "step": 19637
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6844803204240968e-06,
+      "loss": 0.7236,
+      "step": 19638
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6836163991345943e-06,
+      "loss": 0.704,
+      "step": 19639
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6827525953370425e-06,
+      "loss": 0.6673,
+      "step": 19640
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.681888909045315e-06,
+      "loss": 0.7262,
+      "step": 19641
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6810253402732798e-06,
+      "loss": 0.9371,
+      "step": 19642
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6801618890348113e-06,
+      "loss": 0.841,
+      "step": 19643
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.679298555343767e-06,
+      "loss": 0.5348,
+      "step": 19644
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.678435339214015e-06,
+      "loss": 0.8052,
+      "step": 19645
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.677572240659416e-06,
+      "loss": 0.7555,
+      "step": 19646
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6767092596938347e-06,
+      "loss": 0.7463,
+      "step": 19647
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.675846396331123e-06,
+      "loss": 0.7008,
+      "step": 19648
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6749836505851443e-06,
+      "loss": 0.7137,
+      "step": 19649
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6741210224697435e-06,
+      "loss": 0.7684,
+      "step": 19650
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6732585119987842e-06,
+      "loss": 0.7372,
+      "step": 19651
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6723961191861093e-06,
+      "loss": 0.7129,
+      "step": 19652
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.671533844045574e-06,
+      "loss": 0.7197,
+      "step": 19653
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.67067168659102e-06,
+      "loss": 0.7876,
+      "step": 19654
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6698096468362933e-06,
+      "loss": 0.8531,
+      "step": 19655
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.668947724795239e-06,
+      "loss": 0.7678,
+      "step": 19656
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.668085920481701e-06,
+      "loss": 0.8763,
+      "step": 19657
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6672242339095124e-06,
+      "loss": 0.6695,
+      "step": 19658
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6663626650925146e-06,
+      "loss": 0.7351,
+      "step": 19659
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6655012140445447e-06,
+      "loss": 0.7599,
+      "step": 19660
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6646398807794326e-06,
+      "loss": 0.7935,
+      "step": 19661
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.663778665311012e-06,
+      "loss": 0.8057,
+      "step": 19662
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.662917567653114e-06,
+      "loss": 0.7926,
+      "step": 19663
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.662056587819568e-06,
+      "loss": 0.8027,
+      "step": 19664
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.661195725824195e-06,
+      "loss": 0.8416,
+      "step": 19665
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6603349816808268e-06,
+      "loss": 0.7,
+      "step": 19666
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6594743554032753e-06,
+      "loss": 0.7557,
+      "step": 19667
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6586138470053725e-06,
+      "loss": 0.7152,
+      "step": 19668
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.65775345650093e-06,
+      "loss": 0.6288,
+      "step": 19669
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.656893183903769e-06,
+      "loss": 0.6661,
+      "step": 19670
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6560330292277e-06,
+      "loss": 0.8172,
+      "step": 19671
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6551729924865377e-06,
+      "loss": 0.7751,
+      "step": 19672
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6543130736940936e-06,
+      "loss": 0.7674,
+      "step": 19673
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6534532728641794e-06,
+      "loss": 0.6292,
+      "step": 19674
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.652593590010597e-06,
+      "loss": 0.7747,
+      "step": 19675
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6517340251471546e-06,
+      "loss": 0.8752,
+      "step": 19676
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6508745782876564e-06,
+      "loss": 0.8396,
+      "step": 19677
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6500152494459063e-06,
+      "loss": 0.7387,
+      "step": 19678
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6491560386356986e-06,
+      "loss": 0.7629,
+      "step": 19679
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6482969458708362e-06,
+      "loss": 0.6337,
+      "step": 19680
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6474379711651067e-06,
+      "loss": 0.773,
+      "step": 19681
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.646579114532316e-06,
+      "loss": 0.7748,
+      "step": 19682
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6457203759862473e-06,
+      "loss": 0.6868,
+      "step": 19683
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6448617555406973e-06,
+      "loss": 0.6995,
+      "step": 19684
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6440032532094453e-06,
+      "loss": 0.6854,
+      "step": 19685
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.643144869006289e-06,
+      "loss": 0.7174,
+      "step": 19686
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6422866029450046e-06,
+      "loss": 0.7297,
+      "step": 19687
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.641428455039381e-06,
+      "loss": 0.5986,
+      "step": 19688
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6405704253031916e-06,
+      "loss": 0.7148,
+      "step": 19689
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.63971251375022e-06,
+      "loss": 0.7647,
+      "step": 19690
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.638854720394243e-06,
+      "loss": 0.8058,
+      "step": 19691
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6379970452490368e-06,
+      "loss": 0.7608,
+      "step": 19692
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6371394883283708e-06,
+      "loss": 0.7821,
+      "step": 19693
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6362820496460185e-06,
+      "loss": 0.7426,
+      "step": 19694
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6354247292157486e-06,
+      "loss": 0.7648,
+      "step": 19695
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6345675270513325e-06,
+      "loss": 0.7631,
+      "step": 19696
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6337104431665294e-06,
+      "loss": 0.6915,
+      "step": 19697
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6328534775751103e-06,
+      "loss": 0.6824,
+      "step": 19698
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6319966302908286e-06,
+      "loss": 0.8345,
+      "step": 19699
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6311399013274484e-06,
+      "loss": 0.7571,
+      "step": 19700
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6302832906987287e-06,
+      "loss": 0.8492,
+      "step": 19701
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6294267984184264e-06,
+      "loss": 0.716,
+      "step": 19702
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6285704245002907e-06,
+      "loss": 0.8535,
+      "step": 19703
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6277141689580777e-06,
+      "loss": 0.8374,
+      "step": 19704
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6268580318055403e-06,
+      "loss": 0.6567,
+      "step": 19705
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6260020130564212e-06,
+      "loss": 0.8324,
+      "step": 19706
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.625146112724468e-06,
+      "loss": 0.8412,
+      "step": 19707
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.624290330823429e-06,
+      "loss": 0.7802,
+      "step": 19708
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6234346673670463e-06,
+      "loss": 0.7332,
+      "step": 19709
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6225791223690577e-06,
+      "loss": 0.7478,
+      "step": 19710
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6217236958432034e-06,
+      "loss": 0.7188,
+      "step": 19711
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6208683878032214e-06,
+      "loss": 0.8242,
+      "step": 19712
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6200131982628497e-06,
+      "loss": 0.7836,
+      "step": 19713
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6191581272358145e-06,
+      "loss": 0.8242,
+      "step": 19714
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6183031747358546e-06,
+      "loss": 0.7571,
+      "step": 19715
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6174483407766938e-06,
+      "loss": 0.7919,
+      "step": 19716
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.61659362537206e-06,
+      "loss": 0.7426,
+      "step": 19717
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.615739028535682e-06,
+      "loss": 0.781,
+      "step": 19718
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6148845502812846e-06,
+      "loss": 0.7975,
+      "step": 19719
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.614030190622584e-06,
+      "loss": 0.6698,
+      "step": 19720
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6131759495733046e-06,
+      "loss": 0.7303,
+      "step": 19721
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.612321827147162e-06,
+      "loss": 0.6739,
+      "step": 19722
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.611467823357877e-06,
+      "loss": 0.8645,
+      "step": 19723
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6106139382191575e-06,
+      "loss": 0.8073,
+      "step": 19724
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6097601717447186e-06,
+      "loss": 0.751,
+      "step": 19725
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6089065239482714e-06,
+      "loss": 0.867,
+      "step": 19726
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6080529948435262e-06,
+      "loss": 0.7136,
+      "step": 19727
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6071995844441845e-06,
+      "loss": 0.8123,
+      "step": 19728
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.606346292763957e-06,
+      "loss": 0.7407,
+      "step": 19729
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.605493119816537e-06,
+      "loss": 0.7525,
+      "step": 19730
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.604640065615638e-06,
+      "loss": 0.8248,
+      "step": 19731
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6037871301749484e-06,
+      "loss": 0.8989,
+      "step": 19732
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.602934313508174e-06,
+      "loss": 0.6721,
+      "step": 19733
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6020816156289986e-06,
+      "loss": 0.8582,
+      "step": 19734
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6012290365511297e-06,
+      "loss": 0.7167,
+      "step": 19735
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6003765762882473e-06,
+      "loss": 0.731,
+      "step": 19736
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.599524234854047e-06,
+      "loss": 0.6292,
+      "step": 19737
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.598672012262212e-06,
+      "loss": 0.8098,
+      "step": 19738
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.59781990852643e-06,
+      "loss": 0.8672,
+      "step": 19739
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.596967923660385e-06,
+      "loss": 0.8007,
+      "step": 19740
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.596116057677761e-06,
+      "loss": 0.7795,
+      "step": 19741
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.595264310592234e-06,
+      "loss": 0.7376,
+      "step": 19742
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.594412682417482e-06,
+      "loss": 0.7398,
+      "step": 19743
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.593561173167186e-06,
+      "loss": 0.8264,
+      "step": 19744
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.592709782855014e-06,
+      "loss": 0.8393,
+      "step": 19745
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5918585114946415e-06,
+      "loss": 0.8,
+      "step": 19746
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.591007359099741e-06,
+      "loss": 0.7759,
+      "step": 19747
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5901563256839745e-06,
+      "loss": 0.7626,
+      "step": 19748
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.589305411261014e-06,
+      "loss": 0.8326,
+      "step": 19749
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.588454615844521e-06,
+      "loss": 0.8123,
+      "step": 19750
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5876039394481634e-06,
+      "loss": 0.6994,
+      "step": 19751
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.586753382085595e-06,
+      "loss": 0.8271,
+      "step": 19752
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5859029437704775e-06,
+      "loss": 0.8372,
+      "step": 19753
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.585052624516472e-06,
+      "loss": 0.8864,
+      "step": 19754
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5842024243372268e-06,
+      "loss": 0.7327,
+      "step": 19755
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5833523432463982e-06,
+      "loss": 0.7605,
+      "step": 19756
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5825023812576377e-06,
+      "loss": 0.8475,
+      "step": 19757
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5816525383845968e-06,
+      "loss": 0.67,
+      "step": 19758
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5808028146409182e-06,
+      "loss": 0.7728,
+      "step": 19759
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.579953210040251e-06,
+      "loss": 0.7615,
+      "step": 19760
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5791037245962324e-06,
+      "loss": 0.7725,
+      "step": 19761
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.578254358322515e-06,
+      "loss": 0.7686,
+      "step": 19762
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5774051112327305e-06,
+      "loss": 0.7654,
+      "step": 19763
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5765559833405205e-06,
+      "loss": 0.8703,
+      "step": 19764
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5757069746595175e-06,
+      "loss": 0.7613,
+      "step": 19765
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5748580852033565e-06,
+      "loss": 0.6859,
+      "step": 19766
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5740093149856706e-06,
+      "loss": 0.8673,
+      "step": 19767
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5731606640200923e-06,
+      "loss": 0.7189,
+      "step": 19768
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.572312132320246e-06,
+      "loss": 0.5929,
+      "step": 19769
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5714637198997583e-06,
+      "loss": 0.8779,
+      "step": 19770
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.570615426772255e-06,
+      "loss": 0.7504,
+      "step": 19771
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5697672529513605e-06,
+      "loss": 0.8897,
+      "step": 19772
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.568919198450691e-06,
+      "loss": 0.7614,
+      "step": 19773
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5680712632838713e-06,
+      "loss": 0.8519,
+      "step": 19774
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5672234474645076e-06,
+      "loss": 0.712,
+      "step": 19775
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.566375751006227e-06,
+      "loss": 0.8413,
+      "step": 19776
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5655281739226356e-06,
+      "loss": 0.6391,
+      "step": 19777
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.564680716227348e-06,
+      "loss": 0.7154,
+      "step": 19778
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.563833377933964e-06,
+      "loss": 0.6625,
+      "step": 19779
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5629861590561055e-06,
+      "loss": 0.6817,
+      "step": 19780
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5621390596073657e-06,
+      "loss": 0.829,
+      "step": 19781
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5612920796013575e-06,
+      "loss": 0.7644,
+      "step": 19782
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5604452190516693e-06,
+      "loss": 0.7626,
+      "step": 19783
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.559598477971915e-06,
+      "loss": 0.8325,
+      "step": 19784
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5587518563756843e-06,
+      "loss": 0.6884,
+      "step": 19785
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.557905354276575e-06,
+      "loss": 0.7626,
+      "step": 19786
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5570589716881787e-06,
+      "loss": 0.7668,
+      "step": 19787
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5562127086240893e-06,
+      "loss": 0.7307,
+      "step": 19788
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5553665650978953e-06,
+      "loss": 0.7766,
+      "step": 19789
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.554520541123189e-06,
+      "loss": 0.8243,
+      "step": 19790
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.55367463671355e-06,
+      "loss": 0.7154,
+      "step": 19791
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5528288518825652e-06,
+      "loss": 0.8126,
+      "step": 19792
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5519831866438205e-06,
+      "loss": 0.8061,
+      "step": 19793
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.55113764101089e-06,
+      "loss": 0.6659,
+      "step": 19794
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5502922149973553e-06,
+      "loss": 0.698,
+      "step": 19795
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.549446908616795e-06,
+      "loss": 0.7748,
+      "step": 19796
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5486017218827784e-06,
+      "loss": 0.7061,
+      "step": 19797
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.547756654808882e-06,
+      "loss": 0.7885,
+      "step": 19798
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.546911707408677e-06,
+      "loss": 0.8214,
+      "step": 19799
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.546066879695729e-06,
+      "loss": 0.8211,
+      "step": 19800
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.545222171683606e-06,
+      "loss": 0.7897,
+      "step": 19801
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.544377583385873e-06,
+      "loss": 0.8613,
+      "step": 19802
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.543533114816098e-06,
+      "loss": 0.7584,
+      "step": 19803
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.542688765987833e-06,
+      "loss": 0.7804,
+      "step": 19804
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5418445369146462e-06,
+      "loss": 0.6501,
+      "step": 19805
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5410004276100842e-06,
+      "loss": 0.7389,
+      "step": 19806
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.540156438087714e-06,
+      "loss": 0.707,
+      "step": 19807
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.539312568361082e-06,
+      "loss": 0.7198,
+      "step": 19808
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5384688184437433e-06,
+      "loss": 0.8289,
+      "step": 19809
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.537625188349241e-06,
+      "loss": 0.7796,
+      "step": 19810
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5367816780911312e-06,
+      "loss": 0.8704,
+      "step": 19811
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.535938287682954e-06,
+      "loss": 0.8814,
+      "step": 19812
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5350950171382583e-06,
+      "loss": 0.7289,
+      "step": 19813
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5342518664705786e-06,
+      "loss": 0.725,
+      "step": 19814
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5334088356934592e-06,
+      "loss": 0.9852,
+      "step": 19815
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.532565924820438e-06,
+      "loss": 0.7809,
+      "step": 19816
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5317231338650538e-06,
+      "loss": 0.817,
+      "step": 19817
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5308804628408346e-06,
+      "loss": 0.7013,
+      "step": 19818
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.530037911761315e-06,
+      "loss": 0.5502,
+      "step": 19819
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.529195480640028e-06,
+      "loss": 0.6398,
+      "step": 19820
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5283531694905016e-06,
+      "loss": 0.7559,
+      "step": 19821
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5275109783262586e-06,
+      "loss": 0.8552,
+      "step": 19822
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5266689071608285e-06,
+      "loss": 0.852,
+      "step": 19823
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.525826956007724e-06,
+      "loss": 0.8437,
+      "step": 19824
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5249851248804804e-06,
+      "loss": 0.7654,
+      "step": 19825
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.524143413792606e-06,
+      "loss": 0.8368,
+      "step": 19826
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.523301822757623e-06,
+      "loss": 0.7329,
+      "step": 19827
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5224603517890377e-06,
+      "loss": 0.7911,
+      "step": 19828
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.521619000900376e-06,
+      "loss": 0.8378,
+      "step": 19829
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5207777701051385e-06,
+      "loss": 0.7206,
+      "step": 19830
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5199366594168417e-06,
+      "loss": 0.7217,
+      "step": 19831
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5190956688489855e-06,
+      "loss": 0.7435,
+      "step": 19832
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5182547984150794e-06,
+      "loss": 0.6851,
+      "step": 19833
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5174140481286257e-06,
+      "loss": 0.7342,
+      "step": 19834
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5165734180031286e-06,
+      "loss": 0.8626,
+      "step": 19835
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.515732908052083e-06,
+      "loss": 0.7878,
+      "step": 19836
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.514892518288988e-06,
+      "loss": 0.846,
+      "step": 19837
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.514052248727343e-06,
+      "loss": 0.7804,
+      "step": 19838
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5132120993806366e-06,
+      "loss": 0.6765,
+      "step": 19839
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5123720702623612e-06,
+      "loss": 0.6642,
+      "step": 19840
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.511532161386008e-06,
+      "loss": 0.8563,
+      "step": 19841
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.510692372765068e-06,
+      "loss": 0.7057,
+      "step": 19842
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5098527044130207e-06,
+      "loss": 0.8762,
+      "step": 19843
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.509013156343356e-06,
+      "loss": 0.6433,
+      "step": 19844
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.508173728569551e-06,
+      "loss": 0.8095,
+      "step": 19845
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5073344211050875e-06,
+      "loss": 0.8355,
+      "step": 19846
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.506495233963444e-06,
+      "loss": 0.7848,
+      "step": 19847
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5056561671581003e-06,
+      "loss": 0.7069,
+      "step": 19848
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5048172207025257e-06,
+      "loss": 0.7257,
+      "step": 19849
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5039783946101935e-06,
+      "loss": 0.8093,
+      "step": 19850
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.503139688894576e-06,
+      "loss": 0.703,
+      "step": 19851
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5023011035691435e-06,
+      "loss": 0.7763,
+      "step": 19852
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.501462638647357e-06,
+      "loss": 0.7104,
+      "step": 19853
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5006242941426874e-06,
+      "loss": 0.7177,
+      "step": 19854
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4997860700685883e-06,
+      "loss": 0.7051,
+      "step": 19855
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.498947966438533e-06,
+      "loss": 0.8714,
+      "step": 19856
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4981099832659706e-06,
+      "loss": 0.947,
+      "step": 19857
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.497272120564365e-06,
+      "loss": 0.7776,
+      "step": 19858
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.496434378347161e-06,
+      "loss": 0.7883,
+      "step": 19859
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.495596756627825e-06,
+      "loss": 0.82,
+      "step": 19860
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4947592554197988e-06,
+      "loss": 0.7981,
+      "step": 19861
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.493921874736537e-06,
+      "loss": 0.8011,
+      "step": 19862
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.493084614591481e-06,
+      "loss": 0.807,
+      "step": 19863
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4922474749980798e-06,
+      "loss": 0.8043,
+      "step": 19864
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.491410455969776e-06,
+      "loss": 0.7251,
+      "step": 19865
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.490573557520014e-06,
+      "loss": 0.8129,
+      "step": 19866
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4897367796622283e-06,
+      "loss": 0.6015,
+      "step": 19867
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4889001224098596e-06,
+      "loss": 0.6985,
+      "step": 19868
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4880635857763424e-06,
+      "loss": 0.8283,
+      "step": 19869
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.487227169775115e-06,
+      "loss": 0.6895,
+      "step": 19870
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.486390874419601e-06,
+      "loss": 0.8836,
+      "step": 19871
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4855546997232383e-06,
+      "loss": 0.8597,
+      "step": 19872
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.484718645699444e-06,
+      "loss": 0.7091,
+      "step": 19873
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.483882712361658e-06,
+      "loss": 0.7588,
+      "step": 19874
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4830468997232947e-06,
+      "loss": 0.8007,
+      "step": 19875
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.482211207797781e-06,
+      "loss": 0.7434,
+      "step": 19876
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.481375636598532e-06,
+      "loss": 0.6135,
+      "step": 19877
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.48054018613897e-06,
+      "loss": 0.7254,
+      "step": 19878
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.479704856432509e-06,
+      "loss": 0.7169,
+      "step": 19879
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4788696474925677e-06,
+      "loss": 0.8755,
+      "step": 19880
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4780345593325527e-06,
+      "loss": 0.8795,
+      "step": 19881
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4771995919658777e-06,
+      "loss": 0.6575,
+      "step": 19882
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4763647454059524e-06,
+      "loss": 0.7617,
+      "step": 19883
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.475530019666179e-06,
+      "loss": 0.6932,
+      "step": 19884
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4746954147599655e-06,
+      "loss": 0.6725,
+      "step": 19885
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.473860930700713e-06,
+      "loss": 0.684,
+      "step": 19886
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4730265675018274e-06,
+      "loss": 0.7748,
+      "step": 19887
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4721923251766998e-06,
+      "loss": 0.7874,
+      "step": 19888
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.471358203738733e-06,
+      "loss": 0.6988,
+      "step": 19889
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4705242032013166e-06,
+      "loss": 0.866,
+      "step": 19890
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4696903235778467e-06,
+      "loss": 0.7325,
+      "step": 19891
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4688565648817153e-06,
+      "loss": 0.719,
+      "step": 19892
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4680229271263123e-06,
+      "loss": 0.7211,
+      "step": 19893
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4671894103250194e-06,
+      "loss": 0.733,
+      "step": 19894
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4663560144912267e-06,
+      "loss": 0.7972,
+      "step": 19895
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.465522739638315e-06,
+      "loss": 0.7693,
+      "step": 19896
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4646895857796715e-06,
+      "loss": 0.729,
+      "step": 19897
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4638565529286664e-06,
+      "loss": 0.638,
+      "step": 19898
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.463023641098683e-06,
+      "loss": 0.8229,
+      "step": 19899
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4621908503030946e-06,
+      "loss": 0.7567,
+      "step": 19900
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.461358180555279e-06,
+      "loss": 0.7441,
+      "step": 19901
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.460525631868602e-06,
+      "loss": 0.8982,
+      "step": 19902
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4596932042564382e-06,
+      "loss": 0.843,
+      "step": 19903
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.458860897732147e-06,
+      "loss": 0.6993,
+      "step": 19904
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4580287123091073e-06,
+      "loss": 0.7525,
+      "step": 19905
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4571966480006713e-06,
+      "loss": 0.6947,
+      "step": 19906
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.45636470482021e-06,
+      "loss": 0.7973,
+      "step": 19907
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.455532882781072e-06,
+      "loss": 0.8168,
+      "step": 19908
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4547011818966283e-06,
+      "loss": 0.7779,
+      "step": 19909
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4538696021802257e-06,
+      "loss": 0.7694,
+      "step": 19910
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4530381436452244e-06,
+      "loss": 0.8578,
+      "step": 19911
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4522068063049707e-06,
+      "loss": 0.696,
+      "step": 19912
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4513755901728177e-06,
+      "loss": 0.8317,
+      "step": 19913
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.450544495262115e-06,
+      "loss": 0.7717,
+      "step": 19914
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.449713521586209e-06,
+      "loss": 0.772,
+      "step": 19915
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.44888266915844e-06,
+      "loss": 0.8208,
+      "step": 19916
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.448051937992154e-06,
+      "loss": 0.7588,
+      "step": 19917
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4472213281006905e-06,
+      "loss": 0.8931,
+      "step": 19918
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.446390839497391e-06,
+      "loss": 0.7155,
+      "step": 19919
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4455604721955872e-06,
+      "loss": 0.8598,
+      "step": 19920
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.444730226208618e-06,
+      "loss": 0.7033,
+      "step": 19921
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.443900101549812e-06,
+      "loss": 0.6563,
+      "step": 19922
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4430700982325018e-06,
+      "loss": 0.6788,
+      "step": 19923
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4422402162700153e-06,
+      "loss": 0.6685,
+      "step": 19924
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4414104556756845e-06,
+      "loss": 0.614,
+      "step": 19925
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4405808164628275e-06,
+      "loss": 0.6254,
+      "step": 19926
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.43975129864477e-06,
+      "loss": 0.593,
+      "step": 19927
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4389219022348366e-06,
+      "loss": 0.6504,
+      "step": 19928
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.438092627246339e-06,
+      "loss": 0.8437,
+      "step": 19929
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.437263473692598e-06,
+      "loss": 0.7419,
+      "step": 19930
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4364344415869303e-06,
+      "loss": 0.5892,
+      "step": 19931
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.43560553094265e-06,
+      "loss": 0.665,
+      "step": 19932
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4347767417730626e-06,
+      "loss": 0.6739,
+      "step": 19933
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4339480740914844e-06,
+      "loss": 0.7083,
+      "step": 19934
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.433119527911214e-06,
+      "loss": 0.7772,
+      "step": 19935
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4322911032455676e-06,
+      "loss": 0.7806,
+      "step": 19936
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.43146280010784e-06,
+      "loss": 0.7074,
+      "step": 19937
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4306346185113395e-06,
+      "loss": 0.6598,
+      "step": 19938
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4298065584693586e-06,
+      "loss": 0.8383,
+      "step": 19939
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.428978619995198e-06,
+      "loss": 0.7783,
+      "step": 19940
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.428150803102155e-06,
+      "loss": 0.6475,
+      "step": 19941
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4273231078035244e-06,
+      "loss": 0.8509,
+      "step": 19942
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.426495534112592e-06,
+      "loss": 0.8849,
+      "step": 19943
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4256680820426515e-06,
+      "loss": 0.729,
+      "step": 19944
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4248407516069903e-06,
+      "loss": 0.7853,
+      "step": 19945
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.424013542818898e-06,
+      "loss": 0.8222,
+      "step": 19946
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.423186455691652e-06,
+      "loss": 0.7237,
+      "step": 19947
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4223594902385394e-06,
+      "loss": 0.7207,
+      "step": 19948
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.421532646472833e-06,
+      "loss": 0.74,
+      "step": 19949
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4207059244078212e-06,
+      "loss": 0.7194,
+      "step": 19950
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.419879324056773e-06,
+      "loss": 0.7333,
+      "step": 19951
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4190528454329666e-06,
+      "loss": 0.5954,
+      "step": 19952
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4182264885496663e-06,
+      "loss": 0.6497,
+      "step": 19953
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4174002534201536e-06,
+      "loss": 0.7169,
+      "step": 19954
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4165741400576894e-06,
+      "loss": 0.6755,
+      "step": 19955
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.415748148475543e-06,
+      "loss": 0.8493,
+      "step": 19956
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.414922278686973e-06,
+      "loss": 0.7908,
+      "step": 19957
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4140965307052534e-06,
+      "loss": 0.7358,
+      "step": 19958
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.413270904543633e-06,
+      "loss": 0.8347,
+      "step": 19959
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4124454002153796e-06,
+      "loss": 0.8472,
+      "step": 19960
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.411620017733741e-06,
+      "loss": 0.9073,
+      "step": 19961
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.410794757111977e-06,
+      "loss": 0.823,
+      "step": 19962
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.40996961836334e-06,
+      "loss": 0.6385,
+      "step": 19963
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.409144601501082e-06,
+      "loss": 0.8547,
+      "step": 19964
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.408319706538448e-06,
+      "loss": 0.969,
+      "step": 19965
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4074949334886855e-06,
+      "loss": 0.7388,
+      "step": 19966
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4066702823650434e-06,
+      "loss": 0.7668,
+      "step": 19967
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4058457531807587e-06,
+      "loss": 0.8962,
+      "step": 19968
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4050213459490755e-06,
+      "loss": 0.782,
+      "step": 19969
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4041970606832355e-06,
+      "loss": 0.6639,
+      "step": 19970
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.40337289739647e-06,
+      "loss": 0.6276,
+      "step": 19971
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.402548856102016e-06,
+      "loss": 0.7826,
+      "step": 19972
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.40172493681311e-06,
+      "loss": 0.616,
+      "step": 19973
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4009011395429784e-06,
+      "loss": 0.7311,
+      "step": 19974
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.400077464304852e-06,
+      "loss": 0.7432,
+      "step": 19975
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3992539111119585e-06,
+      "loss": 0.8043,
+      "step": 19976
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.398430479977525e-06,
+      "loss": 0.7901,
+      "step": 19977
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.39760717091477e-06,
+      "loss": 0.8235,
+      "step": 19978
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.39678398393692e-06,
+      "loss": 0.6525,
+      "step": 19979
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3959609190571864e-06,
+      "loss": 0.814,
+      "step": 19980
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3951379762887983e-06,
+      "loss": 0.7275,
+      "step": 19981
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.394315155644962e-06,
+      "loss": 0.7396,
+      "step": 19982
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.393492457138896e-06,
+      "loss": 0.7801,
+      "step": 19983
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3926698807838045e-06,
+      "loss": 0.7854,
+      "step": 19984
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3918474265929082e-06,
+      "loss": 0.6466,
+      "step": 19985
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3910250945794055e-06,
+      "loss": 0.7299,
+      "step": 19986
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3902028847565074e-06,
+      "loss": 0.74,
+      "step": 19987
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.389380797137413e-06,
+      "loss": 0.8297,
+      "step": 19988
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.388558831735327e-06,
+      "loss": 0.7868,
+      "step": 19989
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.387736988563447e-06,
+      "loss": 0.6709,
+      "step": 19990
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.386915267634976e-06,
+      "loss": 0.7111,
+      "step": 19991
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3860936689631042e-06,
+      "loss": 0.6931,
+      "step": 19992
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3852721925610257e-06,
+      "loss": 0.7793,
+      "step": 19993
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.384450838441935e-06,
+      "loss": 0.7937,
+      "step": 19994
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3836296066190235e-06,
+      "loss": 0.7382,
+      "step": 19995
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.382808497105473e-06,
+      "loss": 0.762,
+      "step": 19996
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3819875099144772e-06,
+      "loss": 0.7032,
+      "step": 19997
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3811666450592108e-06,
+      "loss": 0.6465,
+      "step": 19998
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3803459025528654e-06,
+      "loss": 0.8122,
+      "step": 19999
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3795252824086145e-06,
+      "loss": 0.8687,
+      "step": 20000
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3787047846396418e-06,
+      "loss": 0.8801,
+      "step": 20001
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.377884409259115e-06,
+      "loss": 0.6658,
+      "step": 20002
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.377064156280219e-06,
+      "loss": 0.7739,
+      "step": 20003
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.376244025716117e-06,
+      "loss": 0.7426,
+      "step": 20004
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.375424017579986e-06,
+      "loss": 0.7221,
+      "step": 20005
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3746041318849876e-06,
+      "loss": 0.9278,
+      "step": 20006
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.373784368644293e-06,
+      "loss": 0.8019,
+      "step": 20007
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.372964727871064e-06,
+      "loss": 0.6518,
+      "step": 20008
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.372145209578468e-06,
+      "loss": 0.7193,
+      "step": 20009
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.371325813779659e-06,
+      "loss": 0.7165,
+      "step": 20010
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3705065404877982e-06,
+      "loss": 0.7099,
+      "step": 20011
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3696873897160442e-06,
+      "loss": 0.8005,
+      "step": 20012
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3688683614775464e-06,
+      "loss": 0.6152,
+      "step": 20013
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3680494557854604e-06,
+      "loss": 0.8402,
+      "step": 20014
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.367230672652938e-06,
+      "loss": 0.7246,
+      "step": 20015
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.366412012093129e-06,
+      "loss": 0.6911,
+      "step": 20016
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3655934741191734e-06,
+      "loss": 0.7771,
+      "step": 20017
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.364775058744224e-06,
+      "loss": 0.7318,
+      "step": 20018
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3639567659814176e-06,
+      "loss": 0.7945,
+      "step": 20019
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3631385958438958e-06,
+      "loss": 0.6472,
+      "step": 20020
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3623205483448e-06,
+      "loss": 0.9088,
+      "step": 20021
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3615026234972673e-06,
+      "loss": 0.768,
+      "step": 20022
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3606848213144284e-06,
+      "loss": 0.7864,
+      "step": 20023
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.359867141809419e-06,
+      "loss": 0.6446,
+      "step": 20024
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.359049584995369e-06,
+      "loss": 0.7889,
+      "step": 20025
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3582321508854112e-06,
+      "loss": 0.8219,
+      "step": 20026
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3574148394926668e-06,
+      "loss": 0.7382,
+      "step": 20027
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3565976508302657e-06,
+      "loss": 0.8692,
+      "step": 20028
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3557805849113234e-06,
+      "loss": 0.7903,
+      "step": 20029
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.354963641748972e-06,
+      "loss": 0.8217,
+      "step": 20030
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3541468213563213e-06,
+      "loss": 0.6912,
+      "step": 20031
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3533301237464945e-06,
+      "loss": 0.9089,
+      "step": 20032
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.352513548932599e-06,
+      "loss": 0.8386,
+      "step": 20033
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3516970969277585e-06,
+      "loss": 0.7267,
+      "step": 20034
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.350880767745076e-06,
+      "loss": 0.6547,
+      "step": 20035
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.350064561397667e-06,
+      "loss": 0.7623,
+      "step": 20036
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.349248477898631e-06,
+      "loss": 0.7312,
+      "step": 20037
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3484325172610788e-06,
+      "loss": 0.7398,
+      "step": 20038
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3476166794981124e-06,
+      "loss": 0.888,
+      "step": 20039
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.346800964622835e-06,
+      "loss": 0.6716,
+      "step": 20040
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.345985372648342e-06,
+      "loss": 0.6914,
+      "step": 20041
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.345169903587733e-06,
+      "loss": 0.7717,
+      "step": 20042
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3443545574541026e-06,
+      "loss": 0.8295,
+      "step": 20043
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3435393342605484e-06,
+      "loss": 0.7297,
+      "step": 20044
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.342724234020155e-06,
+      "loss": 0.7041,
+      "step": 20045
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.341909256746019e-06,
+      "loss": 0.8948,
+      "step": 20046
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3410944024512184e-06,
+      "loss": 0.7146,
+      "step": 20047
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3402796711488494e-06,
+      "loss": 0.8729,
+      "step": 20048
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3394650628519876e-06,
+      "loss": 0.5764,
+      "step": 20049
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3386505775737224e-06,
+      "loss": 0.7973,
+      "step": 20050
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3378362153271238e-06,
+      "loss": 0.6619,
+      "step": 20051
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3370219761252757e-06,
+      "loss": 0.7762,
+      "step": 20052
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.336207859981252e-06,
+      "loss": 0.6923,
+      "step": 20053
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.33539386690813e-06,
+      "loss": 0.7694,
+      "step": 20054
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.334579996918975e-06,
+      "loss": 0.7894,
+      "step": 20055
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.33376625002686e-06,
+      "loss": 0.8659,
+      "step": 20056
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.332952626244852e-06,
+      "loss": 0.731,
+      "step": 20057
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3321391255860215e-06,
+      "loss": 0.721,
+      "step": 20058
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3313257480634244e-06,
+      "loss": 0.7179,
+      "step": 20059
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3305124936901267e-06,
+      "loss": 0.8122,
+      "step": 20060
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.329699362479192e-06,
+      "loss": 0.812,
+      "step": 20061
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.32888635444367e-06,
+      "loss": 0.6863,
+      "step": 20062
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.328073469596621e-06,
+      "loss": 0.6227,
+      "step": 20063
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.327260707951101e-06,
+      "loss": 0.7298,
+      "step": 20064
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3264480695201575e-06,
+      "loss": 0.8098,
+      "step": 20065
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.325635554316842e-06,
+      "loss": 0.6299,
+      "step": 20066
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.324823162354206e-06,
+      "loss": 0.7199,
+      "step": 20067
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3240108936452897e-06,
+      "loss": 0.6827,
+      "step": 20068
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3231987482031403e-06,
+      "loss": 0.8316,
+      "step": 20069
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3223867260407985e-06,
+      "loss": 0.7281,
+      "step": 20070
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.321574827171309e-06,
+      "loss": 0.8515,
+      "step": 20071
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3207630516077027e-06,
+      "loss": 0.8639,
+      "step": 20072
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3199513993630195e-06,
+      "loss": 0.6757,
+      "step": 20073
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3191398704502933e-06,
+      "loss": 0.597,
+      "step": 20074
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3183284648825577e-06,
+      "loss": 0.6156,
+      "step": 20075
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3175171826728403e-06,
+      "loss": 0.7191,
+      "step": 20076
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.316706023834172e-06,
+      "loss": 0.7974,
+      "step": 20077
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.315894988379572e-06,
+      "loss": 0.6482,
+      "step": 20078
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.315084076322075e-06,
+      "loss": 0.7496,
+      "step": 20079
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3142732876746954e-06,
+      "loss": 0.6556,
+      "step": 20080
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3134626224504586e-06,
+      "loss": 0.8416,
+      "step": 20081
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3126520806623752e-06,
+      "loss": 0.8306,
+      "step": 20082
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.311841662323472e-06,
+      "loss": 0.9313,
+      "step": 20083
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3110313674467556e-06,
+      "loss": 0.8747,
+      "step": 20084
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3102211960452427e-06,
+      "loss": 0.7412,
+      "step": 20085
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3094111481319394e-06,
+      "loss": 0.8697,
+      "step": 20086
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3086012237198553e-06,
+      "loss": 0.7943,
+      "step": 20087
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.307791422821998e-06,
+      "loss": 0.778,
+      "step": 20088
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3069817454513744e-06,
+      "loss": 0.7968,
+      "step": 20089
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3061721916209824e-06,
+      "loss": 0.7039,
+      "step": 20090
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3053627613438224e-06,
+      "loss": 0.8261,
+      "step": 20091
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3045534546328952e-06,
+      "loss": 0.8363,
+      "step": 20092
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3037442715011994e-06,
+      "loss": 0.724,
+      "step": 20093
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.302935211961724e-06,
+      "loss": 0.7753,
+      "step": 20094
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3021262760274667e-06,
+      "loss": 0.8938,
+      "step": 20095
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.30131746371141e-06,
+      "loss": 0.8367,
+      "step": 20096
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3005087750265532e-06,
+      "loss": 0.7811,
+      "step": 20097
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2997002099858756e-06,
+      "loss": 0.7618,
+      "step": 20098
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.298891768602365e-06,
+      "loss": 0.7336,
+      "step": 20099
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2980834508890004e-06,
+      "loss": 0.7043,
+      "step": 20100
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2972752568587652e-06,
+      "loss": 0.685,
+      "step": 20101
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2964671865246367e-06,
+      "loss": 0.8337,
+      "step": 20102
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2956592398995947e-06,
+      "loss": 0.9422,
+      "step": 20103
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2948514169966086e-06,
+      "loss": 0.6099,
+      "step": 20104
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2940437178286532e-06,
+      "loss": 0.7279,
+      "step": 20105
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2932361424087035e-06,
+      "loss": 0.7925,
+      "step": 20106
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2924286907497207e-06,
+      "loss": 0.6935,
+      "step": 20107
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2916213628646754e-06,
+      "loss": 0.7533,
+      "step": 20108
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.290814158766531e-06,
+      "loss": 0.6377,
+      "step": 20109
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2900070784682548e-06,
+      "loss": 0.7568,
+      "step": 20110
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.289200121982801e-06,
+      "loss": 0.7429,
+      "step": 20111
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.288393289323133e-06,
+      "loss": 0.726,
+      "step": 20112
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2875865805022037e-06,
+      "loss": 0.8238,
+      "step": 20113
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2867799955329695e-06,
+      "loss": 0.8119,
+      "step": 20114
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.285973534428383e-06,
+      "loss": 0.7791,
+      "step": 20115
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.285167197201398e-06,
+      "loss": 0.7146,
+      "step": 20116
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2843609838649584e-06,
+      "loss": 0.5984,
+      "step": 20117
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2835548944320127e-06,
+      "loss": 0.7822,
+      "step": 20118
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2827489289155056e-06,
+      "loss": 0.6926,
+      "step": 20119
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2819430873283843e-06,
+      "loss": 0.6982,
+      "step": 20120
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2811373696835827e-06,
+      "loss": 0.6456,
+      "step": 20121
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.280331775994046e-06,
+      "loss": 0.7707,
+      "step": 20122
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2795263062727013e-06,
+      "loss": 0.6649,
+      "step": 20123
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2787209605324954e-06,
+      "loss": 0.6678,
+      "step": 20124
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2779157387863527e-06,
+      "loss": 0.7951,
+      "step": 20125
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.27711064104721e-06,
+      "loss": 0.8852,
+      "step": 20126
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2763056673279873e-06,
+      "loss": 0.7805,
+      "step": 20127
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2755008176416236e-06,
+      "loss": 0.6701,
+      "step": 20128
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.274696092001034e-06,
+      "loss": 0.6975,
+      "step": 20129
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2738914904191477e-06,
+      "loss": 0.7126,
+      "step": 20130
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2730870129088767e-06,
+      "loss": 0.8708,
+      "step": 20131
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2722826594831515e-06,
+      "loss": 0.764,
+      "step": 20132
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.271478430154881e-06,
+      "loss": 0.8911,
+      "step": 20133
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2706743249369855e-06,
+      "loss": 0.8466,
+      "step": 20134
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.269870343842372e-06,
+      "loss": 0.8118,
+      "step": 20135
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.269066486883954e-06,
+      "loss": 0.8127,
+      "step": 20136
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2682627540746415e-06,
+      "loss": 0.7355,
+      "step": 20137
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.267459145427343e-06,
+      "loss": 0.7312,
+      "step": 20138
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2666556609549597e-06,
+      "loss": 0.7391,
+      "step": 20139
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2658523006703948e-06,
+      "loss": 0.7946,
+      "step": 20140
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.265049064586551e-06,
+      "loss": 0.701,
+      "step": 20141
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2642459527163287e-06,
+      "loss": 0.8618,
+      "step": 20142
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.263442965072621e-06,
+      "loss": 0.6951,
+      "step": 20143
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2626401016683275e-06,
+      "loss": 0.8201,
+      "step": 20144
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2618373625163347e-06,
+      "loss": 0.8859,
+      "step": 20145
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.261034747629539e-06,
+      "loss": 0.7902,
+      "step": 20146
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.260232257020827e-06,
+      "loss": 0.8527,
+      "step": 20147
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.25942989070309e-06,
+      "loss": 0.9393,
+      "step": 20148
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2586276486892055e-06,
+      "loss": 0.7425,
+      "step": 20149
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2578255309920605e-06,
+      "loss": 0.6107,
+      "step": 20150
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2570235376245397e-06,
+      "loss": 0.7093,
+      "step": 20151
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2562216685995154e-06,
+      "loss": 0.6875,
+      "step": 20152
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.255419923929867e-06,
+      "loss": 0.7705,
+      "step": 20153
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.254618303628471e-06,
+      "loss": 0.7449,
+      "step": 20154
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2538168077082013e-06,
+      "loss": 0.742,
+      "step": 20155
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2530154361819257e-06,
+      "loss": 0.6999,
+      "step": 20156
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.252214189062516e-06,
+      "loss": 0.6639,
+      "step": 20157
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2514130663628333e-06,
+      "loss": 0.7524,
+      "step": 20158
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2506120680957522e-06,
+      "loss": 0.863,
+      "step": 20159
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2498111942741284e-06,
+      "loss": 0.6681,
+      "step": 20160
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2490104449108287e-06,
+      "loss": 0.6576,
+      "step": 20161
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2482098200187054e-06,
+      "loss": 0.8883,
+      "step": 20162
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2474093196106183e-06,
+      "loss": 0.8018,
+      "step": 20163
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2466089436994232e-06,
+      "loss": 0.7579,
+      "step": 20164
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.245808692297976e-06,
+      "loss": 0.698,
+      "step": 20165
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.245008565419121e-06,
+      "loss": 0.7458,
+      "step": 20166
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2442085630757128e-06,
+      "loss": 0.811,
+      "step": 20167
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.243408685280595e-06,
+      "loss": 0.7261,
+      "step": 20168
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.242608932046617e-06,
+      "loss": 0.7448,
+      "step": 20169
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.241809303386616e-06,
+      "loss": 0.8107,
+      "step": 20170
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2410097993134393e-06,
+      "loss": 0.7702,
+      "step": 20171
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.240210419839918e-06,
+      "loss": 0.8092,
+      "step": 20172
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2394111649788986e-06,
+      "loss": 0.6537,
+      "step": 20173
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.238612034743208e-06,
+      "loss": 0.7187,
+      "step": 20174
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2378130291456856e-06,
+      "loss": 0.8315,
+      "step": 20175
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.237014148199155e-06,
+      "loss": 0.6899,
+      "step": 20176
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.236215391916453e-06,
+      "loss": 0.7687,
+      "step": 20177
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2354167603104016e-06,
+      "loss": 0.661,
+      "step": 20178
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.234618253393831e-06,
+      "loss": 0.7397,
+      "step": 20179
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2338198711795543e-06,
+      "loss": 0.7481,
+      "step": 20180
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2330216136804038e-06,
+      "loss": 0.7091,
+      "step": 20181
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2322234809091925e-06,
+      "loss": 0.8083,
+      "step": 20182
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.23142547287874e-06,
+      "loss": 0.555,
+      "step": 20183
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2306275896018583e-06,
+      "loss": 0.8992,
+      "step": 20184
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2298298310913603e-06,
+      "loss": 0.767,
+      "step": 20185
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2290321973600593e-06,
+      "loss": 0.7235,
+      "step": 20186
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.228234688420767e-06,
+      "loss": 0.71,
+      "step": 20187
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.227437304286284e-06,
+      "loss": 0.6975,
+      "step": 20188
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.226640044969418e-06,
+      "loss": 0.7295,
+      "step": 20189
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2258429104829747e-06,
+      "loss": 0.7411,
+      "step": 20190
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2250459008397505e-06,
+      "loss": 0.6382,
+      "step": 20191
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2242490160525467e-06,
+      "loss": 0.7574,
+      "step": 20192
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2234522561341632e-06,
+      "loss": 0.7782,
+      "step": 20193
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2226556210973882e-06,
+      "loss": 0.713,
+      "step": 20194
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.221859110955019e-06,
+      "loss": 0.6735,
+      "step": 20195
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2210627257198493e-06,
+      "loss": 0.7024,
+      "step": 20196
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.22026646540466e-06,
+      "loss": 0.795,
+      "step": 20197
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.219470330022244e-06,
+      "loss": 0.8692,
+      "step": 20198
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2186743195853855e-06,
+      "loss": 0.6821,
+      "step": 20199
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2178784341068683e-06,
+      "loss": 0.8626,
+      "step": 20200
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.21708267359947e-06,
+      "loss": 0.8071,
+      "step": 20201
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.216287038075974e-06,
+      "loss": 0.6381,
+      "step": 20202
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2154915275491493e-06,
+      "loss": 0.7003,
+      "step": 20203
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2146961420317815e-06,
+      "loss": 0.7666,
+      "step": 20204
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2139008815366346e-06,
+      "loss": 0.6996,
+      "step": 20205
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.213105746076487e-06,
+      "loss": 0.7799,
+      "step": 20206
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.212310735664097e-06,
+      "loss": 0.6879,
+      "step": 20207
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2115158503122447e-06,
+      "loss": 0.7462,
+      "step": 20208
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.210721090033685e-06,
+      "loss": 0.6982,
+      "step": 20209
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.209926454841187e-06,
+      "loss": 0.755,
+      "step": 20210
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2091319447475057e-06,
+      "loss": 0.7068,
+      "step": 20211
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.208337559765403e-06,
+      "loss": 0.6912,
+      "step": 20212
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2075432999076353e-06,
+      "loss": 0.8226,
+      "step": 20213
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.206749165186961e-06,
+      "loss": 0.7019,
+      "step": 20214
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2059551556161265e-06,
+      "loss": 0.7656,
+      "step": 20215
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.205161271207885e-06,
+      "loss": 0.7465,
+      "step": 20216
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2043675119749874e-06,
+      "loss": 0.7764,
+      "step": 20217
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2035738779301806e-06,
+      "loss": 0.7322,
+      "step": 20218
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.202780369086206e-06,
+      "loss": 0.7378,
+      "step": 20219
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.201986985455811e-06,
+      "loss": 0.7331,
+      "step": 20220
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.201193727051727e-06,
+      "loss": 0.5981,
+      "step": 20221
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2004005938867055e-06,
+      "loss": 0.739,
+      "step": 20222
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1996075859734746e-06,
+      "loss": 0.6532,
+      "step": 20223
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.198814703324774e-06,
+      "loss": 0.7384,
+      "step": 20224
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1980219459533282e-06,
+      "loss": 0.7152,
+      "step": 20225
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.197229313871878e-06,
+      "loss": 0.8414,
+      "step": 20226
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.196436807093146e-06,
+      "loss": 0.7915,
+      "step": 20227
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1956444256298638e-06,
+      "loss": 0.7439,
+      "step": 20228
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.194852169494749e-06,
+      "loss": 0.8704,
+      "step": 20229
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1940600387005284e-06,
+      "loss": 0.9267,
+      "step": 20230
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.193268033259921e-06,
+      "loss": 0.7609,
+      "step": 20231
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.192476153185651e-06,
+      "loss": 0.6033,
+      "step": 20232
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1916843984904266e-06,
+      "loss": 0.8031,
+      "step": 20233
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1908927691869673e-06,
+      "loss": 0.8256,
+      "step": 20234
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1901012652879872e-06,
+      "loss": 0.7606,
+      "step": 20235
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.189309886806191e-06,
+      "loss": 0.7654,
+      "step": 20236
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1885186337542918e-06,
+      "loss": 0.824,
+      "step": 20237
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.187727506144994e-06,
+      "loss": 0.7629,
+      "step": 20238
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1869365039910075e-06,
+      "loss": 0.8185,
+      "step": 20239
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1861456273050265e-06,
+      "loss": 0.773,
+      "step": 20240
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1853548760997577e-06,
+      "loss": 0.8412,
+      "step": 20241
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.184564250387895e-06,
+      "loss": 0.795,
+      "step": 20242
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1837737501821375e-06,
+      "loss": 0.8354,
+      "step": 20243
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.182983375495179e-06,
+      "loss": 0.8004,
+      "step": 20244
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1821931263397156e-06,
+      "loss": 0.8135,
+      "step": 20245
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1814030027284306e-06,
+      "loss": 0.7897,
+      "step": 20246
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1806130046740172e-06,
+      "loss": 0.7297,
+      "step": 20247
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1798231321891593e-06,
+      "loss": 0.7818,
+      "step": 20248
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1790333852865463e-06,
+      "loss": 0.8289,
+      "step": 20249
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1782437639788535e-06,
+      "loss": 0.807,
+      "step": 20250
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.177454268278768e-06,
+      "loss": 0.6909,
+      "step": 20251
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.176664898198959e-06,
+      "loss": 0.6053,
+      "step": 20252
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1758756537521143e-06,
+      "loss": 0.6902,
+      "step": 20253
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1750865349508997e-06,
+      "loss": 0.7548,
+      "step": 20254
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1742975418079927e-06,
+      "loss": 0.7024,
+      "step": 20255
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1735086743360556e-06,
+      "loss": 0.7788,
+      "step": 20256
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1727199325477676e-06,
+      "loss": 0.7827,
+      "step": 20257
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1719313164557863e-06,
+      "loss": 0.6665,
+      "step": 20258
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.171142826072783e-06,
+      "loss": 0.8623,
+      "step": 20259
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1703544614114114e-06,
+      "loss": 0.7036,
+      "step": 20260
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1695662224843373e-06,
+      "loss": 0.7677,
+      "step": 20261
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.168778109304217e-06,
+      "loss": 0.7782,
+      "step": 20262
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1679901218837098e-06,
+      "loss": 0.7898,
+      "step": 20263
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.167202260235465e-06,
+      "loss": 0.6165,
+      "step": 20264
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1664145243721358e-06,
+      "loss": 0.6657,
+      "step": 20265
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1656269143063736e-06,
+      "loss": 0.702,
+      "step": 20266
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1648394300508293e-06,
+      "loss": 0.6917,
+      "step": 20267
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1640520716181435e-06,
+      "loss": 0.741,
+      "step": 20268
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.163264839020964e-06,
+      "loss": 0.7477,
+      "step": 20269
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.162477732271926e-06,
+      "loss": 0.6869,
+      "step": 20270
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1616907513836805e-06,
+      "loss": 0.7148,
+      "step": 20271
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1609038963688567e-06,
+      "loss": 0.6994,
+      "step": 20272
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1601171672400966e-06,
+      "loss": 0.7793,
+      "step": 20273
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.159330564010028e-06,
+      "loss": 0.779,
+      "step": 20274
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1585440866912854e-06,
+      "loss": 0.7311,
+      "step": 20275
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1577577352964984e-06,
+      "loss": 0.8277,
+      "step": 20276
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.156971509838298e-06,
+      "loss": 0.7944,
+      "step": 20277
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1561854103293057e-06,
+      "loss": 0.7186,
+      "step": 20278
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.155399436782146e-06,
+      "loss": 0.6437,
+      "step": 20279
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1546135892094443e-06,
+      "loss": 0.7851,
+      "step": 20280
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1538278676238156e-06,
+      "loss": 0.7531,
+      "step": 20281
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1530422720378785e-06,
+      "loss": 0.7645,
+      "step": 20282
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1522568024642498e-06,
+      "loss": 0.7228,
+      "step": 20283
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.151471458915546e-06,
+      "loss": 0.6246,
+      "step": 20284
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.150686241404374e-06,
+      "loss": 0.793,
+      "step": 20285
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1499011499433463e-06,
+      "loss": 0.7063,
+      "step": 20286
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.149116184545068e-06,
+      "loss": 0.7478,
+      "step": 20287
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1483313452221453e-06,
+      "loss": 0.857,
+      "step": 20288
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.147546631987183e-06,
+      "loss": 0.7235,
+      "step": 20289
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.146762044852785e-06,
+      "loss": 0.6542,
+      "step": 20290
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1459775838315445e-06,
+      "loss": 0.8062,
+      "step": 20291
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1451932489360628e-06,
+      "loss": 0.7268,
+      "step": 20292
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.144409040178934e-06,
+      "loss": 0.8168,
+      "step": 20293
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1436249575727564e-06,
+      "loss": 0.6637,
+      "step": 20294
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1428410011301136e-06,
+      "loss": 0.6308,
+      "step": 20295
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1420571708635997e-06,
+      "loss": 0.7874,
+      "step": 20296
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1412734667858003e-06,
+      "loss": 0.8786,
+      "step": 20297
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.140489888909305e-06,
+      "loss": 0.7265,
+      "step": 20298
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1397064372466903e-06,
+      "loss": 0.7568,
+      "step": 20299
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1389231118105437e-06,
+      "loss": 0.721,
+      "step": 20300
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.138139912613436e-06,
+      "loss": 0.7623,
+      "step": 20301
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1373568396679557e-06,
+      "loss": 0.7861,
+      "step": 20302
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1365738929866686e-06,
+      "loss": 0.7578,
+      "step": 20303
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.135791072582154e-06,
+      "loss": 0.7829,
+      "step": 20304
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.135008378466975e-06,
+      "loss": 0.8501,
+      "step": 20305
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.134225810653713e-06,
+      "loss": 0.7701,
+      "step": 20306
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.133443369154924e-06,
+      "loss": 0.8215,
+      "step": 20307
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1326610539831795e-06,
+      "loss": 0.7522,
+      "step": 20308
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.131878865151038e-06,
+      "loss": 0.7219,
+      "step": 20309
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.131096802671062e-06,
+      "loss": 0.7945,
+      "step": 20310
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1303148665558125e-06,
+      "loss": 0.8275,
+      "step": 20311
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1295330568178465e-06,
+      "loss": 0.6361,
+      "step": 20312
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1287513734697153e-06,
+      "loss": 0.6781,
+      "step": 20313
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1279698165239737e-06,
+      "loss": 0.8503,
+      "step": 20314
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.127188385993172e-06,
+      "loss": 0.8132,
+      "step": 20315
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.126407081889863e-06,
+      "loss": 0.6908,
+      "step": 20316
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.125625904226587e-06,
+      "loss": 0.8699,
+      "step": 20317
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.124844853015895e-06,
+      "loss": 0.7311,
+      "step": 20318
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1240639282703235e-06,
+      "loss": 0.7584,
+      "step": 20319
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.123283130002416e-06,
+      "loss": 0.7803,
+      "step": 20320
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1225024582247113e-06,
+      "loss": 0.7776,
+      "step": 20321
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.121721912949749e-06,
+      "loss": 0.8077,
+      "step": 20322
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1209414941900584e-06,
+      "loss": 0.7211,
+      "step": 20323
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.120161201958174e-06,
+      "loss": 0.7848,
+      "step": 20324
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.11938103626663e-06,
+      "loss": 0.6482,
+      "step": 20325
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1186009971279486e-06,
+      "loss": 0.7185,
+      "step": 20326
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.117821084554659e-06,
+      "loss": 0.6584,
+      "step": 20327
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.117041298559286e-06,
+      "loss": 0.7793,
+      "step": 20328
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1162616391543546e-06,
+      "loss": 0.8496,
+      "step": 20329
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.115482106352379e-06,
+      "loss": 0.7887,
+      "step": 20330
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1147027001658816e-06,
+      "loss": 0.6537,
+      "step": 20331
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1139234206073777e-06,
+      "loss": 0.7814,
+      "step": 20332
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1131442676893843e-06,
+      "loss": 0.7618,
+      "step": 20333
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1123652414244087e-06,
+      "loss": 0.6785,
+      "step": 20334
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.111586341824967e-06,
+      "loss": 0.8468,
+      "step": 20335
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.110807568903561e-06,
+      "loss": 0.7491,
+      "step": 20336
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.110028922672699e-06,
+      "loss": 0.8387,
+      "step": 20337
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1092504031448867e-06,
+      "loss": 0.8269,
+      "step": 20338
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1084720103326274e-06,
+      "loss": 0.6665,
+      "step": 20339
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1076937442484156e-06,
+      "loss": 0.791,
+      "step": 20340
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1069156049047535e-06,
+      "loss": 0.6792,
+      "step": 20341
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.106137592314137e-06,
+      "loss": 0.6617,
+      "step": 20342
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1053597064890607e-06,
+      "loss": 0.7122,
+      "step": 20343
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1045819474420127e-06,
+      "loss": 0.6957,
+      "step": 20344
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.103804315185488e-06,
+      "loss": 0.7665,
+      "step": 20345
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.103026809731965e-06,
+      "loss": 0.8098,
+      "step": 20346
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.102249431093942e-06,
+      "loss": 0.7466,
+      "step": 20347
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.101472179283894e-06,
+      "loss": 0.5658,
+      "step": 20348
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.100695054314309e-06,
+      "loss": 0.7106,
+      "step": 20349
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.099918056197657e-06,
+      "loss": 0.6885,
+      "step": 20350
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.099141184946427e-06,
+      "loss": 0.7523,
+      "step": 20351
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0983644405730863e-06,
+      "loss": 0.7852,
+      "step": 20352
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0975878230901146e-06,
+      "loss": 0.8533,
+      "step": 20353
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.096811332509975e-06,
+      "loss": 0.6459,
+      "step": 20354
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0960349688451463e-06,
+      "loss": 0.8576,
+      "step": 20355
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0952587321080898e-06,
+      "loss": 0.715,
+      "step": 20356
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0944826223112756e-06,
+      "loss": 0.7155,
+      "step": 20357
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0937066394671624e-06,
+      "loss": 0.8406,
+      "step": 20358
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0929307835882117e-06,
+      "loss": 0.7775,
+      "step": 20359
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0921550546868864e-06,
+      "loss": 0.8383,
+      "step": 20360
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0913794527756425e-06,
+      "loss": 0.8104,
+      "step": 20361
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.090603977866934e-06,
+      "loss": 0.7577,
+      "step": 20362
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0898286299732128e-06,
+      "loss": 0.7505,
+      "step": 20363
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0890534091069327e-06,
+      "loss": 0.6732,
+      "step": 20364
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0882783152805443e-06,
+      "loss": 0.8457,
+      "step": 20365
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.08750334850649e-06,
+      "loss": 0.7125,
+      "step": 20366
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.086728508797219e-06,
+      "loss": 0.6516,
+      "step": 20367
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.08595379616517e-06,
+      "loss": 0.7508,
+      "step": 20368
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.085179210622786e-06,
+      "loss": 0.697,
+      "step": 20369
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.084404752182506e-06,
+      "loss": 0.6734,
+      "step": 20370
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0836304208567705e-06,
+      "loss": 0.7993,
+      "step": 20371
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.082856216658007e-06,
+      "loss": 0.7382,
+      "step": 20372
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.082082139598651e-06,
+      "loss": 0.9147,
+      "step": 20373
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.081308189691138e-06,
+      "loss": 0.7167,
+      "step": 20374
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0805343669478906e-06,
+      "loss": 0.535,
+      "step": 20375
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.079760671381337e-06,
+      "loss": 0.6963,
+      "step": 20376
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.078987103003902e-06,
+      "loss": 0.8585,
+      "step": 20377
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0782136618280126e-06,
+      "loss": 0.7077,
+      "step": 20378
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0774403478660807e-06,
+      "loss": 0.769,
+      "step": 20379
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0766671611305334e-06,
+      "loss": 0.7361,
+      "step": 20380
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0758941016337776e-06,
+      "loss": 0.7489,
+      "step": 20381
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.075121169388238e-06,
+      "loss": 0.7113,
+      "step": 20382
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.074348364406319e-06,
+      "loss": 0.7825,
+      "step": 20383
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0735756867004366e-06,
+      "loss": 0.7373,
+      "step": 20384
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0728031362829935e-06,
+      "loss": 0.6502,
+      "step": 20385
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0720307131663998e-06,
+      "loss": 0.6681,
+      "step": 20386
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.071258417363058e-06,
+      "loss": 0.7798,
+      "step": 20387
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0704862488853726e-06,
+      "loss": 0.8683,
+      "step": 20388
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.06971420774574e-06,
+      "loss": 0.7467,
+      "step": 20389
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0689422939565596e-06,
+      "loss": 0.8461,
+      "step": 20390
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0681705075302284e-06,
+      "loss": 0.7669,
+      "step": 20391
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.067398848479142e-06,
+      "loss": 0.7996,
+      "step": 20392
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.066627316815687e-06,
+      "loss": 0.8451,
+      "step": 20393
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0658559125522593e-06,
+      "loss": 0.8069,
+      "step": 20394
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0650846357012376e-06,
+      "loss": 0.8284,
+      "step": 20395
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.064313486275019e-06,
+      "loss": 0.8393,
+      "step": 20396
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0635424642859805e-06,
+      "loss": 0.6845,
+      "step": 20397
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0627715697465067e-06,
+      "loss": 0.6883,
+      "step": 20398
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.062000802668971e-06,
+      "loss": 0.6478,
+      "step": 20399
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0612301630657595e-06,
+      "loss": 0.8438,
+      "step": 20400
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0604596509492427e-06,
+      "loss": 0.6369,
+      "step": 20401
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.059689266331797e-06,
+      "loss": 0.7721,
+      "step": 20402
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0589190092257895e-06,
+      "loss": 0.6954,
+      "step": 20403
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.058148879643591e-06,
+      "loss": 0.5,
+      "step": 20404
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.057378877597571e-06,
+      "loss": 0.7673,
+      "step": 20405
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0566090031000952e-06,
+      "loss": 0.7807,
+      "step": 20406
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.055839256163523e-06,
+      "loss": 0.7922,
+      "step": 20407
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.055069636800218e-06,
+      "loss": 0.6051,
+      "step": 20408
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0543001450225387e-06,
+      "loss": 0.7647,
+      "step": 20409
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0535307808428462e-06,
+      "loss": 0.6492,
+      "step": 20410
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.052761544273488e-06,
+      "loss": 0.8624,
+      "step": 20411
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0519924353268215e-06,
+      "loss": 0.6869,
+      "step": 20412
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0512234540151997e-06,
+      "loss": 0.7186,
+      "step": 20413
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.050454600350966e-06,
+      "loss": 0.908,
+      "step": 20414
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0496858743464698e-06,
+      "loss": 0.6815,
+      "step": 20415
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0489172760140594e-06,
+      "loss": 0.7846,
+      "step": 20416
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0481488053660714e-06,
+      "loss": 0.9278,
+      "step": 20417
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0473804624148498e-06,
+      "loss": 0.7234,
+      "step": 20418
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0466122471727347e-06,
+      "loss": 0.8945,
+      "step": 20419
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0458441596520584e-06,
+      "loss": 0.754,
+      "step": 20420
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.045076199865158e-06,
+      "loss": 0.8858,
+      "step": 20421
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.044308367824366e-06,
+      "loss": 0.7261,
+      "step": 20422
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.043540663542014e-06,
+      "loss": 0.8853,
+      "step": 20423
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0427730870304276e-06,
+      "loss": 0.8246,
+      "step": 20424
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.042005638301937e-06,
+      "loss": 0.8441,
+      "step": 20425
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.041238317368858e-06,
+      "loss": 0.8294,
+      "step": 20426
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0404711242435237e-06,
+      "loss": 0.7321,
+      "step": 20427
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0397040589382476e-06,
+      "loss": 0.7628,
+      "step": 20428
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.038937121465352e-06,
+      "loss": 0.7186,
+      "step": 20429
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0381703118371445e-06,
+      "loss": 0.6498,
+      "step": 20430
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0374036300659504e-06,
+      "loss": 0.8391,
+      "step": 20431
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.036637076164074e-06,
+      "loss": 0.8574,
+      "step": 20432
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0358706501438308e-06,
+      "loss": 0.7477,
+      "step": 20433
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0351043520175216e-06,
+      "loss": 0.7078,
+      "step": 20434
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0343381817974574e-06,
+      "loss": 0.7022,
+      "step": 20435
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0335721394959396e-06,
+      "loss": 0.6789,
+      "step": 20436
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0328062251252735e-06,
+      "loss": 0.8023,
+      "step": 20437
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.032040438697752e-06,
+      "loss": 0.6818,
+      "step": 20438
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0312747802256783e-06,
+      "loss": 0.7357,
+      "step": 20439
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0305092497213454e-06,
+      "loss": 0.7223,
+      "step": 20440
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.029743847197051e-06,
+      "loss": 0.6093,
+      "step": 20441
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0289785726650803e-06,
+      "loss": 0.8993,
+      "step": 20442
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0282134261377273e-06,
+      "loss": 0.6247,
+      "step": 20443
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0274484076272726e-06,
+      "loss": 0.7519,
+      "step": 20444
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.026683517146012e-06,
+      "loss": 0.8305,
+      "step": 20445
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0259187547062197e-06,
+      "loss": 0.8312,
+      "step": 20446
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.025154120320184e-06,
+      "loss": 0.7671,
+      "step": 20447
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.024389614000174e-06,
+      "loss": 0.7246,
+      "step": 20448
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0236252357584775e-06,
+      "loss": 0.8457,
+      "step": 20449
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0228609856073633e-06,
+      "loss": 0.7153,
+      "step": 20450
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0220968635591076e-06,
+      "loss": 0.7336,
+      "step": 20451
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.021332869625977e-06,
+      "loss": 0.646,
+      "step": 20452
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.020569003820242e-06,
+      "loss": 0.6804,
+      "step": 20453
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.019805266154171e-06,
+      "loss": 0.7666,
+      "step": 20454
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0190416566400295e-06,
+      "loss": 0.7841,
+      "step": 20455
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.018278175290076e-06,
+      "loss": 0.7849,
+      "step": 20456
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.017514822116574e-06,
+      "loss": 0.9228,
+      "step": 20457
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.016751597131783e-06,
+      "loss": 0.7206,
+      "step": 20458
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.015988500347956e-06,
+      "loss": 0.7137,
+      "step": 20459
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0152255317773486e-06,
+      "loss": 0.7263,
+      "step": 20460
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.014462691432216e-06,
+      "loss": 0.7689,
+      "step": 20461
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.013699979324805e-06,
+      "loss": 0.7686,
+      "step": 20462
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0129373954673636e-06,
+      "loss": 0.7585,
+      "step": 20463
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.012174939872142e-06,
+      "loss": 0.6579,
+      "step": 20464
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.011412612551379e-06,
+      "loss": 0.8198,
+      "step": 20465
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0106504135173187e-06,
+      "loss": 0.8114,
+      "step": 20466
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0098883427822026e-06,
+      "loss": 0.8811,
+      "step": 20467
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.00912640035827e-06,
+      "loss": 0.6824,
+      "step": 20468
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0083645862577515e-06,
+      "loss": 0.7443,
+      "step": 20469
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0076029004928834e-06,
+      "loss": 0.6539,
+      "step": 20470
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.006841343075898e-06,
+      "loss": 0.6494,
+      "step": 20471
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.006079914019027e-06,
+      "loss": 0.8144,
+      "step": 20472
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0053186133344926e-06,
+      "loss": 0.8421,
+      "step": 20473
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.004557441034527e-06,
+      "loss": 0.7354,
+      "step": 20474
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0037963971313445e-06,
+      "loss": 0.7458,
+      "step": 20475
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0030354816371767e-06,
+      "loss": 0.6339,
+      "step": 20476
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.002274694564236e-06,
+      "loss": 0.7893,
+      "step": 20477
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0015140359247453e-06,
+      "loss": 0.663,
+      "step": 20478
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.00075350573091e-06,
+      "loss": 0.7448,
+      "step": 20479
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9999931039949562e-06,
+      "loss": 0.7654,
+      "step": 20480
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9992328307290854e-06,
+      "loss": 0.665,
+      "step": 20481
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9984726859455127e-06,
+      "loss": 0.7803,
+      "step": 20482
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9977126696564387e-06,
+      "loss": 0.7934,
+      "step": 20483
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.996952781874073e-06,
+      "loss": 0.7734,
+      "step": 20484
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9961930226106162e-06,
+      "loss": 0.6567,
+      "step": 20485
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9954333918782733e-06,
+      "loss": 0.8659,
+      "step": 20486
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.994673889689237e-06,
+      "loss": 0.8449,
+      "step": 20487
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.993914516055707e-06,
+      "loss": 0.7554,
+      "step": 20488
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9931552709898783e-06,
+      "loss": 0.8076,
+      "step": 20489
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.992396154503945e-06,
+      "loss": 0.7855,
+      "step": 20490
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.991637166610092e-06,
+      "loss": 0.7451,
+      "step": 20491
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.990878307320514e-06,
+      "loss": 0.7984,
+      "step": 20492
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9901195766473903e-06,
+      "loss": 0.7926,
+      "step": 20493
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.989360974602913e-06,
+      "loss": 0.8213,
+      "step": 20494
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.988602501199258e-06,
+      "loss": 0.741,
+      "step": 20495
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.987844156448612e-06,
+      "loss": 0.8156,
+      "step": 20496
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.987085940363145e-06,
+      "loss": 0.8398,
+      "step": 20497
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.986327852955038e-06,
+      "loss": 0.6119,
+      "step": 20498
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.985569894236463e-06,
+      "loss": 0.6644,
+      "step": 20499
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.984812064219597e-06,
+      "loss": 0.7194,
+      "step": 20500
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.984054362916602e-06,
+      "loss": 0.7675,
+      "step": 20501
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9832967903396493e-06,
+      "loss": 0.7705,
+      "step": 20502
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9825393465009068e-06,
+      "loss": 0.6997,
+      "step": 20503
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9817820314125346e-06,
+      "loss": 0.7133,
+      "step": 20504
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9810248450866955e-06,
+      "loss": 0.6882,
+      "step": 20505
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.980267787535548e-06,
+      "loss": 0.6928,
+      "step": 20506
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.979510858771254e-06,
+      "loss": 0.7188,
+      "step": 20507
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9787540588059616e-06,
+      "loss": 0.7453,
+      "step": 20508
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.977997387651832e-06,
+      "loss": 0.8358,
+      "step": 20509
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.977240845321009e-06,
+      "loss": 0.7879,
+      "step": 20510
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.976484431825645e-06,
+      "loss": 0.7754,
+      "step": 20511
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.975728147177887e-06,
+      "loss": 0.698,
+      "step": 20512
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9749719913898824e-06,
+      "loss": 0.8747,
+      "step": 20513
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9742159644737692e-06,
+      "loss": 0.7359,
+      "step": 20514
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9734600664416904e-06,
+      "loss": 0.7721,
+      "step": 20515
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9727042973057852e-06,
+      "loss": 0.6501,
+      "step": 20516
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9719486570781933e-06,
+      "loss": 0.7932,
+      "step": 20517
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.971193145771043e-06,
+      "loss": 0.7619,
+      "step": 20518
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9704377633964734e-06,
+      "loss": 0.7117,
+      "step": 20519
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.969682509966606e-06,
+      "loss": 0.8193,
+      "step": 20520
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.968927385493581e-06,
+      "loss": 0.6667,
+      "step": 20521
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9681723899895142e-06,
+      "loss": 0.6959,
+      "step": 20522
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9674175234665395e-06,
+      "loss": 0.7057,
+      "step": 20523
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.966662785936767e-06,
+      "loss": 0.5814,
+      "step": 20524
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.965908177412329e-06,
+      "loss": 0.8896,
+      "step": 20525
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9651536979053367e-06,
+      "loss": 0.7247,
+      "step": 20526
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.96439934742791e-06,
+      "loss": 0.7032,
+      "step": 20527
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9636451259921553e-06,
+      "loss": 0.7775,
+      "step": 20528
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9628910336101948e-06,
+      "loss": 0.8188,
+      "step": 20529
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.962137070294131e-06,
+      "loss": 0.8572,
+      "step": 20530
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.961383236056077e-06,
+      "loss": 0.8046,
+      "step": 20531
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9606295309081312e-06,
+      "loss": 0.7443,
+      "step": 20532
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9598759548624027e-06,
+      "loss": 0.6602,
+      "step": 20533
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9591225079309905e-06,
+      "loss": 0.7415,
+      "step": 20534
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9583691901259983e-06,
+      "loss": 0.6823,
+      "step": 20535
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.957616001459517e-06,
+      "loss": 0.7859,
+      "step": 20536
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.956862941943646e-06,
+      "loss": 0.6781,
+      "step": 20537
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.956110011590476e-06,
+      "loss": 0.7248,
+      "step": 20538
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9553572104121043e-06,
+      "loss": 0.7577,
+      "step": 20539
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.954604538420611e-06,
+      "loss": 0.6717,
+      "step": 20540
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.953851995628091e-06,
+      "loss": 0.8331,
+      "step": 20541
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9530995820466223e-06,
+      "loss": 0.8252,
+      "step": 20542
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.952347297688291e-06,
+      "loss": 0.7633,
+      "step": 20543
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.951595142565178e-06,
+      "loss": 0.8614,
+      "step": 20544
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9508431166893647e-06,
+      "loss": 0.852,
+      "step": 20545
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9500912200729216e-06,
+      "loss": 0.7552,
+      "step": 20546
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9493394527279262e-06,
+      "loss": 0.7024,
+      "step": 20547
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.948587814666455e-06,
+      "loss": 0.7851,
+      "step": 20548
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.947836305900571e-06,
+      "loss": 0.7547,
+      "step": 20549
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9470849264423466e-06,
+      "loss": 0.9211,
+      "step": 20550
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9463336763038465e-06,
+      "loss": 0.622,
+      "step": 20551
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9455825554971384e-06,
+      "loss": 0.7286,
+      "step": 20552
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9448315640342796e-06,
+      "loss": 0.6318,
+      "step": 20553
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9440807019273346e-06,
+      "loss": 0.7733,
+      "step": 20554
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9433299691883546e-06,
+      "loss": 0.6811,
+      "step": 20555
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9425793658294035e-06,
+      "loss": 0.85,
+      "step": 20556
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9418288918625295e-06,
+      "loss": 0.7309,
+      "step": 20557
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9410785472997884e-06,
+      "loss": 0.8062,
+      "step": 20558
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.940328332153225e-06,
+      "loss": 0.6947,
+      "step": 20559
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.939578246434889e-06,
+      "loss": 0.8441,
+      "step": 20560
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9388282901568268e-06,
+      "loss": 0.8156,
+      "step": 20561
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9380784633310823e-06,
+      "loss": 0.7247,
+      "step": 20562
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9373287659696936e-06,
+      "loss": 0.6568,
+      "step": 20563
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.936579198084703e-06,
+      "loss": 0.8646,
+      "step": 20564
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9358297596881446e-06,
+      "loss": 0.8728,
+      "step": 20565
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9350804507920583e-06,
+      "loss": 0.8806,
+      "step": 20566
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9343312714084718e-06,
+      "loss": 0.738,
+      "step": 20567
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9335822215494213e-06,
+      "loss": 0.6951,
+      "step": 20568
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9328333012269264e-06,
+      "loss": 0.6204,
+      "step": 20569
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9320845104530263e-06,
+      "loss": 0.7331,
+      "step": 20570
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.931335849239736e-06,
+      "loss": 0.7426,
+      "step": 20571
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.930587317599084e-06,
+      "loss": 0.7302,
+      "step": 20572
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.929838915543083e-06,
+      "loss": 0.9115,
+      "step": 20573
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.929090643083761e-06,
+      "loss": 0.7472,
+      "step": 20574
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.928342500233128e-06,
+      "loss": 0.6767,
+      "step": 20575
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9275944870032026e-06,
+      "loss": 0.7231,
+      "step": 20576
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.926846603405992e-06,
+      "loss": 0.6459,
+      "step": 20577
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9260988494535082e-06,
+      "loss": 0.798,
+      "step": 20578
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.92535122515776e-06,
+      "loss": 0.9455,
+      "step": 20579
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9246037305307563e-06,
+      "loss": 0.7227,
+      "step": 20580
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9238563655844946e-06,
+      "loss": 0.7994,
+      "step": 20581
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.923109130330979e-06,
+      "loss": 0.8826,
+      "step": 20582
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9223620247822107e-06,
+      "loss": 0.792,
+      "step": 20583
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9216150489501883e-06,
+      "loss": 0.7415,
+      "step": 20584
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.920868202846904e-06,
+      "loss": 0.8275,
+      "step": 20585
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.920121486484352e-06,
+      "loss": 0.6121,
+      "step": 20586
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9193748998745267e-06,
+      "loss": 0.7899,
+      "step": 20587
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.918628443029412e-06,
+      "loss": 0.8535,
+      "step": 20588
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.917882115960998e-06,
+      "loss": 0.731,
+      "step": 20589
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.917135918681273e-06,
+      "loss": 0.6659,
+      "step": 20590
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.916389851202214e-06,
+      "loss": 0.7197,
+      "step": 20591
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.915643913535805e-06,
+      "loss": 0.7611,
+      "step": 20592
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9148981056940265e-06,
+      "loss": 0.7642,
+      "step": 20593
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9141524276888514e-06,
+      "loss": 0.8152,
+      "step": 20594
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9134068795322546e-06,
+      "loss": 0.7306,
+      "step": 20595
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9126614612362114e-06,
+      "loss": 0.7101,
+      "step": 20596
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9119161728126935e-06,
+      "loss": 0.8145,
+      "step": 20597
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.911171014273665e-06,
+      "loss": 0.9038,
+      "step": 20598
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.910425985631096e-06,
+      "loss": 0.7104,
+      "step": 20599
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.909681086896944e-06,
+      "loss": 0.7436,
+      "step": 20600
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9089363180831798e-06,
+      "loss": 0.9504,
+      "step": 20601
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9081916792017584e-06,
+      "loss": 0.6314,
+      "step": 20602
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9074471702646423e-06,
+      "loss": 0.8634,
+      "step": 20603
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9067027912837776e-06,
+      "loss": 0.7651,
+      "step": 20604
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9059585422711302e-06,
+      "loss": 0.7101,
+      "step": 20605
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9052144232386438e-06,
+      "loss": 0.6107,
+      "step": 20606
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9044704341982733e-06,
+      "loss": 0.7844,
+      "step": 20607
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9037265751619606e-06,
+      "loss": 0.6933,
+      "step": 20608
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9029828461416532e-06,
+      "loss": 0.7485,
+      "step": 20609
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9022392471492956e-06,
+      "loss": 0.8269,
+      "step": 20610
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9014957781968313e-06,
+      "loss": 0.6874,
+      "step": 20611
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9007524392961941e-06,
+      "loss": 0.7176,
+      "step": 20612
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9000092304593242e-06,
+      "loss": 0.7535,
+      "step": 20613
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8992661516981558e-06,
+      "loss": 0.8463,
+      "step": 20614
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8985232030246248e-06,
+      "loss": 0.7479,
+      "step": 20615
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.897780384450657e-06,
+      "loss": 0.6456,
+      "step": 20616
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8970376959881864e-06,
+      "loss": 0.8955,
+      "step": 20617
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.896295137649131e-06,
+      "loss": 0.777,
+      "step": 20618
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8955527094454262e-06,
+      "loss": 0.6636,
+      "step": 20619
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8948104113889876e-06,
+      "loss": 0.7388,
+      "step": 20620
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8940682434917402e-06,
+      "loss": 0.8279,
+      "step": 20621
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8933262057655933e-06,
+      "loss": 0.7734,
+      "step": 20622
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8925842982224752e-06,
+      "loss": 0.6403,
+      "step": 20623
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8918425208742919e-06,
+      "loss": 0.8451,
+      "step": 20624
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8911008737329595e-06,
+      "loss": 0.7858,
+      "step": 20625
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.890359356810384e-06,
+      "loss": 0.7015,
+      "step": 20626
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8896179701184748e-06,
+      "loss": 0.787,
+      "step": 20627
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8888767136691378e-06,
+      "loss": 0.7218,
+      "step": 20628
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8881355874742802e-06,
+      "loss": 0.6932,
+      "step": 20629
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.887394591545798e-06,
+      "loss": 0.8294,
+      "step": 20630
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.886653725895592e-06,
+      "loss": 0.8153,
+      "step": 20631
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8859129905355645e-06,
+      "loss": 0.8784,
+      "step": 20632
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8851723854776028e-06,
+      "loss": 0.7464,
+      "step": 20633
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8844319107336051e-06,
+      "loss": 0.668,
+      "step": 20634
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8836915663154643e-06,
+      "loss": 0.8212,
+      "step": 20635
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8829513522350628e-06,
+      "loss": 0.7693,
+      "step": 20636
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8822112685042927e-06,
+      "loss": 0.69,
+      "step": 20637
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8814713151350373e-06,
+      "loss": 0.93,
+      "step": 20638
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8807314921391816e-06,
+      "loss": 0.7122,
+      "step": 20639
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.879991799528601e-06,
+      "loss": 0.7089,
+      "step": 20640
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8792522373151778e-06,
+      "loss": 0.6988,
+      "step": 20641
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8785128055107904e-06,
+      "loss": 0.7028,
+      "step": 20642
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8777735041273083e-06,
+      "loss": 0.787,
+      "step": 20643
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.877034333176606e-06,
+      "loss": 0.7242,
+      "step": 20644
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8762952926705536e-06,
+      "loss": 0.7584,
+      "step": 20645
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.875556382621021e-06,
+      "loss": 0.7925,
+      "step": 20646
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.87481760303987e-06,
+      "loss": 0.7238,
+      "step": 20647
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8740789539389703e-06,
+      "loss": 0.6879,
+      "step": 20648
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8733404353301742e-06,
+      "loss": 0.7051,
+      "step": 20649
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8726020472253537e-06,
+      "loss": 0.704,
+      "step": 20650
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8718637896363567e-06,
+      "loss": 0.594,
+      "step": 20651
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.871125662575045e-06,
+      "loss": 0.6951,
+      "step": 20652
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8703876660532638e-06,
+      "loss": 0.705,
+      "step": 20653
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8696498000828744e-06,
+      "loss": 0.7488,
+      "step": 20654
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8689120646757196e-06,
+      "loss": 0.7398,
+      "step": 20655
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8681744598436503e-06,
+      "loss": 0.7266,
+      "step": 20656
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8674369855985064e-06,
+      "loss": 0.8141,
+      "step": 20657
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8666996419521344e-06,
+      "loss": 0.8057,
+      "step": 20658
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8659624289163748e-06,
+      "loss": 0.8226,
+      "step": 20659
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.865225346503069e-06,
+      "loss": 0.7476,
+      "step": 20660
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8644883947240467e-06,
+      "loss": 0.6036,
+      "step": 20661
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.863751573591147e-06,
+      "loss": 0.778,
+      "step": 20662
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.863014883116202e-06,
+      "loss": 0.7731,
+      "step": 20663
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8622783233110453e-06,
+      "loss": 0.9446,
+      "step": 20664
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8615418941874973e-06,
+      "loss": 0.597,
+      "step": 20665
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8608055957573922e-06,
+      "loss": 0.6831,
+      "step": 20666
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.860069428032545e-06,
+      "loss": 0.8201,
+      "step": 20667
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8593333910247868e-06,
+      "loss": 0.8102,
+      "step": 20668
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.858597484745932e-06,
+      "loss": 0.7147,
+      "step": 20669
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8578617092078021e-06,
+      "loss": 0.595,
+      "step": 20670
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8571260644222056e-06,
+      "loss": 0.7424,
+      "step": 20671
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.856390550400966e-06,
+      "loss": 0.7647,
+      "step": 20672
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8556551671558864e-06,
+      "loss": 0.7086,
+      "step": 20673
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8549199146987827e-06,
+      "loss": 0.6758,
+      "step": 20674
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8541847930414559e-06,
+      "loss": 0.8211,
+      "step": 20675
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8534498021957147e-06,
+      "loss": 0.8129,
+      "step": 20676
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8527149421733604e-06,
+      "loss": 0.4728,
+      "step": 20677
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8519802129861986e-06,
+      "loss": 0.7811,
+      "step": 20678
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.851245614646021e-06,
+      "loss": 0.7855,
+      "step": 20679
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8505111471646287e-06,
+      "loss": 0.7936,
+      "step": 20680
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8497768105538183e-06,
+      "loss": 0.695,
+      "step": 20681
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8490426048253762e-06,
+      "loss": 0.8773,
+      "step": 20682
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8483085299910964e-06,
+      "loss": 0.7685,
+      "step": 20683
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8475745860627692e-06,
+      "loss": 0.5785,
+      "step": 20684
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8468407730521764e-06,
+      "loss": 0.818,
+      "step": 20685
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8461070909711043e-06,
+      "loss": 0.6841,
+      "step": 20686
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8453735398313376e-06,
+      "loss": 0.7748,
+      "step": 20687
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8446401196446506e-06,
+      "loss": 0.6569,
+      "step": 20688
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8439068304228247e-06,
+      "loss": 0.6058,
+      "step": 20689
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8431736721776338e-06,
+      "loss": 0.7048,
+      "step": 20690
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8424406449208565e-06,
+      "loss": 0.7688,
+      "step": 20691
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8417077486642564e-06,
+      "loss": 0.7656,
+      "step": 20692
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.840974983419611e-06,
+      "loss": 0.7542,
+      "step": 20693
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8402423491986777e-06,
+      "loss": 0.6483,
+      "step": 20694
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8395098460132322e-06,
+      "loss": 0.698,
+      "step": 20695
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8387774738750308e-06,
+      "loss": 0.7471,
+      "step": 20696
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8380452327958397e-06,
+      "loss": 0.8821,
+      "step": 20697
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8373131227874085e-06,
+      "loss": 0.6611,
+      "step": 20698
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8365811438615066e-06,
+      "loss": 0.8736,
+      "step": 20699
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.835849296029879e-06,
+      "loss": 0.7449,
+      "step": 20700
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.835117579304283e-06,
+      "loss": 0.8989,
+      "step": 20701
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8343859936964636e-06,
+      "loss": 0.7608,
+      "step": 20702
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8336545392181782e-06,
+      "loss": 0.7988,
+      "step": 20703
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8329232158811649e-06,
+      "loss": 0.6074,
+      "step": 20704
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8321920236971735e-06,
+      "loss": 0.8214,
+      "step": 20705
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.83146096267794e-06,
+      "loss": 0.7494,
+      "step": 20706
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8307300328352084e-06,
+      "loss": 0.6886,
+      "step": 20707
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.829999234180716e-06,
+      "loss": 0.6295,
+      "step": 20708
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.829268566726201e-06,
+      "loss": 0.8261,
+      "step": 20709
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8285380304833912e-06,
+      "loss": 0.7995,
+      "step": 20710
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.827807625464022e-06,
+      "loss": 0.8954,
+      "step": 20711
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8270773516798212e-06,
+      "loss": 0.8235,
+      "step": 20712
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8263472091425195e-06,
+      "loss": 0.8762,
+      "step": 20713
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.825617197863837e-06,
+      "loss": 0.8009,
+      "step": 20714
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8248873178555026e-06,
+      "loss": 0.6864,
+      "step": 20715
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.824157569129228e-06,
+      "loss": 0.7761,
+      "step": 20716
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8234279516967435e-06,
+      "loss": 0.7428,
+      "step": 20717
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8226984655697567e-06,
+      "loss": 0.7313,
+      "step": 20718
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8219691107599891e-06,
+      "loss": 0.8357,
+      "step": 20719
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.821239887279147e-06,
+      "loss": 0.6768,
+      "step": 20720
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8205107951389444e-06,
+      "loss": 0.7973,
+      "step": 20721
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8197818343510887e-06,
+      "loss": 0.6192,
+      "step": 20722
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8190530049272892e-06,
+      "loss": 0.7389,
+      "step": 20723
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8183243068792444e-06,
+      "loss": 0.8255,
+      "step": 20724
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8175957402186584e-06,
+      "loss": 0.8607,
+      "step": 20725
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.816867304957235e-06,
+      "loss": 0.6328,
+      "step": 20726
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.816139001106665e-06,
+      "loss": 0.7372,
+      "step": 20727
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8154108286786486e-06,
+      "loss": 0.5484,
+      "step": 20728
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8146827876848783e-06,
+      "loss": 0.6233,
+      "step": 20729
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8139548781370486e-06,
+      "loss": 0.7426,
+      "step": 20730
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8132271000468427e-06,
+      "loss": 0.6978,
+      "step": 20731
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8124994534259532e-06,
+      "loss": 0.7384,
+      "step": 20732
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.811771938286061e-06,
+      "loss": 0.6284,
+      "step": 20733
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.811044554638851e-06,
+      "loss": 0.7812,
+      "step": 20734
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8103173024960042e-06,
+      "loss": 0.8299,
+      "step": 20735
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8095901818692018e-06,
+      "loss": 0.7484,
+      "step": 20736
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.808863192770116e-06,
+      "loss": 0.6423,
+      "step": 20737
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.808136335210422e-06,
+      "loss": 0.6796,
+      "step": 20738
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8074096092017944e-06,
+      "loss": 0.8843,
+      "step": 20739
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8066830147559045e-06,
+      "loss": 0.7782,
+      "step": 20740
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.805956551884417e-06,
+      "loss": 0.7973,
+      "step": 20741
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8052302205990014e-06,
+      "loss": 0.8385,
+      "step": 20742
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.804504020911314e-06,
+      "loss": 0.8004,
+      "step": 20743
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.803777952833029e-06,
+      "loss": 0.639,
+      "step": 20744
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8030520163757959e-06,
+      "loss": 0.8236,
+      "step": 20745
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8023262115512795e-06,
+      "loss": 0.717,
+      "step": 20746
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8016005383711265e-06,
+      "loss": 0.6791,
+      "step": 20747
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8008749968470007e-06,
+      "loss": 0.6541,
+      "step": 20748
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.800149586990545e-06,
+      "loss": 0.8386,
+      "step": 20749
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7994243088134157e-06,
+      "loss": 0.781,
+      "step": 20750
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7986991623272533e-06,
+      "loss": 0.6807,
+      "step": 20751
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.797974147543705e-06,
+      "loss": 0.6739,
+      "step": 20752
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7972492644744154e-06,
+      "loss": 0.7437,
+      "step": 20753
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.796524513131025e-06,
+      "loss": 0.7313,
+      "step": 20754
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7957998935251697e-06,
+      "loss": 0.8583,
+      "step": 20755
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7950754056684882e-06,
+      "loss": 0.7311,
+      "step": 20756
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7943510495726135e-06,
+      "loss": 0.6511,
+      "step": 20757
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7936268252491817e-06,
+      "loss": 0.7648,
+      "step": 20758
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.792902732709817e-06,
+      "loss": 0.8559,
+      "step": 20759
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7921787719661499e-06,
+      "loss": 0.8346,
+      "step": 20760
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7914549430298078e-06,
+      "loss": 0.7878,
+      "step": 20761
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7907312459124148e-06,
+      "loss": 0.7915,
+      "step": 20762
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7900076806255894e-06,
+      "loss": 0.6357,
+      "step": 20763
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7892842471809558e-06,
+      "loss": 0.7022,
+      "step": 20764
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7885609455901253e-06,
+      "loss": 0.9092,
+      "step": 20765
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.787837775864717e-06,
+      "loss": 0.753,
+      "step": 20766
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7871147380163445e-06,
+      "loss": 0.6197,
+      "step": 20767
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7863918320566186e-06,
+      "loss": 0.6932,
+      "step": 20768
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7856690579971458e-06,
+      "loss": 0.6799,
+      "step": 20769
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7849464158495355e-06,
+      "loss": 0.7306,
+      "step": 20770
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.784223905625394e-06,
+      "loss": 0.7468,
+      "step": 20771
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7835015273363188e-06,
+      "loss": 0.7228,
+      "step": 20772
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7827792809939137e-06,
+      "loss": 0.8066,
+      "step": 20773
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7820571666097764e-06,
+      "loss": 0.8098,
+      "step": 20774
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.781335184195505e-06,
+      "loss": 0.8501,
+      "step": 20775
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7806133337626908e-06,
+      "loss": 0.7081,
+      "step": 20776
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7798916153229284e-06,
+      "loss": 0.7511,
+      "step": 20777
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.779170028887801e-06,
+      "loss": 0.8632,
+      "step": 20778
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7784485744689083e-06,
+      "loss": 0.734,
+      "step": 20779
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7777272520778255e-06,
+      "loss": 0.7979,
+      "step": 20780
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.777006061726143e-06,
+      "loss": 0.6673,
+      "step": 20781
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7762850034254364e-06,
+      "loss": 0.7559,
+      "step": 20782
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7755640771872873e-06,
+      "loss": 0.7016,
+      "step": 20783
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7748432830232743e-06,
+      "loss": 0.8218,
+      "step": 20784
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7741226209449737e-06,
+      "loss": 0.82,
+      "step": 20785
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7734020909639538e-06,
+      "loss": 0.6929,
+      "step": 20786
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7726816930917878e-06,
+      "loss": 0.784,
+      "step": 20787
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7719614273400432e-06,
+      "loss": 0.7691,
+      "step": 20788
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7712412937202917e-06,
+      "loss": 0.8261,
+      "step": 20789
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7705212922440907e-06,
+      "loss": 0.7359,
+      "step": 20790
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7698014229230087e-06,
+      "loss": 0.7534,
+      "step": 20791
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7690816857685978e-06,
+      "loss": 0.829,
+      "step": 20792
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7683620807924251e-06,
+      "loss": 0.6818,
+      "step": 20793
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7676426080060404e-06,
+      "loss": 0.7902,
+      "step": 20794
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7669232674210025e-06,
+      "loss": 0.6717,
+      "step": 20795
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7662040590488562e-06,
+      "loss": 0.8183,
+      "step": 20796
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7654849829011588e-06,
+      "loss": 0.7367,
+      "step": 20797
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7647660389894517e-06,
+      "loss": 0.8162,
+      "step": 20798
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7640472273252861e-06,
+      "loss": 0.5648,
+      "step": 20799
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7633285479201988e-06,
+      "loss": 0.6129,
+      "step": 20800
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.762610000785734e-06,
+      "loss": 0.689,
+      "step": 20801
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7618915859334306e-06,
+      "loss": 0.7455,
+      "step": 20802
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.761173303374827e-06,
+      "loss": 0.8597,
+      "step": 20803
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7604551531214554e-06,
+      "loss": 0.6748,
+      "step": 20804
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.759737135184848e-06,
+      "loss": 0.7483,
+      "step": 20805
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7590192495765369e-06,
+      "loss": 0.7913,
+      "step": 20806
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7583014963080535e-06,
+      "loss": 0.818,
+      "step": 20807
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.757583875390917e-06,
+      "loss": 0.6396,
+      "step": 20808
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7568663868366586e-06,
+      "loss": 0.7417,
+      "step": 20809
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.756149030656793e-06,
+      "loss": 0.7727,
+      "step": 20810
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.755431806862845e-06,
+      "loss": 0.7746,
+      "step": 20811
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7547147154663313e-06,
+      "loss": 0.715,
+      "step": 20812
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.753997756478769e-06,
+      "loss": 0.8089,
+      "step": 20813
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.753280929911667e-06,
+      "loss": 0.8071,
+      "step": 20814
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7525642357765405e-06,
+      "loss": 0.855,
+      "step": 20815
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7518476740849e-06,
+      "loss": 0.7878,
+      "step": 20816
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7511312448482488e-06,
+      "loss": 0.7396,
+      "step": 20817
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7504149480780918e-06,
+      "loss": 0.6213,
+      "step": 20818
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7496987837859346e-06,
+      "loss": 0.788,
+      "step": 20819
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.748982751983278e-06,
+      "loss": 0.831,
+      "step": 20820
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7482668526816183e-06,
+      "loss": 0.7073,
+      "step": 20821
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.747551085892455e-06,
+      "loss": 0.9155,
+      "step": 20822
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7468354516272746e-06,
+      "loss": 0.8246,
+      "step": 20823
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.74611994989758e-06,
+      "loss": 0.8537,
+      "step": 20824
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7454045807148545e-06,
+      "loss": 0.6251,
+      "step": 20825
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.744689344090591e-06,
+      "loss": 0.7104,
+      "step": 20826
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7439742400362658e-06,
+      "loss": 0.7242,
+      "step": 20827
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7432592685633743e-06,
+      "loss": 0.768,
+      "step": 20828
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7425444296833904e-06,
+      "loss": 0.8174,
+      "step": 20829
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7418297234077986e-06,
+      "loss": 0.6978,
+      "step": 20830
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7411151497480704e-06,
+      "loss": 0.7962,
+      "step": 20831
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7404007087156839e-06,
+      "loss": 0.8089,
+      "step": 20832
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7396864003221125e-06,
+      "loss": 0.7649,
+      "step": 20833
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7389722245788287e-06,
+      "loss": 0.7312,
+      "step": 20834
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7382581814972977e-06,
+      "loss": 0.5728,
+      "step": 20835
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7375442710889868e-06,
+      "loss": 0.6843,
+      "step": 20836
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7368304933653624e-06,
+      "loss": 0.7976,
+      "step": 20837
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7361168483378877e-06,
+      "loss": 0.7923,
+      "step": 20838
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.735403336018019e-06,
+      "loss": 0.7006,
+      "step": 20839
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7346899564172193e-06,
+      "loss": 0.7205,
+      "step": 20840
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.733976709546936e-06,
+      "loss": 0.613,
+      "step": 20841
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.733263595418635e-06,
+      "loss": 0.7381,
+      "step": 20842
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7325506140437587e-06,
+      "loss": 0.6133,
+      "step": 20843
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7318377654337626e-06,
+      "loss": 0.7192,
+      "step": 20844
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7311250496000853e-06,
+      "loss": 0.7403,
+      "step": 20845
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7304124665541843e-06,
+      "loss": 0.7294,
+      "step": 20846
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.729700016307495e-06,
+      "loss": 0.722,
+      "step": 20847
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7289876988714615e-06,
+      "loss": 0.7895,
+      "step": 20848
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7282755142575191e-06,
+      "loss": 0.6592,
+      "step": 20849
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7275634624771066e-06,
+      "loss": 0.8087,
+      "step": 20850
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.72685154354166e-06,
+      "loss": 0.7235,
+      "step": 20851
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7261397574626125e-06,
+      "loss": 0.8564,
+      "step": 20852
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7254281042513898e-06,
+      "loss": 0.6343,
+      "step": 20853
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7247165839194234e-06,
+      "loss": 0.8028,
+      "step": 20854
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7240051964781424e-06,
+      "loss": 0.7787,
+      "step": 20855
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7232939419389648e-06,
+      "loss": 0.8562,
+      "step": 20856
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7225828203133143e-06,
+      "loss": 0.8178,
+      "step": 20857
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7218718316126149e-06,
+      "loss": 0.7879,
+      "step": 20858
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7211609758482784e-06,
+      "loss": 0.7014,
+      "step": 20859
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7204502530317224e-06,
+      "loss": 0.7988,
+      "step": 20860
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7197396631743634e-06,
+      "loss": 0.7681,
+      "step": 20861
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.719029206287607e-06,
+      "loss": 0.7278,
+      "step": 20862
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7183188823828644e-06,
+      "loss": 0.8106,
+      "step": 20863
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7176086914715428e-06,
+      "loss": 0.8842,
+      "step": 20864
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7168986335650506e-06,
+      "loss": 0.8333,
+      "step": 20865
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7161887086747842e-06,
+      "loss": 0.7325,
+      "step": 20866
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7154789168121488e-06,
+      "loss": 0.6074,
+      "step": 20867
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7147692579885366e-06,
+      "loss": 0.7443,
+      "step": 20868
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.714059732215353e-06,
+      "loss": 0.754,
+      "step": 20869
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7133503395039841e-06,
+      "loss": 0.742,
+      "step": 20870
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7126410798658288e-06,
+      "loss": 0.8913,
+      "step": 20871
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.711931953312267e-06,
+      "loss": 0.717,
+      "step": 20872
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7112229598546982e-06,
+      "loss": 0.7549,
+      "step": 20873
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.710514099504499e-06,
+      "loss": 0.7889,
+      "step": 20874
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.709805372273059e-06,
+      "loss": 0.783,
+      "step": 20875
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7090967781717516e-06,
+      "loss": 0.7926,
+      "step": 20876
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7083883172119665e-06,
+      "loss": 0.799,
+      "step": 20877
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.707679989405071e-06,
+      "loss": 0.715,
+      "step": 20878
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7069717947624475e-06,
+      "loss": 0.9093,
+      "step": 20879
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7062637332954634e-06,
+      "loss": 0.7318,
+      "step": 20880
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7055558050154896e-06,
+      "loss": 0.6177,
+      "step": 20881
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7048480099338972e-06,
+      "loss": 0.8005,
+      "step": 20882
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7041403480620534e-06,
+      "loss": 0.8069,
+      "step": 20883
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7034328194113181e-06,
+      "loss": 0.7409,
+      "step": 20884
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7027254239930547e-06,
+      "loss": 0.7952,
+      "step": 20885
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7020181618186248e-06,
+      "loss": 0.6369,
+      "step": 20886
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7013110328993875e-06,
+      "loss": 0.802,
+      "step": 20887
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7006040372466937e-06,
+      "loss": 0.7684,
+      "step": 20888
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6998971748719018e-06,
+      "loss": 0.651,
+      "step": 20889
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.699190445786355e-06,
+      "loss": 0.8861,
+      "step": 20890
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6984838500014145e-06,
+      "loss": 0.6583,
+      "step": 20891
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6977773875284176e-06,
+      "loss": 0.6923,
+      "step": 20892
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6970710583787153e-06,
+      "loss": 0.6669,
+      "step": 20893
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6963648625636454e-06,
+      "loss": 0.5927,
+      "step": 20894
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6956588000945507e-06,
+      "loss": 0.7804,
+      "step": 20895
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.694952870982769e-06,
+      "loss": 0.6429,
+      "step": 20896
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.69424707523964e-06,
+      "loss": 0.7677,
+      "step": 20897
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6935414128764939e-06,
+      "loss": 0.7423,
+      "step": 20898
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6928358839046633e-06,
+      "loss": 0.7757,
+      "step": 20899
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6921304883354817e-06,
+      "loss": 0.8271,
+      "step": 20900
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.691425226180271e-06,
+      "loss": 0.7617,
+      "step": 20901
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6907200974503601e-06,
+      "loss": 0.6817,
+      "step": 20902
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6900151021570732e-06,
+      "loss": 0.6528,
+      "step": 20903
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6893102403117322e-06,
+      "loss": 0.8146,
+      "step": 20904
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6886055119256529e-06,
+      "loss": 0.829,
+      "step": 20905
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6879009170101568e-06,
+      "loss": 0.8292,
+      "step": 20906
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.687196455576554e-06,
+      "loss": 0.6785,
+      "step": 20907
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.68649212763616e-06,
+      "loss": 0.6502,
+      "step": 20908
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6857879332002847e-06,
+      "loss": 0.7625,
+      "step": 20909
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6850838722802386e-06,
+      "loss": 0.8913,
+      "step": 20910
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6843799448873244e-06,
+      "loss": 0.7179,
+      "step": 20911
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.683676151032848e-06,
+      "loss": 0.7672,
+      "step": 20912
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.682972490728112e-06,
+      "loss": 0.8023,
+      "step": 20913
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.682268963984418e-06,
+      "loss": 0.6229,
+      "step": 20914
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6815655708130597e-06,
+      "loss": 0.7033,
+      "step": 20915
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6808623112253375e-06,
+      "loss": 0.8261,
+      "step": 20916
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6801591852325371e-06,
+      "loss": 0.7093,
+      "step": 20917
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6794561928459596e-06,
+      "loss": 0.7145,
+      "step": 20918
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.678753334076887e-06,
+      "loss": 0.6866,
+      "step": 20919
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6780506089366112e-06,
+      "loss": 0.6911,
+      "step": 20920
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6773480174364088e-06,
+      "loss": 0.8409,
+      "step": 20921
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6766455595875742e-06,
+      "loss": 0.6603,
+      "step": 20922
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6759432354013794e-06,
+      "loss": 0.7283,
+      "step": 20923
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6752410448891088e-06,
+      "loss": 0.8246,
+      "step": 20924
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6745389880620322e-06,
+      "loss": 0.7484,
+      "step": 20925
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6738370649314272e-06,
+      "loss": 0.72,
+      "step": 20926
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.673135275508566e-06,
+      "loss": 0.7304,
+      "step": 20927
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6724336198047208e-06,
+      "loss": 0.8137,
+      "step": 20928
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6717320978311535e-06,
+      "loss": 0.8706,
+      "step": 20929
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.671030709599133e-06,
+      "loss": 0.6315,
+      "step": 20930
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6703294551199222e-06,
+      "loss": 0.7721,
+      "step": 20931
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.669628334404786e-06,
+      "loss": 0.7932,
+      "step": 20932
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6689273474649781e-06,
+      "loss": 0.7281,
+      "step": 20933
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6682264943117566e-06,
+      "loss": 0.6956,
+      "step": 20934
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6675257749563767e-06,
+      "loss": 0.749,
+      "step": 20935
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.666825189410095e-06,
+      "loss": 0.743,
+      "step": 20936
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6661247376841573e-06,
+      "loss": 0.7348,
+      "step": 20937
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.665424419789814e-06,
+      "loss": 0.7569,
+      "step": 20938
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6647242357383087e-06,
+      "loss": 0.842,
+      "step": 20939
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6640241855408877e-06,
+      "loss": 0.7649,
+      "step": 20940
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6633242692087937e-06,
+      "loss": 0.7938,
+      "step": 20941
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.662624486753267e-06,
+      "loss": 0.7229,
+      "step": 20942
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6619248381855413e-06,
+      "loss": 0.6752,
+      "step": 20943
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6612253235168541e-06,
+      "loss": 0.8109,
+      "step": 20944
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6605259427584398e-06,
+      "loss": 0.7402,
+      "step": 20945
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6598266959215315e-06,
+      "loss": 0.8914,
+      "step": 20946
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6591275830173525e-06,
+      "loss": 0.6554,
+      "step": 20947
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6584286040571329e-06,
+      "loss": 0.7997,
+      "step": 20948
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6577297590521002e-06,
+      "loss": 0.7573,
+      "step": 20949
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6570310480134722e-06,
+      "loss": 0.7042,
+      "step": 20950
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6563324709524697e-06,
+      "loss": 0.8217,
+      "step": 20951
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.655634027880314e-06,
+      "loss": 0.744,
+      "step": 20952
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6549357188082215e-06,
+      "loss": 0.6675,
+      "step": 20953
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6542375437474023e-06,
+      "loss": 0.7363,
+      "step": 20954
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6535395027090717e-06,
+      "loss": 0.8537,
+      "step": 20955
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6528415957044363e-06,
+      "loss": 0.7868,
+      "step": 20956
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.652143822744705e-06,
+      "loss": 0.7161,
+      "step": 20957
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6514461838410846e-06,
+      "loss": 0.6874,
+      "step": 20958
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.650748679004779e-06,
+      "loss": 0.743,
+      "step": 20959
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.650051308246985e-06,
+      "loss": 0.8561,
+      "step": 20960
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6493540715789036e-06,
+      "loss": 0.7025,
+      "step": 20961
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6486569690117315e-06,
+      "loss": 0.6931,
+      "step": 20962
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6479600005566666e-06,
+      "loss": 0.7283,
+      "step": 20963
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.647263166224896e-06,
+      "loss": 0.8037,
+      "step": 20964
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.646566466027615e-06,
+      "loss": 0.7978,
+      "step": 20965
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6458698999760036e-06,
+      "loss": 0.8716,
+      "step": 20966
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.645173468081258e-06,
+      "loss": 0.8111,
+      "step": 20967
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.644477170354556e-06,
+      "loss": 0.8158,
+      "step": 20968
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6437810068070826e-06,
+      "loss": 0.7533,
+      "step": 20969
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6430849774500102e-06,
+      "loss": 0.6666,
+      "step": 20970
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6423890822945266e-06,
+      "loss": 0.7816,
+      "step": 20971
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6416933213517983e-06,
+      "loss": 0.6999,
+      "step": 20972
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6409976946330042e-06,
+      "loss": 0.7641,
+      "step": 20973
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6403022021493109e-06,
+      "loss": 0.7898,
+      "step": 20974
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6396068439118895e-06,
+      "loss": 0.735,
+      "step": 20975
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6389116199319054e-06,
+      "loss": 0.6897,
+      "step": 20976
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6382165302205255e-06,
+      "loss": 0.8182,
+      "step": 20977
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6375215747889084e-06,
+      "loss": 0.9772,
+      "step": 20978
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6368267536482162e-06,
+      "loss": 0.823,
+      "step": 20979
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.636132066809606e-06,
+      "loss": 0.8533,
+      "step": 20980
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6354375142842371e-06,
+      "loss": 0.6301,
+      "step": 20981
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.634743096083259e-06,
+      "loss": 0.8023,
+      "step": 20982
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6340488122178255e-06,
+      "loss": 0.7218,
+      "step": 20983
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6333546626990804e-06,
+      "loss": 0.7257,
+      "step": 20984
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.63266064753818e-06,
+      "loss": 0.7664,
+      "step": 20985
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6319667667462635e-06,
+      "loss": 0.6532,
+      "step": 20986
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6312730203344763e-06,
+      "loss": 0.7099,
+      "step": 20987
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6305794083139559e-06,
+      "loss": 0.7537,
+      "step": 20988
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6298859306958425e-06,
+      "loss": 0.7961,
+      "step": 20989
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6291925874912729e-06,
+      "loss": 0.7251,
+      "step": 20990
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6284993787113834e-06,
+      "loss": 0.7745,
+      "step": 20991
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.627806304367301e-06,
+      "loss": 0.6566,
+      "step": 20992
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6271133644701586e-06,
+      "loss": 0.8367,
+      "step": 20993
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6264205590310867e-06,
+      "loss": 0.6464,
+      "step": 20994
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6257278880612048e-06,
+      "loss": 0.7317,
+      "step": 20995
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.62503535157164e-06,
+      "loss": 0.68,
+      "step": 20996
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.624342949573513e-06,
+      "loss": 0.7896,
+      "step": 20997
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.623650682077945e-06,
+      "loss": 0.722,
+      "step": 20998
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6229585490960487e-06,
+      "loss": 0.7385,
+      "step": 20999
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6222665506389435e-06,
+      "loss": 0.7564,
+      "step": 21000
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6215746867177352e-06,
+      "loss": 0.7521,
+      "step": 21001
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6208829573435436e-06,
+      "loss": 0.7992,
+      "step": 21002
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.620191362527469e-06,
+      "loss": 0.7492,
+      "step": 21003
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6194999022806235e-06,
+      "loss": 0.6444,
+      "step": 21004
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6188085766141049e-06,
+      "loss": 0.8553,
+      "step": 21005
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6181173855390186e-06,
+      "loss": 0.7916,
+      "step": 21006
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6174263290664648e-06,
+      "loss": 0.8173,
+      "step": 21007
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6167354072075425e-06,
+      "loss": 0.6771,
+      "step": 21008
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6160446199733415e-06,
+      "loss": 0.7768,
+      "step": 21009
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6153539673749586e-06,
+      "loss": 0.8404,
+      "step": 21010
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6146634494234848e-06,
+      "loss": 0.6397,
+      "step": 21011
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6139730661300113e-06,
+      "loss": 0.7678,
+      "step": 21012
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6132828175056193e-06,
+      "loss": 0.6527,
+      "step": 21013
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6125927035613975e-06,
+      "loss": 0.6861,
+      "step": 21014
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6119027243084228e-06,
+      "loss": 0.686,
+      "step": 21015
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6112128797577853e-06,
+      "loss": 0.6633,
+      "step": 21016
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6105231699205537e-06,
+      "loss": 0.6927,
+      "step": 21017
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6098335948078104e-06,
+      "loss": 0.7155,
+      "step": 21018
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6091441544306208e-06,
+      "loss": 0.7216,
+      "step": 21019
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6084548488000663e-06,
+      "loss": 0.7762,
+      "step": 21020
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.60776567792721e-06,
+      "loss": 0.6924,
+      "step": 21021
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6070766418231222e-06,
+      "loss": 0.7328,
+      "step": 21022
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.606387740498865e-06,
+      "loss": 0.7042,
+      "step": 21023
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6056989739655027e-06,
+      "loss": 0.4998,
+      "step": 21024
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6050103422340967e-06,
+      "loss": 0.6468,
+      "step": 21025
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6043218453157072e-06,
+      "loss": 0.8693,
+      "step": 21026
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6036334832213863e-06,
+      "loss": 0.8634,
+      "step": 21027
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6029452559621895e-06,
+      "loss": 0.7112,
+      "step": 21028
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6022571635491713e-06,
+      "loss": 0.6232,
+      "step": 21029
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6015692059933808e-06,
+      "loss": 0.8116,
+      "step": 21030
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6008813833058635e-06,
+      "loss": 0.7352,
+      "step": 21031
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6001936954976694e-06,
+      "loss": 0.8582,
+      "step": 21032
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5995061425798363e-06,
+      "loss": 0.8672,
+      "step": 21033
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.598818724563408e-06,
+      "loss": 0.858,
+      "step": 21034
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5981314414594229e-06,
+      "loss": 0.7856,
+      "step": 21035
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5974442932789224e-06,
+      "loss": 0.8524,
+      "step": 21036
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5967572800329345e-06,
+      "loss": 0.7731,
+      "step": 21037
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5960704017324946e-06,
+      "loss": 0.8092,
+      "step": 21038
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.595383658388636e-06,
+      "loss": 0.7647,
+      "step": 21039
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5946970500123826e-06,
+      "loss": 0.7496,
+      "step": 21040
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5940105766147618e-06,
+      "loss": 0.6106,
+      "step": 21041
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.593324238206797e-06,
+      "loss": 0.7119,
+      "step": 21042
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.592638034799514e-06,
+      "loss": 0.7985,
+      "step": 21043
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5919519664039263e-06,
+      "loss": 0.7261,
+      "step": 21044
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.591266033031057e-06,
+      "loss": 0.8011,
+      "step": 21045
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.590580234691913e-06,
+      "loss": 0.8792,
+      "step": 21046
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5898945713975178e-06,
+      "loss": 0.7243,
+      "step": 21047
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.589209043158876e-06,
+      "loss": 0.8035,
+      "step": 21048
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5885236499869995e-06,
+      "loss": 0.7208,
+      "step": 21049
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5878383918928874e-06,
+      "loss": 0.7927,
+      "step": 21050
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5871532688875547e-06,
+      "loss": 0.6492,
+      "step": 21051
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5864682809819965e-06,
+      "loss": 0.7791,
+      "step": 21052
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5857834281872175e-06,
+      "loss": 0.7331,
+      "step": 21053
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5850987105142113e-06,
+      "loss": 0.7526,
+      "step": 21054
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5844141279739745e-06,
+      "loss": 0.8131,
+      "step": 21055
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5837296805775016e-06,
+      "loss": 0.6672,
+      "step": 21056
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.583045368335786e-06,
+      "loss": 0.7086,
+      "step": 21057
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5823611912598126e-06,
+      "loss": 0.7314,
+      "step": 21058
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.581677149360571e-06,
+      "loss": 0.7081,
+      "step": 21059
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.580993242649045e-06,
+      "loss": 0.7578,
+      "step": 21060
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.58030947113622e-06,
+      "loss": 0.7407,
+      "step": 21061
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5796258348330728e-06,
+      "loss": 0.8024,
+      "step": 21062
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5789423337505849e-06,
+      "loss": 0.6944,
+      "step": 21063
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5782589678997274e-06,
+      "loss": 0.7379,
+      "step": 21064
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5775757372914824e-06,
+      "loss": 0.7692,
+      "step": 21065
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5768926419368135e-06,
+      "loss": 0.608,
+      "step": 21066
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5762096818466976e-06,
+      "loss": 0.7548,
+      "step": 21067
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5755268570320936e-06,
+      "loss": 0.6575,
+      "step": 21068
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.574844167503976e-06,
+      "loss": 0.7294,
+      "step": 21069
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5741616132733029e-06,
+      "loss": 0.7428,
+      "step": 21070
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5734791943510375e-06,
+      "loss": 0.745,
+      "step": 21071
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5727969107481345e-06,
+      "loss": 0.6861,
+      "step": 21072
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5721147624755539e-06,
+      "loss": 0.7692,
+      "step": 21073
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5714327495442483e-06,
+      "loss": 0.7655,
+      "step": 21074
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5707508719651755e-06,
+      "loss": 0.7649,
+      "step": 21075
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5700691297492777e-06,
+      "loss": 0.6996,
+      "step": 21076
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5693875229075062e-06,
+      "loss": 0.6756,
+      "step": 21077
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.568706051450809e-06,
+      "loss": 0.604,
+      "step": 21078
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5680247153901263e-06,
+      "loss": 0.801,
+      "step": 21079
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5673435147364002e-06,
+      "loss": 0.6711,
+      "step": 21080
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5666624495005734e-06,
+      "loss": 0.7873,
+      "step": 21081
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5659815196935767e-06,
+      "loss": 0.7762,
+      "step": 21082
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5653007253263498e-06,
+      "loss": 0.7629,
+      "step": 21083
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5646200664098254e-06,
+      "loss": 0.7686,
+      "step": 21084
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5639395429549297e-06,
+      "loss": 0.8278,
+      "step": 21085
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.563259154972595e-06,
+      "loss": 0.6598,
+      "step": 21086
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.562578902473746e-06,
+      "loss": 0.7535,
+      "step": 21087
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5618987854693102e-06,
+      "loss": 0.7682,
+      "step": 21088
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5612188039702037e-06,
+      "loss": 0.7243,
+      "step": 21089
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5605389579873508e-06,
+      "loss": 0.7507,
+      "step": 21090
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.559859247531662e-06,
+      "loss": 0.727,
+      "step": 21091
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5591796726140629e-06,
+      "loss": 0.6241,
+      "step": 21092
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.558500233245459e-06,
+      "loss": 0.8019,
+      "step": 21093
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5578209294367653e-06,
+      "loss": 0.8062,
+      "step": 21094
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5571417611988849e-06,
+      "loss": 0.7305,
+      "step": 21095
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5564627285427325e-06,
+      "loss": 0.8476,
+      "step": 21096
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5557838314792062e-06,
+      "loss": 0.7447,
+      "step": 21097
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5551050700192127e-06,
+      "loss": 0.5873,
+      "step": 21098
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5544264441736467e-06,
+      "loss": 0.8539,
+      "step": 21099
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5537479539534106e-06,
+      "loss": 0.8152,
+      "step": 21100
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5530695993693978e-06,
+      "loss": 0.8152,
+      "step": 21101
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5523913804325042e-06,
+      "loss": 0.7087,
+      "step": 21102
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5517132971536187e-06,
+      "loss": 0.7551,
+      "step": 21103
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5510353495436303e-06,
+      "loss": 0.6624,
+      "step": 21104
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5503575376134272e-06,
+      "loss": 0.6584,
+      "step": 21105
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5496798613738974e-06,
+      "loss": 0.8713,
+      "step": 21106
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5490023208359161e-06,
+      "loss": 0.789,
+      "step": 21107
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5483249160103696e-06,
+      "loss": 0.6513,
+      "step": 21108
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5476476469081337e-06,
+      "loss": 0.6301,
+      "step": 21109
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5469705135400869e-06,
+      "loss": 0.6634,
+      "step": 21110
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5462935159171e-06,
+      "loss": 0.7321,
+      "step": 21111
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5456166540500473e-06,
+      "loss": 0.7825,
+      "step": 21112
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5449399279497934e-06,
+      "loss": 0.7676,
+      "step": 21113
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5442633376272142e-06,
+      "loss": 0.7416,
+      "step": 21114
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5435868830931678e-06,
+      "loss": 0.6041,
+      "step": 21115
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5429105643585218e-06,
+      "loss": 0.661,
+      "step": 21116
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5422343814341323e-06,
+      "loss": 0.7982,
+      "step": 21117
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5415583343308604e-06,
+      "loss": 0.7513,
+      "step": 21118
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5408824230595632e-06,
+      "loss": 0.6672,
+      "step": 21119
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5402066476310963e-06,
+      "loss": 0.6824,
+      "step": 21120
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5395310080563074e-06,
+      "loss": 0.957,
+      "step": 21121
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5388555043460495e-06,
+      "loss": 0.7505,
+      "step": 21122
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5381801365111726e-06,
+      "loss": 0.7529,
+      "step": 21123
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5375049045625157e-06,
+      "loss": 0.7592,
+      "step": 21124
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5368298085109269e-06,
+      "loss": 0.7256,
+      "step": 21125
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.536154848367246e-06,
+      "loss": 0.8455,
+      "step": 21126
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5354800241423152e-06,
+      "loss": 0.7751,
+      "step": 21127
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5348053358469661e-06,
+      "loss": 0.7505,
+      "step": 21128
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5341307834920383e-06,
+      "loss": 0.6783,
+      "step": 21129
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5334563670883585e-06,
+      "loss": 0.6973,
+      "step": 21130
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5327820866467613e-06,
+      "loss": 0.8031,
+      "step": 21131
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5321079421780738e-06,
+      "loss": 0.818,
+      "step": 21132
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.531433933693124e-06,
+      "loss": 0.7689,
+      "step": 21133
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5307600612027307e-06,
+      "loss": 0.6713,
+      "step": 21134
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5300863247177178e-06,
+      "loss": 0.7111,
+      "step": 21135
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5294127242489065e-06,
+      "loss": 0.7446,
+      "step": 21136
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.528739259807115e-06,
+      "loss": 0.7029,
+      "step": 21137
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5280659314031521e-06,
+      "loss": 0.7993,
+      "step": 21138
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5273927390478383e-06,
+      "loss": 0.741,
+      "step": 21139
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5267196827519748e-06,
+      "loss": 0.737,
+      "step": 21140
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5260467625263798e-06,
+      "loss": 0.7335,
+      "step": 21141
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5253739783818544e-06,
+      "loss": 0.7865,
+      "step": 21142
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5247013303292046e-06,
+      "loss": 0.8765,
+      "step": 21143
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5240288183792273e-06,
+      "loss": 0.6479,
+      "step": 21144
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5233564425427305e-06,
+      "loss": 0.7936,
+      "step": 21145
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5226842028305056e-06,
+      "loss": 0.7139,
+      "step": 21146
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5220120992533515e-06,
+      "loss": 0.6735,
+      "step": 21147
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5213401318220577e-06,
+      "loss": 0.5927,
+      "step": 21148
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5206683005474165e-06,
+      "loss": 0.6989,
+      "step": 21149
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5199966054402182e-06,
+      "loss": 0.7209,
+      "step": 21150
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5193250465112496e-06,
+      "loss": 0.7208,
+      "step": 21151
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5186536237712923e-06,
+      "loss": 0.8302,
+      "step": 21152
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5179823372311298e-06,
+      "loss": 0.8514,
+      "step": 21153
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5173111869015423e-06,
+      "loss": 0.8228,
+      "step": 21154
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.51664017279331e-06,
+      "loss": 0.6663,
+      "step": 21155
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5159692949172045e-06,
+      "loss": 0.6402,
+      "step": 21156
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5152985532840026e-06,
+      "loss": 0.811,
+      "step": 21157
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5146279479044702e-06,
+      "loss": 0.74,
+      "step": 21158
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.513957478789384e-06,
+      "loss": 0.7728,
+      "step": 21159
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5132871459495047e-06,
+      "loss": 0.6466,
+      "step": 21160
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5126169493956022e-06,
+      "loss": 0.8587,
+      "step": 21161
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5119468891384336e-06,
+      "loss": 0.7406,
+      "step": 21162
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5112769651887626e-06,
+      "loss": 0.73,
+      "step": 21163
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.510607177557346e-06,
+      "loss": 0.7803,
+      "step": 21164
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.509937526254942e-06,
+      "loss": 0.7013,
+      "step": 21165
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.509268011292302e-06,
+      "loss": 0.7505,
+      "step": 21166
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5085986326801772e-06,
+      "loss": 0.7228,
+      "step": 21167
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5079293904293202e-06,
+      "loss": 0.7111,
+      "step": 21168
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5072602845504737e-06,
+      "loss": 0.7902,
+      "step": 21169
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5065913150543853e-06,
+      "loss": 0.7686,
+      "step": 21170
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5059224819517982e-06,
+      "loss": 0.75,
+      "step": 21171
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5052537852534532e-06,
+      "loss": 0.7203,
+      "step": 21172
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5045852249700864e-06,
+      "loss": 0.7712,
+      "step": 21173
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5039168011124383e-06,
+      "loss": 0.6107,
+      "step": 21174
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5032485136912345e-06,
+      "loss": 0.8261,
+      "step": 21175
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5025803627172187e-06,
+      "loss": 0.7728,
+      "step": 21176
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5019123482011111e-06,
+      "loss": 0.7081,
+      "step": 21177
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5012444701536444e-06,
+      "loss": 0.7758,
+      "step": 21178
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5005767285855398e-06,
+      "loss": 0.6346,
+      "step": 21179
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4999091235075237e-06,
+      "loss": 0.7123,
+      "step": 21180
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4992416549303146e-06,
+      "loss": 0.727,
+      "step": 21181
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4985743228646355e-06,
+      "loss": 0.8034,
+      "step": 21182
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4979071273211964e-06,
+      "loss": 0.8942,
+      "step": 21183
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4972400683107168e-06,
+      "loss": 0.7845,
+      "step": 21184
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4965731458439058e-06,
+      "loss": 0.6881,
+      "step": 21185
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4959063599314784e-06,
+      "loss": 0.75,
+      "step": 21186
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4952397105841355e-06,
+      "loss": 0.7165,
+      "step": 21187
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4945731978125876e-06,
+      "loss": 0.7101,
+      "step": 21188
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.493906821627532e-06,
+      "loss": 0.6737,
+      "step": 21189
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4932405820396788e-06,
+      "loss": 0.6645,
+      "step": 21190
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4925744790597207e-06,
+      "loss": 0.8788,
+      "step": 21191
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.491908512698358e-06,
+      "loss": 0.7423,
+      "step": 21192
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4912426829662774e-06,
+      "loss": 0.6391,
+      "step": 21193
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.490576989874184e-06,
+      "loss": 0.8132,
+      "step": 21194
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.489911433432757e-06,
+      "loss": 0.8479,
+      "step": 21195
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.489246013652692e-06,
+      "loss": 0.8241,
+      "step": 21196
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4885807305446687e-06,
+      "loss": 0.7559,
+      "step": 21197
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4879155841193738e-06,
+      "loss": 0.8659,
+      "step": 21198
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4872505743874888e-06,
+      "loss": 0.7576,
+      "step": 21199
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.486585701359694e-06,
+      "loss": 0.6313,
+      "step": 21200
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4859209650466632e-06,
+      "loss": 0.7967,
+      "step": 21201
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4852563654590724e-06,
+      "loss": 0.8045,
+      "step": 21202
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.484591902607595e-06,
+      "loss": 0.6692,
+      "step": 21203
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4839275765029038e-06,
+      "loss": 0.678,
+      "step": 21204
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4832633871556623e-06,
+      "loss": 0.7743,
+      "step": 21205
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4825993345765399e-06,
+      "loss": 0.7948,
+      "step": 21206
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.481935418776198e-06,
+      "loss": 0.829,
+      "step": 21207
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4812716397652994e-06,
+      "loss": 0.7065,
+      "step": 21208
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.480607997554504e-06,
+      "loss": 0.801,
+      "step": 21209
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4799444921544703e-06,
+      "loss": 0.8223,
+      "step": 21210
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.479281123575851e-06,
+      "loss": 0.8335,
+      "step": 21211
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.478617891829298e-06,
+      "loss": 0.6592,
+      "step": 21212
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4779547969254671e-06,
+      "loss": 0.865,
+      "step": 21213
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4772918388750001e-06,
+      "loss": 0.7579,
+      "step": 21214
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4766290176885479e-06,
+      "loss": 0.8178,
+      "step": 21215
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4759663333767527e-06,
+      "loss": 0.6647,
+      "step": 21216
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4753037859502595e-06,
+      "loss": 0.6961,
+      "step": 21217
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.474641375419703e-06,
+      "loss": 0.8232,
+      "step": 21218
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4739791017957228e-06,
+      "loss": 0.6528,
+      "step": 21219
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4733169650889556e-06,
+      "loss": 0.6526,
+      "step": 21220
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.472654965310034e-06,
+      "loss": 0.8375,
+      "step": 21221
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4719931024695877e-06,
+      "loss": 0.7263,
+      "step": 21222
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4713313765782477e-06,
+      "loss": 0.8473,
+      "step": 21223
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4706697876466336e-06,
+      "loss": 0.8208,
+      "step": 21224
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.47000833568538e-06,
+      "loss": 0.667,
+      "step": 21225
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.469347020705102e-06,
+      "loss": 0.8169,
+      "step": 21226
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.468685842716423e-06,
+      "loss": 0.8224,
+      "step": 21227
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.468024801729957e-06,
+      "loss": 0.7201,
+      "step": 21228
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.467363897756321e-06,
+      "loss": 0.8352,
+      "step": 21229
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4667031308061287e-06,
+      "loss": 0.871,
+      "step": 21230
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4660425008899947e-06,
+      "loss": 0.7795,
+      "step": 21231
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.465382008018521e-06,
+      "loss": 0.8181,
+      "step": 21232
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4647216522023188e-06,
+      "loss": 0.6894,
+      "step": 21233
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4640614334519908e-06,
+      "loss": 0.797,
+      "step": 21234
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.463401351778142e-06,
+      "loss": 0.7338,
+      "step": 21235
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4627414071913693e-06,
+      "loss": 0.8595,
+      "step": 21236
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4620815997022742e-06,
+      "loss": 0.7526,
+      "step": 21237
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.461421929321445e-06,
+      "loss": 0.7503,
+      "step": 21238
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4607623960594842e-06,
+      "loss": 0.6492,
+      "step": 21239
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4601029999269767e-06,
+      "loss": 0.7334,
+      "step": 21240
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4594437409345175e-06,
+      "loss": 0.5468,
+      "step": 21241
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4587846190926846e-06,
+      "loss": 0.8739,
+      "step": 21242
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.458125634412072e-06,
+      "loss": 0.7036,
+      "step": 21243
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4574667869032567e-06,
+      "loss": 0.8457,
+      "step": 21244
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4568080765768223e-06,
+      "loss": 0.7054,
+      "step": 21245
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4561495034433426e-06,
+      "loss": 0.7701,
+      "step": 21246
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.455491067513396e-06,
+      "loss": 0.6995,
+      "step": 21247
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4548327687975562e-06,
+      "loss": 0.8116,
+      "step": 21248
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4541746073063967e-06,
+      "loss": 0.6259,
+      "step": 21249
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4535165830504815e-06,
+      "loss": 0.8387,
+      "step": 21250
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4528586960403812e-06,
+      "loss": 0.7419,
+      "step": 21251
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4522009462866604e-06,
+      "loss": 0.7465,
+      "step": 21252
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.451543333799883e-06,
+      "loss": 0.7834,
+      "step": 21253
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4508858585906061e-06,
+      "loss": 0.6419,
+      "step": 21254
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.450228520669391e-06,
+      "loss": 0.7558,
+      "step": 21255
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.449571320046791e-06,
+      "loss": 0.7658,
+      "step": 21256
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4489142567333614e-06,
+      "loss": 0.7548,
+      "step": 21257
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.448257330739653e-06,
+      "loss": 0.8015,
+      "step": 21258
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4476005420762196e-06,
+      "loss": 0.8697,
+      "step": 21259
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4469438907536014e-06,
+      "loss": 0.7794,
+      "step": 21260
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.446287376782346e-06,
+      "loss": 0.8249,
+      "step": 21261
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4456310001730001e-06,
+      "loss": 0.7649,
+      "step": 21262
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4449747609360998e-06,
+      "loss": 0.727,
+      "step": 21263
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4443186590821835e-06,
+      "loss": 0.6955,
+      "step": 21264
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4436626946217891e-06,
+      "loss": 0.6683,
+      "step": 21265
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.443006867565452e-06,
+      "loss": 0.7594,
+      "step": 21266
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4423511779236998e-06,
+      "loss": 0.7547,
+      "step": 21267
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.441695625707067e-06,
+      "loss": 0.687,
+      "step": 21268
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4410402109260734e-06,
+      "loss": 0.7357,
+      "step": 21269
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4403849335912545e-06,
+      "loss": 0.7989,
+      "step": 21270
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.439729793713125e-06,
+      "loss": 0.6723,
+      "step": 21271
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4390747913022108e-06,
+      "loss": 0.7612,
+      "step": 21272
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4384199263690223e-06,
+      "loss": 0.7171,
+      "step": 21273
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.437765198924087e-06,
+      "loss": 0.724,
+      "step": 21274
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.437110608977912e-06,
+      "loss": 0.6878,
+      "step": 21275
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4364561565410117e-06,
+      "loss": 0.8176,
+      "step": 21276
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4358018416238928e-06,
+      "loss": 0.78,
+      "step": 21277
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4351476642370654e-06,
+      "loss": 0.6359,
+      "step": 21278
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4344936243910335e-06,
+      "loss": 0.7767,
+      "step": 21279
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.433839722096303e-06,
+      "loss": 0.7124,
+      "step": 21280
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.433185957363371e-06,
+      "loss": 0.7477,
+      "step": 21281
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4325323302027371e-06,
+      "loss": 0.7137,
+      "step": 21282
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4318788406248985e-06,
+      "loss": 0.7626,
+      "step": 21283
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4312254886403521e-06,
+      "loss": 0.6661,
+      "step": 21284
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.430572274259584e-06,
+      "loss": 0.7022,
+      "step": 21285
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4299191974930904e-06,
+      "loss": 0.6908,
+      "step": 21286
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4292662583513495e-06,
+      "loss": 0.6785,
+      "step": 21287
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4286134568448585e-06,
+      "loss": 0.6961,
+      "step": 21288
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4279607929840922e-06,
+      "loss": 0.7377,
+      "step": 21289
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.427308266779537e-06,
+      "loss": 0.7017,
+      "step": 21290
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4266558782416628e-06,
+      "loss": 0.8079,
+      "step": 21291
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4260036273809585e-06,
+      "loss": 0.7606,
+      "step": 21292
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4253515142078888e-06,
+      "loss": 0.7788,
+      "step": 21293
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.424699538732931e-06,
+      "loss": 0.7887,
+      "step": 21294
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4240477009665521e-06,
+      "loss": 0.7873,
+      "step": 21295
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4233960009192204e-06,
+      "loss": 0.6702,
+      "step": 21296
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.422744438601401e-06,
+      "loss": 0.7384,
+      "step": 21297
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4220930140235613e-06,
+      "loss": 0.8949,
+      "step": 21298
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4214417271961567e-06,
+      "loss": 0.7217,
+      "step": 21299
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4207905781296483e-06,
+      "loss": 0.5507,
+      "step": 21300
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4201395668344953e-06,
+      "loss": 0.7792,
+      "step": 21301
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4194886933211471e-06,
+      "loss": 0.8085,
+      "step": 21302
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.418837957600059e-06,
+      "loss": 0.8209,
+      "step": 21303
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.418187359681682e-06,
+      "loss": 0.7719,
+      "step": 21304
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4175368995764604e-06,
+      "loss": 0.725,
+      "step": 21305
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4168865772948414e-06,
+      "loss": 0.732,
+      "step": 21306
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4162363928472722e-06,
+      "loss": 0.7567,
+      "step": 21307
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4155863462441876e-06,
+      "loss": 0.7078,
+      "step": 21308
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4149364374960294e-06,
+      "loss": 0.6907,
+      "step": 21309
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4142866666132337e-06,
+      "loss": 0.7166,
+      "step": 21310
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.413637033606239e-06,
+      "loss": 0.8596,
+      "step": 21311
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4129875384854708e-06,
+      "loss": 0.7944,
+      "step": 21312
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4123381812613657e-06,
+      "loss": 0.8318,
+      "step": 21313
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4116889619443431e-06,
+      "loss": 0.7238,
+      "step": 21314
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.41103988054484e-06,
+      "loss": 0.7535,
+      "step": 21315
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4103909370732704e-06,
+      "loss": 0.8442,
+      "step": 21316
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4097421315400617e-06,
+      "loss": 0.7639,
+      "step": 21317
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4090934639556252e-06,
+      "loss": 0.7976,
+      "step": 21318
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4084449343303874e-06,
+      "loss": 0.756,
+      "step": 21319
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4077965426747564e-06,
+      "loss": 0.7075,
+      "step": 21320
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4071482889991472e-06,
+      "loss": 0.7419,
+      "step": 21321
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4065001733139683e-06,
+      "loss": 0.7365,
+      "step": 21322
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4058521956296278e-06,
+      "loss": 0.6984,
+      "step": 21323
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.405204355956532e-06,
+      "loss": 0.7029,
+      "step": 21324
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.404556654305086e-06,
+      "loss": 0.8009,
+      "step": 21325
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4039090906856877e-06,
+      "loss": 0.7553,
+      "step": 21326
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4032616651087382e-06,
+      "loss": 0.7224,
+      "step": 21327
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4026143775846334e-06,
+      "loss": 0.7283,
+      "step": 21328
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4019672281237716e-06,
+      "loss": 0.8568,
+      "step": 21329
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.401320216736539e-06,
+      "loss": 0.7897,
+      "step": 21330
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4006733434333297e-06,
+      "loss": 0.8771,
+      "step": 21331
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4000266082245305e-06,
+      "loss": 0.76,
+      "step": 21332
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.3993800111205302e-06,
+      "loss": 0.7924,
+      "step": 21333
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.3987335521317068e-06,
+      "loss": 0.6746,
+      "step": 21334
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.398087231268448e-06,
+      "loss": 0.7097,
+      "step": 21335
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.3974410485411238e-06,
+      "loss": 0.695,
+      "step": 21336
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.396795003960122e-06,
+      "loss": 0.7836,
+      "step": 21337
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.3961490975358095e-06,
+      "loss": 0.6861,
+      "step": 21338
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.3955033292785636e-06,
+      "loss": 0.591,
+      "step": 21339
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.3948576991987495e-06,
+      "loss": 0.7919,
+      "step": 21340
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3942122073067388e-06,
+      "loss": 0.7317,
+      "step": 21341
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3935668536128955e-06,
+      "loss": 0.8413,
+      "step": 21342
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3929216381275866e-06,
+      "loss": 0.7456,
+      "step": 21343
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3922765608611687e-06,
+      "loss": 0.8226,
+      "step": 21344
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3916316218240034e-06,
+      "loss": 0.7449,
+      "step": 21345
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.39098682102645e-06,
+      "loss": 0.7444,
+      "step": 21346
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3903421584788579e-06,
+      "loss": 0.7377,
+      "step": 21347
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3896976341915814e-06,
+      "loss": 0.768,
+      "step": 21348
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.389053248174973e-06,
+      "loss": 0.8289,
+      "step": 21349
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3884090004393803e-06,
+      "loss": 0.7248,
+      "step": 21350
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3877648909951468e-06,
+      "loss": 0.7344,
+      "step": 21351
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3871209198526191e-06,
+      "loss": 0.6719,
+      "step": 21352
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3864770870221344e-06,
+      "loss": 0.7854,
+      "step": 21353
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3858333925140354e-06,
+      "loss": 0.721,
+      "step": 21354
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3851898363386574e-06,
+      "loss": 0.6723,
+      "step": 21355
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3845464185063373e-06,
+      "loss": 0.7769,
+      "step": 21356
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.383903139027404e-06,
+      "loss": 0.7312,
+      "step": 21357
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3832599979121907e-06,
+      "loss": 0.7649,
+      "step": 21358
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3826169951710234e-06,
+      "loss": 0.7503,
+      "step": 21359
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.381974130814231e-06,
+      "loss": 0.6278,
+      "step": 21360
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3813314048521332e-06,
+      "loss": 0.7426,
+      "step": 21361
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.380688817295056e-06,
+      "loss": 0.7687,
+      "step": 21362
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3800463681533104e-06,
+      "loss": 0.6257,
+      "step": 21363
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3794040574372247e-06,
+      "loss": 0.7426,
+      "step": 21364
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3787618851571038e-06,
+      "loss": 0.7401,
+      "step": 21365
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3781198513232675e-06,
+      "loss": 0.7889,
+      "step": 21366
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3774779559460171e-06,
+      "loss": 0.7625,
+      "step": 21367
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3768361990356705e-06,
+      "loss": 0.7467,
+      "step": 21368
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3761945806025279e-06,
+      "loss": 0.6571,
+      "step": 21369
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3755531006568956e-06,
+      "loss": 0.8751,
+      "step": 21370
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.374911759209071e-06,
+      "loss": 0.6831,
+      "step": 21371
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3742705562693559e-06,
+      "loss": 0.7972,
+      "step": 21372
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3736294918480475e-06,
+      "loss": 0.737,
+      "step": 21373
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.372988565955442e-06,
+      "loss": 0.8551,
+      "step": 21374
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.372347778601828e-06,
+      "loss": 0.6676,
+      "step": 21375
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.371707129797497e-06,
+      "loss": 0.7664,
+      "step": 21376
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3710666195527377e-06,
+      "loss": 0.761,
+      "step": 21377
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3704262478778385e-06,
+      "loss": 0.9202,
+      "step": 21378
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3697860147830778e-06,
+      "loss": 0.7004,
+      "step": 21379
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3691459202787417e-06,
+      "loss": 0.8222,
+      "step": 21380
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.368505964375102e-06,
+      "loss": 0.8633,
+      "step": 21381
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3678661470824461e-06,
+      "loss": 0.8819,
+      "step": 21382
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3672264684110404e-06,
+      "loss": 0.6048,
+      "step": 21383
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.366586928371163e-06,
+      "loss": 0.8582,
+      "step": 21384
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3659475269730782e-06,
+      "loss": 0.7918,
+      "step": 21385
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3653082642270575e-06,
+      "loss": 0.606,
+      "step": 21386
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3646691401433666e-06,
+      "loss": 0.83,
+      "step": 21387
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3640301547322698e-06,
+      "loss": 0.823,
+      "step": 21388
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.363391308004025e-06,
+      "loss": 0.5553,
+      "step": 21389
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3627525999688952e-06,
+      "loss": 0.7305,
+      "step": 21390
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3621140306371362e-06,
+      "loss": 0.7521,
+      "step": 21391
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.361475600019e-06,
+      "loss": 0.8445,
+      "step": 21392
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3608373081247417e-06,
+      "loss": 0.8092,
+      "step": 21393
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3601991549646098e-06,
+      "loss": 0.7379,
+      "step": 21394
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3595611405488563e-06,
+      "loss": 0.7524,
+      "step": 21395
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3589232648877205e-06,
+      "loss": 0.9137,
+      "step": 21396
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.358285527991453e-06,
+      "loss": 0.7366,
+      "step": 21397
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3576479298702849e-06,
+      "loss": 0.7845,
+      "step": 21398
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3570104705344678e-06,
+      "loss": 0.6948,
+      "step": 21399
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.356373149994229e-06,
+      "loss": 0.7608,
+      "step": 21400
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3557359682598092e-06,
+      "loss": 0.8408,
+      "step": 21401
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.355098925341435e-06,
+      "loss": 0.8246,
+      "step": 21402
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3544620212493397e-06,
+      "loss": 0.8724,
+      "step": 21403
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3538252559937504e-06,
+      "loss": 0.6488,
+      "step": 21404
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3531886295848961e-06,
+      "loss": 0.8046,
+      "step": 21405
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3525521420329958e-06,
+      "loss": 0.7958,
+      "step": 21406
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3519157933482707e-06,
+      "loss": 0.8041,
+      "step": 21407
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.351279583540942e-06,
+      "loss": 0.7797,
+      "step": 21408
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.350643512621228e-06,
+      "loss": 0.7976,
+      "step": 21409
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3500075805993385e-06,
+      "loss": 0.8162,
+      "step": 21410
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3493717874854905e-06,
+      "loss": 0.7332,
+      "step": 21411
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3487361332898875e-06,
+      "loss": 0.8258,
+      "step": 21412
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3481006180227462e-06,
+      "loss": 0.7486,
+      "step": 21413
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3474652416942647e-06,
+      "loss": 0.5963,
+      "step": 21414
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.346830004314652e-06,
+      "loss": 0.7295,
+      "step": 21415
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3461949058941015e-06,
+      "loss": 0.7794,
+      "step": 21416
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3455599464428215e-06,
+      "loss": 0.8498,
+      "step": 21417
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3449251259710017e-06,
+      "loss": 0.6747,
+      "step": 21418
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3442904444888416e-06,
+      "loss": 0.6722,
+      "step": 21419
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3436559020065288e-06,
+      "loss": 0.6775,
+      "step": 21420
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.343021498534255e-06,
+      "loss": 0.7849,
+      "step": 21421
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3423872340822074e-06,
+      "loss": 0.7093,
+      "step": 21422
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3417531086605751e-06,
+      "loss": 0.8937,
+      "step": 21423
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3411191222795362e-06,
+      "loss": 0.8941,
+      "step": 21424
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3404852749492737e-06,
+      "loss": 0.7218,
+      "step": 21425
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3398515666799673e-06,
+      "loss": 0.7538,
+      "step": 21426
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3392179974817953e-06,
+      "loss": 0.7646,
+      "step": 21427
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3385845673649268e-06,
+      "loss": 0.8536,
+      "step": 21428
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3379512763395397e-06,
+      "loss": 0.7476,
+      "step": 21429
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3373181244157972e-06,
+      "loss": 0.6156,
+      "step": 21430
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3366851116038726e-06,
+      "loss": 0.8821,
+      "step": 21431
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3360522379139285e-06,
+      "loss": 0.7554,
+      "step": 21432
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3354195033561313e-06,
+      "loss": 0.9578,
+      "step": 21433
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3347869079406372e-06,
+      "loss": 0.7697,
+      "step": 21434
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3341544516776072e-06,
+      "loss": 0.7447,
+      "step": 21435
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3335221345771999e-06,
+      "loss": 0.7434,
+      "step": 21436
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3328899566495656e-06,
+      "loss": 0.707,
+      "step": 21437
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3322579179048578e-06,
+      "loss": 0.8128,
+      "step": 21438
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.331626018353226e-06,
+      "loss": 0.7668,
+      "step": 21439
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.330994258004822e-06,
+      "loss": 0.7747,
+      "step": 21440
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.330362636869783e-06,
+      "loss": 0.693,
+      "step": 21441
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3297311549582603e-06,
+      "loss": 0.8278,
+      "step": 21442
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3290998122803856e-06,
+      "loss": 0.9227,
+      "step": 21443
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3284686088463072e-06,
+      "loss": 0.8489,
+      "step": 21444
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.327837544666155e-06,
+      "loss": 0.6682,
+      "step": 21445
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3272066197500677e-06,
+      "loss": 0.773,
+      "step": 21446
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3265758341081692e-06,
+      "loss": 0.7592,
+      "step": 21447
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.325945187750599e-06,
+      "loss": 0.6432,
+      "step": 21448
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3253146806874773e-06,
+      "loss": 0.809,
+      "step": 21449
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3246843129289343e-06,
+      "loss": 0.8464,
+      "step": 21450
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.324054084485089e-06,
+      "loss": 0.7457,
+      "step": 21451
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3234239953660633e-06,
+      "loss": 0.9499,
+      "step": 21452
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3227940455819755e-06,
+      "loss": 0.689,
+      "step": 21453
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3221642351429442e-06,
+      "loss": 0.7788,
+      "step": 21454
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3215345640590793e-06,
+      "loss": 0.6698,
+      "step": 21455
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.320905032340495e-06,
+      "loss": 0.6884,
+      "step": 21456
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3202756399972993e-06,
+      "loss": 0.7737,
+      "step": 21457
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3196463870396037e-06,
+      "loss": 0.6516,
+      "step": 21458
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3190172734775075e-06,
+      "loss": 0.7623,
+      "step": 21459
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3183882993211184e-06,
+      "loss": 0.787,
+      "step": 21460
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3177594645805304e-06,
+      "loss": 0.7133,
+      "step": 21461
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3171307692658497e-06,
+      "loss": 0.6919,
+      "step": 21462
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3165022133871664e-06,
+      "loss": 0.7532,
+      "step": 21463
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3158737969545788e-06,
+      "loss": 0.6585,
+      "step": 21464
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3152455199781723e-06,
+      "loss": 0.8438,
+      "step": 21465
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3146173824680442e-06,
+      "loss": 0.8174,
+      "step": 21466
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3139893844342756e-06,
+      "loss": 0.9562,
+      "step": 21467
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3133615258869548e-06,
+      "loss": 0.7761,
+      "step": 21468
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3127338068361617e-06,
+      "loss": 0.7981,
+      "step": 21469
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.312106227291977e-06,
+      "loss": 0.7312,
+      "step": 21470
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3114787872644808e-06,
+      "loss": 0.5953,
+      "step": 21471
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3108514867637489e-06,
+      "loss": 0.8397,
+      "step": 21472
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3102243257998526e-06,
+      "loss": 0.6912,
+      "step": 21473
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3095973043828647e-06,
+      "loss": 0.8596,
+      "step": 21474
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.308970422522856e-06,
+      "loss": 0.7601,
+      "step": 21475
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.30834368022989e-06,
+      "loss": 0.8047,
+      "step": 21476
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3077170775140336e-06,
+      "loss": 0.6561,
+      "step": 21477
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3070906143853513e-06,
+      "loss": 0.7981,
+      "step": 21478
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3064642908538983e-06,
+      "loss": 0.7867,
+      "step": 21479
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3058381069297343e-06,
+      "loss": 0.6519,
+      "step": 21480
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3052120626229192e-06,
+      "loss": 0.7529,
+      "step": 21481
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3045861579435003e-06,
+      "loss": 0.7918,
+      "step": 21482
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3039603929015321e-06,
+      "loss": 0.8408,
+      "step": 21483
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.303334767507064e-06,
+      "loss": 0.8124,
+      "step": 21484
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3027092817701437e-06,
+      "loss": 0.7845,
+      "step": 21485
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3020839357008108e-06,
+      "loss": 0.808,
+      "step": 21486
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3014587293091141e-06,
+      "loss": 0.6769,
+      "step": 21487
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3008336626050854e-06,
+      "loss": 0.7188,
+      "step": 21488
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3002087355987726e-06,
+      "loss": 0.7301,
+      "step": 21489
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2995839483002027e-06,
+      "loss": 0.8286,
+      "step": 21490
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2989593007194157e-06,
+      "loss": 0.7954,
+      "step": 21491
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2983347928664348e-06,
+      "loss": 0.7295,
+      "step": 21492
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2977104247512973e-06,
+      "loss": 0.7359,
+      "step": 21493
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.297086196384023e-06,
+      "loss": 0.7681,
+      "step": 21494
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.296462107774642e-06,
+      "loss": 0.7018,
+      "step": 21495
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2958381589331714e-06,
+      "loss": 0.7733,
+      "step": 21496
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2952143498696324e-06,
+      "loss": 0.8126,
+      "step": 21497
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2945906805940434e-06,
+      "loss": 0.7645,
+      "step": 21498
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2939671511164221e-06,
+      "loss": 0.7114,
+      "step": 21499
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.293343761446777e-06,
+      "loss": 0.6356,
+      "step": 21500
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2927205115951202e-06,
+      "loss": 0.7721,
+      "step": 21501
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2920974015714617e-06,
+      "loss": 0.7722,
+      "step": 21502
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2914744313858097e-06,
+      "loss": 0.7103,
+      "step": 21503
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.290851601048163e-06,
+      "loss": 0.7265,
+      "step": 21504
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2902289105685272e-06,
+      "loss": 0.7505,
+      "step": 21505
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.289606359956901e-06,
+      "loss": 0.7804,
+      "step": 21506
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2889839492232836e-06,
+      "loss": 0.7306,
+      "step": 21507
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2883616783776676e-06,
+      "loss": 0.7153,
+      "step": 21508
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2877395474300481e-06,
+      "loss": 0.7313,
+      "step": 21509
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2871175563904092e-06,
+      "loss": 0.9326,
+      "step": 21510
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2864957052687499e-06,
+      "loss": 0.7815,
+      "step": 21511
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2858739940750485e-06,
+      "loss": 0.8477,
+      "step": 21512
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.285252422819293e-06,
+      "loss": 0.8849,
+      "step": 21513
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2846309915114618e-06,
+      "loss": 0.6978,
+      "step": 21514
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.284009700161536e-06,
+      "loss": 0.8236,
+      "step": 21515
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.283388548779493e-06,
+      "loss": 0.6461,
+      "step": 21516
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.282767537375309e-06,
+      "loss": 0.7879,
+      "step": 21517
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.282146665958952e-06,
+      "loss": 0.8456,
+      "step": 21518
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2815259345403975e-06,
+      "loss": 0.6574,
+      "step": 21519
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2809053431296127e-06,
+      "loss": 0.9324,
+      "step": 21520
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2802848917365595e-06,
+      "loss": 0.7453,
+      "step": 21521
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2796645803712048e-06,
+      "loss": 0.7462,
+      "step": 21522
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2790444090435106e-06,
+      "loss": 0.7365,
+      "step": 21523
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2784243777634375e-06,
+      "loss": 0.638,
+      "step": 21524
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2778044865409377e-06,
+      "loss": 0.7825,
+      "step": 21525
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.277184735385968e-06,
+      "loss": 0.8255,
+      "step": 21526
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2765651243084831e-06,
+      "loss": 0.6889,
+      "step": 21527
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.27594565331843e-06,
+      "loss": 0.678,
+      "step": 21528
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2753263224257572e-06,
+      "loss": 0.6811,
+      "step": 21529
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2747071316404126e-06,
+      "loss": 0.8226,
+      "step": 21530
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2740880809723366e-06,
+      "loss": 0.7761,
+      "step": 21531
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2734691704314717e-06,
+      "loss": 0.7331,
+      "step": 21532
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2728504000277575e-06,
+      "loss": 0.7287,
+      "step": 21533
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2722317697711318e-06,
+      "loss": 0.6423,
+      "step": 21534
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2716132796715252e-06,
+      "loss": 0.7675,
+      "step": 21535
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2709949297388746e-06,
+      "loss": 0.7194,
+      "step": 21536
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.270376719983103e-06,
+      "loss": 0.9134,
+      "step": 21537
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2697586504141458e-06,
+      "loss": 0.8091,
+      "step": 21538
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2691407210419238e-06,
+      "loss": 0.6662,
+      "step": 21539
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2685229318763637e-06,
+      "loss": 0.7512,
+      "step": 21540
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2679052829273796e-06,
+      "loss": 0.7442,
+      "step": 21541
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2672877742048984e-06,
+      "loss": 0.7799,
+      "step": 21542
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2666704057188317e-06,
+      "loss": 0.7476,
+      "step": 21543
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2660531774790964e-06,
+      "loss": 0.6701,
+      "step": 21544
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2654360894956008e-06,
+      "loss": 0.7464,
+      "step": 21545
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2648191417782562e-06,
+      "loss": 0.9802,
+      "step": 21546
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2642023343369714e-06,
+      "loss": 0.8431,
+      "step": 21547
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2635856671816516e-06,
+      "loss": 0.706,
+      "step": 21548
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2629691403221977e-06,
+      "loss": 0.6886,
+      "step": 21549
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2623527537685098e-06,
+      "loss": 0.7758,
+      "step": 21550
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2617365075304888e-06,
+      "loss": 0.7617,
+      "step": 21551
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2611204016180324e-06,
+      "loss": 0.6915,
+      "step": 21552
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.260504436041029e-06,
+      "loss": 0.9446,
+      "step": 21553
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2598886108093755e-06,
+      "loss": 0.8162,
+      "step": 21554
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.259272925932954e-06,
+      "loss": 0.8605,
+      "step": 21555
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2586573814216619e-06,
+      "loss": 0.8691,
+      "step": 21556
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2580419772853758e-06,
+      "loss": 0.7624,
+      "step": 21557
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2574267135339836e-06,
+      "loss": 0.7765,
+      "step": 21558
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2568115901773593e-06,
+      "loss": 0.7176,
+      "step": 21559
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2561966072253896e-06,
+      "loss": 0.8189,
+      "step": 21560
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.255581764687943e-06,
+      "loss": 0.7668,
+      "step": 21561
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2549670625748988e-06,
+      "loss": 0.8101,
+      "step": 21562
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2543525008961222e-06,
+      "loss": 0.8922,
+      "step": 21563
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2537380796614863e-06,
+      "loss": 0.8024,
+      "step": 21564
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2531237988808565e-06,
+      "loss": 0.7459,
+      "step": 21565
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2525096585641006e-06,
+      "loss": 0.808,
+      "step": 21566
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2518956587210761e-06,
+      "loss": 0.8242,
+      "step": 21567
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2512817993616455e-06,
+      "loss": 0.7124,
+      "step": 21568
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2506680804956695e-06,
+      "loss": 0.7225,
+      "step": 21569
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.250054502132997e-06,
+      "loss": 0.9094,
+      "step": 21570
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2494410642834853e-06,
+      "loss": 0.7873,
+      "step": 21571
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.248827766956986e-06,
+      "loss": 0.8329,
+      "step": 21572
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2482146101633474e-06,
+      "loss": 0.7319,
+      "step": 21573
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2476015939124142e-06,
+      "loss": 0.7546,
+      "step": 21574
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.246988718214035e-06,
+      "loss": 0.7533,
+      "step": 21575
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2463759830780453e-06,
+      "loss": 0.7364,
+      "step": 21576
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2457633885142896e-06,
+      "loss": 0.718,
+      "step": 21577
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.245150934532603e-06,
+      "loss": 0.8257,
+      "step": 21578
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2445386211428256e-06,
+      "loss": 0.7906,
+      "step": 21579
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.243926448354783e-06,
+      "loss": 0.7901,
+      "step": 21580
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2433144161783106e-06,
+      "loss": 0.6898,
+      "step": 21581
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.242702524623236e-06,
+      "loss": 0.72,
+      "step": 21582
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.242090773699387e-06,
+      "loss": 0.8443,
+      "step": 21583
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2414791634165846e-06,
+      "loss": 0.6386,
+      "step": 21584
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.240867693784653e-06,
+      "loss": 0.7467,
+      "step": 21585
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2402563648134059e-06,
+      "loss": 0.6438,
+      "step": 21586
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2396451765126704e-06,
+      "loss": 0.6673,
+      "step": 21587
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2390341288922535e-06,
+      "loss": 0.7135,
+      "step": 21588
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2384232219619719e-06,
+      "loss": 0.7883,
+      "step": 21589
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2378124557316306e-06,
+      "loss": 0.8551,
+      "step": 21590
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2372018302110466e-06,
+      "loss": 0.6236,
+      "step": 21591
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2365913454100175e-06,
+      "loss": 0.8037,
+      "step": 21592
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2359810013383534e-06,
+      "loss": 0.7693,
+      "step": 21593
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2353707980058494e-06,
+      "loss": 0.8099,
+      "step": 21594
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.234760735422309e-06,
+      "loss": 0.8211,
+      "step": 21595
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2341508135975266e-06,
+      "loss": 0.8783,
+      "step": 21596
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2335410325413e-06,
+      "loss": 0.6506,
+      "step": 21597
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2329313922634178e-06,
+      "loss": 0.7755,
+      "step": 21598
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2323218927736713e-06,
+      "loss": 0.7523,
+      "step": 21599
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2317125340818492e-06,
+      "loss": 0.6905,
+      "step": 21600
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.231103316197738e-06,
+      "loss": 0.7388,
+      "step": 21601
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.230494239131118e-06,
+      "loss": 0.6249,
+      "step": 21602
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2298853028917733e-06,
+      "loss": 0.8062,
+      "step": 21603
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2292765074894775e-06,
+      "loss": 0.6731,
+      "step": 21604
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2286678529340146e-06,
+      "loss": 0.7606,
+      "step": 21605
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2280593392351526e-06,
+      "loss": 0.6471,
+      "step": 21606
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.227450966402668e-06,
+      "loss": 0.7638,
+      "step": 21607
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2268427344463263e-06,
+      "loss": 0.7616,
+      "step": 21608
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2262346433758965e-06,
+      "loss": 0.6802,
+      "step": 21609
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.225626693201144e-06,
+      "loss": 0.9157,
+      "step": 21610
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2250188839318344e-06,
+      "loss": 0.7914,
+      "step": 21611
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2244112155777243e-06,
+      "loss": 0.7406,
+      "step": 21612
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2238036881485726e-06,
+      "loss": 0.8456,
+      "step": 21613
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2231963016541392e-06,
+      "loss": 0.7537,
+      "step": 21614
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.222589056104173e-06,
+      "loss": 0.7709,
+      "step": 21615
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2219819515084275e-06,
+      "loss": 0.7127,
+      "step": 21616
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2213749878766533e-06,
+      "loss": 0.7435,
+      "step": 21617
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2207681652185977e-06,
+      "loss": 0.6063,
+      "step": 21618
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2201614835440034e-06,
+      "loss": 0.8931,
+      "step": 21619
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2195549428626151e-06,
+      "loss": 0.7519,
+      "step": 21620
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2189485431841675e-06,
+      "loss": 0.6975,
+      "step": 21621
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2183422845184078e-06,
+      "loss": 0.7832,
+      "step": 21622
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2177361668750641e-06,
+      "loss": 0.6617,
+      "step": 21623
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2171301902638766e-06,
+      "loss": 0.8369,
+      "step": 21624
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2165243546945693e-06,
+      "loss": 0.8411,
+      "step": 21625
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2159186601768747e-06,
+      "loss": 0.7781,
+      "step": 21626
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2153131067205192e-06,
+      "loss": 0.7681,
+      "step": 21627
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2147076943352298e-06,
+      "loss": 0.6305,
+      "step": 21628
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2141024230307242e-06,
+      "loss": 0.6861,
+      "step": 21629
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2134972928167232e-06,
+      "loss": 0.7371,
+      "step": 21630
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2128923037029471e-06,
+      "loss": 0.7813,
+      "step": 21631
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2122874556991115e-06,
+      "loss": 0.7344,
+      "step": 21632
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2116827488149252e-06,
+      "loss": 0.8362,
+      "step": 21633
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2110781830601036e-06,
+      "loss": 0.6012,
+      "step": 21634
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2104737584443492e-06,
+      "loss": 0.5954,
+      "step": 21635
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2098694749773766e-06,
+      "loss": 0.8106,
+      "step": 21636
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2092653326688842e-06,
+      "loss": 0.7408,
+      "step": 21637
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2086613315285756e-06,
+      "loss": 0.7354,
+      "step": 21638
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2080574715661474e-06,
+      "loss": 0.8069,
+      "step": 21639
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2074537527913022e-06,
+      "loss": 0.6599,
+      "step": 21640
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2068501752137308e-06,
+      "loss": 0.7406,
+      "step": 21641
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2062467388431287e-06,
+      "loss": 0.7309,
+      "step": 21642
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.205643443689183e-06,
+      "loss": 0.6541,
+      "step": 21643
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2050402897615832e-06,
+      "loss": 0.6954,
+      "step": 21644
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2044372770700162e-06,
+      "loss": 0.6673,
+      "step": 21645
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.203834405624167e-06,
+      "loss": 0.7469,
+      "step": 21646
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2032316754337126e-06,
+      "loss": 0.7366,
+      "step": 21647
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2026290865083356e-06,
+      "loss": 0.8224,
+      "step": 21648
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2020266388577106e-06,
+      "loss": 0.8379,
+      "step": 21649
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2014243324915154e-06,
+      "loss": 0.781,
+      "step": 21650
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2008221674194188e-06,
+      "loss": 0.8511,
+      "step": 21651
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.200220143651094e-06,
+      "loss": 0.7891,
+      "step": 21652
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1996182611962048e-06,
+      "loss": 0.7425,
+      "step": 21653
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1990165200644188e-06,
+      "loss": 0.7936,
+      "step": 21654
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1984149202653995e-06,
+      "loss": 0.7976,
+      "step": 21655
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.19781346180881e-06,
+      "loss": 0.7243,
+      "step": 21656
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1972121447043038e-06,
+      "loss": 0.7798,
+      "step": 21657
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1966109689615402e-06,
+      "loss": 0.6942,
+      "step": 21658
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1960099345901743e-06,
+      "loss": 0.6621,
+      "step": 21659
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1954090415998566e-06,
+      "loss": 0.7633,
+      "step": 21660
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1948082900002357e-06,
+      "loss": 0.6549,
+      "step": 21661
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1942076798009604e-06,
+      "loss": 0.7042,
+      "step": 21662
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1936072110116781e-06,
+      "loss": 0.8724,
+      "step": 21663
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1930068836420261e-06,
+      "loss": 0.8225,
+      "step": 21664
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1924066977016502e-06,
+      "loss": 0.7937,
+      "step": 21665
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1918066532001815e-06,
+      "loss": 0.7845,
+      "step": 21666
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1912067501472656e-06,
+      "loss": 0.8076,
+      "step": 21667
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1906069885525285e-06,
+      "loss": 0.7217,
+      "step": 21668
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1900073684256075e-06,
+      "loss": 0.8271,
+      "step": 21669
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1894078897761252e-06,
+      "loss": 0.8333,
+      "step": 21670
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1888085526137127e-06,
+      "loss": 0.5867,
+      "step": 21671
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1882093569479935e-06,
+      "loss": 0.8166,
+      "step": 21672
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1876103027885931e-06,
+      "loss": 0.7602,
+      "step": 21673
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1870113901451264e-06,
+      "loss": 0.8157,
+      "step": 21674
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.186412619027213e-06,
+      "loss": 0.8049,
+      "step": 21675
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1858139894444686e-06,
+      "loss": 0.7068,
+      "step": 21676
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1852155014065092e-06,
+      "loss": 0.5984,
+      "step": 21677
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1846171549229413e-06,
+      "loss": 0.6698,
+      "step": 21678
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.184018950003376e-06,
+      "loss": 0.7241,
+      "step": 21679
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1834208866574182e-06,
+      "loss": 0.7473,
+      "step": 21680
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1828229648946764e-06,
+      "loss": 0.7351,
+      "step": 21681
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1822251847247468e-06,
+      "loss": 0.7651,
+      "step": 21682
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1816275461572335e-06,
+      "loss": 0.7358,
+      "step": 21683
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1810300492017269e-06,
+      "loss": 0.6368,
+      "step": 21684
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1804326938678323e-06,
+      "loss": 0.643,
+      "step": 21685
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1798354801651336e-06,
+      "loss": 0.6745,
+      "step": 21686
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1792384081032282e-06,
+      "loss": 0.7335,
+      "step": 21687
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1786414776916967e-06,
+      "loss": 0.7262,
+      "step": 21688
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.178044688940132e-06,
+      "loss": 0.7074,
+      "step": 21689
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1774480418581147e-06,
+      "loss": 0.7386,
+      "step": 21690
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.176851536455228e-06,
+      "loss": 0.7721,
+      "step": 21691
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1762551727410476e-06,
+      "loss": 0.7353,
+      "step": 21692
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1756589507251515e-06,
+      "loss": 0.8467,
+      "step": 21693
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1750628704171163e-06,
+      "loss": 0.7929,
+      "step": 21694
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1744669318265146e-06,
+      "loss": 0.7722,
+      "step": 21695
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1738711349629128e-06,
+      "loss": 0.8552,
+      "step": 21696
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1732754798358815e-06,
+      "loss": 0.7222,
+      "step": 21697
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1726799664549871e-06,
+      "loss": 0.7502,
+      "step": 21698
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1720845948297888e-06,
+      "loss": 0.768,
+      "step": 21699
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.17148936496985e-06,
+      "loss": 0.8303,
+      "step": 21700
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.170894276884732e-06,
+      "loss": 0.7383,
+      "step": 21701
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.170299330583986e-06,
+      "loss": 0.7143,
+      "step": 21702
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1697045260771688e-06,
+      "loss": 0.6081,
+      "step": 21703
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.169109863373833e-06,
+      "loss": 0.7312,
+      "step": 21704
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.168515342483526e-06,
+      "loss": 0.7384,
+      "step": 21705
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1679209634157962e-06,
+      "loss": 0.7066,
+      "step": 21706
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.167326726180188e-06,
+      "loss": 0.712,
+      "step": 21707
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.166732630786247e-06,
+      "loss": 0.7887,
+      "step": 21708
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.166138677243508e-06,
+      "loss": 0.8457,
+      "step": 21709
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1655448655615165e-06,
+      "loss": 0.799,
+      "step": 21710
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1649511957497984e-06,
+      "loss": 0.7424,
+      "step": 21711
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.164357667817898e-06,
+      "loss": 0.8819,
+      "step": 21712
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1637642817753391e-06,
+      "loss": 0.7317,
+      "step": 21713
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1631710376316562e-06,
+      "loss": 0.84,
+      "step": 21714
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1625779353963695e-06,
+      "loss": 0.711,
+      "step": 21715
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1619849750790113e-06,
+      "loss": 0.7786,
+      "step": 21716
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1613921566890972e-06,
+      "loss": 0.8209,
+      "step": 21717
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.160799480236151e-06,
+      "loss": 0.666,
+      "step": 21718
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1602069457296882e-06,
+      "loss": 0.8098,
+      "step": 21719
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1596145531792246e-06,
+      "loss": 0.7797,
+      "step": 21720
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1590223025942737e-06,
+      "loss": 0.8708,
+      "step": 21721
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.158430193984348e-06,
+      "loss": 0.6632,
+      "step": 21722
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1578382273589516e-06,
+      "loss": 0.7273,
+      "step": 21723
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1572464027275942e-06,
+      "loss": 0.8474,
+      "step": 21724
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1566547200997792e-06,
+      "loss": 0.9804,
+      "step": 21725
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1560631794850108e-06,
+      "loss": 0.687,
+      "step": 21726
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1554717808927817e-06,
+      "loss": 0.6861,
+      "step": 21727
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1548805243325966e-06,
+      "loss": 0.692,
+      "step": 21728
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1542894098139423e-06,
+      "loss": 0.8821,
+      "step": 21729
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.153698437346319e-06,
+      "loss": 0.8758,
+      "step": 21730
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1531076069392133e-06,
+      "loss": 0.7271,
+      "step": 21731
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1525169186021146e-06,
+      "loss": 0.7247,
+      "step": 21732
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1519263723445028e-06,
+      "loss": 0.8108,
+      "step": 21733
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1513359681758717e-06,
+      "loss": 0.6819,
+      "step": 21734
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1507457061056947e-06,
+      "loss": 0.7224,
+      "step": 21735
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1501555861434544e-06,
+      "loss": 0.7689,
+      "step": 21736
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.149565608298624e-06,
+      "loss": 0.7435,
+      "step": 21737
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1489757725806804e-06,
+      "loss": 0.6483,
+      "step": 21738
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1483860789990942e-06,
+      "loss": 0.7856,
+      "step": 21739
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1477965275633386e-06,
+      "loss": 0.8863,
+      "step": 21740
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.147207118282876e-06,
+      "loss": 0.775,
+      "step": 21741
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1466178511671732e-06,
+      "loss": 0.8329,
+      "step": 21742
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1460287262256963e-06,
+      "loss": 0.6729,
+      "step": 21743
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1454397434679022e-06,
+      "loss": 0.6887,
+      "step": 21744
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1448509029032495e-06,
+      "loss": 0.7578,
+      "step": 21745
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1442622045411955e-06,
+      "loss": 0.747,
+      "step": 21746
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1436736483911948e-06,
+      "loss": 0.7369,
+      "step": 21747
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1430852344626963e-06,
+      "loss": 0.8111,
+      "step": 21748
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.142496962765154e-06,
+      "loss": 0.7902,
+      "step": 21749
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1419088333080074e-06,
+      "loss": 0.6945,
+      "step": 21750
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1413208461007063e-06,
+      "loss": 0.5852,
+      "step": 21751
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1407330011526907e-06,
+      "loss": 0.742,
+      "step": 21752
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1401452984734051e-06,
+      "loss": 0.6853,
+      "step": 21753
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.139557738072281e-06,
+      "loss": 0.794,
+      "step": 21754
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1389703199587577e-06,
+      "loss": 0.7011,
+      "step": 21755
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1383830441422671e-06,
+      "loss": 0.6663,
+      "step": 21756
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1377959106322423e-06,
+      "loss": 0.7831,
+      "step": 21757
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1372089194381087e-06,
+      "loss": 0.7373,
+      "step": 21758
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1366220705692964e-06,
+      "loss": 0.7531,
+      "step": 21759
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1360353640352228e-06,
+      "loss": 0.8309,
+      "step": 21760
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1354487998453178e-06,
+      "loss": 0.716,
+      "step": 21761
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1348623780089962e-06,
+      "loss": 0.7114,
+      "step": 21762
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1342760985356772e-06,
+      "loss": 0.8217,
+      "step": 21763
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1336899614347707e-06,
+      "loss": 0.7181,
+      "step": 21764
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1331039667156973e-06,
+      "loss": 0.7219,
+      "step": 21765
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1325181143878617e-06,
+      "loss": 0.8452,
+      "step": 21766
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1319324044606762e-06,
+      "loss": 0.6955,
+      "step": 21767
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.131346836943541e-06,
+      "loss": 0.7009,
+      "step": 21768
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1307614118458631e-06,
+      "loss": 0.7373,
+      "step": 21769
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.130176129177043e-06,
+      "loss": 0.7556,
+      "step": 21770
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1295909889464817e-06,
+      "loss": 0.7211,
+      "step": 21771
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.129005991163572e-06,
+      "loss": 0.7394,
+      "step": 21772
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1284211358377094e-06,
+      "loss": 0.812,
+      "step": 21773
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1278364229782869e-06,
+      "loss": 0.7179,
+      "step": 21774
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1272518525946964e-06,
+      "loss": 0.7829,
+      "step": 21775
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1266674246963216e-06,
+      "loss": 0.9281,
+      "step": 21776
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1260831392925498e-06,
+      "loss": 0.7888,
+      "step": 21777
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1254989963927599e-06,
+      "loss": 0.6329,
+      "step": 21778
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1249149960063388e-06,
+      "loss": 0.7849,
+      "step": 21779
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1243311381426614e-06,
+      "loss": 0.7981,
+      "step": 21780
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1237474228111046e-06,
+      "loss": 0.7245,
+      "step": 21781
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1231638500210408e-06,
+      "loss": 0.7638,
+      "step": 21782
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1225804197818413e-06,
+      "loss": 0.619,
+      "step": 21783
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1219971321028766e-06,
+      "loss": 0.7874,
+      "step": 21784
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1214139869935147e-06,
+      "loss": 0.621,
+      "step": 21785
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.120830984463117e-06,
+      "loss": 0.7234,
+      "step": 21786
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1202481245210485e-06,
+      "loss": 0.847,
+      "step": 21787
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1196654071766689e-06,
+      "loss": 0.8876,
+      "step": 21788
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1190828324393333e-06,
+      "loss": 0.7504,
+      "step": 21789
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1185004003183996e-06,
+      "loss": 0.7562,
+      "step": 21790
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1179181108232196e-06,
+      "loss": 0.9041,
+      "step": 21791
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1173359639631476e-06,
+      "loss": 0.7412,
+      "step": 21792
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1167539597475273e-06,
+      "loss": 0.5801,
+      "step": 21793
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1161720981857082e-06,
+      "loss": 0.7345,
+      "step": 21794
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1155903792870303e-06,
+      "loss": 0.7391,
+      "step": 21795
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.115008803060842e-06,
+      "loss": 0.5888,
+      "step": 21796
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1144273695164764e-06,
+      "loss": 0.7541,
+      "step": 21797
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1138460786632743e-06,
+      "loss": 0.7573,
+      "step": 21798
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.113264930510568e-06,
+      "loss": 0.631,
+      "step": 21799
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1126839250676913e-06,
+      "loss": 0.7668,
+      "step": 21800
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1121030623439744e-06,
+      "loss": 0.6725,
+      "step": 21801
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1115223423487463e-06,
+      "loss": 0.6623,
+      "step": 21802
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.11094176509133e-06,
+      "loss": 0.7465,
+      "step": 21803
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1103613305810512e-06,
+      "loss": 0.7766,
+      "step": 21804
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.109781038827229e-06,
+      "loss": 0.8649,
+      "step": 21805
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1092008898391859e-06,
+      "loss": 0.7874,
+      "step": 21806
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1086208836262336e-06,
+      "loss": 0.6527,
+      "step": 21807
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1080410201976898e-06,
+      "loss": 0.7537,
+      "step": 21808
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.107461299562862e-06,
+      "loss": 0.7092,
+      "step": 21809
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1068817217310657e-06,
+      "loss": 0.8017,
+      "step": 21810
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1063022867116035e-06,
+      "loss": 0.8208,
+      "step": 21811
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1057229945137848e-06,
+      "loss": 0.753,
+      "step": 21812
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1051438451469055e-06,
+      "loss": 0.8537,
+      "step": 21813
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1045648386202735e-06,
+      "loss": 0.8716,
+      "step": 21814
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1039859749431814e-06,
+      "loss": 0.763,
+      "step": 21815
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1034072541249297e-06,
+      "loss": 0.7472,
+      "step": 21816
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1028286761748076e-06,
+      "loss": 0.7014,
+      "step": 21817
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1022502411021086e-06,
+      "loss": 0.771,
+      "step": 21818
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.101671948916121e-06,
+      "loss": 0.8093,
+      "step": 21819
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1010937996261329e-06,
+      "loss": 0.763,
+      "step": 21820
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1005157932414257e-06,
+      "loss": 0.6123,
+      "step": 21821
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.099937929771283e-06,
+      "loss": 0.6794,
+      "step": 21822
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0993602092249855e-06,
+      "loss": 0.7431,
+      "step": 21823
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0987826316118123e-06,
+      "loss": 0.775,
+      "step": 21824
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0982051969410334e-06,
+      "loss": 0.6708,
+      "step": 21825
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0976279052219262e-06,
+      "loss": 0.9166,
+      "step": 21826
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0970507564637579e-06,
+      "loss": 0.8714,
+      "step": 21827
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0964737506757983e-06,
+      "loss": 0.7494,
+      "step": 21828
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0958968878673137e-06,
+      "loss": 0.7721,
+      "step": 21829
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.095320168047569e-06,
+      "loss": 0.5704,
+      "step": 21830
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0947435912258231e-06,
+      "loss": 0.7736,
+      "step": 21831
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0941671574113355e-06,
+      "loss": 0.742,
+      "step": 21832
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0935908666133644e-06,
+      "loss": 0.8981,
+      "step": 21833
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0930147188411655e-06,
+      "loss": 0.8414,
+      "step": 21834
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.092438714103986e-06,
+      "loss": 0.8661,
+      "step": 21835
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0918628524110808e-06,
+      "loss": 0.7155,
+      "step": 21836
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0912871337716968e-06,
+      "loss": 0.6725,
+      "step": 21837
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0907115581950755e-06,
+      "loss": 0.7552,
+      "step": 21838
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.090136125690463e-06,
+      "loss": 0.7095,
+      "step": 21839
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0895608362671005e-06,
+      "loss": 0.7126,
+      "step": 21840
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0889856899342267e-06,
+      "loss": 0.7317,
+      "step": 21841
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0884106867010746e-06,
+      "loss": 0.6316,
+      "step": 21842
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.087835826576883e-06,
+      "loss": 0.8392,
+      "step": 21843
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0872611095708773e-06,
+      "loss": 0.759,
+      "step": 21844
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0866865356922907e-06,
+      "loss": 0.6271,
+      "step": 21845
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0861121049503487e-06,
+      "loss": 0.7195,
+      "step": 21846
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0855378173542786e-06,
+      "loss": 0.7422,
+      "step": 21847
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0849636729132994e-06,
+      "loss": 0.8544,
+      "step": 21848
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.084389671636632e-06,
+      "loss": 0.8337,
+      "step": 21849
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0838158135334942e-06,
+      "loss": 0.7046,
+      "step": 21850
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0832420986131044e-06,
+      "loss": 0.6836,
+      "step": 21851
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0826685268846704e-06,
+      "loss": 0.8264,
+      "step": 21852
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0820950983574064e-06,
+      "loss": 0.6534,
+      "step": 21853
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0815218130405203e-06,
+      "loss": 0.6576,
+      "step": 21854
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0809486709432204e-06,
+      "loss": 0.7741,
+      "step": 21855
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0803756720747072e-06,
+      "loss": 0.8577,
+      "step": 21856
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0798028164441854e-06,
+      "loss": 0.712,
+      "step": 21857
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0792301040608489e-06,
+      "loss": 0.7928,
+      "step": 21858
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0786575349339013e-06,
+      "loss": 0.698,
+      "step": 21859
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0780851090725342e-06,
+      "loss": 0.7798,
+      "step": 21860
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0775128264859413e-06,
+      "loss": 0.8136,
+      "step": 21861
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0769406871833088e-06,
+      "loss": 0.7482,
+      "step": 21862
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0763686911738313e-06,
+      "loss": 0.7134,
+      "step": 21863
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0757968384666894e-06,
+      "loss": 0.7616,
+      "step": 21864
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.075225129071068e-06,
+      "loss": 0.7628,
+      "step": 21865
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0746535629961473e-06,
+      "loss": 0.7819,
+      "step": 21866
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0740821402511049e-06,
+      "loss": 0.7833,
+      "step": 21867
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0735108608451195e-06,
+      "loss": 0.7997,
+      "step": 21868
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0729397247873663e-06,
+      "loss": 0.7911,
+      "step": 21869
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0723687320870125e-06,
+      "loss": 0.8167,
+      "step": 21870
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0717978827532293e-06,
+      "loss": 0.7511,
+      "step": 21871
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0712271767951853e-06,
+      "loss": 0.8618,
+      "step": 21872
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0706566142220464e-06,
+      "loss": 0.7557,
+      "step": 21873
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0700861950429708e-06,
+      "loss": 0.5831,
+      "step": 21874
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0695159192671234e-06,
+      "loss": 0.8018,
+      "step": 21875
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0689457869036579e-06,
+      "loss": 0.7085,
+      "step": 21876
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0683757979617316e-06,
+      "loss": 0.834,
+      "step": 21877
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.067805952450498e-06,
+      "loss": 0.8277,
+      "step": 21878
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.06723625037911e-06,
+      "loss": 0.7355,
+      "step": 21879
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0666666917567126e-06,
+      "loss": 0.6899,
+      "step": 21880
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0660972765924537e-06,
+      "loss": 0.8705,
+      "step": 21881
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0655280048954798e-06,
+      "loss": 0.7681,
+      "step": 21882
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0649588766749297e-06,
+      "loss": 0.6866,
+      "step": 21883
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0643898919399431e-06,
+      "loss": 0.7554,
+      "step": 21884
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.063821050699657e-06,
+      "loss": 0.8243,
+      "step": 21885
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0632523529632099e-06,
+      "loss": 0.8466,
+      "step": 21886
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0626837987397299e-06,
+      "loss": 0.7284,
+      "step": 21887
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0621153880383506e-06,
+      "loss": 0.8333,
+      "step": 21888
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.061547120868195e-06,
+      "loss": 0.8116,
+      "step": 21889
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0609789972383955e-06,
+      "loss": 0.6669,
+      "step": 21890
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0604110171580706e-06,
+      "loss": 0.7894,
+      "step": 21891
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.059843180636344e-06,
+      "loss": 0.7531,
+      "step": 21892
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.059275487682332e-06,
+      "loss": 0.7138,
+      "step": 21893
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0587079383051524e-06,
+      "loss": 0.7184,
+      "step": 21894
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0581405325139194e-06,
+      "loss": 0.7483,
+      "step": 21895
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0575732703177454e-06,
+      "loss": 0.7601,
+      "step": 21896
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.057006151725738e-06,
+      "loss": 0.8008,
+      "step": 21897
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0564391767470062e-06,
+      "loss": 0.6483,
+      "step": 21898
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0558723453906538e-06,
+      "loss": 0.7264,
+      "step": 21899
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.055305657665786e-06,
+      "loss": 0.799,
+      "step": 21900
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0547391135814989e-06,
+      "loss": 0.703,
+      "step": 21901
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0541727131468937e-06,
+      "loss": 0.7935,
+      "step": 21902
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0536064563710623e-06,
+      "loss": 0.8237,
+      "step": 21903
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0530403432631041e-06,
+      "loss": 0.9031,
+      "step": 21904
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0524743738321052e-06,
+      "loss": 0.6848,
+      "step": 21905
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0519085480871583e-06,
+      "loss": 0.8677,
+      "step": 21906
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0513428660373426e-06,
+      "loss": 0.7196,
+      "step": 21907
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.050777327691751e-06,
+      "loss": 0.7343,
+      "step": 21908
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0502119330594608e-06,
+      "loss": 0.8446,
+      "step": 21909
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0496466821495532e-06,
+      "loss": 0.789,
+      "step": 21910
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0490815749711014e-06,
+      "loss": 0.7035,
+      "step": 21911
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.048516611533187e-06,
+      "loss": 0.7544,
+      "step": 21912
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0479517918448767e-06,
+      "loss": 0.6094,
+      "step": 21913
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0473871159152448e-06,
+      "loss": 0.6924,
+      "step": 21914
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0468225837533563e-06,
+      "loss": 0.7719,
+      "step": 21915
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0462581953682771e-06,
+      "loss": 0.6905,
+      "step": 21916
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0456939507690721e-06,
+      "loss": 0.9366,
+      "step": 21917
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0451298499648043e-06,
+      "loss": 0.5841,
+      "step": 21918
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0445658929645275e-06,
+      "loss": 0.8498,
+      "step": 21919
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0440020797773009e-06,
+      "loss": 0.7183,
+      "step": 21920
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0434384104121809e-06,
+      "loss": 0.6494,
+      "step": 21921
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0428748848782145e-06,
+      "loss": 0.7172,
+      "step": 21922
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0423115031844534e-06,
+      "loss": 0.9548,
+      "step": 21923
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.041748265339947e-06,
+      "loss": 0.7382,
+      "step": 21924
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0411851713537358e-06,
+      "loss": 0.7911,
+      "step": 21925
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.040622221234865e-06,
+      "loss": 0.8732,
+      "step": 21926
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.040059414992377e-06,
+      "loss": 0.628,
+      "step": 21927
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.039496752635305e-06,
+      "loss": 0.8029,
+      "step": 21928
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0389342341726872e-06,
+      "loss": 0.819,
+      "step": 21929
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0383718596135561e-06,
+      "loss": 0.6281,
+      "step": 21930
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.037809628966946e-06,
+      "loss": 0.9139,
+      "step": 21931
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0372475422418816e-06,
+      "loss": 0.7849,
+      "step": 21932
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0366855994473913e-06,
+      "loss": 0.8151,
+      "step": 21933
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0361238005924956e-06,
+      "loss": 0.7265,
+      "step": 21934
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.035562145686223e-06,
+      "loss": 0.6363,
+      "step": 21935
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0350006347375874e-06,
+      "loss": 0.7364,
+      "step": 21936
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0344392677556091e-06,
+      "loss": 0.8344,
+      "step": 21937
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.033878044749299e-06,
+      "loss": 0.7312,
+      "step": 21938
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0333169657276754e-06,
+      "loss": 0.771,
+      "step": 21939
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.032756030699743e-06,
+      "loss": 0.6921,
+      "step": 21940
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.032195239674515e-06,
+      "loss": 0.7181,
+      "step": 21941
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0316345926609927e-06,
+      "loss": 0.8065,
+      "step": 21942
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0310740896681803e-06,
+      "loss": 0.7184,
+      "step": 21943
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0305137307050782e-06,
+      "loss": 0.8002,
+      "step": 21944
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0299535157806894e-06,
+      "loss": 0.7951,
+      "step": 21945
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0293934449040054e-06,
+      "loss": 0.847,
+      "step": 21946
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0288335180840215e-06,
+      "loss": 0.8731,
+      "step": 21947
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.028273735329729e-06,
+      "loss": 0.7781,
+      "step": 21948
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0277140966501209e-06,
+      "loss": 0.7056,
+      "step": 21949
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.027154602054179e-06,
+      "loss": 0.6591,
+      "step": 21950
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0265952515508925e-06,
+      "loss": 0.7273,
+      "step": 21951
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.026036045149239e-06,
+      "loss": 0.7061,
+      "step": 21952
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0254769828582046e-06,
+      "loss": 0.5252,
+      "step": 21953
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0249180646867629e-06,
+      "loss": 0.6793,
+      "step": 21954
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0243592906438916e-06,
+      "loss": 0.6901,
+      "step": 21955
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0238006607385597e-06,
+      "loss": 0.7338,
+      "step": 21956
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0232421749797462e-06,
+      "loss": 0.8007,
+      "step": 21957
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0226838333764111e-06,
+      "loss": 0.742,
+      "step": 21958
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0221256359375275e-06,
+      "loss": 0.6695,
+      "step": 21959
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.021567582672054e-06,
+      "loss": 0.7592,
+      "step": 21960
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0210096735889552e-06,
+      "loss": 0.7623,
+      "step": 21961
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0204519086971886e-06,
+      "loss": 0.7234,
+      "step": 21962
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.019894288005715e-06,
+      "loss": 0.7045,
+      "step": 21963
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0193368115234847e-06,
+      "loss": 0.801,
+      "step": 21964
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0187794792594507e-06,
+      "loss": 0.6607,
+      "step": 21965
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.018222291222567e-06,
+      "loss": 0.6778,
+      "step": 21966
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0176652474217763e-06,
+      "loss": 0.8485,
+      "step": 21967
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.017108347866027e-06,
+      "loss": 0.8155,
+      "step": 21968
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.01655159256426e-06,
+      "loss": 0.744,
+      "step": 21969
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.015994981525421e-06,
+      "loss": 0.7907,
+      "step": 21970
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0154385147584422e-06,
+      "loss": 0.7083,
+      "step": 21971
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0148821922722641e-06,
+      "loss": 0.8726,
+      "step": 21972
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0143260140758182e-06,
+      "loss": 0.6607,
+      "step": 21973
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0137699801780365e-06,
+      "loss": 0.6746,
+      "step": 21974
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0132140905878474e-06,
+      "loss": 0.8974,
+      "step": 21975
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0126583453141826e-06,
+      "loss": 0.7108,
+      "step": 21976
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0121027443659593e-06,
+      "loss": 0.8218,
+      "step": 21977
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0115472877521048e-06,
+      "loss": 0.662,
+      "step": 21978
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0109919754815377e-06,
+      "loss": 0.8573,
+      "step": 21979
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0104368075631764e-06,
+      "loss": 0.8927,
+      "step": 21980
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.009881784005935e-06,
+      "loss": 0.789,
+      "step": 21981
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.009326904818727e-06,
+      "loss": 0.6322,
+      "step": 21982
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0087721700104603e-06,
+      "loss": 0.8438,
+      "step": 21983
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0082175795900496e-06,
+      "loss": 0.7616,
+      "step": 21984
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0076631335663956e-06,
+      "loss": 0.6831,
+      "step": 21985
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0071088319484057e-06,
+      "loss": 0.6954,
+      "step": 21986
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.006554674744975e-06,
+      "loss": 0.7483,
+      "step": 21987
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0060006619650108e-06,
+      "loss": 0.7575,
+      "step": 21988
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.005446793617403e-06,
+      "loss": 0.8222,
+      "step": 21989
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0048930697110514e-06,
+      "loss": 0.7039,
+      "step": 21990
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0043394902548442e-06,
+      "loss": 0.758,
+      "step": 21991
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0037860552576729e-06,
+      "loss": 0.8024,
+      "step": 21992
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0032327647284234e-06,
+      "loss": 0.8363,
+      "step": 21993
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0026796186759847e-06,
+      "loss": 0.7025,
+      "step": 21994
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0021266171092348e-06,
+      "loss": 0.7079,
+      "step": 21995
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0015737600370568e-06,
+      "loss": 0.6936,
+      "step": 21996
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.001021047468329e-06,
+      "loss": 0.8102,
+      "step": 21997
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.000468479411928e-06,
+      "loss": 0.6609,
+      "step": 21998
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.999160558767251e-07,
+      "loss": 0.761,
+      "step": 21999
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.993637768715935e-07,
+      "loss": 0.6654,
+      "step": 22000
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.988116424053973e-07,
+      "loss": 0.8271,
+      "step": 22001
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.982596524870113e-07,
+      "loss": 0.701,
+      "step": 22002
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.977078071252944e-07,
+      "loss": 0.8012,
+      "step": 22003
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.971561063291102e-07,
+      "loss": 0.8836,
+      "step": 22004
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.966045501073162e-07,
+      "loss": 0.8254,
+      "step": 22005
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.96053138468772e-07,
+      "loss": 0.856,
+      "step": 22006
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.955018714223308e-07,
+      "loss": 0.7434,
+      "step": 22007
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.949507489768484e-07,
+      "loss": 0.9037,
+      "step": 22008
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.943997711411712e-07,
+      "loss": 0.8509,
+      "step": 22009
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.9384893792415e-07,
+      "loss": 0.6124,
+      "step": 22010
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.932982493346299e-07,
+      "loss": 0.6995,
+      "step": 22011
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.927477053814528e-07,
+      "loss": 0.6837,
+      "step": 22012
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.921973060734612e-07,
+      "loss": 0.8513,
+      "step": 22013
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.91647051419492e-07,
+      "loss": 0.7863,
+      "step": 22014
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.910969414283866e-07,
+      "loss": 0.8237,
+      "step": 22015
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.905469761089725e-07,
+      "loss": 0.8353,
+      "step": 22016
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.899971554700872e-07,
+      "loss": 0.8284,
+      "step": 22017
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.894474795205555e-07,
+      "loss": 0.7571,
+      "step": 22018
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.888979482692052e-07,
+      "loss": 0.8168,
+      "step": 22019
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.883485617248635e-07,
+      "loss": 0.6499,
+      "step": 22020
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.877993198963532e-07,
+      "loss": 0.7021,
+      "step": 22021
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.872502227924907e-07,
+      "loss": 0.7337,
+      "step": 22022
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.867012704220968e-07,
+      "loss": 0.9212,
+      "step": 22023
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.861524627939855e-07,
+      "loss": 0.7625,
+      "step": 22024
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.856037999169731e-07,
+      "loss": 0.8455,
+      "step": 22025
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.85055281799866e-07,
+      "loss": 0.8385,
+      "step": 22026
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.845069084514746e-07,
+      "loss": 0.7558,
+      "step": 22027
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.839586798806044e-07,
+      "loss": 0.6784,
+      "step": 22028
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.834105960960627e-07,
+      "loss": 0.8087,
+      "step": 22029
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.828626571066469e-07,
+      "loss": 0.9061,
+      "step": 22030
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.823148629211587e-07,
+      "loss": 0.9048,
+      "step": 22031
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.817672135483914e-07,
+      "loss": 0.6913,
+      "step": 22032
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.812197089971453e-07,
+      "loss": 0.8514,
+      "step": 22033
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.806723492762072e-07,
+      "loss": 0.7464,
+      "step": 22034
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.801251343943718e-07,
+      "loss": 0.7417,
+      "step": 22035
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.795780643604203e-07,
+      "loss": 0.7773,
+      "step": 22036
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.790311391831453e-07,
+      "loss": 0.6657,
+      "step": 22037
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.784843588713255e-07,
+      "loss": 0.7726,
+      "step": 22038
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.779377234337428e-07,
+      "loss": 0.6185,
+      "step": 22039
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.773912328791735e-07,
+      "loss": 0.8433,
+      "step": 22040
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.76844887216396e-07,
+      "loss": 0.8443,
+      "step": 22041
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.762986864541824e-07,
+      "loss": 0.6839,
+      "step": 22042
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.757526306013055e-07,
+      "loss": 0.7817,
+      "step": 22043
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.752067196665327e-07,
+      "loss": 0.8057,
+      "step": 22044
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.746609536586305e-07,
+      "loss": 0.7886,
+      "step": 22045
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.74115332586364e-07,
+      "loss": 0.6073,
+      "step": 22046
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.735698564584972e-07,
+      "loss": 0.6558,
+      "step": 22047
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.730245252837867e-07,
+      "loss": 0.8114,
+      "step": 22048
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.724793390709919e-07,
+      "loss": 0.8206,
+      "step": 22049
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.71934297828865e-07,
+      "loss": 0.6423,
+      "step": 22050
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.713894015661608e-07,
+      "loss": 0.789,
+      "step": 22051
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.70844650291629e-07,
+      "loss": 0.6899,
+      "step": 22052
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.703000440140199e-07,
+      "loss": 0.6365,
+      "step": 22053
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.697555827420756e-07,
+      "loss": 0.7086,
+      "step": 22054
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.69211266484541e-07,
+      "loss": 0.7979,
+      "step": 22055
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.686670952501586e-07,
+      "loss": 0.6963,
+      "step": 22056
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.681230690476651e-07,
+      "loss": 0.6634,
+      "step": 22057
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.675791878857966e-07,
+      "loss": 0.694,
+      "step": 22058
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.670354517732883e-07,
+      "loss": 0.6317,
+      "step": 22059
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.664918607188734e-07,
+      "loss": 0.7386,
+      "step": 22060
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.65948414731278e-07,
+      "loss": 0.7053,
+      "step": 22061
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.654051138192322e-07,
+      "loss": 0.7279,
+      "step": 22062
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.648619579914563e-07,
+      "loss": 0.7515,
+      "step": 22063
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.643189472566794e-07,
+      "loss": 0.6678,
+      "step": 22064
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.637760816236152e-07,
+      "loss": 0.7684,
+      "step": 22065
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.63233361100986e-07,
+      "loss": 0.7161,
+      "step": 22066
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.626907856975044e-07,
+      "loss": 0.7982,
+      "step": 22067
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.621483554218836e-07,
+      "loss": 0.6622,
+      "step": 22068
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.616060702828356e-07,
+      "loss": 0.8701,
+      "step": 22069
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.610639302890701e-07,
+      "loss": 0.7229,
+      "step": 22070
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.60521935449289e-07,
+      "loss": 0.836,
+      "step": 22071
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.599800857721986e-07,
+      "loss": 0.8246,
+      "step": 22072
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.59438381266501e-07,
+      "loss": 0.6574,
+      "step": 22073
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.588968219408967e-07,
+      "loss": 0.7425,
+      "step": 22074
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.583554078040769e-07,
+      "loss": 0.8543,
+      "step": 22075
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.57814138864742e-07,
+      "loss": 0.7283,
+      "step": 22076
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.57273015131579e-07,
+      "loss": 0.7572,
+      "step": 22077
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.567320366132826e-07,
+      "loss": 0.6191,
+      "step": 22078
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.56191203318536e-07,
+      "loss": 0.8673,
+      "step": 22079
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.556505152560292e-07,
+      "loss": 0.6633,
+      "step": 22080
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.55109972434437e-07,
+      "loss": 0.8131,
+      "step": 22081
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.545695748624484e-07,
+      "loss": 0.7581,
+      "step": 22082
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.540293225487363e-07,
+      "loss": 0.832,
+      "step": 22083
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.534892155019803e-07,
+      "loss": 0.7506,
+      "step": 22084
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.529492537308483e-07,
+      "loss": 0.7827,
+      "step": 22085
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.524094372440174e-07,
+      "loss": 0.7142,
+      "step": 22086
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.518697660501519e-07,
+      "loss": 0.8186,
+      "step": 22087
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.513302401579217e-07,
+      "loss": 0.8893,
+      "step": 22088
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.507908595759885e-07,
+      "loss": 0.8119,
+      "step": 22089
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.502516243130133e-07,
+      "loss": 0.8832,
+      "step": 22090
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.497125343776581e-07,
+      "loss": 0.6264,
+      "step": 22091
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.491735897785804e-07,
+      "loss": 0.6831,
+      "step": 22092
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.48634790524432e-07,
+      "loss": 0.7754,
+      "step": 22093
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.480961366238662e-07,
+      "loss": 0.8565,
+      "step": 22094
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.47557628085537e-07,
+      "loss": 0.76,
+      "step": 22095
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.470192649180853e-07,
+      "loss": 0.7047,
+      "step": 22096
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.46481047130161e-07,
+      "loss": 0.6564,
+      "step": 22097
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.459429747304094e-07,
+      "loss": 0.7851,
+      "step": 22098
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.454050477274646e-07,
+      "loss": 0.8291,
+      "step": 22099
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.448672661299696e-07,
+      "loss": 0.7428,
+      "step": 22100
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.443296299465609e-07,
+      "loss": 0.6591,
+      "step": 22101
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.437921391858696e-07,
+      "loss": 0.6601,
+      "step": 22102
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.432547938565285e-07,
+      "loss": 0.6623,
+      "step": 22103
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.427175939671662e-07,
+      "loss": 0.6538,
+      "step": 22104
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.421805395264127e-07,
+      "loss": 0.8412,
+      "step": 22105
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.416436305428867e-07,
+      "loss": 0.6604,
+      "step": 22106
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.411068670252144e-07,
+      "loss": 0.6815,
+      "step": 22107
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.405702489820135e-07,
+      "loss": 0.8605,
+      "step": 22108
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.400337764219036e-07,
+      "loss": 0.9212,
+      "step": 22109
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.394974493534981e-07,
+      "loss": 0.9578,
+      "step": 22110
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.38961267785411e-07,
+      "loss": 0.6813,
+      "step": 22111
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.384252317262487e-07,
+      "loss": 0.7449,
+      "step": 22112
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.378893411846257e-07,
+      "loss": 0.6027,
+      "step": 22113
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.373535961691427e-07,
+      "loss": 0.827,
+      "step": 22114
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.368179966884062e-07,
+      "loss": 0.5488,
+      "step": 22115
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.362825427510147e-07,
+      "loss": 0.7039,
+      "step": 22116
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.357472343655682e-07,
+      "loss": 0.6216,
+      "step": 22117
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.352120715406621e-07,
+      "loss": 0.783,
+      "step": 22118
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.346770542848937e-07,
+      "loss": 0.6775,
+      "step": 22119
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.341421826068508e-07,
+      "loss": 0.6122,
+      "step": 22120
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.336074565151232e-07,
+      "loss": 0.7813,
+      "step": 22121
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.330728760183006e-07,
+      "loss": 0.7513,
+      "step": 22122
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.325384411249672e-07,
+      "loss": 0.8248,
+      "step": 22123
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.320041518437017e-07,
+      "loss": 0.7372,
+      "step": 22124
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.314700081830896e-07,
+      "loss": 0.8163,
+      "step": 22125
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.309360101517007e-07,
+      "loss": 0.864,
+      "step": 22126
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.304021577581201e-07,
+      "loss": 0.8305,
+      "step": 22127
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.298684510109146e-07,
+      "loss": 0.8142,
+      "step": 22128
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.293348899186572e-07,
+      "loss": 0.7331,
+      "step": 22129
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.288014744899121e-07,
+      "loss": 0.7475,
+      "step": 22130
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.282682047332514e-07,
+      "loss": 0.7673,
+      "step": 22131
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.277350806572338e-07,
+      "loss": 0.6918,
+      "step": 22132
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.272021022704258e-07,
+      "loss": 0.821,
+      "step": 22133
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.266692695813806e-07,
+      "loss": 0.792,
+      "step": 22134
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.26136582598658e-07,
+      "loss": 0.6156,
+      "step": 22135
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.25604041330811e-07,
+      "loss": 0.7487,
+      "step": 22136
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.25071645786394e-07,
+      "loss": 0.6591,
+      "step": 22137
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.245393959739535e-07,
+      "loss": 0.747,
+      "step": 22138
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.240072919020371e-07,
+      "loss": 0.7541,
+      "step": 22139
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.234753335791913e-07,
+      "loss": 0.6932,
+      "step": 22140
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.229435210139604e-07,
+      "loss": 0.853,
+      "step": 22141
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.224118542148808e-07,
+      "loss": 0.7501,
+      "step": 22142
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.218803331904913e-07,
+      "loss": 0.7317,
+      "step": 22143
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.213489579493295e-07,
+      "loss": 0.6572,
+      "step": 22144
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.208177284999264e-07,
+      "loss": 0.9703,
+      "step": 22145
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.20286644850813e-07,
+      "loss": 0.8608,
+      "step": 22146
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.197557070105212e-07,
+      "loss": 0.7423,
+      "step": 22147
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.19224914987572e-07,
+      "loss": 0.8516,
+      "step": 22148
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.186942687904921e-07,
+      "loss": 0.7944,
+      "step": 22149
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.181637684278044e-07,
+      "loss": 0.7234,
+      "step": 22150
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.176334139080257e-07,
+      "loss": 0.7376,
+      "step": 22151
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.171032052396723e-07,
+      "loss": 0.847,
+      "step": 22152
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.165731424312596e-07,
+      "loss": 0.6225,
+      "step": 22153
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.160432254913032e-07,
+      "loss": 0.7256,
+      "step": 22154
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.155134544283062e-07,
+      "loss": 0.8303,
+      "step": 22155
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.149838292507829e-07,
+      "loss": 0.7063,
+      "step": 22156
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.144543499672309e-07,
+      "loss": 0.8188,
+      "step": 22157
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.139250165861613e-07,
+      "loss": 0.7566,
+      "step": 22158
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.133958291160683e-07,
+      "loss": 0.7091,
+      "step": 22159
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.12866787565454e-07,
+      "loss": 0.719,
+      "step": 22160
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.123378919428083e-07,
+      "loss": 0.8182,
+      "step": 22161
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.118091422566333e-07,
+      "loss": 0.7724,
+      "step": 22162
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.112805385154122e-07,
+      "loss": 0.6843,
+      "step": 22163
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.107520807276394e-07,
+      "loss": 0.7955,
+      "step": 22164
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.102237689017967e-07,
+      "loss": 0.6966,
+      "step": 22165
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.0969560304637e-07,
+      "loss": 0.8605,
+      "step": 22166
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.09167583169841e-07,
+      "loss": 0.832,
+      "step": 22167
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.08639709280692e-07,
+      "loss": 0.6834,
+      "step": 22168
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.08111981387394e-07,
+      "loss": 0.7609,
+      "step": 22169
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.075843994984257e-07,
+      "loss": 0.5716,
+      "step": 22170
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.070569636222582e-07,
+      "loss": 0.5595,
+      "step": 22171
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.065296737673634e-07,
+      "loss": 0.6848,
+      "step": 22172
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.060025299422059e-07,
+      "loss": 0.7369,
+      "step": 22173
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.054755321552533e-07,
+      "loss": 0.7805,
+      "step": 22174
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.049486804149655e-07,
+      "loss": 0.8232,
+      "step": 22175
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.044219747298078e-07,
+      "loss": 0.7372,
+      "step": 22176
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.038954151082336e-07,
+      "loss": 0.7886,
+      "step": 22177
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.033690015587038e-07,
+      "loss": 0.7233,
+      "step": 22178
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.028427340896639e-07,
+      "loss": 0.6022,
+      "step": 22179
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.02316612709575e-07,
+      "loss": 0.7376,
+      "step": 22180
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.017906374268804e-07,
+      "loss": 0.7244,
+      "step": 22181
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.012648082500275e-07,
+      "loss": 0.8278,
+      "step": 22182
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.007391251874598e-07,
+      "loss": 0.7679,
+      "step": 22183
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.002135882476193e-07,
+      "loss": 0.7963,
+      "step": 22184
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.99688197438946e-07,
+      "loss": 0.737,
+      "step": 22185
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.991629527698786e-07,
+      "loss": 0.7786,
+      "step": 22186
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.986378542488483e-07,
+      "loss": 0.8283,
+      "step": 22187
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.981129018842893e-07,
+      "loss": 0.6937,
+      "step": 22188
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.97588095684635e-07,
+      "loss": 0.8154,
+      "step": 22189
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.970634356583064e-07,
+      "loss": 0.6655,
+      "step": 22190
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.965389218137333e-07,
+      "loss": 0.7471,
+      "step": 22191
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.96014554159339e-07,
+      "loss": 0.8726,
+      "step": 22192
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.954903327035414e-07,
+      "loss": 0.7322,
+      "step": 22193
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.949662574547613e-07,
+      "loss": 0.8186,
+      "step": 22194
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.944423284214143e-07,
+      "loss": 0.77,
+      "step": 22195
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.939185456119126e-07,
+      "loss": 0.6359,
+      "step": 22196
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.933949090346683e-07,
+      "loss": 0.7181,
+      "step": 22197
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.928714186980913e-07,
+      "loss": 0.6392,
+      "step": 22198
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.923480746105884e-07,
+      "loss": 0.8495,
+      "step": 22199
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.918248767805615e-07,
+      "loss": 0.7791,
+      "step": 22200
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.91301825216413e-07,
+      "loss": 0.7029,
+      "step": 22201
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.907789199265449e-07,
+      "loss": 0.5389,
+      "step": 22202
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.902561609193539e-07,
+      "loss": 0.6818,
+      "step": 22203
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.89733548203231e-07,
+      "loss": 0.712,
+      "step": 22204
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.892110817865751e-07,
+      "loss": 0.7135,
+      "step": 22205
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.886887616777673e-07,
+      "loss": 0.6716,
+      "step": 22206
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.881665878852063e-07,
+      "loss": 0.7229,
+      "step": 22207
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.87644560417269e-07,
+      "loss": 0.7146,
+      "step": 22208
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.87122679282344e-07,
+      "loss": 0.8471,
+      "step": 22209
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.866009444888057e-07,
+      "loss": 0.6608,
+      "step": 22210
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.860793560450409e-07,
+      "loss": 0.7096,
+      "step": 22211
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.855579139594184e-07,
+      "loss": 0.7291,
+      "step": 22212
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.85036618240318e-07,
+      "loss": 0.6929,
+      "step": 22213
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.845154688961044e-07,
+      "loss": 0.7072,
+      "step": 22214
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.839944659351507e-07,
+      "loss": 0.6975,
+      "step": 22215
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.834736093658237e-07,
+      "loss": 0.7197,
+      "step": 22216
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.829528991964875e-07,
+      "loss": 0.8021,
+      "step": 22217
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.824323354355024e-07,
+      "loss": 0.6895,
+      "step": 22218
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.819119180912283e-07,
+      "loss": 0.8168,
+      "step": 22219
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.81391647172024e-07,
+      "loss": 0.7225,
+      "step": 22220
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.808715226862452e-07,
+      "loss": 0.7589,
+      "step": 22221
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.803515446422406e-07,
+      "loss": 0.7071,
+      "step": 22222
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.798317130483647e-07,
+      "loss": 0.7029,
+      "step": 22223
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.793120279129596e-07,
+      "loss": 0.7649,
+      "step": 22224
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.787924892443789e-07,
+      "loss": 0.6933,
+      "step": 22225
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.782730970509589e-07,
+      "loss": 0.8748,
+      "step": 22226
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.777538513410445e-07,
+      "loss": 0.6577,
+      "step": 22227
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.772347521229696e-07,
+      "loss": 0.6488,
+      "step": 22228
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.767157994050746e-07,
+      "loss": 0.581,
+      "step": 22229
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.761969931956915e-07,
+      "loss": 0.8212,
+      "step": 22230
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.756783335031538e-07,
+      "loss": 0.6736,
+      "step": 22231
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.751598203357858e-07,
+      "loss": 0.6267,
+      "step": 22232
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.746414537019177e-07,
+      "loss": 0.8121,
+      "step": 22233
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.741232336098749e-07,
+      "loss": 0.7483,
+      "step": 22234
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.736051600679763e-07,
+      "loss": 0.6739,
+      "step": 22235
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.73087233084542e-07,
+      "loss": 0.8401,
+      "step": 22236
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.725694526678907e-07,
+      "loss": 0.6988,
+      "step": 22237
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.720518188263382e-07,
+      "loss": 0.7348,
+      "step": 22238
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.715343315681945e-07,
+      "loss": 0.7037,
+      "step": 22239
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.710169909017718e-07,
+      "loss": 0.689,
+      "step": 22240
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.704997968353746e-07,
+      "loss": 0.5937,
+      "step": 22241
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.699827493773116e-07,
+      "loss": 0.6925,
+      "step": 22242
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.694658485358853e-07,
+      "loss": 0.7632,
+      "step": 22243
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.689490943193979e-07,
+      "loss": 0.6864,
+      "step": 22244
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.684324867361438e-07,
+      "loss": 0.7794,
+      "step": 22245
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.679160257944219e-07,
+      "loss": 0.6427,
+      "step": 22246
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.673997115025257e-07,
+      "loss": 0.7193,
+      "step": 22247
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.668835438687484e-07,
+      "loss": 0.8945,
+      "step": 22248
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.663675229013746e-07,
+      "loss": 0.7728,
+      "step": 22249
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.658516486086943e-07,
+      "loss": 0.664,
+      "step": 22250
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.653359209989887e-07,
+      "loss": 0.7168,
+      "step": 22251
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.648203400805444e-07,
+      "loss": 0.7609,
+      "step": 22252
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.643049058616371e-07,
+      "loss": 0.6592,
+      "step": 22253
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.637896183505467e-07,
+      "loss": 0.7132,
+      "step": 22254
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.632744775555435e-07,
+      "loss": 0.7748,
+      "step": 22255
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.627594834849073e-07,
+      "loss": 0.7957,
+      "step": 22256
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.622446361469017e-07,
+      "loss": 0.6857,
+      "step": 22257
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.617299355497988e-07,
+      "loss": 0.8836,
+      "step": 22258
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.612153817018598e-07,
+      "loss": 0.8482,
+      "step": 22259
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.607009746113526e-07,
+      "loss": 0.726,
+      "step": 22260
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.601867142865339e-07,
+      "loss": 0.8023,
+      "step": 22261
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.596726007356659e-07,
+      "loss": 0.7116,
+      "step": 22262
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.59158633967e-07,
+      "loss": 0.7634,
+      "step": 22263
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.586448139887927e-07,
+      "loss": 0.8318,
+      "step": 22264
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.581311408092952e-07,
+      "loss": 0.7967,
+      "step": 22265
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.576176144367576e-07,
+      "loss": 0.7953,
+      "step": 22266
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.571042348794234e-07,
+      "loss": 0.7715,
+      "step": 22267
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.565910021455393e-07,
+      "loss": 0.676,
+      "step": 22268
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.560779162433452e-07,
+      "loss": 0.7265,
+      "step": 22269
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.555649771810837e-07,
+      "loss": 0.7483,
+      "step": 22270
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.550521849669891e-07,
+      "loss": 0.7827,
+      "step": 22271
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.545395396092981e-07,
+      "loss": 0.7752,
+      "step": 22272
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.54027041116241e-07,
+      "loss": 0.7798,
+      "step": 22273
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.535146894960488e-07,
+      "loss": 0.7711,
+      "step": 22274
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.530024847569496e-07,
+      "loss": 0.9095,
+      "step": 22275
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.524904269071698e-07,
+      "loss": 0.7934,
+      "step": 22276
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.519785159549299e-07,
+      "loss": 0.7759,
+      "step": 22277
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.514667519084518e-07,
+      "loss": 0.8068,
+      "step": 22278
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.509551347759559e-07,
+      "loss": 0.8286,
+      "step": 22279
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.504436645656545e-07,
+      "loss": 0.7235,
+      "step": 22280
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.49932341285763e-07,
+      "loss": 0.7611,
+      "step": 22281
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.494211649444917e-07,
+      "loss": 0.8965,
+      "step": 22282
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.489101355500529e-07,
+      "loss": 0.7244,
+      "step": 22283
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.483992531106477e-07,
+      "loss": 0.8453,
+      "step": 22284
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.478885176344853e-07,
+      "loss": 0.8413,
+      "step": 22285
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.473779291297612e-07,
+      "loss": 0.6611,
+      "step": 22286
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.468674876046823e-07,
+      "loss": 0.8753,
+      "step": 22287
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.463571930674397e-07,
+      "loss": 0.8002,
+      "step": 22288
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.458470455262335e-07,
+      "loss": 0.7842,
+      "step": 22289
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.453370449892506e-07,
+      "loss": 0.6812,
+      "step": 22290
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.448271914646822e-07,
+      "loss": 0.8255,
+      "step": 22291
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.443174849607183e-07,
+      "loss": 0.8163,
+      "step": 22292
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.438079254855447e-07,
+      "loss": 0.7287,
+      "step": 22293
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.432985130473403e-07,
+      "loss": 0.7141,
+      "step": 22294
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.427892476542876e-07,
+      "loss": 0.7707,
+      "step": 22295
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.422801293145655e-07,
+      "loss": 0.7615,
+      "step": 22296
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.417711580363508e-07,
+      "loss": 0.6942,
+      "step": 22297
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.412623338278125e-07,
+      "loss": 0.7977,
+      "step": 22298
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.407536566971275e-07,
+      "loss": 0.725,
+      "step": 22299
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.402451266524581e-07,
+      "loss": 0.8579,
+      "step": 22300
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.397367437019777e-07,
+      "loss": 0.7734,
+      "step": 22301
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.392285078538453e-07,
+      "loss": 0.7631,
+      "step": 22302
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.387204191162246e-07,
+      "loss": 0.7877,
+      "step": 22303
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.38212477497271e-07,
+      "loss": 0.7236,
+      "step": 22304
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.377046830051494e-07,
+      "loss": 0.7703,
+      "step": 22305
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.371970356480064e-07,
+      "loss": 0.663,
+      "step": 22306
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.366895354339999e-07,
+      "loss": 0.8585,
+      "step": 22307
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.361821823712757e-07,
+      "loss": 0.8035,
+      "step": 22308
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.356749764679816e-07,
+      "loss": 0.7279,
+      "step": 22309
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.351679177322647e-07,
+      "loss": 0.8056,
+      "step": 22310
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.346610061722682e-07,
+      "loss": 0.6155,
+      "step": 22311
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.341542417961301e-07,
+      "loss": 0.7644,
+      "step": 22312
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.336476246119884e-07,
+      "loss": 0.6884,
+      "step": 22313
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.3314115462798e-07,
+      "loss": 0.7617,
+      "step": 22314
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.326348318522404e-07,
+      "loss": 0.6646,
+      "step": 22315
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.321286562928954e-07,
+      "loss": 0.8065,
+      "step": 22316
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.316226279580775e-07,
+      "loss": 0.671,
+      "step": 22317
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.311167468559122e-07,
+      "loss": 0.6002,
+      "step": 22318
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.30611012994521e-07,
+      "loss": 0.6514,
+      "step": 22319
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.301054263820274e-07,
+      "loss": 0.6401,
+      "step": 22320
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.295999870265514e-07,
+      "loss": 0.7498,
+      "step": 22321
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.290946949362078e-07,
+      "loss": 0.8299,
+      "step": 22322
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.28589550119111e-07,
+      "loss": 0.7244,
+      "step": 22323
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.280845525833747e-07,
+      "loss": 0.6201,
+      "step": 22324
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.275797023371058e-07,
+      "loss": 0.7161,
+      "step": 22325
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.270749993884142e-07,
+      "loss": 0.6245,
+      "step": 22326
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.265704437454025e-07,
+      "loss": 0.7708,
+      "step": 22327
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.260660354161776e-07,
+      "loss": 0.7817,
+      "step": 22328
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.25561774408834e-07,
+      "loss": 0.656,
+      "step": 22329
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.250576607314742e-07,
+      "loss": 0.7017,
+      "step": 22330
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.245536943921884e-07,
+      "loss": 0.7922,
+      "step": 22331
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.240498753990756e-07,
+      "loss": 0.7215,
+      "step": 22332
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.235462037602215e-07,
+      "loss": 0.7231,
+      "step": 22333
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.230426794837187e-07,
+      "loss": 0.7582,
+      "step": 22334
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.225393025776484e-07,
+      "loss": 0.6327,
+      "step": 22335
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.220360730500998e-07,
+      "loss": 0.7417,
+      "step": 22336
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.215329909091496e-07,
+      "loss": 0.8043,
+      "step": 22337
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.210300561628803e-07,
+      "loss": 0.7417,
+      "step": 22338
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.205272688193644e-07,
+      "loss": 0.8768,
+      "step": 22339
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.200246288866775e-07,
+      "loss": 0.8636,
+      "step": 22340
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.195221363728923e-07,
+      "loss": 0.7677,
+      "step": 22341
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.190197912860798e-07,
+      "loss": 0.8005,
+      "step": 22342
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.185175936343037e-07,
+      "loss": 0.8713,
+      "step": 22343
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.180155434256288e-07,
+      "loss": 0.6986,
+      "step": 22344
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.175136406681194e-07,
+      "loss": 0.6537,
+      "step": 22345
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.170118853698361e-07,
+      "loss": 0.8422,
+      "step": 22346
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.165102775388334e-07,
+      "loss": 0.5506,
+      "step": 22347
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.160088171831704e-07,
+      "loss": 0.711,
+      "step": 22348
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.155075043108928e-07,
+      "loss": 0.7781,
+      "step": 22349
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.150063389300611e-07,
+      "loss": 0.719,
+      "step": 22350
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.145053210487152e-07,
+      "loss": 0.6428,
+      "step": 22351
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.140044506749056e-07,
+      "loss": 0.8156,
+      "step": 22352
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.135037278166702e-07,
+      "loss": 0.7221,
+      "step": 22353
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.130031524820569e-07,
+      "loss": 0.7801,
+      "step": 22354
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.125027246791006e-07,
+      "loss": 0.807,
+      "step": 22355
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.120024444158381e-07,
+      "loss": 0.7278,
+      "step": 22356
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.115023117003029e-07,
+      "loss": 0.698,
+      "step": 22357
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.110023265405253e-07,
+      "loss": 0.6872,
+      "step": 22358
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.105024889445367e-07,
+      "loss": 0.7824,
+      "step": 22359
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.100027989203651e-07,
+      "loss": 0.9155,
+      "step": 22360
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.095032564760308e-07,
+      "loss": 0.7624,
+      "step": 22361
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.090038616195572e-07,
+      "loss": 0.6199,
+      "step": 22362
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.08504614358967e-07,
+      "loss": 0.7981,
+      "step": 22363
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.080055147022737e-07,
+      "loss": 0.7369,
+      "step": 22364
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.075065626574929e-07,
+      "loss": 0.7644,
+      "step": 22365
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.070077582326374e-07,
+      "loss": 0.7705,
+      "step": 22366
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.065091014357207e-07,
+      "loss": 0.8382,
+      "step": 22367
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.060105922747463e-07,
+      "loss": 0.8463,
+      "step": 22368
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.055122307577212e-07,
+      "loss": 0.623,
+      "step": 22369
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.050140168926479e-07,
+      "loss": 0.9178,
+      "step": 22370
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.045159506875266e-07,
+      "loss": 0.8223,
+      "step": 22371
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.040180321503577e-07,
+      "loss": 0.7592,
+      "step": 22372
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.035202612891368e-07,
+      "loss": 0.9969,
+      "step": 22373
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.030226381118555e-07,
+      "loss": 0.7823,
+      "step": 22374
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.025251626265063e-07,
+      "loss": 0.7536,
+      "step": 22375
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.02027834841077e-07,
+      "loss": 0.7856,
+      "step": 22376
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.015306547635571e-07,
+      "loss": 0.7092,
+      "step": 22377
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.010336224019278e-07,
+      "loss": 0.7187,
+      "step": 22378
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.005367377641715e-07,
+      "loss": 0.7806,
+      "step": 22379
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.000400008582654e-07,
+      "loss": 0.8256,
+      "step": 22380
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.995434116921919e-07,
+      "loss": 0.7164,
+      "step": 22381
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.990469702739212e-07,
+      "loss": 0.6689,
+      "step": 22382
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.98550676611427e-07,
+      "loss": 0.7982,
+      "step": 22383
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.980545307126763e-07,
+      "loss": 0.5839,
+      "step": 22384
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.975585325856427e-07,
+      "loss": 0.6773,
+      "step": 22385
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.970626822382866e-07,
+      "loss": 0.7318,
+      "step": 22386
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.965669796785725e-07,
+      "loss": 0.6235,
+      "step": 22387
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.960714249144586e-07,
+      "loss": 0.8454,
+      "step": 22388
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.955760179539052e-07,
+      "loss": 0.7958,
+      "step": 22389
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.95080758804867e-07,
+      "loss": 0.8153,
+      "step": 22390
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.945856474752989e-07,
+      "loss": 0.7685,
+      "step": 22391
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.940906839731477e-07,
+      "loss": 0.8452,
+      "step": 22392
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.93595868306366e-07,
+      "loss": 0.8145,
+      "step": 22393
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.931012004828975e-07,
+      "loss": 0.6228,
+      "step": 22394
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.92606680510688e-07,
+      "loss": 0.6837,
+      "step": 22395
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.921123083976768e-07,
+      "loss": 0.784,
+      "step": 22396
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.916180841518062e-07,
+      "loss": 0.8163,
+      "step": 22397
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.911240077810057e-07,
+      "loss": 0.7311,
+      "step": 22398
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.906300792932186e-07,
+      "loss": 0.7532,
+      "step": 22399
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.901362986963701e-07,
+      "loss": 0.7803,
+      "step": 22400
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.896426659983936e-07,
+      "loss": 0.7594,
+      "step": 22401
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.891491812072139e-07,
+      "loss": 0.7613,
+      "step": 22402
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.886558443307557e-07,
+      "loss": 0.7218,
+      "step": 22403
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.881626553769417e-07,
+      "loss": 0.6764,
+      "step": 22404
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.876696143536955e-07,
+      "loss": 0.7098,
+      "step": 22405
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.871767212689285e-07,
+      "loss": 0.7935,
+      "step": 22406
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.8668397613056e-07,
+      "loss": 0.6905,
+      "step": 22407
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.861913789465037e-07,
+      "loss": 0.8162,
+      "step": 22408
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.856989297246664e-07,
+      "loss": 0.7176,
+      "step": 22409
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.852066284729576e-07,
+      "loss": 0.8345,
+      "step": 22410
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.847144751992842e-07,
+      "loss": 0.7311,
+      "step": 22411
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.842224699115497e-07,
+      "loss": 0.7575,
+      "step": 22412
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.837306126176536e-07,
+      "loss": 0.8575,
+      "step": 22413
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.83238903325495e-07,
+      "loss": 0.8142,
+      "step": 22414
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.827473420429721e-07,
+      "loss": 0.7199,
+      "step": 22415
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.822559287779752e-07,
+      "loss": 0.8364,
+      "step": 22416
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.817646635383969e-07,
+      "loss": 0.761,
+      "step": 22417
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.812735463321297e-07,
+      "loss": 0.7168,
+      "step": 22418
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.807825771670552e-07,
+      "loss": 0.603,
+      "step": 22419
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.802917560510614e-07,
+      "loss": 0.8348,
+      "step": 22420
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.798010829920278e-07,
+      "loss": 0.7134,
+      "step": 22421
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.793105579978377e-07,
+      "loss": 0.6324,
+      "step": 22422
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.78820181076364e-07,
+      "loss": 0.7076,
+      "step": 22423
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.783299522354826e-07,
+      "loss": 0.7448,
+      "step": 22424
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.778398714830682e-07,
+      "loss": 0.8701,
+      "step": 22425
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.773499388269901e-07,
+      "loss": 0.6955,
+      "step": 22426
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.768601542751142e-07,
+      "loss": 0.6652,
+      "step": 22427
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.763705178353076e-07,
+      "loss": 0.7523,
+      "step": 22428
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.758810295154306e-07,
+      "loss": 0.7525,
+      "step": 22429
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.753916893233482e-07,
+      "loss": 0.8742,
+      "step": 22430
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.74902497266915e-07,
+      "loss": 0.7539,
+      "step": 22431
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.744134533539905e-07,
+      "loss": 0.6974,
+      "step": 22432
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.739245575924215e-07,
+      "loss": 0.7511,
+      "step": 22433
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.734358099900663e-07,
+      "loss": 0.8038,
+      "step": 22434
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.729472105547687e-07,
+      "loss": 0.7557,
+      "step": 22435
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.724587592943788e-07,
+      "loss": 0.6893,
+      "step": 22436
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.719704562167363e-07,
+      "loss": 0.743,
+      "step": 22437
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.714823013296857e-07,
+      "loss": 0.7566,
+      "step": 22438
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.709942946410642e-07,
+      "loss": 0.7258,
+      "step": 22439
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.705064361587122e-07,
+      "loss": 0.7302,
+      "step": 22440
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.700187258904601e-07,
+      "loss": 0.6849,
+      "step": 22441
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.695311638441416e-07,
+      "loss": 0.8621,
+      "step": 22442
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.69043750027586e-07,
+      "loss": 0.9295,
+      "step": 22443
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.685564844486215e-07,
+      "loss": 0.7508,
+      "step": 22444
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.680693671150718e-07,
+      "loss": 0.7174,
+      "step": 22445
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.675823980347607e-07,
+      "loss": 0.711,
+      "step": 22446
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.670955772155042e-07,
+      "loss": 0.7665,
+      "step": 22447
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.66608904665127e-07,
+      "loss": 0.9211,
+      "step": 22448
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.661223803914386e-07,
+      "loss": 0.8113,
+      "step": 22449
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.656360044022559e-07,
+      "loss": 0.7197,
+      "step": 22450
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.651497767053862e-07,
+      "loss": 0.8143,
+      "step": 22451
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.646636973086396e-07,
+      "loss": 0.6972,
+      "step": 22452
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.641777662198202e-07,
+      "loss": 0.7534,
+      "step": 22453
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.636919834467349e-07,
+      "loss": 0.8195,
+      "step": 22454
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.632063489971819e-07,
+      "loss": 0.8043,
+      "step": 22455
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.627208628789595e-07,
+      "loss": 0.8157,
+      "step": 22456
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.62235525099867e-07,
+      "loss": 0.8519,
+      "step": 22457
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.617503356676948e-07,
+      "loss": 0.7196,
+      "step": 22458
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.612652945902366e-07,
+      "loss": 0.7816,
+      "step": 22459
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.607804018752795e-07,
+      "loss": 0.8415,
+      "step": 22460
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.602956575306153e-07,
+      "loss": 0.6247,
+      "step": 22461
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.59811061564022e-07,
+      "loss": 0.715,
+      "step": 22462
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.593266139832856e-07,
+      "loss": 0.8425,
+      "step": 22463
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.588423147961843e-07,
+      "loss": 0.7068,
+      "step": 22464
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.583581640104942e-07,
+      "loss": 0.8198,
+      "step": 22465
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.578741616339925e-07,
+      "loss": 0.7858,
+      "step": 22466
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.573903076744527e-07,
+      "loss": 0.7278,
+      "step": 22467
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.569066021396409e-07,
+      "loss": 0.6263,
+      "step": 22468
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.564230450373267e-07,
+      "loss": 0.7386,
+      "step": 22469
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.559396363752747e-07,
+      "loss": 0.8754,
+      "step": 22470
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.554563761612521e-07,
+      "loss": 0.6286,
+      "step": 22471
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.549732644030127e-07,
+      "loss": 0.8249,
+      "step": 22472
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.544903011083205e-07,
+      "loss": 0.7094,
+      "step": 22473
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.540074862849256e-07,
+      "loss": 0.789,
+      "step": 22474
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.535248199405875e-07,
+      "loss": 0.7473,
+      "step": 22475
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.530423020830536e-07,
+      "loss": 0.7657,
+      "step": 22476
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.525599327200739e-07,
+      "loss": 0.7179,
+      "step": 22477
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.520777118593903e-07,
+      "loss": 0.8632,
+      "step": 22478
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.515956395087542e-07,
+      "loss": 0.7653,
+      "step": 22479
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.511137156759019e-07,
+      "loss": 0.691,
+      "step": 22480
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.506319403685758e-07,
+      "loss": 0.766,
+      "step": 22481
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.501503135945065e-07,
+      "loss": 0.8327,
+      "step": 22482
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.496688353614357e-07,
+      "loss": 0.8069,
+      "step": 22483
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.491875056770914e-07,
+      "loss": 0.7019,
+      "step": 22484
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.487063245492043e-07,
+      "loss": 0.8285,
+      "step": 22485
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.482252919855004e-07,
+      "loss": 0.7714,
+      "step": 22486
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.477444079937046e-07,
+      "loss": 0.7856,
+      "step": 22487
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.472636725815396e-07,
+      "loss": 0.9009,
+      "step": 22488
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.467830857567282e-07,
+      "loss": 0.6882,
+      "step": 22489
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.463026475269841e-07,
+      "loss": 0.8402,
+      "step": 22490
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.458223579000223e-07,
+      "loss": 0.7739,
+      "step": 22491
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.453422168835589e-07,
+      "loss": 0.7554,
+      "step": 22492
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.448622244853043e-07,
+      "loss": 0.661,
+      "step": 22493
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.443823807129624e-07,
+      "loss": 0.6451,
+      "step": 22494
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.439026855742437e-07,
+      "loss": 0.692,
+      "step": 22495
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.434231390768476e-07,
+      "loss": 0.7947,
+      "step": 22496
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.429437412284768e-07,
+      "loss": 0.6269,
+      "step": 22497
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.424644920368296e-07,
+      "loss": 0.7111,
+      "step": 22498
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.419853915096042e-07,
+      "loss": 0.6411,
+      "step": 22499
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.415064396544913e-07,
+      "loss": 0.8946,
+      "step": 22500
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.410276364791824e-07,
+      "loss": 0.7067,
+      "step": 22501
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.405489819913703e-07,
+      "loss": 0.7351,
+      "step": 22502
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.400704761987365e-07,
+      "loss": 0.7302,
+      "step": 22503
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.395921191089673e-07,
+      "loss": 0.8219,
+      "step": 22504
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.391139107297451e-07,
+      "loss": 0.773,
+      "step": 22505
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.386358510687508e-07,
+      "loss": 0.8181,
+      "step": 22506
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.381579401336581e-07,
+      "loss": 0.6172,
+      "step": 22507
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.376801779321441e-07,
+      "loss": 0.7374,
+      "step": 22508
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.372025644718772e-07,
+      "loss": 0.6602,
+      "step": 22509
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.367250997605324e-07,
+      "loss": 0.764,
+      "step": 22510
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.362477838057747e-07,
+      "loss": 0.7668,
+      "step": 22511
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.357706166152711e-07,
+      "loss": 0.6525,
+      "step": 22512
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.352935981966802e-07,
+      "loss": 0.7016,
+      "step": 22513
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.348167285576646e-07,
+      "loss": 0.7715,
+      "step": 22514
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.343400077058838e-07,
+      "loss": 0.6774,
+      "step": 22515
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.338634356489926e-07,
+      "loss": 0.6556,
+      "step": 22516
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.333870123946418e-07,
+      "loss": 0.7299,
+      "step": 22517
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.32910737950484e-07,
+      "loss": 0.8489,
+      "step": 22518
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.324346123241677e-07,
+      "loss": 0.7264,
+      "step": 22519
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.319586355233399e-07,
+      "loss": 0.7068,
+      "step": 22520
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.314828075556412e-07,
+      "loss": 0.7577,
+      "step": 22521
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.310071284287168e-07,
+      "loss": 0.8092,
+      "step": 22522
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.305315981501993e-07,
+      "loss": 0.7075,
+      "step": 22523
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.300562167277325e-07,
+      "loss": 0.6604,
+      "step": 22524
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.29580984168946e-07,
+      "loss": 0.7424,
+      "step": 22525
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.291059004814738e-07,
+      "loss": 0.7846,
+      "step": 22526
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.286309656729396e-07,
+      "loss": 0.9029,
+      "step": 22527
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.281561797509784e-07,
+      "loss": 0.8763,
+      "step": 22528
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.276815427232087e-07,
+      "loss": 0.7672,
+      "step": 22529
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.272070545972564e-07,
+      "loss": 0.7183,
+      "step": 22530
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.26732715380738e-07,
+      "loss": 0.7082,
+      "step": 22531
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.262585250812715e-07,
+      "loss": 0.754,
+      "step": 22532
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.257844837064732e-07,
+      "loss": 0.8322,
+      "step": 22533
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.253105912639557e-07,
+      "loss": 0.7523,
+      "step": 22534
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.248368477613265e-07,
+      "loss": 0.6561,
+      "step": 22535
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.243632532061962e-07,
+      "loss": 0.7731,
+      "step": 22536
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.238898076061685e-07,
+      "loss": 0.8005,
+      "step": 22537
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.234165109688485e-07,
+      "loss": 0.7873,
+      "step": 22538
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.229433633018335e-07,
+      "loss": 0.6616,
+      "step": 22539
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.224703646127229e-07,
+      "loss": 0.7544,
+      "step": 22540
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.219975149091141e-07,
+      "loss": 0.7147,
+      "step": 22541
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.215248141985986e-07,
+      "loss": 0.8719,
+      "step": 22542
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.210522624887672e-07,
+      "loss": 0.6984,
+      "step": 22543
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.205798597872116e-07,
+      "loss": 0.8217,
+      "step": 22544
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.201076061015144e-07,
+      "loss": 0.831,
+      "step": 22545
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.196355014392597e-07,
+      "loss": 0.7769,
+      "step": 22546
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.191635458080326e-07,
+      "loss": 0.7661,
+      "step": 22547
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.186917392154069e-07,
+      "loss": 0.687,
+      "step": 22548
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.182200816689622e-07,
+      "loss": 0.6425,
+      "step": 22549
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.177485731762712e-07,
+      "loss": 0.7834,
+      "step": 22550
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.172772137449091e-07,
+      "loss": 0.7229,
+      "step": 22551
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.16806003382442e-07,
+      "loss": 0.7494,
+      "step": 22552
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.163349420964394e-07,
+      "loss": 0.6449,
+      "step": 22553
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.158640298944608e-07,
+      "loss": 0.6744,
+      "step": 22554
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.153932667840757e-07,
+      "loss": 0.7451,
+      "step": 22555
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.149226527728393e-07,
+      "loss": 0.7852,
+      "step": 22556
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.144521878683108e-07,
+      "loss": 0.8735,
+      "step": 22557
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.139818720780423e-07,
+      "loss": 0.7858,
+      "step": 22558
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.135117054095919e-07,
+      "loss": 0.637,
+      "step": 22559
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.130416878705059e-07,
+      "loss": 0.7085,
+      "step": 22560
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.12571819468334e-07,
+      "loss": 0.7839,
+      "step": 22561
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.121021002106198e-07,
+      "loss": 0.773,
+      "step": 22562
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.116325301049076e-07,
+      "loss": 0.7241,
+      "step": 22563
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.111631091587368e-07,
+      "loss": 0.7904,
+      "step": 22564
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.106938373796501e-07,
+      "loss": 0.8702,
+      "step": 22565
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.102247147751773e-07,
+      "loss": 0.7177,
+      "step": 22566
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.097557413528555e-07,
+      "loss": 0.7888,
+      "step": 22567
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.092869171202155e-07,
+      "loss": 0.8123,
+      "step": 22568
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.088182420847867e-07,
+      "loss": 0.7332,
+      "step": 22569
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.083497162540931e-07,
+      "loss": 0.6707,
+      "step": 22570
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.07881339635661e-07,
+      "loss": 0.7991,
+      "step": 22571
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.074131122370076e-07,
+      "loss": 0.7056,
+      "step": 22572
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.069450340656592e-07,
+      "loss": 0.7227,
+      "step": 22573
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.064771051291275e-07,
+      "loss": 0.7226,
+      "step": 22574
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.060093254349287e-07,
+      "loss": 0.8372,
+      "step": 22575
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.055416949905714e-07,
+      "loss": 0.7116,
+      "step": 22576
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.050742138035716e-07,
+      "loss": 0.7109,
+      "step": 22577
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.0460688188143e-07,
+      "loss": 0.6597,
+      "step": 22578
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.041396992316563e-07,
+      "loss": 0.6875,
+      "step": 22579
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.036726658617499e-07,
+      "loss": 0.6816,
+      "step": 22580
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.032057817792104e-07,
+      "loss": 0.7381,
+      "step": 22581
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.027390469915363e-07,
+      "loss": 0.6263,
+      "step": 22582
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.022724615062249e-07,
+      "loss": 0.842,
+      "step": 22583
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.018060253307657e-07,
+      "loss": 0.7756,
+      "step": 22584
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.013397384726505e-07,
+      "loss": 0.8135,
+      "step": 22585
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.00873600939369e-07,
+      "loss": 0.8653,
+      "step": 22586
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.00407612738403e-07,
+      "loss": 0.6849,
+      "step": 22587
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.999417738772374e-07,
+      "loss": 0.6386,
+      "step": 22588
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.994760843633552e-07,
+      "loss": 0.7537,
+      "step": 22589
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.990105442042316e-07,
+      "loss": 0.7798,
+      "step": 22590
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.985451534073439e-07,
+      "loss": 0.7369,
+      "step": 22591
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.980799119801674e-07,
+      "loss": 0.6965,
+      "step": 22592
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.976148199301691e-07,
+      "loss": 0.7537,
+      "step": 22593
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.971498772648211e-07,
+      "loss": 0.7408,
+      "step": 22594
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.966850839915884e-07,
+      "loss": 0.7462,
+      "step": 22595
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.962204401179373e-07,
+      "loss": 0.7339,
+      "step": 22596
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.957559456513263e-07,
+      "loss": 0.8209,
+      "step": 22597
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.95291600599215e-07,
+      "loss": 0.7273,
+      "step": 22598
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.948274049690618e-07,
+      "loss": 0.8367,
+      "step": 22599
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.943633587683218e-07,
+      "loss": 0.824,
+      "step": 22600
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.938994620044448e-07,
+      "loss": 0.716,
+      "step": 22601
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.934357146848824e-07,
+      "loss": 0.7361,
+      "step": 22602
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.929721168170778e-07,
+      "loss": 0.7695,
+      "step": 22603
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.925086684084814e-07,
+      "loss": 0.764,
+      "step": 22604
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.920453694665308e-07,
+      "loss": 0.808,
+      "step": 22605
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.915822199986699e-07,
+      "loss": 0.791,
+      "step": 22606
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.911192200123318e-07,
+      "loss": 0.7243,
+      "step": 22607
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.906563695149571e-07,
+      "loss": 0.6994,
+      "step": 22608
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.901936685139743e-07,
+      "loss": 0.721,
+      "step": 22609
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.897311170168175e-07,
+      "loss": 0.7729,
+      "step": 22610
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.892687150309108e-07,
+      "loss": 0.7051,
+      "step": 22611
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.888064625636803e-07,
+      "loss": 0.7828,
+      "step": 22612
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.883443596225514e-07,
+      "loss": 0.5746,
+      "step": 22613
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.878824062149459e-07,
+      "loss": 0.9032,
+      "step": 22614
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.874206023482777e-07,
+      "loss": 0.8443,
+      "step": 22615
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.869589480299665e-07,
+      "loss": 0.7621,
+      "step": 22616
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.864974432674232e-07,
+      "loss": 0.6841,
+      "step": 22617
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.860360880680639e-07,
+      "loss": 0.7042,
+      "step": 22618
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.855748824392904e-07,
+      "loss": 0.6934,
+      "step": 22619
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.85113826388516e-07,
+      "loss": 0.8312,
+      "step": 22620
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.846529199231366e-07,
+      "loss": 0.8429,
+      "step": 22621
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.841921630505632e-07,
+      "loss": 0.7328,
+      "step": 22622
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.837315557781876e-07,
+      "loss": 0.7402,
+      "step": 22623
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.832710981134116e-07,
+      "loss": 0.6542,
+      "step": 22624
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.828107900636249e-07,
+      "loss": 0.7841,
+      "step": 22625
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.823506316362227e-07,
+      "loss": 0.735,
+      "step": 22626
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.818906228385924e-07,
+      "loss": 0.7956,
+      "step": 22627
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.814307636781248e-07,
+      "loss": 0.7301,
+      "step": 22628
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.809710541622017e-07,
+      "loss": 0.6943,
+      "step": 22629
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.80511494298205e-07,
+      "loss": 0.6494,
+      "step": 22630
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.800520840935176e-07,
+      "loss": 0.7767,
+      "step": 22631
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.795928235555127e-07,
+      "loss": 0.8496,
+      "step": 22632
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.791337126915687e-07,
+      "loss": 0.9106,
+      "step": 22633
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.786747515090574e-07,
+      "loss": 0.6916,
+      "step": 22634
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.782159400153521e-07,
+      "loss": 0.7396,
+      "step": 22635
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.777572782178155e-07,
+      "loss": 0.8667,
+      "step": 22636
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.772987661238161e-07,
+      "loss": 0.7827,
+      "step": 22637
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.768404037407162e-07,
+      "loss": 0.8721,
+      "step": 22638
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.763821910758761e-07,
+      "loss": 0.7267,
+      "step": 22639
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.759241281366558e-07,
+      "loss": 0.7143,
+      "step": 22640
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.754662149304115e-07,
+      "loss": 0.8105,
+      "step": 22641
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.750084514644939e-07,
+      "loss": 0.7613,
+      "step": 22642
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.745508377462551e-07,
+      "loss": 0.8205,
+      "step": 22643
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.740933737830446e-07,
+      "loss": 0.6507,
+      "step": 22644
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.7363605958221e-07,
+      "loss": 0.6263,
+      "step": 22645
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.731788951510932e-07,
+      "loss": 0.797,
+      "step": 22646
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.72721880497037e-07,
+      "loss": 0.6331,
+      "step": 22647
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.722650156273758e-07,
+      "loss": 0.7583,
+      "step": 22648
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.718083005494547e-07,
+      "loss": 0.7546,
+      "step": 22649
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.713517352706012e-07,
+      "loss": 0.6946,
+      "step": 22650
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.708953197981504e-07,
+      "loss": 0.7637,
+      "step": 22651
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.704390541394278e-07,
+      "loss": 0.7726,
+      "step": 22652
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.699829383017675e-07,
+      "loss": 0.9104,
+      "step": 22653
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.69526972292488e-07,
+      "loss": 0.7676,
+      "step": 22654
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.690711561189145e-07,
+      "loss": 0.6008,
+      "step": 22655
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.686154897883634e-07,
+      "loss": 0.6242,
+      "step": 22656
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.681599733081579e-07,
+      "loss": 0.8377,
+      "step": 22657
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.677046066856075e-07,
+      "loss": 0.7681,
+      "step": 22658
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.672493899280297e-07,
+      "loss": 0.6949,
+      "step": 22659
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.667943230427298e-07,
+      "loss": 0.6881,
+      "step": 22660
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.663394060370177e-07,
+      "loss": 0.7204,
+      "step": 22661
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.658846389181994e-07,
+      "loss": 0.8162,
+      "step": 22662
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.654300216935794e-07,
+      "loss": 0.744,
+      "step": 22663
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.649755543704539e-07,
+      "loss": 0.7858,
+      "step": 22664
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.645212369561249e-07,
+      "loss": 0.5172,
+      "step": 22665
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.640670694578855e-07,
+      "loss": 0.7423,
+      "step": 22666
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.63613051883033e-07,
+      "loss": 0.8549,
+      "step": 22667
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.631591842388529e-07,
+      "loss": 0.7989,
+      "step": 22668
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.627054665326394e-07,
+      "loss": 0.7108,
+      "step": 22669
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.622518987716742e-07,
+      "loss": 0.7917,
+      "step": 22670
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.617984809632416e-07,
+      "loss": 0.632,
+      "step": 22671
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.613452131146248e-07,
+      "loss": 0.7939,
+      "step": 22672
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.608920952331033e-07,
+      "loss": 0.7313,
+      "step": 22673
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.604391273259503e-07,
+      "loss": 0.8076,
+      "step": 22674
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.599863094004422e-07,
+      "loss": 0.6572,
+      "step": 22675
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.59533641463852e-07,
+      "loss": 0.8578,
+      "step": 22676
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.590811235234451e-07,
+      "loss": 0.7943,
+      "step": 22677
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.586287555864912e-07,
+      "loss": 0.8573,
+      "step": 22678
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.581765376602533e-07,
+      "loss": 0.6501,
+      "step": 22679
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.577244697519969e-07,
+      "loss": 0.8513,
+      "step": 22680
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.57272551868976e-07,
+      "loss": 0.6638,
+      "step": 22681
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.568207840184537e-07,
+      "loss": 0.7057,
+      "step": 22682
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.563691662076777e-07,
+      "loss": 0.6557,
+      "step": 22683
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.559176984439087e-07,
+      "loss": 0.7614,
+      "step": 22684
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.554663807343908e-07,
+      "loss": 0.7354,
+      "step": 22685
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.550152130863751e-07,
+      "loss": 0.8324,
+      "step": 22686
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.545641955071036e-07,
+      "loss": 0.7139,
+      "step": 22687
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.541133280038203e-07,
+      "loss": 0.7667,
+      "step": 22688
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.536626105837662e-07,
+      "loss": 0.6123,
+      "step": 22689
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.53212043254181e-07,
+      "loss": 0.7609,
+      "step": 22690
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.527616260222958e-07,
+      "loss": 0.694,
+      "step": 22691
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.523113588953466e-07,
+      "loss": 0.8034,
+      "step": 22692
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.518612418805637e-07,
+      "loss": 0.7099,
+      "step": 22693
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.514112749851764e-07,
+      "loss": 0.7684,
+      "step": 22694
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.509614582164081e-07,
+      "loss": 0.7232,
+      "step": 22695
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.505117915814863e-07,
+      "loss": 0.7767,
+      "step": 22696
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.500622750876251e-07,
+      "loss": 0.8706,
+      "step": 22697
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.496129087420511e-07,
+      "loss": 0.7191,
+      "step": 22698
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.491636925519762e-07,
+      "loss": 0.8602,
+      "step": 22699
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.487146265246169e-07,
+      "loss": 0.7848,
+      "step": 22700
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.482657106671785e-07,
+      "loss": 0.7178,
+      "step": 22701
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.478169449868787e-07,
+      "loss": 0.6815,
+      "step": 22702
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.473683294909172e-07,
+      "loss": 0.7793,
+      "step": 22703
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.469198641865038e-07,
+      "loss": 0.7219,
+      "step": 22704
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.464715490808349e-07,
+      "loss": 0.7207,
+      "step": 22705
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.460233841811125e-07,
+      "loss": 0.7426,
+      "step": 22706
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.455753694945332e-07,
+      "loss": 0.942,
+      "step": 22707
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.451275050282935e-07,
+      "loss": 0.7662,
+      "step": 22708
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.446797907895819e-07,
+      "loss": 0.7786,
+      "step": 22709
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.442322267855894e-07,
+      "loss": 0.6913,
+      "step": 22710
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.437848130235047e-07,
+      "loss": 0.7995,
+      "step": 22711
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.433375495105132e-07,
+      "loss": 0.7748,
+      "step": 22712
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.428904362537946e-07,
+      "loss": 0.7219,
+      "step": 22713
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.424434732605312e-07,
+      "loss": 0.7514,
+      "step": 22714
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.419966605379002e-07,
+      "loss": 0.9535,
+      "step": 22715
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.415499980930761e-07,
+      "loss": 0.7494,
+      "step": 22716
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.411034859332321e-07,
+      "loss": 0.8475,
+      "step": 22717
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.406571240655402e-07,
+      "loss": 0.7108,
+      "step": 22718
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.402109124971645e-07,
+      "loss": 0.7035,
+      "step": 22719
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.397648512352739e-07,
+      "loss": 0.7418,
+      "step": 22720
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.393189402870315e-07,
+      "loss": 0.72,
+      "step": 22721
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.388731796595971e-07,
+      "loss": 0.7494,
+      "step": 22722
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.384275693601293e-07,
+      "loss": 0.7853,
+      "step": 22723
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.379821093957838e-07,
+      "loss": 0.7787,
+      "step": 22724
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.375367997737147e-07,
+      "loss": 0.7231,
+      "step": 22725
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.37091640501073e-07,
+      "loss": 0.6922,
+      "step": 22726
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.366466315850062e-07,
+      "loss": 0.8336,
+      "step": 22727
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.362017730326609e-07,
+      "loss": 0.7417,
+      "step": 22728
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.357570648511846e-07,
+      "loss": 0.6846,
+      "step": 22729
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.353125070477129e-07,
+      "loss": 0.6786,
+      "step": 22730
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.348680996293899e-07,
+      "loss": 0.7335,
+      "step": 22731
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.344238426033478e-07,
+      "loss": 0.8514,
+      "step": 22732
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.339797359767253e-07,
+      "loss": 0.6294,
+      "step": 22733
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.335357797566499e-07,
+      "loss": 0.7833,
+      "step": 22734
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.33091973950255e-07,
+      "loss": 0.6813,
+      "step": 22735
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.326483185646648e-07,
+      "loss": 0.7392,
+      "step": 22736
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.322048136070036e-07,
+      "loss": 0.7993,
+      "step": 22737
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.317614590843945e-07,
+      "loss": 0.76,
+      "step": 22738
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.313182550039598e-07,
+      "loss": 0.6278,
+      "step": 22739
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.308752013728126e-07,
+      "loss": 0.7735,
+      "step": 22740
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.304322981980693e-07,
+      "loss": 0.8491,
+      "step": 22741
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.299895454868421e-07,
+      "loss": 0.7759,
+      "step": 22742
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.295469432462442e-07,
+      "loss": 0.7793,
+      "step": 22743
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.291044914833777e-07,
+      "loss": 0.7481,
+      "step": 22744
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.286621902053524e-07,
+      "loss": 0.7449,
+      "step": 22745
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.282200394192673e-07,
+      "loss": 0.6754,
+      "step": 22746
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.277780391322275e-07,
+      "loss": 0.6508,
+      "step": 22747
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.273361893513264e-07,
+      "loss": 0.8096,
+      "step": 22748
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.268944900836638e-07,
+      "loss": 0.6576,
+      "step": 22749
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.264529413363263e-07,
+      "loss": 0.8354,
+      "step": 22750
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.260115431164127e-07,
+      "loss": 0.7518,
+      "step": 22751
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.255702954310061e-07,
+      "loss": 0.7621,
+      "step": 22752
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.251291982871943e-07,
+      "loss": 0.7381,
+      "step": 22753
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.246882516920593e-07,
+      "loss": 0.9113,
+      "step": 22754
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.242474556526834e-07,
+      "loss": 0.6885,
+      "step": 22755
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.238068101761452e-07,
+      "loss": 0.7657,
+      "step": 22756
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.233663152695213e-07,
+      "loss": 0.6229,
+      "step": 22757
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.229259709398828e-07,
+      "loss": 0.8833,
+      "step": 22758
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.224857771943038e-07,
+      "loss": 0.8205,
+      "step": 22759
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.220457340398533e-07,
+      "loss": 0.8013,
+      "step": 22760
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.216058414835969e-07,
+      "loss": 0.7495,
+      "step": 22761
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.211660995325986e-07,
+      "loss": 0.739,
+      "step": 22762
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.207265081939218e-07,
+      "loss": 0.748,
+      "step": 22763
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.202870674746231e-07,
+      "loss": 0.7791,
+      "step": 22764
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.198477773817601e-07,
+      "loss": 0.7219,
+      "step": 22765
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.194086379223874e-07,
+      "loss": 0.7333,
+      "step": 22766
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.18969649103559e-07,
+      "loss": 0.8222,
+      "step": 22767
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.18530810932323e-07,
+      "loss": 0.7853,
+      "step": 22768
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.180921234157245e-07,
+      "loss": 0.6604,
+      "step": 22769
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.176535865608135e-07,
+      "loss": 0.7793,
+      "step": 22770
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.172152003746268e-07,
+      "loss": 0.7584,
+      "step": 22771
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.167769648642064e-07,
+      "loss": 0.7436,
+      "step": 22772
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.16338880036591e-07,
+      "loss": 0.7171,
+      "step": 22773
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.159009458988152e-07,
+      "loss": 0.6323,
+      "step": 22774
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.154631624579111e-07,
+      "loss": 0.7207,
+      "step": 22775
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.150255297209095e-07,
+      "loss": 0.7519,
+      "step": 22776
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.145880476948352e-07,
+      "loss": 0.804,
+      "step": 22777
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.1415071638672e-07,
+      "loss": 0.8456,
+      "step": 22778
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.137135358035806e-07,
+      "loss": 0.7039,
+      "step": 22779
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.132765059524426e-07,
+      "loss": 0.7143,
+      "step": 22780
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.12839626840318e-07,
+      "loss": 0.8064,
+      "step": 22781
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.124028984742292e-07,
+      "loss": 0.8727,
+      "step": 22782
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.119663208611848e-07,
+      "loss": 0.5984,
+      "step": 22783
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.115298940081993e-07,
+      "loss": 0.7686,
+      "step": 22784
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.110936179222782e-07,
+      "loss": 0.7597,
+      "step": 22785
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.106574926104281e-07,
+      "loss": 0.7006,
+      "step": 22786
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.102215180796533e-07,
+      "loss": 0.7902,
+      "step": 22787
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.097856943369562e-07,
+      "loss": 0.6758,
+      "step": 22788
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.093500213893333e-07,
+      "loss": 0.7089,
+      "step": 22789
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.089144992437812e-07,
+      "loss": 0.8754,
+      "step": 22790
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.084791279072955e-07,
+      "loss": 0.8394,
+      "step": 22791
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.080439073868671e-07,
+      "loss": 0.7457,
+      "step": 22792
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.07608837689484e-07,
+      "loss": 0.8255,
+      "step": 22793
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.071739188221349e-07,
+      "loss": 0.7241,
+      "step": 22794
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.067391507917997e-07,
+      "loss": 0.7369,
+      "step": 22795
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.063045336054674e-07,
+      "loss": 0.8663,
+      "step": 22796
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.058700672701101e-07,
+      "loss": 0.8514,
+      "step": 22797
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.054357517927112e-07,
+      "loss": 0.6259,
+      "step": 22798
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.050015871802384e-07,
+      "loss": 0.7416,
+      "step": 22799
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.045675734396694e-07,
+      "loss": 0.8237,
+      "step": 22800
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.041337105779721e-07,
+      "loss": 0.6322,
+      "step": 22801
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.036999986021141e-07,
+      "loss": 0.6438,
+      "step": 22802
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.032664375190588e-07,
+      "loss": 0.728,
+      "step": 22803
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.028330273357708e-07,
+      "loss": 0.7532,
+      "step": 22804
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.023997680592075e-07,
+      "loss": 0.6549,
+      "step": 22805
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.019666596963303e-07,
+      "loss": 0.7862,
+      "step": 22806
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.015337022540912e-07,
+      "loss": 0.8134,
+      "step": 22807
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.011008957394426e-07,
+      "loss": 0.7435,
+      "step": 22808
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.006682401593389e-07,
+      "loss": 0.8647,
+      "step": 22809
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.002357355207234e-07,
+      "loss": 0.7977,
+      "step": 22810
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.998033818305426e-07,
+      "loss": 0.926,
+      "step": 22811
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.993711790957423e-07,
+      "loss": 0.6932,
+      "step": 22812
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.989391273232603e-07,
+      "loss": 0.7552,
+      "step": 22813
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.985072265200354e-07,
+      "loss": 0.8764,
+      "step": 22814
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.980754766930052e-07,
+      "loss": 0.8932,
+      "step": 22815
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.976438778491001e-07,
+      "loss": 0.6603,
+      "step": 22816
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.97212429995252e-07,
+      "loss": 0.8263,
+      "step": 22817
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.967811331383899e-07,
+      "loss": 0.8327,
+      "step": 22818
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.963499872854417e-07,
+      "loss": 0.8311,
+      "step": 22819
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.959189924433284e-07,
+      "loss": 0.6599,
+      "step": 22820
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.954881486189734e-07,
+      "loss": 0.7504,
+      "step": 22821
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.9505745581929e-07,
+      "loss": 0.7582,
+      "step": 22822
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.946269140512028e-07,
+      "loss": 0.7442,
+      "step": 22823
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.941965233216207e-07,
+      "loss": 0.8553,
+      "step": 22824
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.937662836374569e-07,
+      "loss": 0.8229,
+      "step": 22825
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.933361950056183e-07,
+      "loss": 0.7057,
+      "step": 22826
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.929062574330147e-07,
+      "loss": 0.7717,
+      "step": 22827
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.924764709265473e-07,
+      "loss": 0.8004,
+      "step": 22828
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.920468354931219e-07,
+      "loss": 0.9108,
+      "step": 22829
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.916173511396328e-07,
+      "loss": 0.6812,
+      "step": 22830
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.911880178729812e-07,
+      "loss": 0.7785,
+      "step": 22831
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.907588357000604e-07,
+      "loss": 0.7429,
+      "step": 22832
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.903298046277628e-07,
+      "loss": 0.7985,
+      "step": 22833
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.899009246629761e-07,
+      "loss": 0.8178,
+      "step": 22834
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.894721958125882e-07,
+      "loss": 0.7965,
+      "step": 22835
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.890436180834857e-07,
+      "loss": 0.8995,
+      "step": 22836
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.886151914825522e-07,
+      "loss": 0.6732,
+      "step": 22837
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.881869160166632e-07,
+      "loss": 0.7698,
+      "step": 22838
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.877587916926986e-07,
+      "loss": 0.9,
+      "step": 22839
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.873308185175341e-07,
+      "loss": 0.6627,
+      "step": 22840
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.869029964980433e-07,
+      "loss": 0.7779,
+      "step": 22841
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.864753256410938e-07,
+      "loss": 0.8075,
+      "step": 22842
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.860478059535557e-07,
+      "loss": 0.7139,
+      "step": 22843
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.856204374422903e-07,
+      "loss": 0.7995,
+      "step": 22844
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.851932201141674e-07,
+      "loss": 0.863,
+      "step": 22845
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.84766153976043e-07,
+      "loss": 0.6975,
+      "step": 22846
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.843392390347768e-07,
+      "loss": 0.8114,
+      "step": 22847
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.839124752972225e-07,
+      "loss": 0.8693,
+      "step": 22848
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.834858627702355e-07,
+      "loss": 0.7438,
+      "step": 22849
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.83059401460665e-07,
+      "loss": 0.8322,
+      "step": 22850
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.826330913753631e-07,
+      "loss": 0.7776,
+      "step": 22851
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.822069325211699e-07,
+      "loss": 0.8208,
+      "step": 22852
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.817809249049333e-07,
+      "loss": 0.6937,
+      "step": 22853
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.813550685334957e-07,
+      "loss": 0.8382,
+      "step": 22854
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.809293634136903e-07,
+      "loss": 0.7104,
+      "step": 22855
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.805038095523574e-07,
+      "loss": 0.7256,
+      "step": 22856
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.800784069563304e-07,
+      "loss": 0.7942,
+      "step": 22857
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.796531556324414e-07,
+      "loss": 0.9036,
+      "step": 22858
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.792280555875174e-07,
+      "loss": 0.7303,
+      "step": 22859
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.788031068283872e-07,
+      "loss": 0.7026,
+      "step": 22860
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.783783093618711e-07,
+      "loss": 0.851,
+      "step": 22861
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.779536631947947e-07,
+      "loss": 0.769,
+      "step": 22862
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.775291683339757e-07,
+      "loss": 0.7387,
+      "step": 22863
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.77104824786232e-07,
+      "loss": 0.6371,
+      "step": 22864
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.766806325583763e-07,
+      "loss": 0.7661,
+      "step": 22865
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.762565916572216e-07,
+      "loss": 0.6329,
+      "step": 22866
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.758327020895782e-07,
+      "loss": 0.6766,
+      "step": 22867
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.754089638622529e-07,
+      "loss": 0.8404,
+      "step": 22868
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.74985376982049e-07,
+      "loss": 0.7983,
+      "step": 22869
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.745619414557713e-07,
+      "loss": 0.7034,
+      "step": 22870
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.741386572902141e-07,
+      "loss": 0.8711,
+      "step": 22871
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.737155244921833e-07,
+      "loss": 0.6458,
+      "step": 22872
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.732925430684666e-07,
+      "loss": 0.7481,
+      "step": 22873
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.72869713025861e-07,
+      "loss": 0.7292,
+      "step": 22874
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.72447034371153e-07,
+      "loss": 0.6948,
+      "step": 22875
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.720245071111341e-07,
+      "loss": 0.6906,
+      "step": 22876
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.716021312525866e-07,
+      "loss": 0.7234,
+      "step": 22877
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.71179906802296e-07,
+      "loss": 0.6195,
+      "step": 22878
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.707578337670394e-07,
+      "loss": 0.7906,
+      "step": 22879
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.703359121535967e-07,
+      "loss": 0.6167,
+      "step": 22880
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.699141419687437e-07,
+      "loss": 0.7838,
+      "step": 22881
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.694925232192538e-07,
+      "loss": 0.8277,
+      "step": 22882
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.69071055911895e-07,
+      "loss": 0.7854,
+      "step": 22883
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.686497400534385e-07,
+      "loss": 0.8238,
+      "step": 22884
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.682285756506489e-07,
+      "loss": 0.5731,
+      "step": 22885
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.678075627102908e-07,
+      "loss": 0.7056,
+      "step": 22886
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.673867012391221e-07,
+      "loss": 0.7619,
+      "step": 22887
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.669659912439041e-07,
+      "loss": 0.6819,
+      "step": 22888
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.665454327313913e-07,
+      "loss": 0.7907,
+      "step": 22889
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.661250257083395e-07,
+      "loss": 0.6959,
+      "step": 22890
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.657047701814978e-07,
+      "loss": 0.799,
+      "step": 22891
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.652846661576172e-07,
+      "loss": 0.7584,
+      "step": 22892
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.648647136434404e-07,
+      "loss": 0.7446,
+      "step": 22893
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.64444912645713e-07,
+      "loss": 0.7148,
+      "step": 22894
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.640252631711784e-07,
+      "loss": 0.665,
+      "step": 22895
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.636057652265747e-07,
+      "loss": 0.6133,
+      "step": 22896
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.631864188186364e-07,
+      "loss": 0.8303,
+      "step": 22897
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.627672239540993e-07,
+      "loss": 0.6061,
+      "step": 22898
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.623481806396958e-07,
+      "loss": 0.6791,
+      "step": 22899
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.619292888821537e-07,
+      "loss": 0.9806,
+      "step": 22900
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.615105486882011e-07,
+      "loss": 0.706,
+      "step": 22901
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.610919600645615e-07,
+      "loss": 0.7713,
+      "step": 22902
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.606735230179594e-07,
+      "loss": 0.696,
+      "step": 22903
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.602552375551107e-07,
+      "loss": 0.7522,
+      "step": 22904
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.598371036827355e-07,
+      "loss": 0.7467,
+      "step": 22905
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.59419121407544e-07,
+      "loss": 0.8231,
+      "step": 22906
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.590012907362552e-07,
+      "loss": 0.8051,
+      "step": 22907
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.585836116755739e-07,
+      "loss": 0.7709,
+      "step": 22908
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.581660842322101e-07,
+      "loss": 0.721,
+      "step": 22909
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.577487084128664e-07,
+      "loss": 0.8389,
+      "step": 22910
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.573314842242461e-07,
+      "loss": 0.6754,
+      "step": 22911
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.569144116730507e-07,
+      "loss": 0.6915,
+      "step": 22912
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.564974907659781e-07,
+      "loss": 0.7508,
+      "step": 22913
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.560807215097208e-07,
+      "loss": 0.7002,
+      "step": 22914
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.556641039109734e-07,
+      "loss": 0.8367,
+      "step": 22915
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.55247637976426e-07,
+      "loss": 0.7834,
+      "step": 22916
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.548313237127689e-07,
+      "loss": 0.7369,
+      "step": 22917
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.544151611266823e-07,
+      "loss": 0.7078,
+      "step": 22918
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.539991502248554e-07,
+      "loss": 0.7468,
+      "step": 22919
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.535832910139616e-07,
+      "loss": 0.6245,
+      "step": 22920
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.531675835006867e-07,
+      "loss": 0.6093,
+      "step": 22921
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.527520276917009e-07,
+      "loss": 0.8597,
+      "step": 22922
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.523366235936811e-07,
+      "loss": 0.7223,
+      "step": 22923
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.519213712132931e-07,
+      "loss": 0.816,
+      "step": 22924
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.515062705572116e-07,
+      "loss": 0.718,
+      "step": 22925
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.51091321632099e-07,
+      "loss": 0.7048,
+      "step": 22926
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.506765244446211e-07,
+      "loss": 0.6788,
+      "step": 22927
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.502618790014358e-07,
+      "loss": 0.7298,
+      "step": 22928
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.498473853092034e-07,
+      "loss": 0.7094,
+      "step": 22929
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.494330433745809e-07,
+      "loss": 0.7036,
+      "step": 22930
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.490188532042229e-07,
+      "loss": 0.7238,
+      "step": 22931
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.486048148047774e-07,
+      "loss": 0.8304,
+      "step": 22932
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.481909281828956e-07,
+      "loss": 0.8517,
+      "step": 22933
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.477771933452237e-07,
+      "loss": 0.8046,
+      "step": 22934
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.47363610298407e-07,
+      "loss": 0.6673,
+      "step": 22935
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.46950179049085e-07,
+      "loss": 0.8632,
+      "step": 22936
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.465368996038989e-07,
+      "loss": 0.7137,
+      "step": 22937
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.461237719694823e-07,
+      "loss": 0.7877,
+      "step": 22938
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.457107961524721e-07,
+      "loss": 0.6284,
+      "step": 22939
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.452979721594997e-07,
+      "loss": 0.7241,
+      "step": 22940
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.448852999971965e-07,
+      "loss": 0.8102,
+      "step": 22941
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.444727796721849e-07,
+      "loss": 0.7696,
+      "step": 22942
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.440604111910929e-07,
+      "loss": 0.6329,
+      "step": 22943
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.43648194560542e-07,
+      "loss": 0.7287,
+      "step": 22944
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.432361297871513e-07,
+      "loss": 0.7375,
+      "step": 22945
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.428242168775378e-07,
+      "loss": 0.9051,
+      "step": 22946
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.42412455838317e-07,
+      "loss": 0.7663,
+      "step": 22947
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.420008466761028e-07,
+      "loss": 0.7417,
+      "step": 22948
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.415893893975022e-07,
+      "loss": 0.8306,
+      "step": 22949
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.411780840091252e-07,
+      "loss": 0.7342,
+      "step": 22950
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.407669305175723e-07,
+      "loss": 0.7551,
+      "step": 22951
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.403559289294525e-07,
+      "loss": 0.7819,
+      "step": 22952
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.399450792513616e-07,
+      "loss": 0.6299,
+      "step": 22953
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.395343814899001e-07,
+      "loss": 0.8431,
+      "step": 22954
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.391238356516593e-07,
+      "loss": 0.8082,
+      "step": 22955
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.387134417432372e-07,
+      "loss": 0.7669,
+      "step": 22956
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.383031997712195e-07,
+      "loss": 0.7817,
+      "step": 22957
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.37893109742198e-07,
+      "loss": 0.7411,
+      "step": 22958
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.374831716627549e-07,
+      "loss": 0.7008,
+      "step": 22959
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.37073385539475e-07,
+      "loss": 0.6213,
+      "step": 22960
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.366637513789397e-07,
+      "loss": 0.7338,
+      "step": 22961
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.36254269187726e-07,
+      "loss": 0.765,
+      "step": 22962
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.358449389724097e-07,
+      "loss": 0.6162,
+      "step": 22963
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.354357607395644e-07,
+      "loss": 0.7231,
+      "step": 22964
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.350267344957605e-07,
+      "loss": 0.8465,
+      "step": 22965
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.346178602475693e-07,
+      "loss": 0.768,
+      "step": 22966
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.342091380015524e-07,
+      "loss": 0.757,
+      "step": 22967
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.338005677642776e-07,
+      "loss": 0.8325,
+      "step": 22968
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.333921495423e-07,
+      "loss": 0.7135,
+      "step": 22969
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.329838833421852e-07,
+      "loss": 0.8226,
+      "step": 22970
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.325757691704858e-07,
+      "loss": 0.923,
+      "step": 22971
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.321678070337566e-07,
+      "loss": 0.7671,
+      "step": 22972
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.317599969385456e-07,
+      "loss": 0.7612,
+      "step": 22973
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.313523388914088e-07,
+      "loss": 0.7047,
+      "step": 22974
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.309448328988865e-07,
+      "loss": 0.7523,
+      "step": 22975
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.305374789675255e-07,
+      "loss": 0.8099,
+      "step": 22976
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.301302771038663e-07,
+      "loss": 0.8005,
+      "step": 22977
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.297232273144481e-07,
+      "loss": 0.8676,
+      "step": 22978
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.293163296058079e-07,
+      "loss": 0.7683,
+      "step": 22979
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.289095839844816e-07,
+      "loss": 0.7759,
+      "step": 22980
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.285029904569972e-07,
+      "loss": 0.7022,
+      "step": 22981
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.280965490298873e-07,
+      "loss": 0.701,
+      "step": 22982
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.276902597096789e-07,
+      "loss": 0.6613,
+      "step": 22983
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.272841225028935e-07,
+      "loss": 0.8808,
+      "step": 22984
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.268781374160559e-07,
+      "loss": 0.7473,
+      "step": 22985
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.264723044556863e-07,
+      "loss": 0.6827,
+      "step": 22986
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.260666236282985e-07,
+      "loss": 0.795,
+      "step": 22987
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.256610949404106e-07,
+      "loss": 0.7951,
+      "step": 22988
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.25255718398533e-07,
+      "loss": 0.67,
+      "step": 22989
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.248504940091758e-07,
+      "loss": 0.6127,
+      "step": 22990
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.244454217788464e-07,
+      "loss": 0.92,
+      "step": 22991
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.240405017140504e-07,
+      "loss": 0.6953,
+      "step": 22992
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.236357338212905e-07,
+      "loss": 0.7331,
+      "step": 22993
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.23231118107066e-07,
+      "loss": 0.7479,
+      "step": 22994
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.228266545778737e-07,
+      "loss": 0.7579,
+      "step": 22995
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.224223432402098e-07,
+      "loss": 0.8536,
+      "step": 22996
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.220181841005689e-07,
+      "loss": 0.805,
+      "step": 22997
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.216141771654371e-07,
+      "loss": 0.7733,
+      "step": 22998
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.212103224413068e-07,
+      "loss": 0.8181,
+      "step": 22999
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.208066199346573e-07,
+      "loss": 0.9338,
+      "step": 23000
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.204030696519791e-07,
+      "loss": 0.7752,
+      "step": 23001
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.19999671599748e-07,
+      "loss": 0.7972,
+      "step": 23002
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.195964257844433e-07,
+      "loss": 0.9195,
+      "step": 23003
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.191933322125387e-07,
+      "loss": 0.8248,
+      "step": 23004
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.187903908905112e-07,
+      "loss": 0.9282,
+      "step": 23005
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.18387601824828e-07,
+      "loss": 0.6258,
+      "step": 23006
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.179849650219604e-07,
+      "loss": 0.7136,
+      "step": 23007
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.175824804883711e-07,
+      "loss": 0.6982,
+      "step": 23008
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.17180148230525e-07,
+      "loss": 0.7887,
+      "step": 23009
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.167779682548824e-07,
+      "loss": 0.6676,
+      "step": 23010
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.163759405679048e-07,
+      "loss": 0.7922,
+      "step": 23011
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.159740651760447e-07,
+      "loss": 0.8645,
+      "step": 23012
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.155723420857561e-07,
+      "loss": 0.7876,
+      "step": 23013
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.151707713034926e-07,
+      "loss": 0.6565,
+      "step": 23014
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.147693528357012e-07,
+      "loss": 0.6327,
+      "step": 23015
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.143680866888279e-07,
+      "loss": 0.675,
+      "step": 23016
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.139669728693176e-07,
+      "loss": 0.7455,
+      "step": 23017
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.135660113836083e-07,
+      "loss": 0.6987,
+      "step": 23018
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.13165202238145e-07,
+      "loss": 0.7274,
+      "step": 23019
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.127645454393593e-07,
+      "loss": 0.7353,
+      "step": 23020
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.123640409936881e-07,
+      "loss": 0.7238,
+      "step": 23021
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.119636889075608e-07,
+      "loss": 0.8437,
+      "step": 23022
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.115634891874066e-07,
+      "loss": 0.8631,
+      "step": 23023
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.111634418396538e-07,
+      "loss": 0.7101,
+      "step": 23024
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.107635468707273e-07,
+      "loss": 0.8259,
+      "step": 23025
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.103638042870462e-07,
+      "loss": 0.7643,
+      "step": 23026
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.099642140950301e-07,
+      "loss": 0.5932,
+      "step": 23027
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.095647763010981e-07,
+      "loss": 0.5759,
+      "step": 23028
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.09165490911665e-07,
+      "loss": 0.7956,
+      "step": 23029
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.087663579331403e-07,
+      "loss": 0.8207,
+      "step": 23030
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.083673773719344e-07,
+      "loss": 0.6737,
+      "step": 23031
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.079685492344555e-07,
+      "loss": 0.6602,
+      "step": 23032
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.075698735271073e-07,
+      "loss": 0.8255,
+      "step": 23033
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.071713502562913e-07,
+      "loss": 0.6954,
+      "step": 23034
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.067729794284104e-07,
+      "loss": 0.6719,
+      "step": 23035
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.063747610498571e-07,
+      "loss": 0.8017,
+      "step": 23036
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.059766951270307e-07,
+      "loss": 0.7285,
+      "step": 23037
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.055787816663216e-07,
+      "loss": 0.6052,
+      "step": 23038
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.051810206741192e-07,
+      "loss": 0.7038,
+      "step": 23039
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.047834121568129e-07,
+      "loss": 0.7639,
+      "step": 23040
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.043859561207853e-07,
+      "loss": 0.7491,
+      "step": 23041
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.039886525724236e-07,
+      "loss": 0.666,
+      "step": 23042
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.035915015181025e-07,
+      "loss": 0.7439,
+      "step": 23043
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.031945029642038e-07,
+      "loss": 0.7706,
+      "step": 23044
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.027976569170989e-07,
+      "loss": 0.6721,
+      "step": 23045
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.02400963383165e-07,
+      "loss": 0.7753,
+      "step": 23046
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.020044223687692e-07,
+      "loss": 0.7352,
+      "step": 23047
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.016080338802831e-07,
+      "loss": 0.8055,
+      "step": 23048
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.01211797924066e-07,
+      "loss": 0.6622,
+      "step": 23049
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.008157145064885e-07,
+      "loss": 0.7245,
+      "step": 23050
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.004197836339054e-07,
+      "loss": 0.7401,
+      "step": 23051
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.000240053126781e-07,
+      "loss": 0.7054,
+      "step": 23052
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.996283795491597e-07,
+      "loss": 0.7314,
+      "step": 23053
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.992329063497059e-07,
+      "loss": 0.7979,
+      "step": 23054
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.988375857206651e-07,
+      "loss": 0.7223,
+      "step": 23055
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.984424176683888e-07,
+      "loss": 0.7977,
+      "step": 23056
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.98047402199221e-07,
+      "loss": 0.7719,
+      "step": 23057
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.976525393195042e-07,
+      "loss": 0.8034,
+      "step": 23058
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.972578290355812e-07,
+      "loss": 0.6568,
+      "step": 23059
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.968632713537902e-07,
+      "loss": 0.7354,
+      "step": 23060
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.964688662804662e-07,
+      "loss": 0.789,
+      "step": 23061
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.960746138219441e-07,
+      "loss": 0.8518,
+      "step": 23062
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.956805139845533e-07,
+      "loss": 0.7886,
+      "step": 23063
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.952865667746265e-07,
+      "loss": 0.767,
+      "step": 23064
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.948927721984853e-07,
+      "loss": 0.8082,
+      "step": 23065
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.94499130262458e-07,
+      "loss": 0.6904,
+      "step": 23066
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.941056409728595e-07,
+      "loss": 0.8293,
+      "step": 23067
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.937123043360159e-07,
+      "loss": 0.7421,
+      "step": 23068
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.933191203582399e-07,
+      "loss": 0.7089,
+      "step": 23069
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.929260890458476e-07,
+      "loss": 0.8022,
+      "step": 23070
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.925332104051472e-07,
+      "loss": 0.7074,
+      "step": 23071
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.921404844424504e-07,
+      "loss": 0.8027,
+      "step": 23072
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.917479111640633e-07,
+      "loss": 0.7511,
+      "step": 23073
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.913554905762919e-07,
+      "loss": 0.8114,
+      "step": 23074
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.909632226854343e-07,
+      "loss": 0.8438,
+      "step": 23075
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.905711074977926e-07,
+      "loss": 0.6575,
+      "step": 23076
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.901791450196646e-07,
+      "loss": 0.8396,
+      "step": 23077
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.897873352573401e-07,
+      "loss": 0.719,
+      "step": 23078
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.893956782171161e-07,
+      "loss": 0.8266,
+      "step": 23079
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.890041739052786e-07,
+      "loss": 0.7596,
+      "step": 23080
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.886128223281173e-07,
+      "loss": 0.8893,
+      "step": 23081
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.882216234919157e-07,
+      "loss": 0.7052,
+      "step": 23082
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.878305774029557e-07,
+      "loss": 0.8522,
+      "step": 23083
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.874396840675166e-07,
+      "loss": 0.7327,
+      "step": 23084
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.870489434918768e-07,
+      "loss": 0.7212,
+      "step": 23085
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.86658355682309e-07,
+      "loss": 0.7525,
+      "step": 23086
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.862679206450904e-07,
+      "loss": 0.6489,
+      "step": 23087
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.858776383864849e-07,
+      "loss": 0.8499,
+      "step": 23088
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.854875089127631e-07,
+      "loss": 0.7157,
+      "step": 23089
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.850975322301898e-07,
+      "loss": 0.7896,
+      "step": 23090
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.84707708345028e-07,
+      "loss": 0.7384,
+      "step": 23091
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.843180372635358e-07,
+      "loss": 0.8052,
+      "step": 23092
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.83928518991974e-07,
+      "loss": 0.907,
+      "step": 23093
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.83539153536593e-07,
+      "loss": 0.7249,
+      "step": 23094
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.83149940903651e-07,
+      "loss": 0.7717,
+      "step": 23095
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.827608810993945e-07,
+      "loss": 0.8006,
+      "step": 23096
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.823719741300737e-07,
+      "loss": 0.6969,
+      "step": 23097
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.819832200019303e-07,
+      "loss": 0.6078,
+      "step": 23098
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.815946187212117e-07,
+      "loss": 0.6641,
+      "step": 23099
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.812061702941562e-07,
+      "loss": 0.9296,
+      "step": 23100
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.808178747270021e-07,
+      "loss": 0.7782,
+      "step": 23101
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.804297320259832e-07,
+      "loss": 0.7841,
+      "step": 23102
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.800417421973347e-07,
+      "loss": 0.8208,
+      "step": 23103
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.79653905247287e-07,
+      "loss": 0.736,
+      "step": 23104
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.792662211820687e-07,
+      "loss": 0.7437,
+      "step": 23105
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.788786900079034e-07,
+      "loss": 0.7822,
+      "step": 23106
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.784913117310153e-07,
+      "loss": 0.8488,
+      "step": 23107
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.781040863576258e-07,
+      "loss": 0.6676,
+      "step": 23108
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.777170138939546e-07,
+      "loss": 0.8056,
+      "step": 23109
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.773300943462156e-07,
+      "loss": 0.8238,
+      "step": 23110
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.769433277206226e-07,
+      "loss": 0.6936,
+      "step": 23111
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.765567140233851e-07,
+      "loss": 0.7306,
+      "step": 23112
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.7617025326071597e-07,
+      "loss": 0.7785,
+      "step": 23113
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.757839454388169e-07,
+      "loss": 0.8564,
+      "step": 23114
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.7539779056389404e-07,
+      "loss": 0.822,
+      "step": 23115
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.750117886421468e-07,
+      "loss": 0.7746,
+      "step": 23116
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.7462593967977475e-07,
+      "loss": 0.6955,
+      "step": 23117
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.7424024368297296e-07,
+      "loss": 0.8399,
+      "step": 23118
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.738547006579397e-07,
+      "loss": 0.7569,
+      "step": 23119
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.734693106108601e-07,
+      "loss": 0.7957,
+      "step": 23120
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.73084073547927e-07,
+      "loss": 0.8487,
+      "step": 23121
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.7269898947532644e-07,
+      "loss": 0.7189,
+      "step": 23122
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.723140583992414e-07,
+      "loss": 0.7964,
+      "step": 23123
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.719292803258524e-07,
+      "loss": 0.8222,
+      "step": 23124
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.715446552613401e-07,
+      "loss": 0.7517,
+      "step": 23125
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.711601832118828e-07,
+      "loss": 0.7454,
+      "step": 23126
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.7077586418365126e-07,
+      "loss": 0.775,
+      "step": 23127
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.703916981828194e-07,
+      "loss": 0.9151,
+      "step": 23128
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.700076852155533e-07,
+      "loss": 0.7002,
+      "step": 23129
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6962382528802476e-07,
+      "loss": 0.7573,
+      "step": 23130
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6924011840639327e-07,
+      "loss": 0.8781,
+      "step": 23131
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6885656457682505e-07,
+      "loss": 0.7563,
+      "step": 23132
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6847316380547513e-07,
+      "loss": 0.6453,
+      "step": 23133
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6808991609850307e-07,
+      "loss": 0.8773,
+      "step": 23134
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6770682146206283e-07,
+      "loss": 0.828,
+      "step": 23135
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.673238799023072e-07,
+      "loss": 0.759,
+      "step": 23136
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6694109142538467e-07,
+      "loss": 0.6162,
+      "step": 23137
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.665584560374414e-07,
+      "loss": 0.7766,
+      "step": 23138
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6617597374462366e-07,
+      "loss": 0.7621,
+      "step": 23139
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6579364455307527e-07,
+      "loss": 0.6827,
+      "step": 23140
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.654114684689315e-07,
+      "loss": 0.6029,
+      "step": 23141
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6502944549833397e-07,
+      "loss": 0.6618,
+      "step": 23142
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6464757564741223e-07,
+      "loss": 0.7364,
+      "step": 23143
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6426585892230593e-07,
+      "loss": 0.5901,
+      "step": 23144
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.638842953291389e-07,
+      "loss": 0.779,
+      "step": 23145
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6350288487404194e-07,
+      "loss": 0.6948,
+      "step": 23146
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.631216275631356e-07,
+      "loss": 0.6742,
+      "step": 23147
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.627405234025495e-07,
+      "loss": 0.724,
+      "step": 23148
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6235957239839755e-07,
+      "loss": 0.8723,
+      "step": 23149
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.619787745568005e-07,
+      "loss": 0.825,
+      "step": 23150
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.615981298838712e-07,
+      "loss": 0.6899,
+      "step": 23151
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6121763838572473e-07,
+      "loss": 0.8604,
+      "step": 23152
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6083730006846963e-07,
+      "loss": 0.7972,
+      "step": 23153
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.604571149382153e-07,
+      "loss": 0.7043,
+      "step": 23154
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.600770830010648e-07,
+      "loss": 0.6059,
+      "step": 23155
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.5969720426312204e-07,
+      "loss": 0.7973,
+      "step": 23156
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.593174787304877e-07,
+      "loss": 0.7847,
+      "step": 23157
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.5893790640926137e-07,
+      "loss": 0.567,
+      "step": 23158
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.5855848730553486e-07,
+      "loss": 0.6894,
+      "step": 23159
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.581792214254044e-07,
+      "loss": 0.8089,
+      "step": 23160
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.578001087749573e-07,
+      "loss": 0.6415,
+      "step": 23161
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.5742114936028315e-07,
+      "loss": 0.6104,
+      "step": 23162
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.570423431874693e-07,
+      "loss": 0.8719,
+      "step": 23163
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.566636902625976e-07,
+      "loss": 0.7568,
+      "step": 23164
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.562851905917476e-07,
+      "loss": 0.7809,
+      "step": 23165
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.5590684418099776e-07,
+      "loss": 0.7405,
+      "step": 23166
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.555286510364265e-07,
+      "loss": 0.7244,
+      "step": 23167
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.551506111641035e-07,
+      "loss": 0.672,
+      "step": 23168
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.547727245701028e-07,
+      "loss": 0.8296,
+      "step": 23169
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.5439499126048945e-07,
+      "loss": 0.9281,
+      "step": 23170
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.5401741124133315e-07,
+      "loss": 0.7537,
+      "step": 23171
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.536399845186945e-07,
+      "loss": 0.7539,
+      "step": 23172
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.532627110986365e-07,
+      "loss": 0.8454,
+      "step": 23173
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.5288559098721427e-07,
+      "loss": 0.7943,
+      "step": 23174
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.5250862419048856e-07,
+      "loss": 0.7563,
+      "step": 23175
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.5213181071450894e-07,
+      "loss": 0.7522,
+      "step": 23176
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.517551505653306e-07,
+      "loss": 0.7619,
+      "step": 23177
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.513786437489964e-07,
+      "loss": 0.7276,
+      "step": 23178
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.510022902715594e-07,
+      "loss": 0.8742,
+      "step": 23179
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.50626090139058e-07,
+      "loss": 0.8421,
+      "step": 23180
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.502500433575374e-07,
+      "loss": 0.7361,
+      "step": 23181
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.498741499330339e-07,
+      "loss": 0.6693,
+      "step": 23182
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4949840987158377e-07,
+      "loss": 0.7951,
+      "step": 23183
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4912282317922107e-07,
+      "loss": 0.6581,
+      "step": 23184
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4874738986198096e-07,
+      "loss": 0.7757,
+      "step": 23185
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4837210992588643e-07,
+      "loss": 0.6654,
+      "step": 23186
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4799698337696815e-07,
+      "loss": 0.6859,
+      "step": 23187
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.476220102212481e-07,
+      "loss": 0.697,
+      "step": 23188
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.472471904647502e-07,
+      "loss": 0.7649,
+      "step": 23189
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.468725241134908e-07,
+      "loss": 0.8601,
+      "step": 23190
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4649801117348957e-07,
+      "loss": 0.7575,
+      "step": 23191
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4612365165075724e-07,
+      "loss": 0.6574,
+      "step": 23192
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4574944555130895e-07,
+      "loss": 0.779,
+      "step": 23193
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4537539288115106e-07,
+      "loss": 0.8648,
+      "step": 23194
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4500149364629317e-07,
+      "loss": 0.6448,
+      "step": 23195
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.446277478527361e-07,
+      "loss": 0.7652,
+      "step": 23196
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.442541555064861e-07,
+      "loss": 0.6805,
+      "step": 23197
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.438807166135384e-07,
+      "loss": 0.8052,
+      "step": 23198
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.435074311798948e-07,
+      "loss": 0.7838,
+      "step": 23199
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4313429921154394e-07,
+      "loss": 0.6668,
+      "step": 23200
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.427613207144821e-07,
+      "loss": 0.7137,
+      "step": 23201
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4238849569469664e-07,
+      "loss": 0.8188,
+      "step": 23202
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4201582415817734e-07,
+      "loss": 0.6638,
+      "step": 23203
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.416433061109049e-07,
+      "loss": 0.7306,
+      "step": 23204
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.412709415588645e-07,
+      "loss": 0.7668,
+      "step": 23205
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.40898730508037e-07,
+      "loss": 0.7507,
+      "step": 23206
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4052667296439533e-07,
+      "loss": 0.68,
+      "step": 23207
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4015476893391695e-07,
+      "loss": 0.802,
+      "step": 23208
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3978301842257486e-07,
+      "loss": 0.8267,
+      "step": 23209
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3941142143633654e-07,
+      "loss": 0.6383,
+      "step": 23210
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.390399779811716e-07,
+      "loss": 0.7927,
+      "step": 23211
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.386686880630442e-07,
+      "loss": 0.6645,
+      "step": 23212
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3829755168791623e-07,
+      "loss": 0.7779,
+      "step": 23213
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3792656886174733e-07,
+      "loss": 0.8758,
+      "step": 23214
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.375557395904961e-07,
+      "loss": 0.6928,
+      "step": 23215
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3718506388011895e-07,
+      "loss": 0.8381,
+      "step": 23216
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3681454173656546e-07,
+      "loss": 0.7951,
+      "step": 23217
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.364441731657876e-07,
+      "loss": 0.7701,
+      "step": 23218
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3607395817373056e-07,
+      "loss": 0.7788,
+      "step": 23219
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.357038967663441e-07,
+      "loss": 0.7077,
+      "step": 23220
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.353339889495667e-07,
+      "loss": 0.7382,
+      "step": 23221
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3496423472934146e-07,
+      "loss": 0.7559,
+      "step": 23222
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.345946341116025e-07,
+      "loss": 0.7826,
+      "step": 23223
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3422518710229067e-07,
+      "loss": 0.7639,
+      "step": 23224
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.338558937073345e-07,
+      "loss": 0.8334,
+      "step": 23225
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3348675393266594e-07,
+      "loss": 0.7899,
+      "step": 23226
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3311776778421243e-07,
+      "loss": 0.726,
+      "step": 23227
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3274893526789816e-07,
+      "loss": 0.9134,
+      "step": 23228
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3238025638964843e-07,
+      "loss": 0.8506,
+      "step": 23229
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3201173115538507e-07,
+      "loss": 0.76,
+      "step": 23230
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.316433595710212e-07,
+      "loss": 0.9642,
+      "step": 23231
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3127514164247543e-07,
+      "loss": 0.7396,
+      "step": 23232
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.309070773756607e-07,
+      "loss": 0.7504,
+      "step": 23233
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.305391667764891e-07,
+      "loss": 0.6486,
+      "step": 23234
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.301714098508658e-07,
+      "loss": 0.7095,
+      "step": 23235
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2980380660469834e-07,
+      "loss": 0.7465,
+      "step": 23236
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2943635704388973e-07,
+      "loss": 0.747,
+      "step": 23237
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.29069061174342e-07,
+      "loss": 0.753,
+      "step": 23238
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2870191900195034e-07,
+      "loss": 0.7,
+      "step": 23239
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2833493053261343e-07,
+      "loss": 0.7659,
+      "step": 23240
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.27968095772221e-07,
+      "loss": 0.8387,
+      "step": 23241
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.276014147266694e-07,
+      "loss": 0.7698,
+      "step": 23242
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2723488740184285e-07,
+      "loss": 0.71,
+      "step": 23243
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2686851380362994e-07,
+      "loss": 0.5759,
+      "step": 23244
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2650229393791156e-07,
+      "loss": 0.835,
+      "step": 23245
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.261362278105707e-07,
+      "loss": 0.8024,
+      "step": 23246
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2577031542748393e-07,
+      "loss": 0.7123,
+      "step": 23247
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.254045567945309e-07,
+      "loss": 0.7718,
+      "step": 23248
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.250389519175824e-07,
+      "loss": 0.6408,
+      "step": 23249
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2467350080250934e-07,
+      "loss": 0.7283,
+      "step": 23250
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2430820345518265e-07,
+      "loss": 0.6646,
+      "step": 23251
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2394305988146643e-07,
+      "loss": 0.7769,
+      "step": 23252
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.235780700872238e-07,
+      "loss": 0.6769,
+      "step": 23253
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2321323407831907e-07,
+      "loss": 0.7127,
+      "step": 23254
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.228485518606096e-07,
+      "loss": 0.7905,
+      "step": 23255
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2248402343995076e-07,
+      "loss": 0.8384,
+      "step": 23256
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.22119648822199e-07,
+      "loss": 0.7441,
+      "step": 23257
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2175542801320193e-07,
+      "loss": 0.7116,
+      "step": 23258
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.213913610188103e-07,
+      "loss": 0.8013,
+      "step": 23259
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.210274478448717e-07,
+      "loss": 0.8626,
+      "step": 23260
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.206636884972293e-07,
+      "loss": 0.7288,
+      "step": 23261
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2030008298172384e-07,
+      "loss": 0.7457,
+      "step": 23262
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1993663130419526e-07,
+      "loss": 0.7541,
+      "step": 23263
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.195733334704788e-07,
+      "loss": 0.6652,
+      "step": 23264
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.19210189486412e-07,
+      "loss": 0.7331,
+      "step": 23265
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.188471993578225e-07,
+      "loss": 0.8932,
+      "step": 23266
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.184843630905422e-07,
+      "loss": 0.769,
+      "step": 23267
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1812168069039426e-07,
+      "loss": 0.7811,
+      "step": 23268
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1775915216320853e-07,
+      "loss": 0.804,
+      "step": 23269
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1739677751480135e-07,
+      "loss": 0.8251,
+      "step": 23270
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.17034556750997e-07,
+      "loss": 0.629,
+      "step": 23271
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1667248987760534e-07,
+      "loss": 0.6832,
+      "step": 23272
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.163105769004483e-07,
+      "loss": 0.5264,
+      "step": 23273
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1594881782533235e-07,
+      "loss": 0.7681,
+      "step": 23274
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.155872126580718e-07,
+      "loss": 0.8099,
+      "step": 23275
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1522576140446747e-07,
+      "loss": 0.7759,
+      "step": 23276
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.148644640703281e-07,
+      "loss": 0.6968,
+      "step": 23277
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.145033206614546e-07,
+      "loss": 0.714,
+      "step": 23278
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1414233118364787e-07,
+      "loss": 0.7734,
+      "step": 23279
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.137814956427011e-07,
+      "loss": 0.8112,
+      "step": 23280
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.134208140444129e-07,
+      "loss": 0.7851,
+      "step": 23281
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.130602863945732e-07,
+      "loss": 0.6867,
+      "step": 23282
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.126999126989728e-07,
+      "loss": 0.8048,
+      "step": 23283
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1233969296339716e-07,
+      "loss": 0.713,
+      "step": 23284
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1197962719363383e-07,
+      "loss": 0.761,
+      "step": 23285
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.116197153954604e-07,
+      "loss": 0.6884,
+      "step": 23286
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.112599575746623e-07,
+      "loss": 0.8012,
+      "step": 23287
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1090035373701154e-07,
+      "loss": 0.8431,
+      "step": 23288
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.105409038882879e-07,
+      "loss": 0.743,
+      "step": 23289
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.101816080342591e-07,
+      "loss": 0.7477,
+      "step": 23290
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.098224661806971e-07,
+      "loss": 0.6943,
+      "step": 23291
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0946347833336954e-07,
+      "loss": 0.7642,
+      "step": 23292
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0910464449804176e-07,
+      "loss": 0.7234,
+      "step": 23293
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.087459646804737e-07,
+      "loss": 0.9187,
+      "step": 23294
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.083874388864273e-07,
+      "loss": 0.7447,
+      "step": 23295
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0802906712166134e-07,
+      "loss": 0.742,
+      "step": 23296
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.076708493919279e-07,
+      "loss": 0.9196,
+      "step": 23297
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.073127857029802e-07,
+      "loss": 0.6406,
+      "step": 23298
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0695487606056903e-07,
+      "loss": 0.8185,
+      "step": 23299
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.065971204704433e-07,
+      "loss": 0.6864,
+      "step": 23300
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.06239518938345e-07,
+      "loss": 0.6855,
+      "step": 23301
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0588207147001845e-07,
+      "loss": 0.6276,
+      "step": 23302
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.055247780712035e-07,
+      "loss": 0.7342,
+      "step": 23303
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0516763874763996e-07,
+      "loss": 0.6281,
+      "step": 23304
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.048106535050589e-07,
+      "loss": 0.7813,
+      "step": 23305
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0445382234919674e-07,
+      "loss": 0.6783,
+      "step": 23306
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0409714528578224e-07,
+      "loss": 0.9196,
+      "step": 23307
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.03740622320542e-07,
+      "loss": 0.7661,
+      "step": 23308
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0338425345920364e-07,
+      "loss": 0.7019,
+      "step": 23309
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.030280387074892e-07,
+      "loss": 0.7707,
+      "step": 23310
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.026719780711175e-07,
+      "loss": 0.8424,
+      "step": 23311
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.023160715558083e-07,
+      "loss": 0.7813,
+      "step": 23312
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0196031916727606e-07,
+      "loss": 0.6074,
+      "step": 23313
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0160472091123616e-07,
+      "loss": 0.8939,
+      "step": 23314
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.012492767933951e-07,
+      "loss": 0.6886,
+      "step": 23315
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.008939868194639e-07,
+      "loss": 0.786,
+      "step": 23316
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.005388509951447e-07,
+      "loss": 0.656,
+      "step": 23317
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0018386932614504e-07,
+      "loss": 0.7522,
+      "step": 23318
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9982904181816163e-07,
+      "loss": 0.6606,
+      "step": 23319
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9947436847689536e-07,
+      "loss": 0.755,
+      "step": 23320
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.991198493080384e-07,
+      "loss": 0.6375,
+      "step": 23321
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9876548431728943e-07,
+      "loss": 0.8469,
+      "step": 23322
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9841127351033295e-07,
+      "loss": 0.7503,
+      "step": 23323
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9805721689286205e-07,
+      "loss": 0.6446,
+      "step": 23324
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9770331447055886e-07,
+      "loss": 0.7466,
+      "step": 23325
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.973495662491089e-07,
+      "loss": 0.7027,
+      "step": 23326
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9699597223419097e-07,
+      "loss": 0.8824,
+      "step": 23327
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.96642532431486e-07,
+      "loss": 0.7392,
+      "step": 23328
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9628924684666727e-07,
+      "loss": 0.7902,
+      "step": 23329
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.959361154854091e-07,
+      "loss": 0.8332,
+      "step": 23330
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9558313835338257e-07,
+      "loss": 0.7128,
+      "step": 23331
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.952303154562576e-07,
+      "loss": 0.8089,
+      "step": 23332
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.948776467996962e-07,
+      "loss": 0.7846,
+      "step": 23333
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9452513238936505e-07,
+      "loss": 0.8601,
+      "step": 23334
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.94172772230923e-07,
+      "loss": 0.5878,
+      "step": 23335
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9382056633002876e-07,
+      "loss": 0.7391,
+      "step": 23336
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9346851469234006e-07,
+      "loss": 0.7335,
+      "step": 23337
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.931166173235101e-07,
+      "loss": 0.7345,
+      "step": 23338
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.927648742291879e-07,
+      "loss": 0.6911,
+      "step": 23339
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.924132854150231e-07,
+      "loss": 0.7678,
+      "step": 23340
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9206185088666246e-07,
+      "loss": 0.8057,
+      "step": 23341
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9171057064975035e-07,
+      "loss": 0.7767,
+      "step": 23342
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.913594447099245e-07,
+      "loss": 0.827,
+      "step": 23343
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9100847307282696e-07,
+      "loss": 0.7641,
+      "step": 23344
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.906576557440922e-07,
+      "loss": 0.8614,
+      "step": 23345
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9030699272935455e-07,
+      "loss": 0.7177,
+      "step": 23346
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8995648403424404e-07,
+      "loss": 0.6751,
+      "step": 23347
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.896061296643905e-07,
+      "loss": 0.6699,
+      "step": 23348
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.892559296254217e-07,
+      "loss": 0.7107,
+      "step": 23349
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.889058839229587e-07,
+      "loss": 0.8961,
+      "step": 23350
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8855599256262475e-07,
+      "loss": 0.7412,
+      "step": 23351
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8820625555003543e-07,
+      "loss": 0.716,
+      "step": 23352
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8785667289081066e-07,
+      "loss": 0.6791,
+      "step": 23353
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8750724459056367e-07,
+      "loss": 0.7122,
+      "step": 23354
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8715797065490446e-07,
+      "loss": 0.8101,
+      "step": 23355
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.86808851089443e-07,
+      "loss": 0.6419,
+      "step": 23356
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8645988589978477e-07,
+      "loss": 0.7428,
+      "step": 23357
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8611107509153423e-07,
+      "loss": 0.74,
+      "step": 23358
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.857624186702946e-07,
+      "loss": 0.8231,
+      "step": 23359
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.854139166416615e-07,
+      "loss": 0.8539,
+      "step": 23360
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8506556901123373e-07,
+      "loss": 0.7518,
+      "step": 23361
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8471737578460453e-07,
+      "loss": 0.7977,
+      "step": 23362
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8436933696736734e-07,
+      "loss": 0.7931,
+      "step": 23363
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.840214525651076e-07,
+      "loss": 0.8488,
+      "step": 23364
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8367372258341527e-07,
+      "loss": 0.6444,
+      "step": 23365
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8332614702787043e-07,
+      "loss": 0.7285,
+      "step": 23366
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.829787259040596e-07,
+      "loss": 0.7502,
+      "step": 23367
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.826314592175584e-07,
+      "loss": 0.895,
+      "step": 23368
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.822843469739468e-07,
+      "loss": 0.6875,
+      "step": 23369
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.819373891787936e-07,
+      "loss": 0.8194,
+      "step": 23370
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.815905858376767e-07,
+      "loss": 0.8256,
+      "step": 23371
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8124393695616047e-07,
+      "loss": 0.9039,
+      "step": 23372
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8089744253981596e-07,
+      "loss": 0.7775,
+      "step": 23373
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.805511025942032e-07,
+      "loss": 0.6845,
+      "step": 23374
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.802049171248856e-07,
+      "loss": 0.7516,
+      "step": 23375
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.7985888613742416e-07,
+      "loss": 0.8299,
+      "step": 23376
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.7951300963737445e-07,
+      "loss": 0.7723,
+      "step": 23377
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.7916728763028874e-07,
+      "loss": 0.7517,
+      "step": 23378
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.788217201217226e-07,
+      "loss": 0.6709,
+      "step": 23379
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.784763071172226e-07,
+      "loss": 0.7146,
+      "step": 23380
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.781310486223377e-07,
+      "loss": 0.9,
+      "step": 23381
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.7778594464261023e-07,
+      "loss": 0.6616,
+      "step": 23382
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.7744099518358447e-07,
+      "loss": 0.7706,
+      "step": 23383
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.770962002507972e-07,
+      "loss": 0.7259,
+      "step": 23384
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.7675155984978726e-07,
+      "loss": 0.8276,
+      "step": 23385
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.764070739860881e-07,
+      "loss": 0.6918,
+      "step": 23386
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.7606274266523415e-07,
+      "loss": 0.7024,
+      "step": 23387
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.7571856589275093e-07,
+      "loss": 0.7151,
+      "step": 23388
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.7537454367416847e-07,
+      "loss": 0.7953,
+      "step": 23389
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.750306760150113e-07,
+      "loss": 0.7523,
+      "step": 23390
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.746869629207994e-07,
+      "loss": 0.8238,
+      "step": 23391
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.7434340439705396e-07,
+      "loss": 0.7249,
+      "step": 23392
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.7400000044929273e-07,
+      "loss": 0.8119,
+      "step": 23393
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.736567510830291e-07,
+      "loss": 0.8269,
+      "step": 23394
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.7331365630377537e-07,
+      "loss": 0.7733,
+      "step": 23395
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.729707161170415e-07,
+      "loss": 0.7966,
+      "step": 23396
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.726279305283331e-07,
+      "loss": 0.7659,
+      "step": 23397
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.722852995431592e-07,
+      "loss": 0.7612,
+      "step": 23398
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.719428231670175e-07,
+      "loss": 0.716,
+      "step": 23399
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.716005014054103e-07,
+      "loss": 0.6367,
+      "step": 23400
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.712583342638332e-07,
+      "loss": 0.7658,
+      "step": 23401
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.709163217477807e-07,
+      "loss": 0.7669,
+      "step": 23402
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.705744638627473e-07,
+      "loss": 0.7122,
+      "step": 23403
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.702327606142231e-07,
+      "loss": 0.8666,
+      "step": 23404
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.698912120076914e-07,
+      "loss": 0.6696,
+      "step": 23405
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.695498180486412e-07,
+      "loss": 0.8186,
+      "step": 23406
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.692085787425526e-07,
+      "loss": 0.6649,
+      "step": 23407
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.688674940949066e-07,
+      "loss": 0.7463,
+      "step": 23408
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.685265641111802e-07,
+      "loss": 0.8137,
+      "step": 23409
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.681857887968476e-07,
+      "loss": 0.6637,
+      "step": 23410
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.678451681573825e-07,
+      "loss": 0.8079,
+      "step": 23411
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.675047021982547e-07,
+      "loss": 0.7339,
+      "step": 23412
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6716439092493007e-07,
+      "loss": 0.882,
+      "step": 23413
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.668242343428763e-07,
+      "loss": 0.7587,
+      "step": 23414
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6648423245755125e-07,
+      "loss": 0.7063,
+      "step": 23415
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6614438527442067e-07,
+      "loss": 0.8825,
+      "step": 23416
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.658046927989389e-07,
+      "loss": 0.8339,
+      "step": 23417
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6546515503656176e-07,
+      "loss": 0.7679,
+      "step": 23418
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6512577199273924e-07,
+      "loss": 0.7875,
+      "step": 23419
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.64786543672927e-07,
+      "loss": 0.7198,
+      "step": 23420
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6444747008256733e-07,
+      "loss": 0.862,
+      "step": 23421
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.641085512271081e-07,
+      "loss": 0.7262,
+      "step": 23422
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.637697871119894e-07,
+      "loss": 0.8496,
+      "step": 23423
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6343117774265467e-07,
+      "loss": 0.7145,
+      "step": 23424
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.630927231245385e-07,
+      "loss": 0.7971,
+      "step": 23425
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6275442326307974e-07,
+      "loss": 0.8319,
+      "step": 23426
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.624162781637064e-07,
+      "loss": 0.7609,
+      "step": 23427
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6207828783185184e-07,
+      "loss": 0.7249,
+      "step": 23428
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.617404522729451e-07,
+      "loss": 0.8465,
+      "step": 23429
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6140277149240623e-07,
+      "loss": 0.5835,
+      "step": 23430
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6106524549566203e-07,
+      "loss": 0.8656,
+      "step": 23431
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.607278742881326e-07,
+      "loss": 0.6128,
+      "step": 23432
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6039065787523365e-07,
+      "loss": 0.8038,
+      "step": 23433
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.600535962623819e-07,
+      "loss": 0.7681,
+      "step": 23434
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5971668945499084e-07,
+      "loss": 0.7264,
+      "step": 23435
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5937993745846946e-07,
+      "loss": 0.7823,
+      "step": 23436
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.590433402782245e-07,
+      "loss": 0.8141,
+      "step": 23437
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5870689791966394e-07,
+      "loss": 0.712,
+      "step": 23438
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.583706103881901e-07,
+      "loss": 0.8636,
+      "step": 23439
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.580344776892009e-07,
+      "loss": 0.7221,
+      "step": 23440
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5769849982809746e-07,
+      "loss": 0.6962,
+      "step": 23441
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5736267681027117e-07,
+      "loss": 0.8232,
+      "step": 23442
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5702700864112095e-07,
+      "loss": 0.7228,
+      "step": 23443
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.566914953260314e-07,
+      "loss": 0.8137,
+      "step": 23444
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.563561368703938e-07,
+      "loss": 0.8226,
+      "step": 23445
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.560209332795894e-07,
+      "loss": 0.8758,
+      "step": 23446
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.556858845590083e-07,
+      "loss": 0.6924,
+      "step": 23447
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.55350990714024e-07,
+      "loss": 0.7271,
+      "step": 23448
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5501625175001995e-07,
+      "loss": 0.7369,
+      "step": 23449
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5468166767236746e-07,
+      "loss": 0.6708,
+      "step": 23450
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5434723848644105e-07,
+      "loss": 0.7528,
+      "step": 23451
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5401296419761086e-07,
+      "loss": 0.8449,
+      "step": 23452
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5367884481124715e-07,
+      "loss": 0.7514,
+      "step": 23453
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.533448803327122e-07,
+      "loss": 0.7213,
+      "step": 23454
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5301107076737064e-07,
+      "loss": 0.8065,
+      "step": 23455
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.526774161205826e-07,
+      "loss": 0.6711,
+      "step": 23456
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.523439163977083e-07,
+      "loss": 0.7481,
+      "step": 23457
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5201057160410003e-07,
+      "loss": 0.8224,
+      "step": 23458
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5167738174511245e-07,
+      "loss": 0.7887,
+      "step": 23459
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5134434682609573e-07,
+      "loss": 0.7949,
+      "step": 23460
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5101146685240005e-07,
+      "loss": 0.8043,
+      "step": 23461
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.506787418293678e-07,
+      "loss": 0.7858,
+      "step": 23462
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.503461717623446e-07,
+      "loss": 0.837,
+      "step": 23463
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.500137566566686e-07,
+      "loss": 0.7413,
+      "step": 23464
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.49681496517682e-07,
+      "loss": 0.6665,
+      "step": 23465
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.493493913507162e-07,
+      "loss": 0.6791,
+      "step": 23466
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.490174411611069e-07,
+      "loss": 0.7887,
+      "step": 23467
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.486856459541843e-07,
+      "loss": 0.6555,
+      "step": 23468
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4835400573527525e-07,
+      "loss": 0.7541,
+      "step": 23469
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4802252050970763e-07,
+      "loss": 0.7692,
+      "step": 23470
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4769119028280396e-07,
+      "loss": 0.8063,
+      "step": 23471
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.473600150598844e-07,
+      "loss": 0.6953,
+      "step": 23472
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.47028994846268e-07,
+      "loss": 0.843,
+      "step": 23473
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4669812964727043e-07,
+      "loss": 0.8182,
+      "step": 23474
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.463674194682032e-07,
+      "loss": 0.7027,
+      "step": 23475
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4603686431437855e-07,
+      "loss": 0.7551,
+      "step": 23476
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4570646419110564e-07,
+      "loss": 0.6627,
+      "step": 23477
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4537621910369026e-07,
+      "loss": 0.7293,
+      "step": 23478
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.450461290574336e-07,
+      "loss": 0.7566,
+      "step": 23479
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4471619405763825e-07,
+      "loss": 0.7515,
+      "step": 23480
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4438641410960203e-07,
+      "loss": 0.7605,
+      "step": 23481
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4405678921861976e-07,
+      "loss": 0.7171,
+      "step": 23482
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4372731938998703e-07,
+      "loss": 0.7652,
+      "step": 23483
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.433980046289942e-07,
+      "loss": 0.6838,
+      "step": 23484
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.430688449409281e-07,
+      "loss": 0.8875,
+      "step": 23485
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4273984033107443e-07,
+      "loss": 0.7438,
+      "step": 23486
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4241099080471904e-07,
+      "loss": 0.7099,
+      "step": 23487
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4208229636714216e-07,
+      "loss": 0.7255,
+      "step": 23488
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.417537570236207e-07,
+      "loss": 0.7327,
+      "step": 23489
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4142537277943146e-07,
+      "loss": 0.8575,
+      "step": 23490
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.410971436398469e-07,
+      "loss": 0.7888,
+      "step": 23491
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4076906961014066e-07,
+      "loss": 0.8786,
+      "step": 23492
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4044115069557847e-07,
+      "loss": 0.6923,
+      "step": 23493
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.401133869014284e-07,
+      "loss": 0.7147,
+      "step": 23494
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3978577823295056e-07,
+      "loss": 0.8331,
+      "step": 23495
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.394583246954097e-07,
+      "loss": 0.7163,
+      "step": 23496
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.391310262940628e-07,
+      "loss": 0.8043,
+      "step": 23497
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3880388303416666e-07,
+      "loss": 0.8286,
+      "step": 23498
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.384768949209727e-07,
+      "loss": 0.8264,
+      "step": 23499
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3815006195973333e-07,
+      "loss": 0.6036,
+      "step": 23500
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.378233841556966e-07,
+      "loss": 0.7999,
+      "step": 23501
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3749686151411056e-07,
+      "loss": 0.7365,
+      "step": 23502
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3717049404021653e-07,
+      "loss": 0.676,
+      "step": 23503
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.368442817392548e-07,
+      "loss": 0.7285,
+      "step": 23504
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.365182246164667e-07,
+      "loss": 0.7734,
+      "step": 23505
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.361923226770869e-07,
+      "loss": 0.6948,
+      "step": 23506
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3586657592634797e-07,
+      "loss": 0.8371,
+      "step": 23507
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3554098436948347e-07,
+      "loss": 0.7581,
+      "step": 23508
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3521554801171807e-07,
+      "loss": 0.7255,
+      "step": 23509
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.348902668582832e-07,
+      "loss": 0.7623,
+      "step": 23510
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3456514091439796e-07,
+      "loss": 0.7747,
+      "step": 23511
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3424017018528596e-07,
+      "loss": 0.7855,
+      "step": 23512
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.339153546761642e-07,
+      "loss": 0.7426,
+      "step": 23513
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3359069439224956e-07,
+      "loss": 0.7124,
+      "step": 23514
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3326618933875565e-07,
+      "loss": 0.7788,
+      "step": 23515
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.32941839520895e-07,
+      "loss": 0.8198,
+      "step": 23516
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.326176449438734e-07,
+      "loss": 0.6831,
+      "step": 23517
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.322936056128978e-07,
+      "loss": 0.8852,
+      "step": 23518
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.319697215331752e-07,
+      "loss": 0.63,
+      "step": 23519
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.316459927099025e-07,
+      "loss": 0.7221,
+      "step": 23520
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3132241914828e-07,
+      "loss": 0.816,
+      "step": 23521
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3099900085350355e-07,
+      "loss": 0.6809,
+      "step": 23522
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.306757378307679e-07,
+      "loss": 0.7303,
+      "step": 23523
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.303526300852633e-07,
+      "loss": 0.7172,
+      "step": 23524
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.300296776221801e-07,
+      "loss": 0.9275,
+      "step": 23525
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.297068804466996e-07,
+      "loss": 0.8296,
+      "step": 23526
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2938423856401226e-07,
+      "loss": 0.8389,
+      "step": 23527
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2906175197929493e-07,
+      "loss": 0.7334,
+      "step": 23528
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.28739420697729e-07,
+      "loss": 0.7574,
+      "step": 23529
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.284172447244871e-07,
+      "loss": 0.8428,
+      "step": 23530
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2809522406474616e-07,
+      "loss": 0.6957,
+      "step": 23531
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2777335872367534e-07,
+      "loss": 0.7685,
+      "step": 23532
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.274516487064461e-07,
+      "loss": 0.6614,
+      "step": 23533
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.27130094018222e-07,
+      "loss": 0.8327,
+      "step": 23534
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2680869466416687e-07,
+      "loss": 0.7163,
+      "step": 23535
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.264874506494442e-07,
+      "loss": 0.7114,
+      "step": 23536
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2616636197921106e-07,
+      "loss": 0.8723,
+      "step": 23537
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2584542865862435e-07,
+      "loss": 0.7199,
+      "step": 23538
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.255246506928389e-07,
+      "loss": 0.7212,
+      "step": 23539
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.252040280870017e-07,
+      "loss": 0.8316,
+      "step": 23540
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2488356084626747e-07,
+      "loss": 0.6251,
+      "step": 23541
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2456324897577774e-07,
+      "loss": 0.7005,
+      "step": 23542
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2424309248067944e-07,
+      "loss": 0.7743,
+      "step": 23543
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2392309136611066e-07,
+      "loss": 0.7573,
+      "step": 23544
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2360324563721514e-07,
+      "loss": 0.6793,
+      "step": 23545
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2328355529912423e-07,
+      "loss": 0.632,
+      "step": 23546
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2296402035697616e-07,
+      "loss": 0.8215,
+      "step": 23547
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2264464081589785e-07,
+      "loss": 0.7514,
+      "step": 23548
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.223254166810197e-07,
+      "loss": 0.7579,
+      "step": 23549
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.220063479574698e-07,
+      "loss": 0.8295,
+      "step": 23550
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2168743465037066e-07,
+      "loss": 0.8042,
+      "step": 23551
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2136867676484384e-07,
+      "loss": 0.8902,
+      "step": 23552
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.210500743060074e-07,
+      "loss": 0.853,
+      "step": 23553
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2073162727897847e-07,
+      "loss": 0.75,
+      "step": 23554
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.204133356888717e-07,
+      "loss": 0.7221,
+      "step": 23555
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2009519954079635e-07,
+      "loss": 0.8504,
+      "step": 23556
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.19777218839864e-07,
+      "loss": 0.8275,
+      "step": 23557
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.194593935911783e-07,
+      "loss": 0.5854,
+      "step": 23558
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.19141723799844e-07,
+      "loss": 0.8838,
+      "step": 23559
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.188242094709637e-07,
+      "loss": 0.6199,
+      "step": 23560
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1850685060963557e-07,
+      "loss": 0.851,
+      "step": 23561
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.181896472209556e-07,
+      "loss": 0.7165,
+      "step": 23562
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1787259931001737e-07,
+      "loss": 0.5647,
+      "step": 23563
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.175557068819135e-07,
+      "loss": 0.7432,
+      "step": 23564
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.172389699417311e-07,
+      "loss": 0.6435,
+      "step": 23565
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1692238849455823e-07,
+      "loss": 0.7398,
+      "step": 23566
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1660596254547873e-07,
+      "loss": 0.7356,
+      "step": 23567
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1628969209957394e-07,
+      "loss": 0.8339,
+      "step": 23568
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.15973577161921e-07,
+      "loss": 0.7438,
+      "step": 23569
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.156576177375992e-07,
+      "loss": 0.8189,
+      "step": 23570
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.153418138316788e-07,
+      "loss": 0.6728,
+      "step": 23571
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.150261654492348e-07,
+      "loss": 0.7886,
+      "step": 23572
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.147106725953342e-07,
+      "loss": 0.7212,
+      "step": 23573
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1439533527504396e-07,
+      "loss": 0.8167,
+      "step": 23574
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.140801534934268e-07,
+      "loss": 0.7539,
+      "step": 23575
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1376512725554755e-07,
+      "loss": 0.6952,
+      "step": 23576
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.13450256566461e-07,
+      "loss": 0.6637,
+      "step": 23577
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1313554143122647e-07,
+      "loss": 0.8451,
+      "step": 23578
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.128209818548955e-07,
+      "loss": 0.6679,
+      "step": 23579
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.125065778425218e-07,
+      "loss": 0.8224,
+      "step": 23580
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1219232939915244e-07,
+      "loss": 0.8008,
+      "step": 23581
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1187823652983675e-07,
+      "loss": 0.7919,
+      "step": 23582
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.115642992396151e-07,
+      "loss": 0.8416,
+      "step": 23583
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.112505175335312e-07,
+      "loss": 0.8024,
+      "step": 23584
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.109368914166222e-07,
+      "loss": 0.8571,
+      "step": 23585
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1062342089392737e-07,
+      "loss": 0.6801,
+      "step": 23586
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.103101059704772e-07,
+      "loss": 0.7094,
+      "step": 23587
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0999694665130643e-07,
+      "loss": 0.7116,
+      "step": 23588
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0968394294144113e-07,
+      "loss": 0.8423,
+      "step": 23589
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0937109484590943e-07,
+      "loss": 0.7737,
+      "step": 23590
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.090584023697352e-07,
+      "loss": 0.6992,
+      "step": 23591
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0874586551793983e-07,
+      "loss": 0.8297,
+      "step": 23592
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0843348429554054e-07,
+      "loss": 0.7181,
+      "step": 23593
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.081212587075577e-07,
+      "loss": 0.7961,
+      "step": 23594
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.078091887590007e-07,
+      "loss": 0.7438,
+      "step": 23595
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.074972744548854e-07,
+      "loss": 0.7819,
+      "step": 23596
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.071855158002168e-07,
+      "loss": 0.8399,
+      "step": 23597
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0687391280000313e-07,
+      "loss": 0.5214,
+      "step": 23598
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0656246545924804e-07,
+      "loss": 0.8282,
+      "step": 23599
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.062511737829543e-07,
+      "loss": 0.6262,
+      "step": 23600
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.05940037776119e-07,
+      "loss": 0.8313,
+      "step": 23601
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0562905744373926e-07,
+      "loss": 0.7868,
+      "step": 23602
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0531823279080995e-07,
+      "loss": 0.778,
+      "step": 23603
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0500756382232045e-07,
+      "loss": 0.6401,
+      "step": 23604
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0469705054326117e-07,
+      "loss": 0.8152,
+      "step": 23605
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.043866929586192e-07,
+      "loss": 0.7785,
+      "step": 23606
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0407649107337734e-07,
+      "loss": 0.8121,
+      "step": 23607
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0376644489251707e-07,
+      "loss": 0.7105,
+      "step": 23608
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.034565544210177e-07,
+      "loss": 0.7431,
+      "step": 23609
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0314681966385653e-07,
+      "loss": 0.7592,
+      "step": 23610
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0283724062600496e-07,
+      "loss": 0.684,
+      "step": 23611
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0252781731243686e-07,
+      "loss": 0.7572,
+      "step": 23612
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.022185497281216e-07,
+      "loss": 0.7195,
+      "step": 23613
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.01909437878023e-07,
+      "loss": 0.7463,
+      "step": 23614
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0160048176710586e-07,
+      "loss": 0.7701,
+      "step": 23615
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0129168140033305e-07,
+      "loss": 0.643,
+      "step": 23616
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0098303678266383e-07,
+      "loss": 0.7449,
+      "step": 23617
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0067454791905206e-07,
+      "loss": 0.7967,
+      "step": 23618
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.003662148144537e-07,
+      "loss": 0.7485,
+      "step": 23619
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0005803747381824e-07,
+      "loss": 0.8368,
+      "step": 23620
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.997500159020983e-07,
+      "loss": 0.8092,
+      "step": 23621
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.994421501042355e-07,
+      "loss": 0.7911,
+      "step": 23622
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.9913444008517924e-07,
+      "loss": 0.7339,
+      "step": 23623
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.9882688584986554e-07,
+      "loss": 0.7483,
+      "step": 23624
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.98519487403236e-07,
+      "loss": 0.7836,
+      "step": 23625
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.982122447502278e-07,
+      "loss": 0.8291,
+      "step": 23626
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.979051578957748e-07,
+      "loss": 0.9078,
+      "step": 23627
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.9759822684480524e-07,
+      "loss": 0.7534,
+      "step": 23628
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.972914516022518e-07,
+      "loss": 0.6681,
+      "step": 23629
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.969848321730384e-07,
+      "loss": 0.7282,
+      "step": 23630
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.966783685620922e-07,
+      "loss": 0.7573,
+      "step": 23631
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.963720607743303e-07,
+      "loss": 0.8009,
+      "step": 23632
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.9606590881467445e-07,
+      "loss": 0.8655,
+      "step": 23633
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.957599126880395e-07,
+      "loss": 0.8253,
+      "step": 23634
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.9545407239934265e-07,
+      "loss": 0.8544,
+      "step": 23635
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.951483879534911e-07,
+      "loss": 0.6876,
+      "step": 23636
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.9484285935539645e-07,
+      "loss": 0.8566,
+      "step": 23637
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.9453748660996264e-07,
+      "loss": 0.6257,
+      "step": 23638
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.9423226972209673e-07,
+      "loss": 0.6222,
+      "step": 23639
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.9392720869669823e-07,
+      "loss": 0.6456,
+      "step": 23640
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.936223035386665e-07,
+      "loss": 0.7559,
+      "step": 23641
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.933175542528977e-07,
+      "loss": 0.8137,
+      "step": 23642
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.9301296084428553e-07,
+      "loss": 0.6028,
+      "step": 23643
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.927085233177218e-07,
+      "loss": 0.7232,
+      "step": 23644
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.924042416780959e-07,
+      "loss": 0.6708,
+      "step": 23645
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.9210011593029276e-07,
+      "loss": 0.7214,
+      "step": 23646
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.9179614607919737e-07,
+      "loss": 0.7032,
+      "step": 23647
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.914923321296903e-07,
+      "loss": 0.8489,
+      "step": 23648
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.9118867408665206e-07,
+      "loss": 0.6248,
+      "step": 23649
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.908851719549566e-07,
+      "loss": 0.7655,
+      "step": 23650
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.905818257394799e-07,
+      "loss": 0.6273,
+      "step": 23651
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.9027863544509263e-07,
+      "loss": 0.757,
+      "step": 23652
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8997560107666303e-07,
+      "loss": 0.7272,
+      "step": 23653
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.896727226390572e-07,
+      "loss": 0.7363,
+      "step": 23654
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8937000013714247e-07,
+      "loss": 0.7219,
+      "step": 23655
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.890674335757748e-07,
+      "loss": 0.6548,
+      "step": 23656
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.88765022959816e-07,
+      "loss": 0.7727,
+      "step": 23657
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.884627682941232e-07,
+      "loss": 0.7041,
+      "step": 23658
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8816066958354815e-07,
+      "loss": 0.6649,
+      "step": 23659
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.878587268329436e-07,
+      "loss": 0.7291,
+      "step": 23660
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8755694004715674e-07,
+      "loss": 0.7422,
+      "step": 23661
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8725530923103705e-07,
+      "loss": 0.775,
+      "step": 23662
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8695383438942514e-07,
+      "loss": 0.7215,
+      "step": 23663
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.866525155271649e-07,
+      "loss": 0.7703,
+      "step": 23664
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.863513526490902e-07,
+      "loss": 0.9018,
+      "step": 23665
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8605034576004497e-07,
+      "loss": 0.713,
+      "step": 23666
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8574949486485647e-07,
+      "loss": 0.8166,
+      "step": 23667
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.854487999683597e-07,
+      "loss": 0.6901,
+      "step": 23668
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.851482610753808e-07,
+      "loss": 0.8098,
+      "step": 23669
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.848478781907493e-07,
+      "loss": 0.67,
+      "step": 23670
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8454765131928573e-07,
+      "loss": 0.7578,
+      "step": 23671
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8424758046581405e-07,
+      "loss": 0.6248,
+      "step": 23672
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.839476656351503e-07,
+      "loss": 0.8717,
+      "step": 23673
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8364790683211183e-07,
+      "loss": 0.6683,
+      "step": 23674
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.833483040615137e-07,
+      "loss": 0.7531,
+      "step": 23675
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8304885732816647e-07,
+      "loss": 0.7897,
+      "step": 23676
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.827495666368774e-07,
+      "loss": 0.7679,
+      "step": 23677
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.824504319924548e-07,
+      "loss": 0.8416,
+      "step": 23678
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.821514533997005e-07,
+      "loss": 0.877,
+      "step": 23679
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.818526308634184e-07,
+      "loss": 0.696,
+      "step": 23680
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8155396438840464e-07,
+      "loss": 0.755,
+      "step": 23681
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8125545397945653e-07,
+      "loss": 0.7148,
+      "step": 23682
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8095709964136573e-07,
+      "loss": 0.6399,
+      "step": 23683
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.806589013789274e-07,
+      "loss": 0.7885,
+      "step": 23684
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.803608591969276e-07,
+      "loss": 0.7827,
+      "step": 23685
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.800629731001536e-07,
+      "loss": 0.7842,
+      "step": 23686
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7976524309338726e-07,
+      "loss": 0.7968,
+      "step": 23687
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7946766918141134e-07,
+      "loss": 0.8405,
+      "step": 23688
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7917025136900423e-07,
+      "loss": 0.8547,
+      "step": 23689
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7887298966094325e-07,
+      "loss": 0.6504,
+      "step": 23690
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.78575884061999e-07,
+      "loss": 0.6988,
+      "step": 23691
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7827893457694545e-07,
+      "loss": 0.7563,
+      "step": 23692
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7798214121054877e-07,
+      "loss": 0.6767,
+      "step": 23693
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7768550396757853e-07,
+      "loss": 0.8697,
+      "step": 23694
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7738902285279534e-07,
+      "loss": 0.7619,
+      "step": 23695
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7709269787096093e-07,
+      "loss": 0.8664,
+      "step": 23696
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7679652902683596e-07,
+      "loss": 0.7711,
+      "step": 23697
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.765005163251733e-07,
+      "loss": 0.6523,
+      "step": 23698
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7620465977072794e-07,
+      "loss": 0.5733,
+      "step": 23699
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.759089593682518e-07,
+      "loss": 0.8526,
+      "step": 23700
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7561341512249316e-07,
+      "loss": 0.7991,
+      "step": 23701
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.753180270381972e-07,
+      "loss": 0.7852,
+      "step": 23702
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7502279512010897e-07,
+      "loss": 0.6653,
+      "step": 23703
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7472771937296805e-07,
+      "loss": 0.8343,
+      "step": 23704
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.744327998015128e-07,
+      "loss": 0.8519,
+      "step": 23705
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7413803641047954e-07,
+      "loss": 0.8203,
+      "step": 23706
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.738434292046044e-07,
+      "loss": 0.6631,
+      "step": 23707
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.735489781886147e-07,
+      "loss": 0.7314,
+      "step": 23708
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7325468336724e-07,
+      "loss": 0.8187,
+      "step": 23709
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.729605447452077e-07,
+      "loss": 0.789,
+      "step": 23710
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7266656232724063e-07,
+      "loss": 0.811,
+      "step": 23711
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7237273611805836e-07,
+      "loss": 0.8623,
+      "step": 23712
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7207906612238264e-07,
+      "loss": 0.6658,
+      "step": 23713
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.717855523449242e-07,
+      "loss": 0.7076,
+      "step": 23714
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7149219479040257e-07,
+      "loss": 0.7084,
+      "step": 23715
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7119899346352395e-07,
+      "loss": 0.8762,
+      "step": 23716
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.709059483690002e-07,
+      "loss": 0.7154,
+      "step": 23717
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7061305951153415e-07,
+      "loss": 0.6516,
+      "step": 23718
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.703203268958321e-07,
+      "loss": 0.743,
+      "step": 23719
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.700277505265925e-07,
+      "loss": 0.7676,
+      "step": 23720
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.69735330408516e-07,
+      "loss": 0.7576,
+      "step": 23721
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.694430665462966e-07,
+      "loss": 0.7975,
+      "step": 23722
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.691509589446284e-07,
+      "loss": 0.6743,
+      "step": 23723
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6885900760820204e-07,
+      "loss": 0.8518,
+      "step": 23724
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6856721254170714e-07,
+      "loss": 0.7733,
+      "step": 23725
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.682755737498277e-07,
+      "loss": 0.8256,
+      "step": 23726
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.679840912372489e-07,
+      "loss": 0.7567,
+      "step": 23727
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.676927650086503e-07,
+      "loss": 0.7385,
+      "step": 23728
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6740159506871146e-07,
+      "loss": 0.8025,
+      "step": 23729
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6711058142210643e-07,
+      "loss": 0.7642,
+      "step": 23730
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.668197240735104e-07,
+      "loss": 0.7044,
+      "step": 23731
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6652902302759077e-07,
+      "loss": 0.764,
+      "step": 23732
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6623847828902037e-07,
+      "loss": 0.7185,
+      "step": 23733
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.659480898624622e-07,
+      "loss": 0.9428,
+      "step": 23734
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6565785775258143e-07,
+      "loss": 0.6624,
+      "step": 23735
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6536778196403657e-07,
+      "loss": 0.8163,
+      "step": 23736
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6507786250148714e-07,
+      "loss": 0.7085,
+      "step": 23737
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.647880993695884e-07,
+      "loss": 0.6942,
+      "step": 23738
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6449849257299545e-07,
+      "loss": 0.6521,
+      "step": 23739
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6420904211635567e-07,
+      "loss": 0.6717,
+      "step": 23740
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6391974800431985e-07,
+      "loss": 0.7199,
+      "step": 23741
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.636306102415331e-07,
+      "loss": 0.7376,
+      "step": 23742
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6334162883263736e-07,
+      "loss": 0.7642,
+      "step": 23743
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.630528037822755e-07,
+      "loss": 0.784,
+      "step": 23744
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.627641350950838e-07,
+      "loss": 0.7447,
+      "step": 23745
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.624756227756986e-07,
+      "loss": 0.6876,
+      "step": 23746
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6218726682875395e-07,
+      "loss": 0.8246,
+      "step": 23747
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6189906725887946e-07,
+      "loss": 0.7876,
+      "step": 23748
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.616110240707015e-07,
+      "loss": 0.9224,
+      "step": 23749
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.613231372688496e-07,
+      "loss": 0.7184,
+      "step": 23750
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.610354068579446e-07,
+      "loss": 0.7491,
+      "step": 23751
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6074783284260717e-07,
+      "loss": 0.7554,
+      "step": 23752
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.604604152274559e-07,
+      "loss": 0.74,
+      "step": 23753
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6017315401710486e-07,
+      "loss": 0.7117,
+      "step": 23754
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.598860492161692e-07,
+      "loss": 0.7266,
+      "step": 23755
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5959910082925975e-07,
+      "loss": 0.7884,
+      "step": 23756
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.593123088609817e-07,
+      "loss": 0.7879,
+      "step": 23757
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.590256733159413e-07,
+      "loss": 0.7514,
+      "step": 23758
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5873919419874383e-07,
+      "loss": 0.7905,
+      "step": 23759
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.584528715139889e-07,
+      "loss": 0.8466,
+      "step": 23760
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5816670526627285e-07,
+      "loss": 0.7755,
+      "step": 23761
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5788069546019423e-07,
+      "loss": 0.6789,
+      "step": 23762
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.575948421003416e-07,
+      "loss": 0.7768,
+      "step": 23763
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.57309145191309e-07,
+      "loss": 0.7053,
+      "step": 23764
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5702360473768396e-07,
+      "loss": 0.7858,
+      "step": 23765
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5673822074405053e-07,
+      "loss": 0.6862,
+      "step": 23766
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.564529932149906e-07,
+      "loss": 0.7893,
+      "step": 23767
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5616792215508943e-07,
+      "loss": 0.8174,
+      "step": 23768
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5588300756892004e-07,
+      "loss": 0.6366,
+      "step": 23769
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.555982494610598e-07,
+      "loss": 0.7645,
+      "step": 23770
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5531364783608073e-07,
+      "loss": 0.7433,
+      "step": 23771
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5502920269855346e-07,
+      "loss": 0.6872,
+      "step": 23772
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.547449140530467e-07,
+      "loss": 0.6766,
+      "step": 23773
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.544607819041256e-07,
+      "loss": 0.8107,
+      "step": 23774
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.541768062563521e-07,
+      "loss": 0.7456,
+      "step": 23775
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.53892987114287e-07,
+      "loss": 0.6162,
+      "step": 23776
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5360932448248663e-07,
+      "loss": 0.7778,
+      "step": 23777
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.533258183655096e-07,
+      "loss": 0.7244,
+      "step": 23778
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.530424687679056e-07,
+      "loss": 0.7498,
+      "step": 23779
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.527592756942265e-07,
+      "loss": 0.761,
+      "step": 23780
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5247623914901984e-07,
+      "loss": 0.7704,
+      "step": 23781
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5219335913682864e-07,
+      "loss": 0.6864,
+      "step": 23782
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.519106356621981e-07,
+      "loss": 0.7272,
+      "step": 23783
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5162806872966903e-07,
+      "loss": 0.8105,
+      "step": 23784
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.513456583437768e-07,
+      "loss": 0.8441,
+      "step": 23785
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5106340450905763e-07,
+      "loss": 0.6579,
+      "step": 23786
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.507813072300447e-07,
+      "loss": 0.7386,
+      "step": 23787
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.504993665112665e-07,
+      "loss": 0.7139,
+      "step": 23788
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.502175823572517e-07,
+      "loss": 0.8494,
+      "step": 23789
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.499359547725255e-07,
+      "loss": 0.7085,
+      "step": 23790
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.496544837616111e-07,
+      "loss": 0.7979,
+      "step": 23791
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.493731693290269e-07,
+      "loss": 0.7661,
+      "step": 23792
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4909201147929275e-07,
+      "loss": 0.7619,
+      "step": 23793
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4881101021691945e-07,
+      "loss": 0.8387,
+      "step": 23794
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.485301655464256e-07,
+      "loss": 0.7316,
+      "step": 23795
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4824947747231544e-07,
+      "loss": 0.7316,
+      "step": 23796
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4796894599910194e-07,
+      "loss": 0.6632,
+      "step": 23797
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.476885711312849e-07,
+      "loss": 0.6823,
+      "step": 23798
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.474083528733695e-07,
+      "loss": 0.7637,
+      "step": 23799
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4712829122985447e-07,
+      "loss": 0.8003,
+      "step": 23800
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.468483862052407e-07,
+      "loss": 0.7297,
+      "step": 23801
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4656863780401775e-07,
+      "loss": 0.8226,
+      "step": 23802
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.462890460306822e-07,
+      "loss": 0.6541,
+      "step": 23803
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4600961088972143e-07,
+      "loss": 0.8048,
+      "step": 23804
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4573033238562525e-07,
+      "loss": 0.8052,
+      "step": 23805
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.454512105228768e-07,
+      "loss": 0.6389,
+      "step": 23806
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4517224530595794e-07,
+      "loss": 0.759,
+      "step": 23807
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4489343673934964e-07,
+      "loss": 0.7827,
+      "step": 23808
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4461478482752933e-07,
+      "loss": 0.8794,
+      "step": 23809
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.443362895749712e-07,
+      "loss": 0.6417,
+      "step": 23810
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.440579509861485e-07,
+      "loss": 0.7415,
+      "step": 23811
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4377976906552746e-07,
+      "loss": 0.7093,
+      "step": 23812
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.435017438175813e-07,
+      "loss": 0.6792,
+      "step": 23813
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.432238752467697e-07,
+      "loss": 0.7528,
+      "step": 23814
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4294616335755806e-07,
+      "loss": 0.7617,
+      "step": 23815
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4266860815440275e-07,
+      "loss": 0.6398,
+      "step": 23816
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4239120964176577e-07,
+      "loss": 0.8743,
+      "step": 23817
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.421139678240969e-07,
+      "loss": 0.6568,
+      "step": 23818
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4183688270585147e-07,
+      "loss": 0.7082,
+      "step": 23819
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4155995429147705e-07,
+      "loss": 0.7887,
+      "step": 23820
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4128318258542227e-07,
+      "loss": 0.6756,
+      "step": 23821
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4100656759213135e-07,
+      "loss": 0.6932,
+      "step": 23822
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4073010931604635e-07,
+      "loss": 0.7853,
+      "step": 23823
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4045380776160587e-07,
+      "loss": 0.7969,
+      "step": 23824
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4017766293324863e-07,
+      "loss": 0.7485,
+      "step": 23825
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.399016748354088e-07,
+      "loss": 0.6915,
+      "step": 23826
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3962584347251737e-07,
+      "loss": 0.8111,
+      "step": 23827
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.393501688490041e-07,
+      "loss": 0.7903,
+      "step": 23828
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.390746509692976e-07,
+      "loss": 0.717,
+      "step": 23829
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3879928983782e-07,
+      "loss": 0.7539,
+      "step": 23830
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.385240854589943e-07,
+      "loss": 0.6574,
+      "step": 23831
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.382490378372404e-07,
+      "loss": 0.8932,
+      "step": 23832
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3797414697697475e-07,
+      "loss": 0.7577,
+      "step": 23833
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3769941288261156e-07,
+      "loss": 0.8601,
+      "step": 23834
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.374248355585629e-07,
+      "loss": 0.8006,
+      "step": 23835
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3715041500923853e-07,
+      "loss": 0.7719,
+      "step": 23836
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3687615123904495e-07,
+      "loss": 0.6416,
+      "step": 23837
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3660204425238754e-07,
+      "loss": 0.7498,
+      "step": 23838
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3632809405366387e-07,
+      "loss": 0.745,
+      "step": 23839
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.360543006472793e-07,
+      "loss": 0.8154,
+      "step": 23840
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3578066403762701e-07,
+      "loss": 0.7556,
+      "step": 23841
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3550718422910235e-07,
+      "loss": 0.716,
+      "step": 23842
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3523386122609514e-07,
+      "loss": 0.7966,
+      "step": 23843
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3496069503299745e-07,
+      "loss": 0.8323,
+      "step": 23844
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3468768565419463e-07,
+      "loss": 0.7221,
+      "step": 23845
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.344148330940721e-07,
+      "loss": 0.6737,
+      "step": 23846
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3414213735700853e-07,
+      "loss": 0.774,
+      "step": 23847
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3386959844738598e-07,
+      "loss": 0.704,
+      "step": 23848
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3359721636957878e-07,
+      "loss": 0.6014,
+      "step": 23849
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3332499112796447e-07,
+      "loss": 0.6806,
+      "step": 23850
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.330529227269107e-07,
+      "loss": 0.7262,
+      "step": 23851
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3278101117078843e-07,
+      "loss": 0.7579,
+      "step": 23852
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3250925646396416e-07,
+      "loss": 0.7868,
+      "step": 23853
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3223765861080218e-07,
+      "loss": 0.9168,
+      "step": 23854
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3196621761566452e-07,
+      "loss": 0.7324,
+      "step": 23855
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3169493348290884e-07,
+      "loss": 0.6752,
+      "step": 23856
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3142380621689052e-07,
+      "loss": 0.9019,
+      "step": 23857
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3115283582196725e-07,
+      "loss": 0.7854,
+      "step": 23858
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3088202230248768e-07,
+      "loss": 0.7301,
+      "step": 23859
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3061136566280175e-07,
+      "loss": 0.8332,
+      "step": 23860
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3034086590725368e-07,
+      "loss": 0.7266,
+      "step": 23861
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3007052304019228e-07,
+      "loss": 0.7226,
+      "step": 23862
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2980033706595407e-07,
+      "loss": 0.7299,
+      "step": 23863
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2953030798888e-07,
+      "loss": 0.8208,
+      "step": 23864
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.292604358133066e-07,
+      "loss": 0.8015,
+      "step": 23865
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2899072054356598e-07,
+      "loss": 0.8356,
+      "step": 23866
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.287211621839913e-07,
+      "loss": 0.7199,
+      "step": 23867
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.284517607389114e-07,
+      "loss": 0.6362,
+      "step": 23868
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2818251621265052e-07,
+      "loss": 0.6916,
+      "step": 23869
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2791342860953415e-07,
+      "loss": 0.7739,
+      "step": 23870
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2764449793388432e-07,
+      "loss": 0.66,
+      "step": 23871
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2737572419001653e-07,
+      "loss": 0.7311,
+      "step": 23872
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.271071073822495e-07,
+      "loss": 0.8881,
+      "step": 23873
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2683864751489537e-07,
+      "loss": 0.6868,
+      "step": 23874
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2657034459226735e-07,
+      "loss": 0.6362,
+      "step": 23875
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.263021986186731e-07,
+      "loss": 0.7562,
+      "step": 23876
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2603420959841805e-07,
+      "loss": 0.8653,
+      "step": 23877
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2576637753580544e-07,
+      "loss": 0.8177,
+      "step": 23878
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2549870243513737e-07,
+      "loss": 0.741,
+      "step": 23879
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2523118430071157e-07,
+      "loss": 0.7773,
+      "step": 23880
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2496382313682562e-07,
+      "loss": 0.8348,
+      "step": 23881
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.246966189477706e-07,
+      "loss": 0.7828,
+      "step": 23882
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2442957173783863e-07,
+      "loss": 0.7173,
+      "step": 23883
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2416268151131848e-07,
+      "loss": 0.7731,
+      "step": 23884
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2389594827249784e-07,
+      "loss": 0.722,
+      "step": 23885
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2362937202565549e-07,
+      "loss": 0.8007,
+      "step": 23886
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2336295277507691e-07,
+      "loss": 0.9926,
+      "step": 23887
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2309669052503646e-07,
+      "loss": 0.7599,
+      "step": 23888
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2283058527981405e-07,
+      "loss": 0.6763,
+      "step": 23889
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.225646370436796e-07,
+      "loss": 0.8391,
+      "step": 23890
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2229884582090634e-07,
+      "loss": 0.8679,
+      "step": 23891
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2203321161575974e-07,
+      "loss": 0.8052,
+      "step": 23892
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2176773443250865e-07,
+      "loss": 0.7989,
+      "step": 23893
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2150241427541518e-07,
+      "loss": 0.6894,
+      "step": 23894
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2123725114873927e-07,
+      "loss": 0.6582,
+      "step": 23895
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2097224505673976e-07,
+      "loss": 0.6424,
+      "step": 23896
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.2070739600367207e-07,
+      "loss": 0.7081,
+      "step": 23897
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.204427039937884e-07,
+      "loss": 0.798,
+      "step": 23898
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.2017816903134314e-07,
+      "loss": 0.6936,
+      "step": 23899
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1991379112057954e-07,
+      "loss": 0.869,
+      "step": 23900
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.196495702657453e-07,
+      "loss": 0.7399,
+      "step": 23901
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.193855064710837e-07,
+      "loss": 0.7655,
+      "step": 23902
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.191215997408358e-07,
+      "loss": 0.7873,
+      "step": 23903
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.188578500792382e-07,
+      "loss": 0.7281,
+      "step": 23904
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1859425749052865e-07,
+      "loss": 0.6671,
+      "step": 23905
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1833082197893595e-07,
+      "loss": 0.6772,
+      "step": 23906
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1806754354869452e-07,
+      "loss": 0.6557,
+      "step": 23907
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1780442220403097e-07,
+      "loss": 0.7766,
+      "step": 23908
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1754145794917082e-07,
+      "loss": 0.8403,
+      "step": 23909
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.172786507883362e-07,
+      "loss": 0.7728,
+      "step": 23910
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1701600072574825e-07,
+      "loss": 0.8674,
+      "step": 23911
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1675350776562466e-07,
+      "loss": 0.8191,
+      "step": 23912
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1649117191218094e-07,
+      "loss": 0.6897,
+      "step": 23913
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.162289931696282e-07,
+      "loss": 0.7272,
+      "step": 23914
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1596697154217972e-07,
+      "loss": 0.7872,
+      "step": 23915
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.15705107034041e-07,
+      "loss": 0.8302,
+      "step": 23916
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1544339964941762e-07,
+      "loss": 0.7111,
+      "step": 23917
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1518184939251174e-07,
+      "loss": 0.8308,
+      "step": 23918
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1492045626752554e-07,
+      "loss": 0.8171,
+      "step": 23919
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.146592202786557e-07,
+      "loss": 0.7298,
+      "step": 23920
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1439814143009553e-07,
+      "loss": 0.8731,
+      "step": 23921
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1413721972604052e-07,
+      "loss": 0.746,
+      "step": 23922
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1387645517067845e-07,
+      "loss": 0.8633,
+      "step": 23923
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1361584776819933e-07,
+      "loss": 0.8394,
+      "step": 23924
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1335539752278532e-07,
+      "loss": 0.9164,
+      "step": 23925
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1309510443862092e-07,
+      "loss": 0.9089,
+      "step": 23926
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1283496851988495e-07,
+      "loss": 0.9212,
+      "step": 23927
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.125749897707552e-07,
+      "loss": 0.6644,
+      "step": 23928
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.123151681954072e-07,
+      "loss": 0.697,
+      "step": 23929
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1205550379801322e-07,
+      "loss": 0.8863,
+      "step": 23930
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1179599658274208e-07,
+      "loss": 0.7378,
+      "step": 23931
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.115366465537627e-07,
+      "loss": 0.8062,
+      "step": 23932
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1127745371523845e-07,
+      "loss": 0.7358,
+      "step": 23933
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.110184180713326e-07,
+      "loss": 0.7228,
+      "step": 23934
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1075953962620522e-07,
+      "loss": 0.74,
+      "step": 23935
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1050081838401294e-07,
+      "loss": 0.759,
+      "step": 23936
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.102422543489091e-07,
+      "loss": 0.8259,
+      "step": 23937
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.099838475250493e-07,
+      "loss": 0.838,
+      "step": 23938
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.097255979165802e-07,
+      "loss": 0.7673,
+      "step": 23939
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0946750552765072e-07,
+      "loss": 0.8218,
+      "step": 23940
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.092095703624042e-07,
+      "loss": 0.7809,
+      "step": 23941
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0895179242498398e-07,
+      "loss": 0.7937,
+      "step": 23942
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0869417171952899e-07,
+      "loss": 0.7573,
+      "step": 23943
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0843670825017703e-07,
+      "loss": 0.744,
+      "step": 23944
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0817940202106145e-07,
+      "loss": 0.7418,
+      "step": 23945
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0792225303631452e-07,
+      "loss": 0.8096,
+      "step": 23946
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0766526130006626e-07,
+      "loss": 0.7498,
+      "step": 23947
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0740842681644334e-07,
+      "loss": 0.8139,
+      "step": 23948
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0715174958957029e-07,
+      "loss": 0.7213,
+      "step": 23949
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0689522962356933e-07,
+      "loss": 0.7949,
+      "step": 23950
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.066388669225594e-07,
+      "loss": 0.8263,
+      "step": 23951
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0638266149065722e-07,
+      "loss": 0.8166,
+      "step": 23952
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0612661333197725e-07,
+      "loss": 0.7341,
+      "step": 23953
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0587072245063289e-07,
+      "loss": 0.7573,
+      "step": 23954
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0561498885072973e-07,
+      "loss": 0.8095,
+      "step": 23955
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0535941253637892e-07,
+      "loss": 0.8138,
+      "step": 23956
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0510399351168165e-07,
+      "loss": 0.6805,
+      "step": 23957
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0484873178074128e-07,
+      "loss": 0.7774,
+      "step": 23958
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0459362734765454e-07,
+      "loss": 0.8103,
+      "step": 23959
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.043386802165215e-07,
+      "loss": 0.7859,
+      "step": 23960
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.040838903914333e-07,
+      "loss": 0.7953,
+      "step": 23961
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0382925787648444e-07,
+      "loss": 0.9012,
+      "step": 23962
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0357478267576058e-07,
+      "loss": 0.713,
+      "step": 23963
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0332046479335066e-07,
+      "loss": 0.8127,
+      "step": 23964
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0306630423333917e-07,
+      "loss": 0.6895,
+      "step": 23965
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.028123009998062e-07,
+      "loss": 0.7881,
+      "step": 23966
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.025584550968296e-07,
+      "loss": 0.6566,
+      "step": 23967
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.023047665284883e-07,
+      "loss": 0.7204,
+      "step": 23968
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0205123529885683e-07,
+      "loss": 0.7569,
+      "step": 23969
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.017978614120031e-07,
+      "loss": 0.691,
+      "step": 23970
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0154464487199932e-07,
+      "loss": 0.8433,
+      "step": 23971
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0129158568290896e-07,
+      "loss": 1.0453,
+      "step": 23972
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0103868384879765e-07,
+      "loss": 0.859,
+      "step": 23973
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0078593937372658e-07,
+      "loss": 0.715,
+      "step": 23974
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0053335226175475e-07,
+      "loss": 0.6755,
+      "step": 23975
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0028092251693664e-07,
+      "loss": 0.7852,
+      "step": 23976
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0002865014332795e-07,
+      "loss": 0.7302,
+      "step": 23977
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9977653514497764e-07,
+      "loss": 0.8303,
+      "step": 23978
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.99524577525938e-07,
+      "loss": 0.753,
+      "step": 23979
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9927277729025251e-07,
+      "loss": 0.7665,
+      "step": 23980
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9902113444196348e-07,
+      "loss": 0.7812,
+      "step": 23981
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.987696489851154e-07,
+      "loss": 0.752,
+      "step": 23982
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9851832092374512e-07,
+      "loss": 0.7797,
+      "step": 23983
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9826715026188824e-07,
+      "loss": 0.6553,
+      "step": 23984
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9801613700357936e-07,
+      "loss": 0.6268,
+      "step": 23985
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.977652811528463e-07,
+      "loss": 0.7054,
+      "step": 23986
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9751458271372259e-07,
+      "loss": 0.9029,
+      "step": 23987
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.972640416902305e-07,
+      "loss": 0.8699,
+      "step": 23988
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.970136580863946e-07,
+      "loss": 0.7618,
+      "step": 23989
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9676343190623505e-07,
+      "loss": 0.8294,
+      "step": 23990
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9651336315377079e-07,
+      "loss": 0.8356,
+      "step": 23991
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9626345183301753e-07,
+      "loss": 0.8241,
+      "step": 23992
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9601369794798986e-07,
+      "loss": 0.7918,
+      "step": 23993
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9576410150269566e-07,
+      "loss": 0.7984,
+      "step": 23994
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9551466250114393e-07,
+      "loss": 0.7577,
+      "step": 23995
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.952653809473415e-07,
+      "loss": 0.8422,
+      "step": 23996
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.950162568452918e-07,
+      "loss": 0.6971,
+      "step": 23997
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.94767290198995e-07,
+      "loss": 0.7234,
+      "step": 23998
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9451848101244786e-07,
+      "loss": 0.6832,
+      "step": 23999
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.942698292896461e-07,
+      "loss": 0.8982,
+      "step": 24000
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9402133503458543e-07,
+      "loss": 0.7111,
+      "step": 24001
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9377299825125373e-07,
+      "loss": 0.7224,
+      "step": 24002
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9352481894364117e-07,
+      "loss": 0.7469,
+      "step": 24003
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.932767971157301e-07,
+      "loss": 0.8582,
+      "step": 24004
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9302893277150513e-07,
+      "loss": 0.8392,
+      "step": 24005
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9278122591494753e-07,
+      "loss": 0.8293,
+      "step": 24006
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9253367655003406e-07,
+      "loss": 0.7374,
+      "step": 24007
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.922862846807405e-07,
+      "loss": 0.7071,
+      "step": 24008
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9203905031103808e-07,
+      "loss": 0.7258,
+      "step": 24009
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.917919734449003e-07,
+      "loss": 0.7817,
+      "step": 24010
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9154505408629177e-07,
+      "loss": 0.8628,
+      "step": 24011
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9129829223917928e-07,
+      "loss": 0.7416,
+      "step": 24012
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9105168790752527e-07,
+      "loss": 0.7855,
+      "step": 24013
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9080524109529096e-07,
+      "loss": 0.7125,
+      "step": 24014
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9055895180643213e-07,
+      "loss": 0.7204,
+      "step": 24015
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9031282004490447e-07,
+      "loss": 0.8247,
+      "step": 24016
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.900668458146593e-07,
+      "loss": 0.6831,
+      "step": 24017
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8982102911965006e-07,
+      "loss": 0.8789,
+      "step": 24018
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8957536996382142e-07,
+      "loss": 0.78,
+      "step": 24019
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.893298683511202e-07,
+      "loss": 0.7626,
+      "step": 24020
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8908452428548663e-07,
+      "loss": 0.7476,
+      "step": 24021
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8883933777086194e-07,
+      "loss": 0.8134,
+      "step": 24022
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8859430881118303e-07,
+      "loss": 0.6502,
+      "step": 24023
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8834943741038668e-07,
+      "loss": 0.8801,
+      "step": 24024
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8810472357240316e-07,
+      "loss": 0.8596,
+      "step": 24025
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8786016730116152e-07,
+      "loss": 0.7895,
+      "step": 24026
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8761576860059084e-07,
+      "loss": 0.7453,
+      "step": 24027
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8737152747461686e-07,
+      "loss": 0.656,
+      "step": 24028
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8712744392715864e-07,
+      "loss": 0.8374,
+      "step": 24029
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8688351796213865e-07,
+      "loss": 0.7129,
+      "step": 24030
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.866397495834704e-07,
+      "loss": 0.7578,
+      "step": 24031
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.86396138795073e-07,
+      "loss": 0.7364,
+      "step": 24032
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8615268560085665e-07,
+      "loss": 0.69,
+      "step": 24033
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.859093900047304e-07,
+      "loss": 0.7795,
+      "step": 24034
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8566625201060007e-07,
+      "loss": 0.7569,
+      "step": 24035
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8542327162237361e-07,
+      "loss": 0.7944,
+      "step": 24036
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8518044884395015e-07,
+      "loss": 0.7324,
+      "step": 24037
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8493778367923097e-07,
+      "loss": 0.8371,
+      "step": 24038
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8469527613210969e-07,
+      "loss": 0.9035,
+      "step": 24039
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8445292620648536e-07,
+      "loss": 0.5774,
+      "step": 24040
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.842107339062471e-07,
+      "loss": 0.7286,
+      "step": 24041
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8396869923528404e-07,
+      "loss": 0.6477,
+      "step": 24042
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8372682219748417e-07,
+      "loss": 0.6411,
+      "step": 24043
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8348510279672994e-07,
+      "loss": 0.6846,
+      "step": 24044
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8324354103690488e-07,
+      "loss": 0.7266,
+      "step": 24045
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8300213692188816e-07,
+      "loss": 0.7417,
+      "step": 24046
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8276089045555444e-07,
+      "loss": 0.7915,
+      "step": 24047
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8251980164177952e-07,
+      "loss": 0.7891,
+      "step": 24048
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.822788704844347e-07,
+      "loss": 0.7809,
+      "step": 24049
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8203809698738917e-07,
+      "loss": 0.7926,
+      "step": 24050
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8179748115450868e-07,
+      "loss": 0.7902,
+      "step": 24051
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8155702298965904e-07,
+      "loss": 0.689,
+      "step": 24052
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.813167224966994e-07,
+      "loss": 0.7205,
+      "step": 24053
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8107657967948889e-07,
+      "loss": 0.7646,
+      "step": 24054
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8083659454188663e-07,
+      "loss": 0.7684,
+      "step": 24055
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8059676708774289e-07,
+      "loss": 0.7417,
+      "step": 24056
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8035709732091123e-07,
+      "loss": 0.7496,
+      "step": 24057
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.801175852452397e-07,
+      "loss": 0.7634,
+      "step": 24058
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7987823086457524e-07,
+      "loss": 0.6996,
+      "step": 24059
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.796390341827603e-07,
+      "loss": 0.683,
+      "step": 24060
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7939999520363849e-07,
+      "loss": 0.7957,
+      "step": 24061
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7916111393104452e-07,
+      "loss": 0.7274,
+      "step": 24062
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7892239036881864e-07,
+      "loss": 0.7139,
+      "step": 24063
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7868382452079224e-07,
+      "loss": 0.8312,
+      "step": 24064
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.784454163907967e-07,
+      "loss": 0.7647,
+      "step": 24065
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.782071659826601e-07,
+      "loss": 0.619,
+      "step": 24066
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7796907330021042e-07,
+      "loss": 0.8889,
+      "step": 24067
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7773113834726796e-07,
+      "loss": 0.7034,
+      "step": 24068
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7749336112765747e-07,
+      "loss": 0.7552,
+      "step": 24069
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7725574164519365e-07,
+      "loss": 0.7594,
+      "step": 24070
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.770182799036946e-07,
+      "loss": 0.7416,
+      "step": 24071
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7678097590697275e-07,
+      "loss": 0.7363,
+      "step": 24072
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7654382965884066e-07,
+      "loss": 0.6296,
+      "step": 24073
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7630684116310416e-07,
+      "loss": 0.7712,
+      "step": 24074
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.760700104235691e-07,
+      "loss": 0.7511,
+      "step": 24075
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7583333744404018e-07,
+      "loss": 0.7357,
+      "step": 24076
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7559682222831887e-07,
+      "loss": 0.7265,
+      "step": 24077
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7536046478019987e-07,
+      "loss": 0.7385,
+      "step": 24078
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7512426510348234e-07,
+      "loss": 0.8203,
+      "step": 24079
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7488822320195665e-07,
+      "loss": 0.6952,
+      "step": 24080
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7465233907941636e-07,
+      "loss": 0.7714,
+      "step": 24081
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7441661273964628e-07,
+      "loss": 0.773,
+      "step": 24082
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7418104418643335e-07,
+      "loss": 0.864,
+      "step": 24083
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7394563342356008e-07,
+      "loss": 0.6982,
+      "step": 24084
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7371038045480792e-07,
+      "loss": 0.7361,
+      "step": 24085
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7347528528395386e-07,
+      "loss": 0.6745,
+      "step": 24086
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7324034791477374e-07,
+      "loss": 0.8597,
+      "step": 24087
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.73005568351039e-07,
+      "loss": 0.7725,
+      "step": 24088
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7277094659652104e-07,
+      "loss": 0.704,
+      "step": 24089
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.72536482654988e-07,
+      "loss": 0.6946,
+      "step": 24090
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7230217653020576e-07,
+      "loss": 0.6673,
+      "step": 24091
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.720680282259335e-07,
+      "loss": 0.7354,
+      "step": 24092
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7183403774593488e-07,
+      "loss": 0.6897,
+      "step": 24093
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.716002050939658e-07,
+      "loss": 0.7,
+      "step": 24094
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7136653027378214e-07,
+      "loss": 0.8919,
+      "step": 24095
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7113301328913535e-07,
+      "loss": 0.7222,
+      "step": 24096
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7089965414377685e-07,
+      "loss": 0.7941,
+      "step": 24097
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7066645284145367e-07,
+      "loss": 0.6237,
+      "step": 24098
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7043340938590946e-07,
+      "loss": 0.8219,
+      "step": 24099
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7020052378088793e-07,
+      "loss": 0.7048,
+      "step": 24100
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6996779603012825e-07,
+      "loss": 0.825,
+      "step": 24101
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.697352261373686e-07,
+      "loss": 0.829,
+      "step": 24102
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6950281410634262e-07,
+      "loss": 0.7486,
+      "step": 24103
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.69270559940784e-07,
+      "loss": 0.794,
+      "step": 24104
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6903846364442089e-07,
+      "loss": 0.7438,
+      "step": 24105
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.688065252209814e-07,
+      "loss": 0.7148,
+      "step": 24106
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6857474467418921e-07,
+      "loss": 0.7513,
+      "step": 24107
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6834312200776804e-07,
+      "loss": 0.6436,
+      "step": 24108
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.681116572254371e-07,
+      "loss": 0.8075,
+      "step": 24109
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.678803503309123e-07,
+      "loss": 0.7204,
+      "step": 24110
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.676492013279074e-07,
+      "loss": 0.7346,
+      "step": 24111
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6741821022013716e-07,
+      "loss": 0.6869,
+      "step": 24112
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.671873770113097e-07,
+      "loss": 0.8172,
+      "step": 24113
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6695670170513212e-07,
+      "loss": 0.7701,
+      "step": 24114
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6672618430530584e-07,
+      "loss": 0.6269,
+      "step": 24115
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6649582481553794e-07,
+      "loss": 0.6844,
+      "step": 24116
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6626562323952434e-07,
+      "loss": 0.7539,
+      "step": 24117
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6603557958096206e-07,
+      "loss": 0.7775,
+      "step": 24118
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6580569384354594e-07,
+      "loss": 0.8497,
+      "step": 24119
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6557596603096748e-07,
+      "loss": 0.6714,
+      "step": 24120
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6534639614691594e-07,
+      "loss": 0.6527,
+      "step": 24121
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6511698419507728e-07,
+      "loss": 0.8184,
+      "step": 24122
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6488773017913629e-07,
+      "loss": 0.7325,
+      "step": 24123
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.646586341027745e-07,
+      "loss": 0.7743,
+      "step": 24124
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6442969596967006e-07,
+      "loss": 0.7816,
+      "step": 24125
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6420091578350117e-07,
+      "loss": 0.8824,
+      "step": 24126
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.639722935479393e-07,
+      "loss": 0.9154,
+      "step": 24127
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6374382926665931e-07,
+      "loss": 0.7512,
+      "step": 24128
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6351552294332496e-07,
+      "loss": 0.714,
+      "step": 24129
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6328737458160771e-07,
+      "loss": 0.7012,
+      "step": 24130
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.63059384185168e-07,
+      "loss": 0.7998,
+      "step": 24131
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.628315517576695e-07,
+      "loss": 0.8904,
+      "step": 24132
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6260387730276827e-07,
+      "loss": 0.6143,
+      "step": 24133
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6237636082412135e-07,
+      "loss": 0.6893,
+      "step": 24134
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6214900232538356e-07,
+      "loss": 0.8366,
+      "step": 24135
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6192180181020645e-07,
+      "loss": 0.7605,
+      "step": 24136
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.61694759282236e-07,
+      "loss": 0.7771,
+      "step": 24137
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6146787474512037e-07,
+      "loss": 0.6993,
+      "step": 24138
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6124114820250225e-07,
+      "loss": 0.752,
+      "step": 24139
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6101457965802204e-07,
+      "loss": 0.7464,
+      "step": 24140
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6078816911531904e-07,
+      "loss": 0.816,
+      "step": 24141
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.605619165780281e-07,
+      "loss": 0.7219,
+      "step": 24142
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6033582204978526e-07,
+      "loss": 0.7721,
+      "step": 24143
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6010988553421757e-07,
+      "loss": 0.7348,
+      "step": 24144
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.5988410703495548e-07,
+      "loss": 0.6887,
+      "step": 24145
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.59658486555625e-07,
+      "loss": 0.7593,
+      "step": 24146
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.594330240998476e-07,
+      "loss": 0.7783,
+      "step": 24147
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.5920771967124494e-07,
+      "loss": 0.8293,
+      "step": 24148
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.5898257327343624e-07,
+      "loss": 0.8364,
+      "step": 24149
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.5875758491003422e-07,
+      "loss": 0.6384,
+      "step": 24150
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.585327545846549e-07,
+      "loss": 0.7529,
+      "step": 24151
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.5830808230090644e-07,
+      "loss": 0.7093,
+      "step": 24152
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5808356806239932e-07,
+      "loss": 0.6155,
+      "step": 24153
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5785921187273622e-07,
+      "loss": 0.6297,
+      "step": 24154
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5763501373552092e-07,
+      "loss": 0.8034,
+      "step": 24155
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.57410973654355e-07,
+      "loss": 0.7899,
+      "step": 24156
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5718709163283663e-07,
+      "loss": 0.809,
+      "step": 24157
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5696336767455743e-07,
+      "loss": 0.7943,
+      "step": 24158
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5673980178311455e-07,
+      "loss": 0.732,
+      "step": 24159
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5651639396209395e-07,
+      "loss": 0.7649,
+      "step": 24160
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5629314421508724e-07,
+      "loss": 0.6202,
+      "step": 24161
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.560700525456771e-07,
+      "loss": 0.6894,
+      "step": 24162
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5584711895744841e-07,
+      "loss": 0.7834,
+      "step": 24163
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5562434345397725e-07,
+      "loss": 0.8933,
+      "step": 24164
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5540172603884407e-07,
+      "loss": 0.6721,
+      "step": 24165
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5517926671562378e-07,
+      "loss": 0.6185,
+      "step": 24166
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5495696548788797e-07,
+      "loss": 0.7521,
+      "step": 24167
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5473482235920712e-07,
+      "loss": 0.7317,
+      "step": 24168
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5451283733314726e-07,
+      "loss": 0.7369,
+      "step": 24169
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5429101041327444e-07,
+      "loss": 0.7368,
+      "step": 24170
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5406934160315135e-07,
+      "loss": 0.7254,
+      "step": 24171
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5384783090633627e-07,
+      "loss": 0.67,
+      "step": 24172
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5362647832638743e-07,
+      "loss": 0.8154,
+      "step": 24173
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5340528386685872e-07,
+      "loss": 0.7283,
+      "step": 24174
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.531842475313039e-07,
+      "loss": 0.8236,
+      "step": 24175
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5296336932327016e-07,
+      "loss": 0.7723,
+      "step": 24176
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5274264924630578e-07,
+      "loss": 0.7972,
+      "step": 24177
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5252208730395567e-07,
+      "loss": 0.6987,
+      "step": 24178
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5230168349976037e-07,
+      "loss": 0.7971,
+      "step": 24179
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5208143783726038e-07,
+      "loss": 0.8325,
+      "step": 24180
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5186135031999394e-07,
+      "loss": 0.7575,
+      "step": 24181
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5164142095149158e-07,
+      "loss": 0.824,
+      "step": 24182
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5142164973528827e-07,
+      "loss": 0.7942,
+      "step": 24183
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.512020366749134e-07,
+      "loss": 0.6743,
+      "step": 24184
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.509825817738908e-07,
+      "loss": 0.6552,
+      "step": 24185
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5076328503574766e-07,
+      "loss": 0.7371,
+      "step": 24186
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.505441464640034e-07,
+      "loss": 0.7059,
+      "step": 24187
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5032516606217961e-07,
+      "loss": 0.7393,
+      "step": 24188
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.501063438337891e-07,
+      "loss": 0.8562,
+      "step": 24189
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4988767978235007e-07,
+      "loss": 0.6642,
+      "step": 24190
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4966917391137093e-07,
+      "loss": 0.902,
+      "step": 24191
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4945082622436212e-07,
+      "loss": 0.6836,
+      "step": 24192
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4923263672482978e-07,
+      "loss": 0.7543,
+      "step": 24193
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4901460541627777e-07,
+      "loss": 0.7779,
+      "step": 24194
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.487967323022066e-07,
+      "loss": 0.7384,
+      "step": 24195
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4857901738611569e-07,
+      "loss": 0.7043,
+      "step": 24196
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4836146067150113e-07,
+      "loss": 0.7081,
+      "step": 24197
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4814406216185685e-07,
+      "loss": 0.7592,
+      "step": 24198
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4792682186067442e-07,
+      "loss": 0.5976,
+      "step": 24199
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.477097397714411e-07,
+      "loss": 0.895,
+      "step": 24200
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.474928158976441e-07,
+      "loss": 0.804,
+      "step": 24201
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4727605024276615e-07,
+      "loss": 0.6866,
+      "step": 24202
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4705944281028893e-07,
+      "loss": 0.7251,
+      "step": 24203
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.468429936036919e-07,
+      "loss": 0.8202,
+      "step": 24204
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4662670262644784e-07,
+      "loss": 0.662,
+      "step": 24205
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4641056988203285e-07,
+      "loss": 0.8632,
+      "step": 24206
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4619459537391635e-07,
+      "loss": 0.6786,
+      "step": 24207
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.459787791055689e-07,
+      "loss": 0.7924,
+      "step": 24208
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4576312108045222e-07,
+      "loss": 0.7403,
+      "step": 24209
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4554762130203236e-07,
+      "loss": 0.7775,
+      "step": 24210
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4533227977376994e-07,
+      "loss": 0.817,
+      "step": 24211
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4511709649912332e-07,
+      "loss": 0.7429,
+      "step": 24212
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4490207148154522e-07,
+      "loss": 0.6891,
+      "step": 24213
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4468720472449182e-07,
+      "loss": 0.7465,
+      "step": 24214
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4447249623141258e-07,
+      "loss": 0.8029,
+      "step": 24215
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.442579460057558e-07,
+      "loss": 0.7523,
+      "step": 24216
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4404355405096548e-07,
+      "loss": 0.7143,
+      "step": 24217
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4382932037048547e-07,
+      "loss": 0.7927,
+      "step": 24218
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4361524496775636e-07,
+      "loss": 0.6642,
+      "step": 24219
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.434013278462165e-07,
+      "loss": 0.8415,
+      "step": 24220
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4318756900929986e-07,
+      "loss": 0.8506,
+      "step": 24221
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.429739684604392e-07,
+      "loss": 0.836,
+      "step": 24222
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4276052620306513e-07,
+      "loss": 0.6875,
+      "step": 24223
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.425472422406049e-07,
+      "loss": 0.8878,
+      "step": 24224
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4233411657648465e-07,
+      "loss": 0.7577,
+      "step": 24225
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.421211492141261e-07,
+      "loss": 0.6647,
+      "step": 24226
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4190834015694876e-07,
+      "loss": 0.7789,
+      "step": 24227
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4169568940837098e-07,
+      "loss": 0.6324,
+      "step": 24228
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.414831969718067e-07,
+      "loss": 0.8333,
+      "step": 24229
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.412708628506698e-07,
+      "loss": 0.6672,
+      "step": 24230
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4105868704836767e-07,
+      "loss": 0.7083,
+      "step": 24231
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4084666956831083e-07,
+      "loss": 0.7812,
+      "step": 24232
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4063481041390102e-07,
+      "loss": 0.8327,
+      "step": 24233
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4042310958854222e-07,
+      "loss": 0.8042,
+      "step": 24234
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.402115670956339e-07,
+      "loss": 0.7583,
+      "step": 24235
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.400001829385722e-07,
+      "loss": 0.7867,
+      "step": 24236
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3978895712075223e-07,
+      "loss": 0.7503,
+      "step": 24237
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3957788964556685e-07,
+      "loss": 0.8805,
+      "step": 24238
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.393669805164044e-07,
+      "loss": 0.7587,
+      "step": 24239
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.391562297366511e-07,
+      "loss": 0.5772,
+      "step": 24240
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3894563730969312e-07,
+      "loss": 0.7107,
+      "step": 24241
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.387352032389122e-07,
+      "loss": 0.8527,
+      "step": 24242
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3852492752768676e-07,
+      "loss": 0.6786,
+      "step": 24243
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3831481017939406e-07,
+      "loss": 0.7298,
+      "step": 24244
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3810485119740703e-07,
+      "loss": 0.6644,
+      "step": 24245
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3789505058509955e-07,
+      "loss": 0.6678,
+      "step": 24246
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.376854083458401e-07,
+      "loss": 0.7304,
+      "step": 24247
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3747592448299375e-07,
+      "loss": 0.8585,
+      "step": 24248
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3726659899992555e-07,
+      "loss": 0.763,
+      "step": 24249
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3705743189999732e-07,
+      "loss": 0.7377,
+      "step": 24250
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3684842318656854e-07,
+      "loss": 0.686,
+      "step": 24251
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3663957286299324e-07,
+      "loss": 0.7729,
+      "step": 24252
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3643088093262867e-07,
+      "loss": 0.5845,
+      "step": 24253
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3622234739882335e-07,
+      "loss": 0.7552,
+      "step": 24254
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3601397226492784e-07,
+      "loss": 0.8354,
+      "step": 24255
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.358057555342862e-07,
+      "loss": 0.6808,
+      "step": 24256
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3559769721024573e-07,
+      "loss": 0.6324,
+      "step": 24257
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3538979729614376e-07,
+      "loss": 0.7459,
+      "step": 24258
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3518205579532096e-07,
+      "loss": 0.7446,
+      "step": 24259
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3497447271111353e-07,
+      "loss": 0.6923,
+      "step": 24260
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3476704804685436e-07,
+      "loss": 0.8518,
+      "step": 24261
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3455978180587414e-07,
+      "loss": 0.8714,
+      "step": 24262
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3435267399150243e-07,
+      "loss": 0.6788,
+      "step": 24263
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3414572460706432e-07,
+      "loss": 0.6472,
+      "step": 24264
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3393893365588272e-07,
+      "loss": 0.7828,
+      "step": 24265
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3373230114127943e-07,
+      "loss": 0.8787,
+      "step": 24266
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.335258270665718e-07,
+      "loss": 0.7257,
+      "step": 24267
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3331951143507604e-07,
+      "loss": 0.8399,
+      "step": 24268
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.331133542501062e-07,
+      "loss": 0.7941,
+      "step": 24269
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.329073555149707e-07,
+      "loss": 0.7594,
+      "step": 24270
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3270151523297915e-07,
+      "loss": 0.9026,
+      "step": 24271
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3249583340743778e-07,
+      "loss": 0.8194,
+      "step": 24272
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3229031004164839e-07,
+      "loss": 0.7324,
+      "step": 24273
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3208494513891168e-07,
+      "loss": 0.7034,
+      "step": 24274
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3187973870252501e-07,
+      "loss": 0.8143,
+      "step": 24275
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3167469073578465e-07,
+      "loss": 0.8065,
+      "step": 24276
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3146980124198238e-07,
+      "loss": 0.7492,
+      "step": 24277
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3126507022441116e-07,
+      "loss": 0.6985,
+      "step": 24278
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.31060497686355e-07,
+      "loss": 0.7119,
+      "step": 24279
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3085608363110014e-07,
+      "loss": 0.5797,
+      "step": 24280
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3065182806193066e-07,
+      "loss": 0.7043,
+      "step": 24281
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3044773098212616e-07,
+      "loss": 0.9231,
+      "step": 24282
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.30243792394964e-07,
+      "loss": 0.8684,
+      "step": 24283
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3004001230371932e-07,
+      "loss": 0.8062,
+      "step": 24284
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2983639071166288e-07,
+      "loss": 0.8406,
+      "step": 24285
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2963292762206648e-07,
+      "loss": 0.7339,
+      "step": 24286
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.294296230381975e-07,
+      "loss": 0.7279,
+      "step": 24287
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2922647696332004e-07,
+      "loss": 0.7096,
+      "step": 24288
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2902348940069587e-07,
+      "loss": 0.6392,
+      "step": 24289
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2882066035358686e-07,
+      "loss": 0.8615,
+      "step": 24290
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.286179898252482e-07,
+      "loss": 0.7328,
+      "step": 24291
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2841547781893505e-07,
+      "loss": 0.6266,
+      "step": 24292
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2821312433789924e-07,
+      "loss": 0.7985,
+      "step": 24293
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2801092938539038e-07,
+      "loss": 0.7474,
+      "step": 24294
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2780889296465592e-07,
+      "loss": 0.7252,
+      "step": 24295
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2760701507894102e-07,
+      "loss": 0.6202,
+      "step": 24296
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.274052957314853e-07,
+      "loss": 0.6782,
+      "step": 24297
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.272037349255306e-07,
+      "loss": 0.6584,
+      "step": 24298
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2700233266431217e-07,
+      "loss": 0.879,
+      "step": 24299
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2680108895106514e-07,
+      "loss": 0.7319,
+      "step": 24300
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2660000378902026e-07,
+      "loss": 0.6865,
+      "step": 24301
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.263990771814072e-07,
+      "loss": 0.5951,
+      "step": 24302
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2619830913145225e-07,
+      "loss": 0.7379,
+      "step": 24303
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.259976996423806e-07,
+      "loss": 0.775,
+      "step": 24304
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2579724871741305e-07,
+      "loss": 0.7678,
+      "step": 24305
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.255969563597692e-07,
+      "loss": 0.8033,
+      "step": 24306
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2539682257266316e-07,
+      "loss": 0.8673,
+      "step": 24307
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2519684735931125e-07,
+      "loss": 0.8247,
+      "step": 24308
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2499703072292424e-07,
+      "loss": 0.7675,
+      "step": 24309
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2479737266671176e-07,
+      "loss": 0.6599,
+      "step": 24310
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2459787319387907e-07,
+      "loss": 0.6415,
+      "step": 24311
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.243985323076291e-07,
+      "loss": 0.6629,
+      "step": 24312
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.241993500111638e-07,
+      "loss": 0.8654,
+      "step": 24313
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2400032630768278e-07,
+      "loss": 0.7252,
+      "step": 24314
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2380146120038016e-07,
+      "loss": 0.782,
+      "step": 24315
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.236027546924512e-07,
+      "loss": 0.7762,
+      "step": 24316
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2340420678708664e-07,
+      "loss": 0.7518,
+      "step": 24317
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2320581748747286e-07,
+      "loss": 0.7632,
+      "step": 24318
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2300758679679835e-07,
+      "loss": 0.7458,
+      "step": 24319
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.228095147182462e-07,
+      "loss": 0.8529,
+      "step": 24320
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2261160125499495e-07,
+      "loss": 0.7375,
+      "step": 24321
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2241384641022425e-07,
+      "loss": 0.7341,
+      "step": 24322
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2221625018711158e-07,
+      "loss": 0.8962,
+      "step": 24323
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2201881258882775e-07,
+      "loss": 0.7201,
+      "step": 24324
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2182153361854244e-07,
+      "loss": 0.8611,
+      "step": 24325
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2162441327942642e-07,
+      "loss": 0.8069,
+      "step": 24326
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2142745157464498e-07,
+      "loss": 0.8341,
+      "step": 24327
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.212306485073589e-07,
+      "loss": 0.6803,
+      "step": 24328
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2103400408073006e-07,
+      "loss": 0.7903,
+      "step": 24329
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.20837518297916e-07,
+      "loss": 0.7737,
+      "step": 24330
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2064119116207195e-07,
+      "loss": 0.8855,
+      "step": 24331
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2044502267635093e-07,
+      "loss": 0.7827,
+      "step": 24332
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2024901284390377e-07,
+      "loss": 0.7281,
+      "step": 24333
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2005316166787574e-07,
+      "loss": 0.6648,
+      "step": 24334
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.198574691514154e-07,
+      "loss": 0.8239,
+      "step": 24335
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1966193529766356e-07,
+      "loss": 0.6512,
+      "step": 24336
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1946656010976e-07,
+      "loss": 0.7821,
+      "step": 24337
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1927134359084104e-07,
+      "loss": 0.6972,
+      "step": 24338
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1907628574404528e-07,
+      "loss": 0.6722,
+      "step": 24339
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1888138657250136e-07,
+      "loss": 0.8149,
+      "step": 24340
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1868664607934121e-07,
+      "loss": 0.8147,
+      "step": 24341
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1849206426769233e-07,
+      "loss": 0.7814,
+      "step": 24342
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1829764114067666e-07,
+      "loss": 0.8243,
+      "step": 24343
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1810337670141947e-07,
+      "loss": 0.7893,
+      "step": 24344
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.179092709530405e-07,
+      "loss": 0.5328,
+      "step": 24345
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1771532389865393e-07,
+      "loss": 0.7703,
+      "step": 24346
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1752153554137724e-07,
+      "loss": 0.7614,
+      "step": 24347
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1732790588432019e-07,
+      "loss": 0.7531,
+      "step": 24348
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1713443493059473e-07,
+      "loss": 0.7767,
+      "step": 24349
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1694112268330505e-07,
+      "loss": 0.6662,
+      "step": 24350
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1674796914555753e-07,
+      "loss": 0.7936,
+      "step": 24351
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1655497432045193e-07,
+      "loss": 0.7689,
+      "step": 24352
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1636213821109021e-07,
+      "loss": 0.6418,
+      "step": 24353
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1616946082056657e-07,
+      "loss": 0.7912,
+      "step": 24354
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1597694215197741e-07,
+      "loss": 0.7535,
+      "step": 24355
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1578458220841249e-07,
+      "loss": 0.7168,
+      "step": 24356
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1559238099296155e-07,
+      "loss": 0.7277,
+      "step": 24357
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1540033850871102e-07,
+      "loss": 0.6334,
+      "step": 24358
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.152084547587462e-07,
+      "loss": 0.7056,
+      "step": 24359
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1501672974614575e-07,
+      "loss": 0.7812,
+      "step": 24360
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1482516347399052e-07,
+      "loss": 0.7629,
+      "step": 24361
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1463375594535697e-07,
+      "loss": 0.7249,
+      "step": 24362
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1444250716331706e-07,
+      "loss": 0.7953,
+      "step": 24363
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.142514171309439e-07,
+      "loss": 0.741,
+      "step": 24364
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1406048585130503e-07,
+      "loss": 0.7778,
+      "step": 24365
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1386971332746798e-07,
+      "loss": 0.7334,
+      "step": 24366
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1367909956249479e-07,
+      "loss": 0.6253,
+      "step": 24367
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1348864455944742e-07,
+      "loss": 0.8019,
+      "step": 24368
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1329834832138232e-07,
+      "loss": 0.6821,
+      "step": 24369
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1310821085135815e-07,
+      "loss": 0.7541,
+      "step": 24370
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1291823215242693e-07,
+      "loss": 0.779,
+      "step": 24371
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1272841222764063e-07,
+      "loss": 0.6743,
+      "step": 24372
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1253875108004575e-07,
+      "loss": 0.8339,
+      "step": 24373
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1234924871268871e-07,
+      "loss": 0.8148,
+      "step": 24374
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1215990512861263e-07,
+      "loss": 0.654,
+      "step": 24375
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1197072033085844e-07,
+      "loss": 0.7398,
+      "step": 24376
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1178169432246477e-07,
+      "loss": 0.8334,
+      "step": 24377
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1159282710646591e-07,
+      "loss": 0.7631,
+      "step": 24378
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1140411868589496e-07,
+      "loss": 0.7113,
+      "step": 24379
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1121556906378394e-07,
+      "loss": 0.7395,
+      "step": 24380
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1102717824315823e-07,
+      "loss": 0.6813,
+      "step": 24381
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1083894622704539e-07,
+      "loss": 0.7524,
+      "step": 24382
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1065087301846633e-07,
+      "loss": 0.8405,
+      "step": 24383
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1046295862044309e-07,
+      "loss": 0.7548,
+      "step": 24384
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1027520303599215e-07,
+      "loss": 0.6127,
+      "step": 24385
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1008760626812997e-07,
+      "loss": 0.6649,
+      "step": 24386
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0990016831986639e-07,
+      "loss": 0.7429,
+      "step": 24387
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0971288919421341e-07,
+      "loss": 0.8749,
+      "step": 24388
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0952576889417866e-07,
+      "loss": 0.6477,
+      "step": 24389
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0933880742276748e-07,
+      "loss": 0.7805,
+      "step": 24390
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0915200478297972e-07,
+      "loss": 0.8032,
+      "step": 24391
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0896536097781741e-07,
+      "loss": 0.8882,
+      "step": 24392
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0877887601027704e-07,
+      "loss": 0.6801,
+      "step": 24393
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.085925498833551e-07,
+      "loss": 0.7094,
+      "step": 24394
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0840638260004033e-07,
+      "loss": 0.7506,
+      "step": 24395
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0822037416332475e-07,
+      "loss": 0.6978,
+      "step": 24396
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.080345245761949e-07,
+      "loss": 0.755,
+      "step": 24397
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0784883384163502e-07,
+      "loss": 0.6947,
+      "step": 24398
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0766330196262831e-07,
+      "loss": 0.7463,
+      "step": 24399
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0747792894215236e-07,
+      "loss": 0.7077,
+      "step": 24400
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0729271478318481e-07,
+      "loss": 0.7331,
+      "step": 24401
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0710765948869995e-07,
+      "loss": 0.7374,
+      "step": 24402
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0692276306166982e-07,
+      "loss": 0.7065,
+      "step": 24403
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0673802550506318e-07,
+      "loss": 0.8952,
+      "step": 24404
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0655344682184764e-07,
+      "loss": 0.7781,
+      "step": 24405
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.063690270149853e-07,
+      "loss": 0.775,
+      "step": 24406
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0618476608744043e-07,
+      "loss": 0.81,
+      "step": 24407
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0600066404216957e-07,
+      "loss": 0.7199,
+      "step": 24408
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0581672088213036e-07,
+      "loss": 0.7094,
+      "step": 24409
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0563293661027596e-07,
+      "loss": 0.578,
+      "step": 24410
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.054493112295596e-07,
+      "loss": 0.759,
+      "step": 24411
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0526584474292778e-07,
+      "loss": 0.7768,
+      "step": 24412
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0508253715332817e-07,
+      "loss": 0.6912,
+      "step": 24413
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0489938846370285e-07,
+      "loss": 0.5976,
+      "step": 24414
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0471639867699612e-07,
+      "loss": 0.7298,
+      "step": 24415
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0453356779614233e-07,
+      "loss": 0.691,
+      "step": 24416
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0435089582408131e-07,
+      "loss": 0.7871,
+      "step": 24417
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.041683827637452e-07,
+      "loss": 0.647,
+      "step": 24418
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0398602861806383e-07,
+      "loss": 0.7145,
+      "step": 24419
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0380383338996603e-07,
+      "loss": 0.5732,
+      "step": 24420
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.036217970823783e-07,
+      "loss": 0.7716,
+      "step": 24421
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0343991969822387e-07,
+      "loss": 0.6758,
+      "step": 24422
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0325820124042374e-07,
+      "loss": 0.7603,
+      "step": 24423
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0307664171189446e-07,
+      "loss": 0.7999,
+      "step": 24424
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0289524111555371e-07,
+      "loss": 0.7011,
+      "step": 24425
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.027139994543136e-07,
+      "loss": 0.8331,
+      "step": 24426
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0253291673108512e-07,
+      "loss": 0.9392,
+      "step": 24427
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0235199294877374e-07,
+      "loss": 0.7357,
+      "step": 24428
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0217122811028934e-07,
+      "loss": 0.8141,
+      "step": 24429
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0199062221853074e-07,
+      "loss": 0.8767,
+      "step": 24430
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0181017527640114e-07,
+      "loss": 0.8069,
+      "step": 24431
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.016298872867949e-07,
+      "loss": 0.7872,
+      "step": 24432
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0144975825261083e-07,
+      "loss": 0.7666,
+      "step": 24433
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0126978817673994e-07,
+      "loss": 0.795,
+      "step": 24434
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0108997706207324e-07,
+      "loss": 0.7318,
+      "step": 24435
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0091032491149621e-07,
+      "loss": 0.8185,
+      "step": 24436
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0073083172789543e-07,
+      "loss": 0.651,
+      "step": 24437
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0055149751415305e-07,
+      "loss": 0.6445,
+      "step": 24438
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0037232227314897e-07,
+      "loss": 0.7728,
+      "step": 24439
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0019330600776089e-07,
+      "loss": 0.7178,
+      "step": 24440
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0001444872086208e-07,
+      "loss": 0.6672,
+      "step": 24441
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.98357504153269e-08,
+      "loss": 0.6146,
+      "step": 24442
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.965721109402415e-08,
+      "loss": 0.7636,
+      "step": 24443
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.947883075981934e-08,
+      "loss": 0.7013,
+      "step": 24444
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.930060941557907e-08,
+      "loss": 0.7095,
+      "step": 24445
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.912254706416546e-08,
+      "loss": 0.7938,
+      "step": 24446
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.894464370843626e-08,
+      "loss": 0.8541,
+      "step": 24447
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.876689935125027e-08,
+      "loss": 0.636,
+      "step": 24448
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.858931399546079e-08,
+      "loss": 0.7333,
+      "step": 24449
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.841188764391996e-08,
+      "loss": 0.7491,
+      "step": 24450
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.82346202994755e-08,
+      "loss": 0.7615,
+      "step": 24451
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.805751196497737e-08,
+      "loss": 0.7296,
+      "step": 24452
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.788056264326661e-08,
+      "loss": 0.8381,
+      "step": 24453
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.770377233718543e-08,
+      "loss": 0.9362,
+      "step": 24454
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.752714104957372e-08,
+      "loss": 0.8056,
+      "step": 24455
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.735066878326816e-08,
+      "loss": 0.7671,
+      "step": 24456
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.7174355541102e-08,
+      "loss": 0.8557,
+      "step": 24457
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.699820132590742e-08,
+      "loss": 0.7468,
+      "step": 24458
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.682220614051108e-08,
+      "loss": 0.7373,
+      "step": 24459
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.664636998774179e-08,
+      "loss": 0.7338,
+      "step": 24460
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.647069287042176e-08,
+      "loss": 0.7615,
+      "step": 24461
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.629517479137318e-08,
+      "loss": 0.6603,
+      "step": 24462
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.611981575341267e-08,
+      "loss": 0.8806,
+      "step": 24463
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.594461575935909e-08,
+      "loss": 0.7485,
+      "step": 24464
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.576957481202353e-08,
+      "loss": 0.8207,
+      "step": 24465
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.55946929142193e-08,
+      "loss": 0.7716,
+      "step": 24466
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.541997006875192e-08,
+      "loss": 0.7741,
+      "step": 24467
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.524540627842915e-08,
+      "loss": 0.6906,
+      "step": 24468
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.50710015460543e-08,
+      "loss": 0.8782,
+      "step": 24469
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.489675587442737e-08,
+      "loss": 0.7968,
+      "step": 24470
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.47226692663461e-08,
+      "loss": 0.7386,
+      "step": 24471
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.454874172460715e-08,
+      "loss": 0.8478,
+      "step": 24472
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.437497325200385e-08,
+      "loss": 0.7856,
+      "step": 24473
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.420136385132505e-08,
+      "loss": 0.8195,
+      "step": 24474
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.402791352536078e-08,
+      "loss": 0.7579,
+      "step": 24475
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.385462227689435e-08,
+      "loss": 0.7252,
+      "step": 24476
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.368149010870909e-08,
+      "loss": 0.7452,
+      "step": 24477
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.350851702358721e-08,
+      "loss": 0.8893,
+      "step": 24478
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.333570302430428e-08,
+      "loss": 0.7105,
+      "step": 24479
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.316304811363696e-08,
+      "loss": 0.8122,
+      "step": 24480
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.299055229435527e-08,
+      "loss": 0.7789,
+      "step": 24481
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.281821556923365e-08,
+      "loss": 0.8454,
+      "step": 24482
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.264603794103544e-08,
+      "loss": 0.7151,
+      "step": 24483
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.247401941252732e-08,
+      "loss": 0.6305,
+      "step": 24484
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.230215998647263e-08,
+      "loss": 0.7307,
+      "step": 24485
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.213045966562917e-08,
+      "loss": 0.7089,
+      "step": 24486
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.195891845275473e-08,
+      "loss": 0.8664,
+      "step": 24487
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.1787536350606e-08,
+      "loss": 0.7505,
+      "step": 24488
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.1616313361933e-08,
+      "loss": 0.7639,
+      "step": 24489
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.144524948948685e-08,
+      "loss": 0.7094,
+      "step": 24490
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.127434473601315e-08,
+      "loss": 0.6519,
+      "step": 24491
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.110359910425748e-08,
+      "loss": 0.7286,
+      "step": 24492
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.093301259696096e-08,
+      "loss": 0.6314,
+      "step": 24493
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.076258521686366e-08,
+      "loss": 0.8037,
+      "step": 24494
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.059231696670334e-08,
+      "loss": 0.73,
+      "step": 24495
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.04222078492123e-08,
+      "loss": 0.7937,
+      "step": 24496
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.025225786712388e-08,
+      "loss": 0.6969,
+      "step": 24497
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.008246702316481e-08,
+      "loss": 0.7712,
+      "step": 24498
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.991283532006511e-08,
+      "loss": 0.7461,
+      "step": 24499
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.974336276054707e-08,
+      "loss": 0.8249,
+      "step": 24500
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.957404934733183e-08,
+      "loss": 0.7462,
+      "step": 24501
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.940489508313944e-08,
+      "loss": 0.7024,
+      "step": 24502
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.923589997068549e-08,
+      "loss": 0.8205,
+      "step": 24503
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.906706401268339e-08,
+      "loss": 0.6912,
+      "step": 24504
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.889838721184652e-08,
+      "loss": 0.7458,
+      "step": 24505
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.872986957088159e-08,
+      "loss": 0.7113,
+      "step": 24506
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.856151109249533e-08,
+      "loss": 0.725,
+      "step": 24507
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.839331177939114e-08,
+      "loss": 0.7583,
+      "step": 24508
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.822527163427131e-08,
+      "loss": 0.8317,
+      "step": 24509
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.805739065983254e-08,
+      "loss": 0.6334,
+      "step": 24510
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.78896688587727e-08,
+      "loss": 0.7255,
+      "step": 24511
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.772210623378297e-08,
+      "loss": 0.7246,
+      "step": 24512
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.755470278755674e-08,
+      "loss": 0.7566,
+      "step": 24513
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.738745852278075e-08,
+      "loss": 0.6135,
+      "step": 24514
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.722037344214062e-08,
+      "loss": 0.7531,
+      "step": 24515
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.705344754831979e-08,
+      "loss": 0.8002,
+      "step": 24516
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.688668084399942e-08,
+      "loss": 0.7644,
+      "step": 24517
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.672007333185628e-08,
+      "loss": 0.8298,
+      "step": 24518
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.655362501456821e-08,
+      "loss": 0.6813,
+      "step": 24519
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.63873358948053e-08,
+      "loss": 0.795,
+      "step": 24520
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.622120597523986e-08,
+      "loss": 0.662,
+      "step": 24521
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.605523525853865e-08,
+      "loss": 0.7871,
+      "step": 24522
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.588942374736841e-08,
+      "loss": 0.7967,
+      "step": 24523
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.572377144439037e-08,
+      "loss": 0.6944,
+      "step": 24524
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.555827835226571e-08,
+      "loss": 0.7207,
+      "step": 24525
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.53929444736501e-08,
+      "loss": 0.8311,
+      "step": 24526
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.522776981120251e-08,
+      "loss": 0.9229,
+      "step": 24527
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.506275436757083e-08,
+      "loss": 0.6696,
+      "step": 24528
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.48978981454096e-08,
+      "loss": 0.6945,
+      "step": 24529
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.473320114736228e-08,
+      "loss": 0.7912,
+      "step": 24530
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.45686633760745e-08,
+      "loss": 0.6843,
+      "step": 24531
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.440428483418972e-08,
+      "loss": 0.9254,
+      "step": 24532
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.424006552434805e-08,
+      "loss": 0.8172,
+      "step": 24533
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.407600544918515e-08,
+      "loss": 0.7569,
+      "step": 24534
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.39121046113367e-08,
+      "loss": 0.7476,
+      "step": 24535
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.374836301343393e-08,
+      "loss": 0.7264,
+      "step": 24536
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.358478065810693e-08,
+      "loss": 0.7691,
+      "step": 24537
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.342135754798253e-08,
+      "loss": 0.8352,
+      "step": 24538
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.325809368568417e-08,
+      "loss": 0.7193,
+      "step": 24539
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.309498907383528e-08,
+      "loss": 0.7356,
+      "step": 24540
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.293204371505381e-08,
+      "loss": 0.7125,
+      "step": 24541
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.276925761195654e-08,
+      "loss": 0.7842,
+      "step": 24542
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.260663076715913e-08,
+      "loss": 0.6682,
+      "step": 24543
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.244416318327175e-08,
+      "loss": 0.7949,
+      "step": 24544
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.228185486290341e-08,
+      "loss": 0.796,
+      "step": 24545
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.211970580866091e-08,
+      "loss": 0.7961,
+      "step": 24546
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.195771602314773e-08,
+      "loss": 0.8322,
+      "step": 24547
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.179588550896622e-08,
+      "loss": 0.7304,
+      "step": 24548
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.163421426871432e-08,
+      "loss": 0.7756,
+      "step": 24549
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.147270230498883e-08,
+      "loss": 0.7104,
+      "step": 24550
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.131134962038211e-08,
+      "loss": 0.7531,
+      "step": 24551
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.115015621748768e-08,
+      "loss": 0.8306,
+      "step": 24552
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.09891220988912e-08,
+      "loss": 0.7833,
+      "step": 24553
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.082824726718174e-08,
+      "loss": 0.6807,
+      "step": 24554
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.066753172494057e-08,
+      "loss": 0.7573,
+      "step": 24555
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.050697547475006e-08,
+      "loss": 0.7525,
+      "step": 24556
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.034657851918592e-08,
+      "loss": 0.7548,
+      "step": 24557
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.018634086082721e-08,
+      "loss": 0.8047,
+      "step": 24558
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.002626250224521e-08,
+      "loss": 0.8483,
+      "step": 24559
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.986634344601119e-08,
+      "loss": 0.7401,
+      "step": 24560
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.970658369469198e-08,
+      "loss": 0.7178,
+      "step": 24561
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.954698325085553e-08,
+      "loss": 0.6821,
+      "step": 24562
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.938754211706312e-08,
+      "loss": 0.6527,
+      "step": 24563
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.922826029587494e-08,
+      "loss": 0.7164,
+      "step": 24564
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.906913778985004e-08,
+      "loss": 0.6428,
+      "step": 24565
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.891017460154305e-08,
+      "loss": 0.7377,
+      "step": 24566
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.875137073350636e-08,
+      "loss": 0.7168,
+      "step": 24567
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.859272618829239e-08,
+      "loss": 0.678,
+      "step": 24568
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.843424096844576e-08,
+      "loss": 0.7476,
+      "step": 24569
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.827591507651222e-08,
+      "loss": 0.7588,
+      "step": 24570
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.811774851503528e-08,
+      "loss": 0.8069,
+      "step": 24571
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.795974128655514e-08,
+      "loss": 0.8122,
+      "step": 24572
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.780189339360755e-08,
+      "loss": 0.7811,
+      "step": 24573
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.764420483872937e-08,
+      "loss": 0.9078,
+      "step": 24574
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.748667562445078e-08,
+      "loss": 0.7119,
+      "step": 24575
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.732930575330422e-08,
+      "loss": 0.9282,
+      "step": 24576
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.717209522781322e-08,
+      "loss": 0.7477,
+      "step": 24577
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.701504405050575e-08,
+      "loss": 0.7925,
+      "step": 24578
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.685815222390202e-08,
+      "loss": 0.7918,
+      "step": 24579
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.670141975052226e-08,
+      "loss": 0.7018,
+      "step": 24580
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.65448466328822e-08,
+      "loss": 0.892,
+      "step": 24581
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.638843287349873e-08,
+      "loss": 0.7422,
+      "step": 24582
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.623217847488096e-08,
+      "loss": 0.5854,
+      "step": 24583
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.607608343953909e-08,
+      "loss": 0.7222,
+      "step": 24584
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.592014776998003e-08,
+      "loss": 0.7332,
+      "step": 24585
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.57643714687084e-08,
+      "loss": 0.7788,
+      "step": 24586
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.560875453822447e-08,
+      "loss": 0.6863,
+      "step": 24587
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.545329698102843e-08,
+      "loss": 0.7247,
+      "step": 24588
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.529799879961608e-08,
+      "loss": 0.7173,
+      "step": 24589
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.514285999648208e-08,
+      "loss": 0.7213,
+      "step": 24590
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.498788057411665e-08,
+      "loss": 0.6909,
+      "step": 24591
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.483306053500894e-08,
+      "loss": 0.7429,
+      "step": 24592
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.467839988164583e-08,
+      "loss": 0.7943,
+      "step": 24593
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.452389861650977e-08,
+      "loss": 0.7475,
+      "step": 24594
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.436955674208324e-08,
+      "loss": 0.7462,
+      "step": 24595
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.421537426084425e-08,
+      "loss": 0.772,
+      "step": 24596
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.406135117526858e-08,
+      "loss": 0.8401,
+      "step": 24597
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.390748748782873e-08,
+      "loss": 0.6679,
+      "step": 24598
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.375378320099824e-08,
+      "loss": 0.8244,
+      "step": 24599
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.360023831724183e-08,
+      "loss": 0.7415,
+      "step": 24600
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.344685283902863e-08,
+      "loss": 0.7266,
+      "step": 24601
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.32936267688189e-08,
+      "loss": 0.706,
+      "step": 24602
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.314056010907622e-08,
+      "loss": 0.7067,
+      "step": 24603
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.298765286225639e-08,
+      "loss": 0.8721,
+      "step": 24604
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.283490503081636e-08,
+      "loss": 0.7323,
+      "step": 24605
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.268231661720637e-08,
+      "loss": 0.7422,
+      "step": 24606
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.252988762388003e-08,
+      "loss": 0.728,
+      "step": 24607
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.237761805328425e-08,
+      "loss": 0.6697,
+      "step": 24608
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.222550790786376e-08,
+      "loss": 0.7557,
+      "step": 24609
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.207355719005993e-08,
+      "loss": 0.7125,
+      "step": 24610
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.192176590231636e-08,
+      "loss": 0.6475,
+      "step": 24611
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.177013404706779e-08,
+      "loss": 0.8257,
+      "step": 24612
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.161866162675001e-08,
+      "loss": 0.7729,
+      "step": 24613
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.146734864379556e-08,
+      "loss": 0.9049,
+      "step": 24614
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.13161951006347e-08,
+      "loss": 0.8078,
+      "step": 24615
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.116520099969437e-08,
+      "loss": 0.77,
+      "step": 24616
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.101436634339931e-08,
+      "loss": 0.9418,
+      "step": 24617
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.086369113417201e-08,
+      "loss": 0.7279,
+      "step": 24618
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.071317537443167e-08,
+      "loss": 0.8128,
+      "step": 24619
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.056281906659524e-08,
+      "loss": 0.8382,
+      "step": 24620
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.041262221307854e-08,
+      "loss": 0.8591,
+      "step": 24621
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.02625848162919e-08,
+      "loss": 0.8134,
+      "step": 24622
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.011270687864557e-08,
+      "loss": 0.7744,
+      "step": 24623
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.996298840254656e-08,
+      "loss": 0.8039,
+      "step": 24624
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.981342939039848e-08,
+      "loss": 0.8362,
+      "step": 24625
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.966402984460385e-08,
+      "loss": 0.8234,
+      "step": 24626
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.951478976756188e-08,
+      "loss": 0.7311,
+      "step": 24627
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.93657091616684e-08,
+      "loss": 0.799,
+      "step": 24628
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.92167880293182e-08,
+      "loss": 0.7212,
+      "step": 24629
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.906802637290266e-08,
+      "loss": 0.6037,
+      "step": 24630
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.891942419480879e-08,
+      "loss": 0.5756,
+      "step": 24631
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.877098149742579e-08,
+      "loss": 0.7748,
+      "step": 24632
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.862269828313616e-08,
+      "loss": 0.7519,
+      "step": 24633
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.847457455432249e-08,
+      "loss": 0.7952,
+      "step": 24634
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.832661031336063e-08,
+      "loss": 0.7093,
+      "step": 24635
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.817880556262868e-08,
+      "loss": 0.778,
+      "step": 24636
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.803116030449919e-08,
+      "loss": 0.7974,
+      "step": 24637
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.788367454134581e-08,
+      "loss": 0.7402,
+      "step": 24638
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.773634827553333e-08,
+      "loss": 0.7986,
+      "step": 24639
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.758918150942984e-08,
+      "loss": 0.5745,
+      "step": 24640
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.74421742453979e-08,
+      "loss": 0.683,
+      "step": 24641
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.729532648579895e-08,
+      "loss": 0.6813,
+      "step": 24642
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.714863823299e-08,
+      "loss": 0.7295,
+      "step": 24643
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.700210948932805e-08,
+      "loss": 0.8533,
+      "step": 24644
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.685574025716457e-08,
+      "loss": 0.7916,
+      "step": 24645
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.670953053885099e-08,
+      "loss": 0.6159,
+      "step": 24646
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.656348033673654e-08,
+      "loss": 0.7559,
+      "step": 24647
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.64175896531638e-08,
+      "loss": 0.7647,
+      "step": 24648
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.627185849047868e-08,
+      "loss": 0.691,
+      "step": 24649
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.61262868510193e-08,
+      "loss": 0.8304,
+      "step": 24650
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.598087473712267e-08,
+      "loss": 0.8811,
+      "step": 24651
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.583562215112582e-08,
+      "loss": 0.8177,
+      "step": 24652
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.569052909536134e-08,
+      "loss": 0.7801,
+      "step": 24653
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.554559557215844e-08,
+      "loss": 0.7994,
+      "step": 24654
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.540082158384309e-08,
+      "loss": 0.7391,
+      "step": 24655
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.52562071327445e-08,
+      "loss": 0.7015,
+      "step": 24656
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.511175222117971e-08,
+      "loss": 0.8909,
+      "step": 24657
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.496745685147355e-08,
+      "loss": 0.8809,
+      "step": 24658
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.482332102593858e-08,
+      "loss": 0.8129,
+      "step": 24659
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.467934474689296e-08,
+      "loss": 0.9494,
+      "step": 24660
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.453552801664708e-08,
+      "loss": 0.6599,
+      "step": 24661
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.43918708375102e-08,
+      "loss": 0.8284,
+      "step": 24662
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.424837321179045e-08,
+      "loss": 0.9078,
+      "step": 24663
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.410503514179157e-08,
+      "loss": 0.7304,
+      "step": 24664
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.396185662981502e-08,
+      "loss": 0.7217,
+      "step": 24665
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.381883767816122e-08,
+      "loss": 0.7492,
+      "step": 24666
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.367597828912609e-08,
+      "loss": 0.7957,
+      "step": 24667
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.353327846500335e-08,
+      "loss": 0.8154,
+      "step": 24668
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.339073820808561e-08,
+      "loss": 0.7917,
+      "step": 24669
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.324835752065994e-08,
+      "loss": 0.6485,
+      "step": 24670
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.310613640501562e-08,
+      "loss": 0.7596,
+      "step": 24671
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.296407486343525e-08,
+      "loss": 0.8266,
+      "step": 24672
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.282217289819925e-08,
+      "loss": 0.6753,
+      "step": 24673
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.26804305115869e-08,
+      "loss": 0.5877,
+      "step": 24674
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.253884770587636e-08,
+      "loss": 0.7477,
+      "step": 24675
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.239742448333807e-08,
+      "loss": 0.764,
+      "step": 24676
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.225616084624463e-08,
+      "loss": 0.7288,
+      "step": 24677
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.211505679686536e-08,
+      "loss": 0.662,
+      "step": 24678
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.197411233746509e-08,
+      "loss": 0.7577,
+      "step": 24679
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.183332747030757e-08,
+      "loss": 0.7401,
+      "step": 24680
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.169270219765322e-08,
+      "loss": 0.7327,
+      "step": 24681
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.155223652176023e-08,
+      "loss": 0.682,
+      "step": 24682
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.141193044488569e-08,
+      "loss": 0.6677,
+      "step": 24683
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.127178396928224e-08,
+      "loss": 0.7973,
+      "step": 24684
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.113179709719919e-08,
+      "loss": 0.661,
+      "step": 24685
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.099196983088473e-08,
+      "loss": 0.7004,
+      "step": 24686
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.085230217258597e-08,
+      "loss": 0.7981,
+      "step": 24687
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.071279412454445e-08,
+      "loss": 0.6132,
+      "step": 24688
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.05734456890017e-08,
+      "loss": 0.837,
+      "step": 24689
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.043425686819371e-08,
+      "loss": 0.7355,
+      "step": 24690
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.029522766435648e-08,
+      "loss": 0.7458,
+      "step": 24691
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.015635807972265e-08,
+      "loss": 0.8062,
+      "step": 24692
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.001764811652378e-08,
+      "loss": 0.8369,
+      "step": 24693
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.987909777698475e-08,
+      "loss": 0.6463,
+      "step": 24694
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.974070706333157e-08,
+      "loss": 0.6726,
+      "step": 24695
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.96024759777869e-08,
+      "loss": 0.7391,
+      "step": 24696
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.9464404522571185e-08,
+      "loss": 0.7139,
+      "step": 24697
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.932649269990043e-08,
+      "loss": 0.6807,
+      "step": 24698
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.9188740511989526e-08,
+      "loss": 0.7136,
+      "step": 24699
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.905114796105116e-08,
+      "loss": 0.6704,
+      "step": 24700
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.891371504929466e-08,
+      "loss": 0.7335,
+      "step": 24701
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.8776441778927165e-08,
+      "loss": 0.8124,
+      "step": 24702
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.8639328152153566e-08,
+      "loss": 0.8719,
+      "step": 24703
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.8502374171174324e-08,
+      "loss": 0.6231,
+      "step": 24704
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.836557983818991e-08,
+      "loss": 0.7615,
+      "step": 24705
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.8228945155396344e-08,
+      "loss": 0.8265,
+      "step": 24706
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.809247012498853e-08,
+      "loss": 0.6773,
+      "step": 24707
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.795615474915694e-08,
+      "loss": 0.7427,
+      "step": 24708
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.781999903009206e-08,
+      "loss": 0.8053,
+      "step": 24709
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.768400296997989e-08,
+      "loss": 0.7109,
+      "step": 24710
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.754816657100426e-08,
+      "loss": 0.7208,
+      "step": 24711
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.741248983534675e-08,
+      "loss": 0.7295,
+      "step": 24712
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.727697276518451e-08,
+      "loss": 0.8719,
+      "step": 24713
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.714161536269691e-08,
+      "loss": 0.8343,
+      "step": 24714
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.700641763005443e-08,
+      "loss": 0.7097,
+      "step": 24715
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.6871379569430894e-08,
+      "loss": 0.9718,
+      "step": 24716
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.673650118299234e-08,
+      "loss": 0.8044,
+      "step": 24717
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.660178247290704e-08,
+      "loss": 0.8621,
+      "step": 24718
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.646722344133659e-08,
+      "loss": 0.7455,
+      "step": 24719
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.633282409044372e-08,
+      "loss": 0.8375,
+      "step": 24720
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.619858442238446e-08,
+      "loss": 0.7691,
+      "step": 24721
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.606450443931488e-08,
+      "loss": 0.6972,
+      "step": 24722
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.593058414338992e-08,
+      "loss": 0.8093,
+      "step": 24723
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.579682353676008e-08,
+      "loss": 0.7892,
+      "step": 24724
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.566322262157142e-08,
+      "loss": 0.835,
+      "step": 24725
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.5529781399970005e-08,
+      "loss": 0.7381,
+      "step": 24726
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.539649987409967e-08,
+      "loss": 0.6838,
+      "step": 24727
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.526337804610094e-08,
+      "loss": 0.7576,
+      "step": 24728
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.513041591810986e-08,
+      "loss": 0.729,
+      "step": 24729
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.4997613492263626e-08,
+      "loss": 0.8513,
+      "step": 24730
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.486497077069275e-08,
+      "loss": 0.8006,
+      "step": 24731
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.473248775552997e-08,
+      "loss": 0.7042,
+      "step": 24732
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.460016444890026e-08,
+      "loss": 0.8236,
+      "step": 24733
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.4468000852929695e-08,
+      "loss": 0.776,
+      "step": 24734
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.433599696974101e-08,
+      "loss": 0.7377,
+      "step": 24735
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.420415280145364e-08,
+      "loss": 0.7205,
+      "step": 24736
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.407246835018365e-08,
+      "loss": 0.8053,
+      "step": 24737
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.394094361804825e-08,
+      "loss": 0.8952,
+      "step": 24738
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.380957860715796e-08,
+      "loss": 0.7427,
+      "step": 24739
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.367837331962222e-08,
+      "loss": 0.8159,
+      "step": 24740
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.354732775754823e-08,
+      "loss": 0.6765,
+      "step": 24741
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.3416441923040964e-08,
+      "loss": 0.9375,
+      "step": 24742
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.328571581820208e-08,
+      "loss": 0.9013,
+      "step": 24743
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.3155149445129895e-08,
+      "loss": 0.7486,
+      "step": 24744
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.3024742805921625e-08,
+      "loss": 0.7131,
+      "step": 24745
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.289449590267337e-08,
+      "loss": 0.66,
+      "step": 24746
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.2764408737473464e-08,
+      "loss": 0.7424,
+      "step": 24747
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.2634481312413555e-08,
+      "loss": 0.6881,
+      "step": 24748
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.250471362957865e-08,
+      "loss": 0.8527,
+      "step": 24749
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.237510569105375e-08,
+      "loss": 0.7592,
+      "step": 24750
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.22456574989183e-08,
+      "loss": 0.7788,
+      "step": 24751
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.211636905525397e-08,
+      "loss": 0.7757,
+      "step": 24752
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.198724036213465e-08,
+      "loss": 0.6609,
+      "step": 24753
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.1858271421634245e-08,
+      "loss": 0.9114,
+      "step": 24754
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.172946223582442e-08,
+      "loss": 0.7596,
+      "step": 24755
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.160081280677465e-08,
+      "loss": 0.7361,
+      "step": 24756
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.147232313654882e-08,
+      "loss": 0.8325,
+      "step": 24757
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.1343993227210845e-08,
+      "loss": 0.6732,
+      "step": 24758
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.12158230808224e-08,
+      "loss": 0.8992,
+      "step": 24759
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.108781269944185e-08,
+      "loss": 0.7845,
+      "step": 24760
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.095996208512311e-08,
+      "loss": 0.7007,
+      "step": 24761
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.083227123992118e-08,
+      "loss": 0.8835,
+      "step": 24762
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.070474016588667e-08,
+      "loss": 0.9228,
+      "step": 24763
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.057736886506681e-08,
+      "loss": 0.8676,
+      "step": 24764
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.0450157339506646e-08,
+      "loss": 0.7889,
+      "step": 24765
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.032310559124898e-08,
+      "loss": 0.8175,
+      "step": 24766
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.019621362233551e-08,
+      "loss": 0.7073,
+      "step": 24767
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.0069481434802395e-08,
+      "loss": 0.6731,
+      "step": 24768
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.9942909030685774e-08,
+      "loss": 0.899,
+      "step": 24769
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.981649641201736e-08,
+      "loss": 0.7091,
+      "step": 24770
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.969024358082775e-08,
+      "loss": 0.7781,
+      "step": 24771
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.956415053914532e-08,
+      "loss": 0.567,
+      "step": 24772
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.9438217288994005e-08,
+      "loss": 0.6825,
+      "step": 24773
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.931244383239553e-08,
+      "loss": 0.7231,
+      "step": 24774
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.918683017137049e-08,
+      "loss": 0.7701,
+      "step": 24775
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.906137630793506e-08,
+      "loss": 0.8131,
+      "step": 24776
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.89360822441054e-08,
+      "loss": 0.8548,
+      "step": 24777
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.881094798189323e-08,
+      "loss": 0.7808,
+      "step": 24778
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.8685973523308064e-08,
+      "loss": 0.8401,
+      "step": 24779
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.856115887035495e-08,
+      "loss": 0.7841,
+      "step": 24780
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.8436504025041185e-08,
+      "loss": 0.8079,
+      "step": 24781
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.831200898936628e-08,
+      "loss": 0.6903,
+      "step": 24782
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.818767376533084e-08,
+      "loss": 0.7912,
+      "step": 24783
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.806349835492996e-08,
+      "loss": 0.7847,
+      "step": 24784
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.7939482760160915e-08,
+      "loss": 0.739,
+      "step": 24785
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.781562698301101e-08,
+      "loss": 0.6275,
+      "step": 24786
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.7691931025473095e-08,
+      "loss": 0.8095,
+      "step": 24787
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.756839488953113e-08,
+      "loss": 0.6924,
+      "step": 24788
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.74450185771691e-08,
+      "loss": 0.7844,
+      "step": 24789
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.732180209036985e-08,
+      "loss": 0.7106,
+      "step": 24790
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.719874543111069e-08,
+      "loss": 0.7511,
+      "step": 24791
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.7075848601367825e-08,
+      "loss": 0.7862,
+      "step": 24792
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.695311160311522e-08,
+      "loss": 0.7341,
+      "step": 24793
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.6830534438323524e-08,
+      "loss": 0.7272,
+      "step": 24794
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.670811710896117e-08,
+      "loss": 0.7169,
+      "step": 24795
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.6585859616995464e-08,
+      "loss": 0.8461,
+      "step": 24796
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.6463761964388176e-08,
+      "loss": 0.7604,
+      "step": 24797
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.634182415309996e-08,
+      "loss": 0.7789,
+      "step": 24798
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.622004618508924e-08,
+      "loss": 0.821,
+      "step": 24799
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.609842806231224e-08,
+      "loss": 0.754,
+      "step": 24800
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.597696978672073e-08,
+      "loss": 0.8685,
+      "step": 24801
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.5855671360267585e-08,
+      "loss": 0.7669,
+      "step": 24802
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.573453278489792e-08,
+      "loss": 0.7015,
+      "step": 24803
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.561355406255796e-08,
+      "loss": 0.7176,
+      "step": 24804
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.549273519519171e-08,
+      "loss": 0.6842,
+      "step": 24805
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.53720761847376e-08,
+      "loss": 0.7967,
+      "step": 24806
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.525157703313521e-08,
+      "loss": 0.7184,
+      "step": 24807
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.513123774231742e-08,
+      "loss": 0.695,
+      "step": 24808
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.501105831421826e-08,
+      "loss": 0.8044,
+      "step": 24809
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.489103875076728e-08,
+      "loss": 0.791,
+      "step": 24810
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.4771179053891835e-08,
+      "loss": 0.6683,
+      "step": 24811
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.465147922551705e-08,
+      "loss": 0.8019,
+      "step": 24812
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.453193926756361e-08,
+      "loss": 0.7402,
+      "step": 24813
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.441255918195331e-08,
+      "loss": 0.6266,
+      "step": 24814
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.4293338970601284e-08,
+      "loss": 0.6856,
+      "step": 24815
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.4174278635423787e-08,
+      "loss": 0.7637,
+      "step": 24816
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.40553781783315e-08,
+      "loss": 0.6249,
+      "step": 24817
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.393663760123512e-08,
+      "loss": 0.7535,
+      "step": 24818
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.381805690604091e-08,
+      "loss": 0.7843,
+      "step": 24819
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.3699636094651773e-08,
+      "loss": 0.7701,
+      "step": 24820
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.3581375168970654e-08,
+      "loss": 0.8675,
+      "step": 24821
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.346327413089713e-08,
+      "loss": 0.7933,
+      "step": 24822
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.334533298232746e-08,
+      "loss": 0.811,
+      "step": 24823
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.322755172515458e-08,
+      "loss": 0.7094,
+      "step": 24824
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.310993036127142e-08,
+      "loss": 0.6237,
+      "step": 24825
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.2992468892565365e-08,
+      "loss": 0.7717,
+      "step": 24826
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.2875167320923786e-08,
+      "loss": 0.7452,
+      "step": 24827
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.275802564823073e-08,
+      "loss": 0.775,
+      "step": 24828
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.2641043876364694e-08,
+      "loss": 0.6695,
+      "step": 24829
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.252422200720863e-08,
+      "loss": 0.6568,
+      "step": 24830
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.2407560042634355e-08,
+      "loss": 0.696,
+      "step": 24831
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.229105798451816e-08,
+      "loss": 0.9549,
+      "step": 24832
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.217471583472965e-08,
+      "loss": 0.8682,
+      "step": 24833
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.205853359513623e-08,
+      "loss": 0.7743,
+      "step": 24834
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.19425112676064e-08,
+      "loss": 0.681,
+      "step": 24835
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.182664885400089e-08,
+      "loss": 0.7118,
+      "step": 24836
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.171094635618045e-08,
+      "loss": 0.8365,
+      "step": 24837
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.1595403776004684e-08,
+      "loss": 0.7971,
+      "step": 24838
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.148002111532767e-08,
+      "loss": 0.801,
+      "step": 24839
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.136479837600349e-08,
+      "loss": 0.6592,
+      "step": 24840
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.1249735559881764e-08,
+      "loss": 0.8079,
+      "step": 24841
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.113483266880991e-08,
+      "loss": 0.7959,
+      "step": 24842
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.1020089704633115e-08,
+      "loss": 0.77,
+      "step": 24843
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.090550666919546e-08,
+      "loss": 0.6676,
+      "step": 24844
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.0791083564334365e-08,
+      "loss": 0.8184,
+      "step": 24845
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.067682039189058e-08,
+      "loss": 0.7905,
+      "step": 24846
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.056271715369597e-08,
+      "loss": 0.7613,
+      "step": 24847
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.0448773851584635e-08,
+      "loss": 0.8052,
+      "step": 24848
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.0334990487386206e-08,
+      "loss": 0.8195,
+      "step": 24849
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.022136706292812e-08,
+      "loss": 0.7358,
+      "step": 24850
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.0107903580033355e-08,
+      "loss": 0.8329,
+      "step": 24851
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.999460004052602e-08,
+      "loss": 0.7902,
+      "step": 24852
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.988145644622465e-08,
+      "loss": 0.7273,
+      "step": 24853
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.976847279894669e-08,
+      "loss": 0.8597,
+      "step": 24854
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.9655649100506235e-08,
+      "loss": 0.7497,
+      "step": 24855
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.954298535271406e-08,
+      "loss": 0.8036,
+      "step": 24856
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.943048155738094e-08,
+      "loss": 0.7521,
+      "step": 24857
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.931813771631321e-08,
+      "loss": 0.786,
+      "step": 24858
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.920595383131498e-08,
+      "loss": 0.8631,
+      "step": 24859
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.909392990418703e-08,
+      "loss": 0.8473,
+      "step": 24860
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.898206593672904e-08,
+      "loss": 0.7743,
+      "step": 24861
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.887036193073734e-08,
+      "loss": 0.8149,
+      "step": 24862
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.875881788800606e-08,
+      "loss": 0.8871,
+      "step": 24863
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.864743381032487e-08,
+      "loss": 0.7503,
+      "step": 24864
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.853620969948457e-08,
+      "loss": 0.7682,
+      "step": 24865
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.842514555726928e-08,
+      "loss": 0.8321,
+      "step": 24866
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.8314241385465354e-08,
+      "loss": 0.7526,
+      "step": 24867
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.8203497185850256e-08,
+      "loss": 0.7193,
+      "step": 24868
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.809291296020479e-08,
+      "loss": 0.7319,
+      "step": 24869
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.7982488710304186e-08,
+      "loss": 0.7392,
+      "step": 24870
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.78722244379226e-08,
+      "loss": 0.7992,
+      "step": 24871
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.776212014482861e-08,
+      "loss": 0.8602,
+      "step": 24872
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.7652175832791906e-08,
+      "loss": 0.7151,
+      "step": 24873
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.7542391503577745e-08,
+      "loss": 0.8376,
+      "step": 24874
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.743276715894917e-08,
+      "loss": 0.622,
+      "step": 24875
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.7323302800666986e-08,
+      "loss": 0.8379,
+      "step": 24876
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.721399843048867e-08,
+      "loss": 0.8023,
+      "step": 24877
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.710485405016839e-08,
+      "loss": 0.7956,
+      "step": 24878
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.6995869661460294e-08,
+      "loss": 0.7634,
+      "step": 24879
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.6887045266115196e-08,
+      "loss": 0.8614,
+      "step": 24880
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.6778380865878374e-08,
+      "loss": 0.6363,
+      "step": 24881
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.666987646249731e-08,
+      "loss": 0.8242,
+      "step": 24882
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.6561532057712844e-08,
+      "loss": 0.8731,
+      "step": 24883
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.6453347653264695e-08,
+      "loss": 0.7504,
+      "step": 24884
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.634532325089146e-08,
+      "loss": 0.7751,
+      "step": 24885
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.623745885232621e-08,
+      "loss": 0.7435,
+      "step": 24886
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.6129754459303114e-08,
+      "loss": 0.6533,
+      "step": 24887
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.602221007355078e-08,
+      "loss": 0.9908,
+      "step": 24888
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.591482569679561e-08,
+      "loss": 0.7181,
+      "step": 24889
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.5807601330762886e-08,
+      "loss": 0.6907,
+      "step": 24890
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.570053697717457e-08,
+      "loss": 0.6905,
+      "step": 24891
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.559363263774929e-08,
+      "loss": 0.802,
+      "step": 24892
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.548688831420344e-08,
+      "loss": 0.7574,
+      "step": 24893
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.538030400825343e-08,
+      "loss": 0.7179,
+      "step": 24894
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.527387972160901e-08,
+      "loss": 0.9145,
+      "step": 24895
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.51676154559788e-08,
+      "loss": 0.6493,
+      "step": 24896
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.506151121307033e-08,
+      "loss": 0.8196,
+      "step": 24897
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.49555669945878e-08,
+      "loss": 0.7924,
+      "step": 24898
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.484978280223095e-08,
+      "loss": 0.7628,
+      "step": 24899
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.474415863770064e-08,
+      "loss": 0.7354,
+      "step": 24900
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.4638694502691083e-08,
+      "loss": 0.6945,
+      "step": 24901
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.453339039889758e-08,
+      "loss": 0.7487,
+      "step": 24902
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.44282463280099e-08,
+      "loss": 0.7346,
+      "step": 24903
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.432326229171668e-08,
+      "loss": 0.8784,
+      "step": 24904
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.4218438291704346e-08,
+      "loss": 0.7573,
+      "step": 24905
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.411377432965712e-08,
+      "loss": 0.7749,
+      "step": 24906
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.4009270407253656e-08,
+      "loss": 0.7159,
+      "step": 24907
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.390492652617372e-08,
+      "loss": 0.8471,
+      "step": 24908
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.3800742688091526e-08,
+      "loss": 0.7465,
+      "step": 24909
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.36967188946824e-08,
+      "loss": 0.7305,
+      "step": 24910
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.35928551476139e-08,
+      "loss": 0.753,
+      "step": 24911
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.348915144855691e-08,
+      "loss": 0.7546,
+      "step": 24912
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.3385607799175654e-08,
+      "loss": 0.8059,
+      "step": 24913
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.328222420113103e-08,
+      "loss": 0.8799,
+      "step": 24914
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.3179000656086147e-08,
+      "loss": 0.789,
+      "step": 24915
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.307593716569746e-08,
+      "loss": 0.7158,
+      "step": 24916
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.2973033731619197e-08,
+      "loss": 0.805,
+      "step": 24917
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.2870290355505593e-08,
+      "loss": 0.7033,
+      "step": 24918
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.276770703900423e-08,
+      "loss": 0.7607,
+      "step": 24919
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.2665283783764876e-08,
+      "loss": 0.879,
+      "step": 24920
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.2563020591431794e-08,
+      "loss": 0.7291,
+      "step": 24921
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.246091746364588e-08,
+      "loss": 0.7574,
+      "step": 24922
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.235897440204694e-08,
+      "loss": 0.6924,
+      "step": 24923
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.225719140827477e-08,
+      "loss": 0.7505,
+      "step": 24924
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.215556848396029e-08,
+      "loss": 0.8101,
+      "step": 24925
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.2054105630737745e-08,
+      "loss": 0.6001,
+      "step": 24926
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.195280285023472e-08,
+      "loss": 0.7969,
+      "step": 24927
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.185166014407881e-08,
+      "loss": 0.7775,
+      "step": 24928
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.1750677513895376e-08,
+      "loss": 0.7545,
+      "step": 24929
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.164985496130535e-08,
+      "loss": 0.7695,
+      "step": 24930
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.154919248792743e-08,
+      "loss": 0.703,
+      "step": 24931
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.14486900953781e-08,
+      "loss": 0.7359,
+      "step": 24932
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.1348347785271625e-08,
+      "loss": 0.798,
+      "step": 24933
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.1248165559218946e-08,
+      "loss": 0.6191,
+      "step": 24934
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.1148143418828766e-08,
+      "loss": 0.7665,
+      "step": 24935
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.10482813657087e-08,
+      "loss": 0.6742,
+      "step": 24936
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.0948579401461896e-08,
+      "loss": 0.7747,
+      "step": 24937
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.084903752768709e-08,
+      "loss": 0.8796,
+      "step": 24938
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.074965574598632e-08,
+      "loss": 0.7227,
+      "step": 24939
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.065043405795387e-08,
+      "loss": 0.8186,
+      "step": 24940
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.0551372465181805e-08,
+      "loss": 0.7765,
+      "step": 24941
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.0452470969263293e-08,
+      "loss": 0.6978,
+      "step": 24942
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.035372957178595e-08,
+      "loss": 0.7611,
+      "step": 24943
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.025514827433407e-08,
+      "loss": 0.6866,
+      "step": 24944
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.0156727078491935e-08,
+      "loss": 0.7272,
+      "step": 24945
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.00584659858405e-08,
+      "loss": 0.5982,
+      "step": 24946
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.9960364997956294e-08,
+      "loss": 0.691,
+      "step": 24947
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.986242411641582e-08,
+      "loss": 0.7628,
+      "step": 24948
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.9764643342792276e-08,
+      "loss": 0.8411,
+      "step": 24949
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.966702267865329e-08,
+      "loss": 0.7207,
+      "step": 24950
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.9569562125569827e-08,
+      "loss": 0.7916,
+      "step": 24951
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.9472261685105084e-08,
+      "loss": 0.8604,
+      "step": 24952
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.9375121358822257e-08,
+      "loss": 0.7054,
+      "step": 24953
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.9278141148281202e-08,
+      "loss": 0.7472,
+      "step": 24954
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.9181321055039567e-08,
+      "loss": 0.7058,
+      "step": 24955
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.9084661080650556e-08,
+      "loss": 0.8432,
+      "step": 24956
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.8988161226668478e-08,
+      "loss": 0.8525,
+      "step": 24957
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.8891821494642092e-08,
+      "loss": 0.7676,
+      "step": 24958
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.8795641886117943e-08,
+      "loss": 0.6639,
+      "step": 24959
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.8699622402641457e-08,
+      "loss": 0.8349,
+      "step": 24960
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.860376304575474e-08,
+      "loss": 0.8104,
+      "step": 24961
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.8508063816996557e-08,
+      "loss": 0.7147,
+      "step": 24962
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.8412524717903454e-08,
+      "loss": 0.7168,
+      "step": 24963
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.8317145750010876e-08,
+      "loss": 0.8327,
+      "step": 24964
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.822192691484982e-08,
+      "loss": 0.8472,
+      "step": 24965
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.8126868213947945e-08,
+      "loss": 0.6564,
+      "step": 24966
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.8031969648834033e-08,
+      "loss": 0.8706,
+      "step": 24967
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.7937231221031313e-08,
+      "loss": 0.729,
+      "step": 24968
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.7842652932060786e-08,
+      "loss": 0.7246,
+      "step": 24969
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.774823478344124e-08,
+      "loss": 0.8462,
+      "step": 24970
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.765397677668924e-08,
+      "loss": 0.7887,
+      "step": 24971
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.7559878913318018e-08,
+      "loss": 0.8641,
+      "step": 24972
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.7465941194839697e-08,
+      "loss": 0.7794,
+      "step": 24973
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.7372163622760852e-08,
+      "loss": 0.7529,
+      "step": 24974
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.7278546198590272e-08,
+      "loss": 0.679,
+      "step": 24975
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.7185088923828984e-08,
+      "loss": 0.7666,
+      "step": 24976
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.7091791799978005e-08,
+      "loss": 0.7891,
+      "step": 24977
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.699865482853614e-08,
+      "loss": 0.864,
+      "step": 24978
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.690567801099997e-08,
+      "loss": 0.666,
+      "step": 24979
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.681286134886052e-08,
+      "loss": 0.8436,
+      "step": 24980
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.672020484360993e-08,
+      "loss": 0.7664,
+      "step": 24981
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.6627708496735906e-08,
+      "loss": 0.8429,
+      "step": 24982
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.6535372309722807e-08,
+      "loss": 0.7648,
+      "step": 24983
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.6443196284055007e-08,
+      "loss": 0.683,
+      "step": 24984
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.635118042121132e-08,
+      "loss": 0.8601,
+      "step": 24985
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.6259324722670565e-08,
+      "loss": 0.7697,
+      "step": 24986
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.6167629189907117e-08,
+      "loss": 0.7524,
+      "step": 24987
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.6076093824393134e-08,
+      "loss": 0.5656,
+      "step": 24988
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.598471862759966e-08,
+      "loss": 0.8203,
+      "step": 24989
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.5893503600993296e-08,
+      "loss": 0.7019,
+      "step": 24990
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.5802448746038432e-08,
+      "loss": 0.735,
+      "step": 24991
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.571155406419834e-08,
+      "loss": 0.612,
+      "step": 24992
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.5620819556931852e-08,
+      "loss": 0.794,
+      "step": 24993
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.5530245225696693e-08,
+      "loss": 0.8395,
+      "step": 24994
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.543983107194725e-08,
+      "loss": 0.8,
+      "step": 24995
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.5349577097135703e-08,
+      "loss": 0.6523,
+      "step": 24996
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.5259483302709776e-08,
+      "loss": 0.778,
+      "step": 24997
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.5169549690118312e-08,
+      "loss": 0.8535,
+      "step": 24998
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.50797762608046e-08,
+      "loss": 0.7075,
+      "step": 24999
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.499016301621082e-08,
+      "loss": 0.8154,
+      "step": 25000
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.4900709957774715e-08,
+      "loss": 0.8098,
+      "step": 25001
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.481141708693513e-08,
+      "loss": 0.7138,
+      "step": 25002
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.4722284405123142e-08,
+      "loss": 0.7477,
+      "step": 25003
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.4633311913772052e-08,
+      "loss": 0.8166,
+      "step": 25004
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.45444996143096e-08,
+      "loss": 0.7129,
+      "step": 25005
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.4455847508163545e-08,
+      "loss": 0.629,
+      "step": 25006
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.436735559675607e-08,
+      "loss": 0.7196,
+      "step": 25007
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.427902388150827e-08,
+      "loss": 0.8046,
+      "step": 25008
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.419085236384011e-08,
+      "loss": 0.7652,
+      "step": 25009
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.4102841045166027e-08,
+      "loss": 0.7845,
+      "step": 25010
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.4014989926899323e-08,
+      "loss": 0.7545,
+      "step": 25011
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.39272990104511e-08,
+      "loss": 0.9175,
+      "step": 25012
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.3839768297230226e-08,
+      "loss": 0.7611,
+      "step": 25013
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.3752397788642245e-08,
+      "loss": 0.7467,
+      "step": 25014
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.366518748608937e-08,
+      "loss": 0.6961,
+      "step": 25015
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.35781373909727e-08,
+      "loss": 0.7639,
+      "step": 25016
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.3491247504690008e-08,
+      "loss": 0.9224,
+      "step": 25017
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.3404517828636843e-08,
+      "loss": 0.8205,
+      "step": 25018
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.3317948364205424e-08,
+      "loss": 0.7298,
+      "step": 25019
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.323153911278575e-08,
+      "loss": 0.763,
+      "step": 25020
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.3145290075766713e-08,
+      "loss": 0.8632,
+      "step": 25021
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.305920125453165e-08,
+      "loss": 0.7895,
+      "step": 25022
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.2973272650465006e-08,
+      "loss": 0.8055,
+      "step": 25023
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.2887504264945682e-08,
+      "loss": 0.8331,
+      "step": 25024
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.2801896099350352e-08,
+      "loss": 0.7203,
+      "step": 25025
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.2716448155054583e-08,
+      "loss": 0.6815,
+      "step": 25026
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.263116043343172e-08,
+      "loss": 0.789,
+      "step": 25027
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.254603293584845e-08,
+      "loss": 0.7493,
+      "step": 25028
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.2461065663673676e-08,
+      "loss": 0.7799,
+      "step": 25029
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.237625861827186e-08,
+      "loss": 0.6801,
+      "step": 25030
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.2291611801005253e-08,
+      "loss": 0.6941,
+      "step": 25031
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.220712521323165e-08,
+      "loss": 0.7991,
+      "step": 25032
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.2122798856309967e-08,
+      "loss": 0.7771,
+      "step": 25033
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.2038632731592456e-08,
+      "loss": 0.6492,
+      "step": 25034
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.195462684043137e-08,
+      "loss": 0.8099,
+      "step": 25035
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.1870781184175625e-08,
+      "loss": 0.6968,
+      "step": 25036
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.1787095764171928e-08,
+      "loss": 0.7764,
+      "step": 25037
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.1703570581763644e-08,
+      "loss": 0.7353,
+      "step": 25038
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.1620205638293033e-08,
+      "loss": 0.5982,
+      "step": 25039
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.153700093509903e-08,
+      "loss": 0.7446,
+      "step": 25040
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.1453956473516114e-08,
+      "loss": 0.8948,
+      "step": 25041
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.1371072254878778e-08,
+      "loss": 0.71,
+      "step": 25042
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.1288348280518178e-08,
+      "loss": 0.8681,
+      "step": 25043
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.1205784551763253e-08,
+      "loss": 0.8059,
+      "step": 25044
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.1123381069938497e-08,
+      "loss": 0.9393,
+      "step": 25045
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.104113783636841e-08,
+      "loss": 0.9292,
+      "step": 25046
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.095905485237415e-08,
+      "loss": 0.6709,
+      "step": 25047
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.0877132119271336e-08,
+      "loss": 0.8315,
+      "step": 25048
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.0795369638378915e-08,
+      "loss": 0.6652,
+      "step": 25049
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.0713767411006946e-08,
+      "loss": 0.6198,
+      "step": 25050
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.0632325438467714e-08,
+      "loss": 0.7705,
+      "step": 25051
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.0551043722067953e-08,
+      "loss": 0.7645,
+      "step": 25052
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.0469922263114396e-08,
+      "loss": 0.6551,
+      "step": 25053
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.038896106290822e-08,
+      "loss": 0.7338,
+      "step": 25054
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.030816012275061e-08,
+      "loss": 0.7981,
+      "step": 25055
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.0227519443938305e-08,
+      "loss": 0.7245,
+      "step": 25056
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.0147039027766935e-08,
+      "loss": 0.6715,
+      "step": 25057
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.006671887552769e-08,
+      "loss": 0.7918,
+      "step": 25058
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.998655898851287e-08,
+      "loss": 0.817,
+      "step": 25059
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.9906559368007006e-08,
+      "loss": 0.7779,
+      "step": 25060
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.9826720015296842e-08,
+      "loss": 0.7969,
+      "step": 25061
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.9747040931663573e-08,
+      "loss": 0.707,
+      "step": 25062
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.9667522118387295e-08,
+      "loss": 0.6992,
+      "step": 25063
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.9588163576743647e-08,
+      "loss": 0.7515,
+      "step": 25064
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.9508965308008276e-08,
+      "loss": 0.8142,
+      "step": 25065
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.942992731345239e-08,
+      "loss": 0.7647,
+      "step": 25066
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.9351049594346083e-08,
+      "loss": 0.6482,
+      "step": 25067
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.927233215195501e-08,
+      "loss": 0.8411,
+      "step": 25068
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.919377498754482e-08,
+      "loss": 0.6122,
+      "step": 25069
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.9115378102374517e-08,
+      "loss": 0.7153,
+      "step": 25070
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.9037141497705302e-08,
+      "loss": 0.6426,
+      "step": 25071
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8959065174792844e-08,
+      "loss": 0.713,
+      "step": 25072
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8881149134889477e-08,
+      "loss": 0.7444,
+      "step": 25073
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8803393379248635e-08,
+      "loss": 0.678,
+      "step": 25074
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8725797909119324e-08,
+      "loss": 0.7169,
+      "step": 25075
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8648362725744995e-08,
+      "loss": 0.8777,
+      "step": 25076
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8571087830371315e-08,
+      "loss": 0.8452,
+      "step": 25077
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8493973224238405e-08,
+      "loss": 0.6649,
+      "step": 25078
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8417018908584163e-08,
+      "loss": 0.8016,
+      "step": 25079
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8340224884646484e-08,
+      "loss": 0.7973,
+      "step": 25080
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.82635911536555e-08,
+      "loss": 0.733,
+      "step": 25081
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8187117716844672e-08,
+      "loss": 0.6262,
+      "step": 25082
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8110804575439677e-08,
+      "loss": 0.7897,
+      "step": 25083
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.803465173066732e-08,
+      "loss": 0.7098,
+      "step": 25084
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.795865918375106e-08,
+      "loss": 0.829,
+      "step": 25085
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.7882826935909924e-08,
+      "loss": 0.8382,
+      "step": 25086
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.780715498836294e-08,
+      "loss": 0.7445,
+      "step": 25087
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.773164334232358e-08,
+      "loss": 0.785,
+      "step": 25088
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.7656291999006424e-08,
+      "loss": 0.8941,
+      "step": 25089
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.7581100959620513e-08,
+      "loss": 0.7406,
+      "step": 25090
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.7506070225373763e-08,
+      "loss": 0.7986,
+      "step": 25091
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.7431199797469654e-08,
+      "loss": 0.6742,
+      "step": 25092
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.7356489677112788e-08,
+      "loss": 0.761,
+      "step": 25093
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.7281939865501084e-08,
+      "loss": 0.7458,
+      "step": 25094
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.720755036383248e-08,
+      "loss": 0.8105,
+      "step": 25095
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.7133321173301576e-08,
+      "loss": 0.8385,
+      "step": 25096
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.7059252295100748e-08,
+      "loss": 0.8384,
+      "step": 25097
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6985343730417937e-08,
+      "loss": 0.8616,
+      "step": 25098
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.691159548044219e-08,
+      "loss": 0.7199,
+      "step": 25099
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6838007546355895e-08,
+      "loss": 0.6648,
+      "step": 25100
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.676457992934255e-08,
+      "loss": 0.8387,
+      "step": 25101
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6691312630578992e-08,
+      "loss": 0.7904,
+      "step": 25102
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.661820565124428e-08,
+      "loss": 0.8382,
+      "step": 25103
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6545258992510803e-08,
+      "loss": 0.7516,
+      "step": 25104
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6472472655550964e-08,
+      "loss": 0.5685,
+      "step": 25105
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6399846641532714e-08,
+      "loss": 0.8771,
+      "step": 25106
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6327380951622895e-08,
+      "loss": 0.7807,
+      "step": 25107
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6255075586985024e-08,
+      "loss": 0.6679,
+      "step": 25108
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6182930548780395e-08,
+      "loss": 0.7791,
+      "step": 25109
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.611094583816808e-08,
+      "loss": 0.7416,
+      "step": 25110
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6039121456302708e-08,
+      "loss": 0.7253,
+      "step": 25111
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.5967457404337805e-08,
+      "loss": 0.7684,
+      "step": 25112
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.589595368342578e-08,
+      "loss": 0.7826,
+      "step": 25113
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.5824610294714605e-08,
+      "loss": 0.9232,
+      "step": 25114
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.5753427239347807e-08,
+      "loss": 0.8635,
+      "step": 25115
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.568240451847114e-08,
+      "loss": 0.6823,
+      "step": 25116
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.561154213322369e-08,
+      "loss": 0.6165,
+      "step": 25117
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.5540840084743435e-08,
+      "loss": 0.852,
+      "step": 25118
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.547029837416614e-08,
+      "loss": 0.787,
+      "step": 25119
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.539991700262422e-08,
+      "loss": 0.7909,
+      "step": 25120
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.5329695971249003e-08,
+      "loss": 0.887,
+      "step": 25121
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.525963528116736e-08,
+      "loss": 0.7613,
+      "step": 25122
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.5189734933503954e-08,
+      "loss": 0.7155,
+      "step": 25123
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.511999492938121e-08,
+      "loss": 0.8127,
+      "step": 25124
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.505041526992046e-08,
+      "loss": 0.8251,
+      "step": 25125
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4980995956238588e-08,
+      "loss": 0.6859,
+      "step": 25126
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4911736989449143e-08,
+      "loss": 0.8497,
+      "step": 25127
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4842638370664575e-08,
+      "loss": 0.8095,
+      "step": 25128
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4773700100996214e-08,
+      "loss": 0.904,
+      "step": 25129
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.470492218154984e-08,
+      "loss": 0.8391,
+      "step": 25130
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.463630461343013e-08,
+      "loss": 0.8353,
+      "step": 25131
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4567847397739532e-08,
+      "loss": 0.9525,
+      "step": 25132
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4499550535576057e-08,
+      "loss": 0.5588,
+      "step": 25133
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4431414028037715e-08,
+      "loss": 0.6226,
+      "step": 25134
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4363437876218078e-08,
+      "loss": 0.6424,
+      "step": 25135
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4295622081208493e-08,
+      "loss": 0.6878,
+      "step": 25136
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.42279666440992e-08,
+      "loss": 0.7662,
+      "step": 25137
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4160471565974887e-08,
+      "loss": 0.7229,
+      "step": 25138
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4093136847921352e-08,
+      "loss": 0.6831,
+      "step": 25139
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.402596249101884e-08,
+      "loss": 0.7234,
+      "step": 25140
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3958948496346492e-08,
+      "loss": 0.7658,
+      "step": 25141
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3892094864979e-08,
+      "loss": 0.7018,
+      "step": 25142
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3825401597992172e-08,
+      "loss": 0.7077,
+      "step": 25143
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3758868696456263e-08,
+      "loss": 0.6609,
+      "step": 25144
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3692496161439305e-08,
+      "loss": 0.6692,
+      "step": 25145
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3626283994007116e-08,
+      "loss": 0.7734,
+      "step": 25146
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3560232195223288e-08,
+      "loss": 0.8135,
+      "step": 25147
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3494340766148084e-08,
+      "loss": 0.6435,
+      "step": 25148
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3428609707839547e-08,
+      "loss": 0.7945,
+      "step": 25149
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3363039021354607e-08,
+      "loss": 0.7192,
+      "step": 25150
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3297628707744647e-08,
+      "loss": 0.7489,
+      "step": 25151
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.323237876806105e-08,
+      "loss": 0.8306,
+      "step": 25152
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3167289203351862e-08,
+      "loss": 0.721,
+      "step": 25153
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3102360014660697e-08,
+      "loss": 0.8931,
+      "step": 25154
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3037591203032273e-08,
+      "loss": 0.8784,
+      "step": 25155
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.297298276950576e-08,
+      "loss": 0.7966,
+      "step": 25156
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2908534715118104e-08,
+      "loss": 0.8094,
+      "step": 25157
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2844247040905145e-08,
+      "loss": 0.8084,
+      "step": 25158
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2780119747899388e-08,
+      "loss": 0.6918,
+      "step": 25159
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2716152837128904e-08,
+      "loss": 0.6588,
+      "step": 25160
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2652346309623974e-08,
+      "loss": 0.7249,
+      "step": 25161
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.258870016640601e-08,
+      "loss": 0.8523,
+      "step": 25162
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2525214408499743e-08,
+      "loss": 0.7699,
+      "step": 25163
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2461889036923247e-08,
+      "loss": 0.7958,
+      "step": 25164
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.239872405269349e-08,
+      "loss": 0.7071,
+      "step": 25165
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2335719456825212e-08,
+      "loss": 0.6528,
+      "step": 25166
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.227287525032983e-08,
+      "loss": 0.7344,
+      "step": 25167
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2210191434216534e-08,
+      "loss": 0.8008,
+      "step": 25168
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2147668009492297e-08,
+      "loss": 0.736,
+      "step": 25169
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.208530497716076e-08,
+      "loss": 0.7411,
+      "step": 25170
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2023102338224457e-08,
+      "loss": 0.6367,
+      "step": 25171
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.1961060093681476e-08,
+      "loss": 0.7051,
+      "step": 25172
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.1899178244527687e-08,
+      "loss": 0.6797,
+      "step": 25173
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.183745679175785e-08,
+      "loss": 0.7158,
+      "step": 25174
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1775895736361176e-08,
+      "loss": 0.8165,
+      "step": 25175
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1714495079329091e-08,
+      "loss": 0.7629,
+      "step": 25176
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1653254821645254e-08,
+      "loss": 0.8047,
+      "step": 25177
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1592174964295545e-08,
+      "loss": 0.8218,
+      "step": 25178
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1531255508258066e-08,
+      "loss": 0.6797,
+      "step": 25179
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1470496454512037e-08,
+      "loss": 0.7696,
+      "step": 25180
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1409897804034452e-08,
+      "loss": 0.6463,
+      "step": 25181
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1349459557796761e-08,
+      "loss": 0.6911,
+      "step": 25182
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1289181716771513e-08,
+      "loss": 0.8142,
+      "step": 25183
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1229064281924606e-08,
+      "loss": 0.7183,
+      "step": 25184
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1169107254221934e-08,
+      "loss": 0.7761,
+      "step": 25185
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1109310634627169e-08,
+      "loss": 0.8851,
+      "step": 25186
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1049674424099543e-08,
+      "loss": 0.7429,
+      "step": 25187
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0990198623598292e-08,
+      "loss": 0.7609,
+      "step": 25188
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0930883234077095e-08,
+      "loss": 0.7204,
+      "step": 25189
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0871728256488524e-08,
+      "loss": 0.8298,
+      "step": 25190
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0812733691782929e-08,
+      "loss": 0.8787,
+      "step": 25191
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0753899540908441e-08,
+      "loss": 0.8363,
+      "step": 25192
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0695225804808752e-08,
+      "loss": 0.7899,
+      "step": 25193
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0636712484426436e-08,
+      "loss": 0.716,
+      "step": 25194
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0578359580700747e-08,
+      "loss": 0.6844,
+      "step": 25195
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0520167094568712e-08,
+      "loss": 0.8788,
+      "step": 25196
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0462135026966246e-08,
+      "loss": 0.7339,
+      "step": 25197
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.040426337882372e-08,
+      "loss": 0.7727,
+      "step": 25198
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0346552151071499e-08,
+      "loss": 0.7582,
+      "step": 25199
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0289001344635507e-08,
+      "loss": 0.7755,
+      "step": 25200
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0231610960440564e-08,
+      "loss": 0.821,
+      "step": 25201
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.017438099940815e-08,
+      "loss": 0.7286,
+      "step": 25202
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0117311462457535e-08,
+      "loss": 0.758,
+      "step": 25203
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.006040235050465e-08,
+      "loss": 0.7689,
+      "step": 25204
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.000365366446321e-08,
+      "loss": 0.6543,
+      "step": 25205
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.947065405245815e-09,
+      "loss": 0.7674,
+      "step": 25206
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.89063757375952e-09,
+      "loss": 0.7513,
+      "step": 25207
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.834370170911378e-09,
+      "loss": 0.7846,
+      "step": 25208
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.77826319760511e-09,
+      "loss": 0.7163,
+      "step": 25209
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.722316654741103e-09,
+      "loss": 0.6957,
+      "step": 25210
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.666530543218644e-09,
+      "loss": 0.6868,
+      "step": 25211
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.610904863932568e-09,
+      "loss": 0.7559,
+      "step": 25212
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.555439617776607e-09,
+      "loss": 0.6645,
+      "step": 25213
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.500134805642269e-09,
+      "loss": 0.8163,
+      "step": 25214
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.444990428416623e-09,
+      "loss": 0.8439,
+      "step": 25215
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.390006486985625e-09,
+      "loss": 0.7172,
+      "step": 25216
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.335182982231905e-09,
+      "loss": 0.6971,
+      "step": 25217
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.280519915036979e-09,
+      "loss": 0.8635,
+      "step": 25218
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.226017286276812e-09,
+      "loss": 0.7105,
+      "step": 25219
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.17167509682848e-09,
+      "loss": 0.743,
+      "step": 25220
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.11749334756351e-09,
+      "loss": 0.8897,
+      "step": 25221
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.063472039352317e-09,
+      "loss": 0.7512,
+      "step": 25222
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.009611173061983e-09,
+      "loss": 0.7377,
+      "step": 25223
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.955910749558482e-09,
+      "loss": 0.8584,
+      "step": 25224
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.90237076970335e-09,
+      "loss": 0.8374,
+      "step": 25225
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.848991234357007e-09,
+      "loss": 0.9275,
+      "step": 25226
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.795772144375436e-09,
+      "loss": 0.6428,
+      "step": 25227
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.742713500614619e-09,
+      "loss": 0.7104,
+      "step": 25228
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.689815303926096e-09,
+      "loss": 0.8581,
+      "step": 25229
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.63707755515919e-09,
+      "loss": 0.6917,
+      "step": 25230
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.584500255160999e-09,
+      "loss": 0.9361,
+      "step": 25231
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.532083404775294e-09,
+      "loss": 0.721,
+      "step": 25232
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.479827004844732e-09,
+      "loss": 0.9457,
+      "step": 25233
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.427731056208643e-09,
+      "loss": 0.7589,
+      "step": 25234
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.375795559701916e-09,
+      "loss": 0.8255,
+      "step": 25235
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.324020516160547e-09,
+      "loss": 0.854,
+      "step": 25236
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.272405926414984e-09,
+      "loss": 0.7612,
+      "step": 25237
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.220951791294562e-09,
+      "loss": 0.7738,
+      "step": 25238
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.169658111624179e-09,
+      "loss": 0.8364,
+      "step": 25239
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.118524888229839e-09,
+      "loss": 0.7663,
+      "step": 25240
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.067552121930888e-09,
+      "loss": 0.8295,
+      "step": 25241
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.01673981354667e-09,
+      "loss": 0.7532,
+      "step": 25242
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.966087963892089e-09,
+      "loss": 0.8796,
+      "step": 25243
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.915596573782047e-09,
+      "loss": 0.8335,
+      "step": 25244
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.865265644027009e-09,
+      "loss": 0.6748,
+      "step": 25245
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.815095175435217e-09,
+      "loss": 0.8342,
+      "step": 25246
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.765085168811581e-09,
+      "loss": 0.8763,
+      "step": 25247
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.715235624958794e-09,
+      "loss": 0.7317,
+      "step": 25248
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.665546544679547e-09,
+      "loss": 0.6449,
+      "step": 25249
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.61601792877098e-09,
+      "loss": 0.7645,
+      "step": 25250
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.566649778026902e-09,
+      "loss": 0.7274,
+      "step": 25251
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.517442093241123e-09,
+      "loss": 0.7386,
+      "step": 25252
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.468394875204121e-09,
+      "loss": 0.682,
+      "step": 25253
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.419508124704156e-09,
+      "loss": 0.6464,
+      "step": 25254
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.370781842525044e-09,
+      "loss": 0.7927,
+      "step": 25255
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.322216029449491e-09,
+      "loss": 0.8448,
+      "step": 25256
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.273810686257987e-09,
+      "loss": 0.8166,
+      "step": 25257
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.225565813726576e-09,
+      "loss": 0.9816,
+      "step": 25258
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.177481412632414e-09,
+      "loss": 0.7689,
+      "step": 25259
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.129557483744886e-09,
+      "loss": 0.7423,
+      "step": 25260
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.081794027835598e-09,
+      "loss": 0.838,
+      "step": 25261
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.034191045670602e-09,
+      "loss": 0.6792,
+      "step": 25262
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.986748538014843e-09,
+      "loss": 0.5838,
+      "step": 25263
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.939466505629933e-09,
+      "loss": 0.9539,
+      "step": 25264
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.8923449492741545e-09,
+      "loss": 0.6867,
+      "step": 25265
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.845383869706901e-09,
+      "loss": 0.8803,
+      "step": 25266
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.7985832676797925e-09,
+      "loss": 0.7272,
+      "step": 25267
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.751943143945561e-09,
+      "loss": 0.8431,
+      "step": 25268
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.705463499252496e-09,
+      "loss": 0.7721,
+      "step": 25269
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.659144334347778e-09,
+      "loss": 0.8828,
+      "step": 25270
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.612985649974146e-09,
+      "loss": 0.8042,
+      "step": 25271
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.56698744687434e-09,
+      "loss": 0.6936,
+      "step": 25272
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.521149725785547e-09,
+      "loss": 0.7805,
+      "step": 25273
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.475472487444956e-09,
+      "loss": 0.7798,
+      "step": 25274
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.429955732585313e-09,
+      "loss": 0.7505,
+      "step": 25275
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.384599461938256e-09,
+      "loss": 0.7944,
+      "step": 25276
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.339403676232092e-09,
+      "loss": 0.8053,
+      "step": 25277
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.294368376192906e-09,
+      "loss": 0.8038,
+      "step": 25278
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.2494935625423415e-09,
+      "loss": 0.703,
+      "step": 25279
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.204779236002045e-09,
+      "loss": 0.6842,
+      "step": 25280
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.160225397290332e-09,
+      "loss": 0.6445,
+      "step": 25281
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.1158320471221834e-09,
+      "loss": 0.7167,
+      "step": 25282
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.071599186211474e-09,
+      "loss": 0.7594,
+      "step": 25283
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.0275268152665264e-09,
+      "loss": 0.7592,
+      "step": 25284
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.983614934997883e-09,
+      "loss": 0.803,
+      "step": 25285
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.9398635461083155e-09,
+      "loss": 0.6206,
+      "step": 25286
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.896272649300594e-09,
+      "loss": 0.8209,
+      "step": 25287
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.85284224527638e-09,
+      "loss": 0.8136,
+      "step": 25288
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.809572334731783e-09,
+      "loss": 0.7832,
+      "step": 25289
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.766462918362914e-09,
+      "loss": 0.794,
+      "step": 25290
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.72351399686033e-09,
+      "loss": 0.6632,
+      "step": 25291
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.680725570914592e-09,
+      "loss": 0.7046,
+      "step": 25292
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.638097641212925e-09,
+      "loss": 0.7189,
+      "step": 25293
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.595630208439229e-09,
+      "loss": 0.8579,
+      "step": 25294
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.5533232732774e-09,
+      "loss": 0.6696,
+      "step": 25295
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.511176836404674e-09,
+      "loss": 0.7276,
+      "step": 25296
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.469190898498289e-09,
+      "loss": 0.7871,
+      "step": 25297
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.427365460233258e-09,
+      "loss": 0.7234,
+      "step": 25298
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.385700522280158e-09,
+      "loss": 0.7017,
+      "step": 25299
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.344196085309561e-09,
+      "loss": 0.792,
+      "step": 25300
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.302852149987603e-09,
+      "loss": 0.7815,
+      "step": 25301
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.261668716975976e-09,
+      "loss": 0.7267,
+      "step": 25302
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.2206457869397045e-09,
+      "loss": 0.8083,
+      "step": 25303
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.179783360534929e-09,
+      "loss": 0.6756,
+      "step": 25304
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.139081438418902e-09,
+      "loss": 0.8148,
+      "step": 25305
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.0985400212444355e-09,
+      "loss": 0.6799,
+      "step": 25306
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.05815910966323e-09,
+      "loss": 0.8559,
+      "step": 25307
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.017938704323655e-09,
+      "loss": 0.827,
+      "step": 25308
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.977878805871861e-09,
+      "loss": 0.8269,
+      "step": 25309
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.937979414950667e-09,
+      "loss": 0.8652,
+      "step": 25310
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.898240532201781e-09,
+      "loss": 0.7305,
+      "step": 25311
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.858662158261363e-09,
+      "loss": 0.8879,
+      "step": 25312
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.819244293766678e-09,
+      "loss": 0.6957,
+      "step": 25313
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.779986939350556e-09,
+      "loss": 0.7652,
+      "step": 25314
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.740890095642492e-09,
+      "loss": 0.7154,
+      "step": 25315
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.701953763271983e-09,
+      "loss": 0.6866,
+      "step": 25316
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.663177942862973e-09,
+      "loss": 0.6915,
+      "step": 25317
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.624562635038299e-09,
+      "loss": 0.7864,
+      "step": 25318
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.586107840417464e-09,
+      "loss": 0.8196,
+      "step": 25319
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.547813559619974e-09,
+      "loss": 0.8552,
+      "step": 25320
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.50967979325867e-09,
+      "loss": 0.8307,
+      "step": 25321
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.471706541947507e-09,
+      "loss": 0.6313,
+      "step": 25322
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.433893806294887e-09,
+      "loss": 0.6336,
+      "step": 25323
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.396241586909211e-09,
+      "loss": 0.6754,
+      "step": 25324
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.358749884395552e-09,
+      "loss": 0.7225,
+      "step": 25325
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.321418699354541e-09,
+      "loss": 0.7134,
+      "step": 25326
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.284248032385696e-09,
+      "loss": 0.866,
+      "step": 25327
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.247237884086319e-09,
+      "loss": 0.7209,
+      "step": 25328
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.210388255051489e-09,
+      "loss": 0.78,
+      "step": 25329
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.173699145872956e-09,
+      "loss": 0.6741,
+      "step": 25330
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.137170557139136e-09,
+      "loss": 0.7214,
+      "step": 25331
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.100802489436228e-09,
+      "loss": 0.8706,
+      "step": 25332
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.06459494334932e-09,
+      "loss": 0.7583,
+      "step": 25333
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.028547919459058e-09,
+      "loss": 0.7312,
+      "step": 25334
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.9926614183449785e-09,
+      "loss": 0.7386,
+      "step": 25335
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.956935440582177e-09,
+      "loss": 0.6959,
+      "step": 25336
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.921369986746859e-09,
+      "loss": 0.8083,
+      "step": 25337
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.885965057407459e-09,
+      "loss": 0.7656,
+      "step": 25338
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.850720653133522e-09,
+      "loss": 0.6918,
+      "step": 25339
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.8156367744912604e-09,
+      "loss": 0.7622,
+      "step": 25340
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.780713422044668e-09,
+      "loss": 0.6694,
+      "step": 25341
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.745950596353298e-09,
+      "loss": 0.748,
+      "step": 25342
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.711348297975592e-09,
+      "loss": 0.6497,
+      "step": 25343
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.6769065274677718e-09,
+      "loss": 0.8106,
+      "step": 25344
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.6426252853838385e-09,
+      "loss": 0.8728,
+      "step": 25345
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.6085045722722424e-09,
+      "loss": 0.7555,
+      "step": 25346
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.5745443886814334e-09,
+      "loss": 0.7304,
+      "step": 25347
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.540744735157642e-09,
+      "loss": 0.7235,
+      "step": 25348
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.5071056122437663e-09,
+      "loss": 0.8348,
+      "step": 25349
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.4736270204793752e-09,
+      "loss": 0.7335,
+      "step": 25350
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.4403089604007066e-09,
+      "loss": 0.6356,
+      "step": 25351
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.4071514325462184e-09,
+      "loss": 0.6493,
+      "step": 25352
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.374154437445487e-09,
+      "loss": 0.6905,
+      "step": 25353
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.341317975629199e-09,
+      "loss": 0.8173,
+      "step": 25354
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.308642047625821e-09,
+      "loss": 0.7339,
+      "step": 25355
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.276126653958267e-09,
+      "loss": 0.7362,
+      "step": 25356
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.243771795149453e-09,
+      "loss": 0.7752,
+      "step": 25357
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.211577471718963e-09,
+      "loss": 0.7366,
+      "step": 25358
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.179543684184161e-09,
+      "loss": 0.7673,
+      "step": 25359
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.14767043305908e-09,
+      "loss": 0.7244,
+      "step": 25360
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.1159577188555334e-09,
+      "loss": 0.6394,
+      "step": 25361
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.084405542083113e-09,
+      "loss": 0.7467,
+      "step": 25362
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.053013903249191e-09,
+      "loss": 0.6678,
+      "step": 25363
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.0217828028555883e-09,
+      "loss": 0.6897,
+      "step": 25364
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.990712241405236e-09,
+      "loss": 0.7793,
+      "step": 25365
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.959802219397734e-09,
+      "loss": 0.7466,
+      "step": 25366
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.929052737329352e-09,
+      "loss": 0.7103,
+      "step": 25367
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.8984637956930297e-09,
+      "loss": 0.7572,
+      "step": 25368
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.868035394979485e-09,
+      "loss": 0.6921,
+      "step": 25369
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.8377675356783262e-09,
+      "loss": 0.7964,
+      "step": 25370
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.8076602182758317e-09,
+      "loss": 0.6651,
+      "step": 25371
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.7777134432549478e-09,
+      "loss": 0.6762,
+      "step": 25372
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.7479272110975117e-09,
+      "loss": 0.93,
+      "step": 25373
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.7183015222809197e-09,
+      "loss": 0.7528,
+      "step": 25374
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.688836377280346e-09,
+      "loss": 0.7076,
+      "step": 25375
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.659531776569857e-09,
+      "loss": 0.75,
+      "step": 25376
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.6303877206201868e-09,
+      "loss": 0.7518,
+      "step": 25377
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.601404209898739e-09,
+      "loss": 0.7237,
+      "step": 25378
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.572581244871808e-09,
+      "loss": 0.832,
+      "step": 25379
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.543918826002356e-09,
+      "loss": 0.7962,
+      "step": 25380
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.515416953748906e-09,
+      "loss": 0.7207,
+      "step": 25381
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.4870756285699795e-09,
+      "loss": 0.9176,
+      "step": 25382
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.4588948509218778e-09,
+      "loss": 0.7423,
+      "step": 25383
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.4308746212564627e-09,
+      "loss": 0.7334,
+      "step": 25384
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.4030149400233737e-09,
+      "loss": 0.7715,
+      "step": 25385
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.375315807670031e-09,
+      "loss": 0.8996,
+      "step": 25386
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.3477772246416342e-09,
+      "loss": 0.757,
+      "step": 25387
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.3203991913800515e-09,
+      "loss": 0.7133,
+      "step": 25388
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.293181708324932e-09,
+      "loss": 0.7132,
+      "step": 25389
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.2661247759125927e-09,
+      "loss": 0.765,
+      "step": 25390
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.2392283945793513e-09,
+      "loss": 0.8005,
+      "step": 25391
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.212492564757085e-09,
+      "loss": 0.7378,
+      "step": 25392
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.185917286873229e-09,
+      "loss": 0.7583,
+      "step": 25393
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.15950256135522e-09,
+      "loss": 0.7446,
+      "step": 25394
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.133248388628273e-09,
+      "loss": 0.7742,
+      "step": 25395
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.1071547691131624e-09,
+      "loss": 0.7218,
+      "step": 25396
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.0812217032295523e-09,
+      "loss": 0.9048,
+      "step": 25397
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.055449191392667e-09,
+      "loss": 0.7637,
+      "step": 25398
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.0298372340177287e-09,
+      "loss": 0.7732,
+      "step": 25399
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.0043858315144103e-09,
+      "loss": 0.7768,
+      "step": 25400
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.979094984293495e-09,
+      "loss": 0.6914,
+      "step": 25401
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.953964692760213e-09,
+      "loss": 0.8291,
+      "step": 25402
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.928994957317576e-09,
+      "loss": 0.6427,
+      "step": 25403
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.904185778366374e-09,
+      "loss": 0.7527,
+      "step": 25404
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.879537156306288e-09,
+      "loss": 0.6306,
+      "step": 25405
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.855049091532557e-09,
+      "loss": 0.6897,
+      "step": 25406
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.8307215844381998e-09,
+      "loss": 0.6806,
+      "step": 25407
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.806554635414015e-09,
+      "loss": 0.7625,
+      "step": 25408
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.7825482448485808e-09,
+      "loss": 0.6976,
+      "step": 25409
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.7587024131260344e-09,
+      "loss": 0.6946,
+      "step": 25410
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.7350171406316229e-09,
+      "loss": 0.6782,
+      "step": 25411
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.7114924277428223e-09,
+      "loss": 0.7447,
+      "step": 25412
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.6881282748404392e-09,
+      "loss": 0.8181,
+      "step": 25413
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.6649246822963982e-09,
+      "loss": 0.6595,
+      "step": 25414
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.6418816504859548e-09,
+      "loss": 0.7001,
+      "step": 25415
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.618999179778813e-09,
+      "loss": 0.8024,
+      "step": 25416
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.5962772705413465e-09,
+      "loss": 0.7637,
+      "step": 25417
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.5737159231388188e-09,
+      "loss": 0.8719,
+      "step": 25418
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.5513151379331625e-09,
+      "loss": 0.8744,
+      "step": 25419
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.5290749152852003e-09,
+      "loss": 0.7536,
+      "step": 25420
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.5069952555513135e-09,
+      "loss": 0.7297,
+      "step": 25421
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.4850761590867734e-09,
+      "loss": 0.8201,
+      "step": 25422
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.463317626242411e-09,
+      "loss": 0.6925,
+      "step": 25423
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.4417196573690561e-09,
+      "loss": 0.7153,
+      "step": 25424
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.4202822528119886e-09,
+      "loss": 0.7678,
+      "step": 25425
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.3990054129175979e-09,
+      "loss": 0.5625,
+      "step": 25426
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.3778891380245018e-09,
+      "loss": 0.7687,
+      "step": 25427
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.3569334284746493e-09,
+      "loss": 0.7595,
+      "step": 25428
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.3361382846033278e-09,
+      "loss": 0.6945,
+      "step": 25429
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.315503706744714e-09,
+      "loss": 0.8767,
+      "step": 25430
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.295029695229655e-09,
+      "loss": 0.7168,
+      "step": 25431
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.274716250386776e-09,
+      "loss": 0.7081,
+      "step": 25432
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.2545633725435936e-09,
+      "loss": 0.7728,
+      "step": 25433
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.234571062023182e-09,
+      "loss": 0.7665,
+      "step": 25434
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.2147393191463963e-09,
+      "loss": 0.8442,
+      "step": 25435
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.1950681442307599e-09,
+      "loss": 0.676,
+      "step": 25436
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.1755575375937966e-09,
+      "loss": 0.7346,
+      "step": 25437
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.1562074995485895e-09,
+      "loss": 0.6101,
+      "step": 25438
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.1370180304048906e-09,
+      "loss": 0.777,
+      "step": 25439
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.117989130471342e-09,
+      "loss": 0.8289,
+      "step": 25440
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.099120800054365e-09,
+      "loss": 0.7551,
+      "step": 25441
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.0804130394548306e-09,
+      "loss": 0.8669,
+      "step": 25442
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.0618658489758293e-09,
+      "loss": 0.7199,
+      "step": 25443
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.0434792289137908e-09,
+      "loss": 0.7888,
+      "step": 25444
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.0252531795629238e-09,
+      "loss": 0.6852,
+      "step": 25445
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.0071877012185483e-09,
+      "loss": 0.7597,
+      "step": 25446
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 9.892827941682114e-10,
+      "loss": 0.6438,
+      "step": 25447
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 9.715384587005715e-10,
+      "loss": 0.767,
+      "step": 25448
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 9.539546951009559e-10,
+      "loss": 0.7882,
+      "step": 25449
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 9.36531503651361e-10,
+      "loss": 0.8129,
+      "step": 25450
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 9.192688846315634e-10,
+      "loss": 0.714,
+      "step": 25451
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 9.021668383180082e-10,
+      "loss": 0.8083,
+      "step": 25452
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 8.852253649871412e-10,
+      "loss": 0.8859,
+      "step": 25453
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 8.684444649087465e-10,
+      "loss": 0.7922,
+      "step": 25454
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 8.518241383548286e-10,
+      "loss": 0.8091,
+      "step": 25455
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 8.353643855907312e-10,
+      "loss": 0.796,
+      "step": 25456
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 8.19065206880687e-10,
+      "loss": 0.7674,
+      "step": 25457
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 8.029266024867088e-10,
+      "loss": 0.8362,
+      "step": 25458
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.869485726674786e-10,
+      "loss": 0.8462,
+      "step": 25459
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.71131117680568e-10,
+      "loss": 0.7931,
+      "step": 25460
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.554742377802183e-10,
+      "loss": 0.8214,
+      "step": 25461
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.399779332162293e-10,
+      "loss": 0.7249,
+      "step": 25462
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.246422042395118e-10,
+      "loss": 0.7019,
+      "step": 25463
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.094670510943147e-10,
+      "loss": 0.7502,
+      "step": 25464
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.944524740259973e-10,
+      "loss": 0.8735,
+      "step": 25465
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.795984732743677e-10,
+      "loss": 0.8218,
+      "step": 25466
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.649050490792341e-10,
+      "loss": 0.7879,
+      "step": 25467
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.503722016748537e-10,
+      "loss": 0.6715,
+      "step": 25468
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.359999312965937e-10,
+      "loss": 0.8368,
+      "step": 25469
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.217882381731599e-10,
+      "loss": 0.6169,
+      "step": 25470
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.077371225343687e-10,
+      "loss": 0.6157,
+      "step": 25471
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.938465846055952e-10,
+      "loss": 0.9337,
+      "step": 25472
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.801166246099943e-10,
+      "loss": 0.7946,
+      "step": 25473
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.665472427673901e-10,
+      "loss": 0.7706,
+      "step": 25474
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.531384392953865e-10,
+      "loss": 0.9337,
+      "step": 25475
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.398902144104768e-10,
+      "loss": 0.7042,
+      "step": 25476
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.268025683258238e-10,
+      "loss": 0.5979,
+      "step": 25477
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.138755012501495e-10,
+      "loss": 0.6666,
+      "step": 25478
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.011090133910657e-10,
+      "loss": 0.7346,
+      "step": 25479
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.885031049539635e-10,
+      "loss": 0.7976,
+      "step": 25480
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.760577761420137e-10,
+      "loss": 0.7176,
+      "step": 25481
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.6377302715394644e-10,
+      "loss": 0.7245,
+      "step": 25482
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.516488581884915e-10,
+      "loss": 0.7667,
+      "step": 25483
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.396852694388276e-10,
+      "loss": 0.8191,
+      "step": 25484
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.278822610970235e-10,
+      "loss": 0.6158,
+      "step": 25485
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.162398333540374e-10,
+      "loss": 0.7592,
+      "step": 25486
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.047579863963869e-10,
+      "loss": 0.6298,
+      "step": 25487
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.9343672040725866e-10,
+      "loss": 0.75,
+      "step": 25488
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.822760355698396e-10,
+      "loss": 0.7177,
+      "step": 25489
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.712759320628756e-10,
+      "loss": 0.7456,
+      "step": 25490
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.6043641006289207e-10,
+      "loss": 0.8596,
+      "step": 25491
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.4975746974419413e-10,
+      "loss": 0.7983,
+      "step": 25492
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.39239111277756e-10,
+      "loss": 0.6739,
+      "step": 25493
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.2888133483233163e-10,
+      "loss": 0.7562,
+      "step": 25494
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.1868414057556475e-10,
+      "loss": 0.8355,
+      "step": 25495
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.0864752867065807e-10,
+      "loss": 0.8653,
+      "step": 25496
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.987714992785939e-10,
+      "loss": 0.7728,
+      "step": 25497
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.8905605255702405e-10,
+      "loss": 0.7788,
+      "step": 25498
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.795011886636001e-10,
+      "loss": 0.7494,
+      "step": 25499
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.701069077504226e-10,
+      "loss": 0.7191,
+      "step": 25500
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.608732099695921e-10,
+      "loss": 0.7651,
+      "step": 25501
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.518000954687683e-10,
+      "loss": 0.7684,
+      "step": 25502
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.4288756439339034e-10,
+      "loss": 0.7274,
+      "step": 25503
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.3413561688667706e-10,
+      "loss": 0.7086,
+      "step": 25504
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.255442530896268e-10,
+      "loss": 0.6955,
+      "step": 25505
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.1711347313990715e-10,
+      "loss": 0.8937,
+      "step": 25506
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.0884327717296538e-10,
+      "loss": 0.7967,
+      "step": 25507
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.0073366532202821e-10,
+      "loss": 0.7267,
+      "step": 25508
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.927846377158815e-10,
+      "loss": 0.8026,
+      "step": 25509
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.8499619448331118e-10,
+      "loss": 0.6841,
+      "step": 25510
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.773683357497724e-10,
+      "loss": 0.7541,
+      "step": 25511
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.6990106163738972e-10,
+      "loss": 0.6687,
+      "step": 25512
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.62594372264957e-10,
+      "loss": 0.7617,
+      "step": 25513
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.5544826775126808e-10,
+      "loss": 0.8845,
+      "step": 25514
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.4846274821067596e-10,
+      "loss": 0.5583,
+      "step": 25515
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.4163781375531316e-10,
+      "loss": 0.824,
+      "step": 25516
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.3497346449509175e-10,
+      "loss": 0.9031,
+      "step": 25517
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.2846970053548292e-10,
+      "loss": 0.8116,
+      "step": 25518
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.2212652198306807e-10,
+      "loss": 0.7973,
+      "step": 25519
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.1594392893776729e-10,
+      "loss": 0.7994,
+      "step": 25520
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.0992192150061087e-10,
+      "loss": 0.9805,
+      "step": 25521
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.0406049976818822e-10,
+      "loss": 0.7766,
+      "step": 25522
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 9.835966383264784e-11,
+      "loss": 0.8197,
+      "step": 25523
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 9.281941378835869e-11,
+      "loss": 0.8063,
+      "step": 25524
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 8.743974972191816e-11,
+      "loss": 0.8443,
+      "step": 25525
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 8.222067171992365e-11,
+      "loss": 0.6995,
+      "step": 25526
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.716217986786234e-11,
+      "loss": 0.8071,
+      "step": 25527
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.226427424567028e-11,
+      "loss": 0.6784,
+      "step": 25528
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.752695493217331e-11,
+      "loss": 0.7228,
+      "step": 25529
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.295022200397682e-11,
+      "loss": 0.6753,
+      "step": 25530
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.85340755332453e-11,
+      "loss": 0.7037,
+      "step": 25531
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.427851559325348e-11,
+      "loss": 0.9427,
+      "step": 25532
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.01835422495045e-11,
+      "loss": 0.7274,
+      "step": 25533
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.6249155569721983e-11,
+      "loss": 0.6595,
+      "step": 25534
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.247535561718863e-11,
+      "loss": 0.8105,
+      "step": 25535
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.886214245074627e-11,
+      "loss": 0.7357,
+      "step": 25536
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.5409516130346936e-11,
+      "loss": 0.6611,
+      "step": 25537
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.211747671039156e-11,
+      "loss": 0.7984,
+      "step": 25538
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.898602424417085e-11,
+      "loss": 0.838,
+      "step": 25539
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.6015158781644844e-11,
+      "loss": 0.8257,
+      "step": 25540
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.320488037055313e-11,
+      "loss": 0.6842,
+      "step": 25541
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.0555189055304627e-11,
+      "loss": 0.725,
+      "step": 25542
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.8066084880308255e-11,
+      "loss": 0.8321,
+      "step": 25543
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.5737567884421824e-11,
+      "loss": 0.8208,
+      "step": 25544
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.3569638105392913e-11,
+      "loss": 0.7181,
+      "step": 25545
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.1562295576528216e-11,
+      "loss": 0.8396,
+      "step": 25546
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 9.715540332244645e-12,
+      "loss": 0.643,
+      "step": 25547
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 8.029372401407997e-12,
+      "loss": 0.6499,
+      "step": 25548
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.503791810663629e-12,
+      "loss": 0.8699,
+      "step": 25549
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.138798584436444e-12,
+      "loss": 0.7331,
+      "step": 25550
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.934392744930904e-12,
+      "loss": 0.6331,
+      "step": 25551
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.8905743121310225e-12,
+      "loss": 0.8893,
+      "step": 25552
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.0073433015799227e-12,
+      "loss": 0.8535,
+      "step": 25553
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.2846997288207263e-12,
+      "loss": 0.8084,
+      "step": 25554
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.22643603845441e-13,
+      "loss": 0.7787,
+      "step": 25555
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.211749377562967e-13,
+      "loss": 0.7521,
+      "step": 25556
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 8.029373499418569e-14,
+      "loss": 0.6179,
+      "step": 25557
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0,
+      "loss": 0.7248,
+      "step": 25558
+    },
+    {
+      "epoch": 1.0,
+      "step": 25558,
+      "total_flos": 9.704602191670542e+18,
+      "train_loss": 0.8256124606018885,
+      "train_runtime": 261269.0981,
+      "train_samples_per_second": 12.521,
+      "train_steps_per_second": 0.098
+    }
+  ],
+  "max_steps": 25558,
+  "num_train_epochs": 1,
+  "total_flos": 9.704602191670542e+18,
+  "trial_name": null,
+  "trial_params": null
+}