Upload 9 files

added_tokens.json

@@ -0,0 +1,1609 @@
+{
+  "<|0.00|>": 50364,
+  "<|0.02|>": 50365,
+  "<|0.04|>": 50366,
+  "<|0.06|>": 50367,
+  "<|0.08|>": 50368,
+  "<|0.10|>": 50369,
+  "<|0.12|>": 50370,
+  "<|0.14|>": 50371,
+  "<|0.16|>": 50372,
+  "<|0.18|>": 50373,
+  "<|0.20|>": 50374,
+  "<|0.22|>": 50375,
+  "<|0.24|>": 50376,
+  "<|0.26|>": 50377,
+  "<|0.28|>": 50378,
+  "<|0.30|>": 50379,
+  "<|0.32|>": 50380,
+  "<|0.34|>": 50381,
+  "<|0.36|>": 50382,
+  "<|0.38|>": 50383,
+  "<|0.40|>": 50384,
+  "<|0.42|>": 50385,
+  "<|0.44|>": 50386,
+  "<|0.46|>": 50387,
+  "<|0.48|>": 50388,
+  "<|0.50|>": 50389,
+  "<|0.52|>": 50390,
+  "<|0.54|>": 50391,
+  "<|0.56|>": 50392,
+  "<|0.58|>": 50393,
+  "<|0.60|>": 50394,
+  "<|0.62|>": 50395,
+  "<|0.64|>": 50396,
+  "<|0.66|>": 50397,
+  "<|0.68|>": 50398,
+  "<|0.70|>": 50399,
+  "<|0.72|>": 50400,
+  "<|0.74|>": 50401,
+  "<|0.76|>": 50402,
+  "<|0.78|>": 50403,
+  "<|0.80|>": 50404,
+  "<|0.82|>": 50405,
+  "<|0.84|>": 50406,
+  "<|0.86|>": 50407,
+  "<|0.88|>": 50408,
+  "<|0.90|>": 50409,
+  "<|0.92|>": 50410,
+  "<|0.94|>": 50411,
+  "<|0.96|>": 50412,
+  "<|0.98|>": 50413,
+  "<|1.00|>": 50414,
+  "<|1.02|>": 50415,
+  "<|1.04|>": 50416,
+  "<|1.06|>": 50417,
+  "<|1.08|>": 50418,
+  "<|1.10|>": 50419,
+  "<|1.12|>": 50420,
+  "<|1.14|>": 50421,
+  "<|1.16|>": 50422,
+  "<|1.18|>": 50423,
+  "<|1.20|>": 50424,
+  "<|1.22|>": 50425,
+  "<|1.24|>": 50426,
+  "<|1.26|>": 50427,
+  "<|1.28|>": 50428,
+  "<|1.30|>": 50429,
+  "<|1.32|>": 50430,
+  "<|1.34|>": 50431,
+  "<|1.36|>": 50432,
+  "<|1.38|>": 50433,
+  "<|1.40|>": 50434,
+  "<|1.42|>": 50435,
+  "<|1.44|>": 50436,
+  "<|1.46|>": 50437,
+  "<|1.48|>": 50438,
+  "<|1.50|>": 50439,
+  "<|1.52|>": 50440,
+  "<|1.54|>": 50441,
+  "<|1.56|>": 50442,
+  "<|1.58|>": 50443,
+  "<|1.60|>": 50444,
+  "<|1.62|>": 50445,
+  "<|1.64|>": 50446,
+  "<|1.66|>": 50447,
+  "<|1.68|>": 50448,
+  "<|1.70|>": 50449,
+  "<|1.72|>": 50450,
+  "<|1.74|>": 50451,
+  "<|1.76|>": 50452,
+  "<|1.78|>": 50453,
+  "<|1.80|>": 50454,
+  "<|1.82|>": 50455,
+  "<|1.84|>": 50456,
+  "<|1.86|>": 50457,
+  "<|1.88|>": 50458,
+  "<|1.90|>": 50459,
+  "<|1.92|>": 50460,
+  "<|1.94|>": 50461,
+  "<|1.96|>": 50462,
+  "<|1.98|>": 50463,
+  "<|10.00|>": 50864,
+  "<|10.02|>": 50865,
+  "<|10.04|>": 50866,
+  "<|10.06|>": 50867,
+  "<|10.08|>": 50868,
+  "<|10.10|>": 50869,
+  "<|10.12|>": 50870,
+  "<|10.14|>": 50871,
+  "<|10.16|>": 50872,
+  "<|10.18|>": 50873,
+  "<|10.20|>": 50874,
+  "<|10.22|>": 50875,
+  "<|10.24|>": 50876,
+  "<|10.26|>": 50877,
+  "<|10.28|>": 50878,
+  "<|10.30|>": 50879,
+  "<|10.32|>": 50880,
+  "<|10.34|>": 50881,
+  "<|10.36|>": 50882,
+  "<|10.38|>": 50883,
+  "<|10.40|>": 50884,
+  "<|10.42|>": 50885,
+  "<|10.44|>": 50886,
+  "<|10.46|>": 50887,
+  "<|10.48|>": 50888,
+  "<|10.50|>": 50889,
+  "<|10.52|>": 50890,
+  "<|10.54|>": 50891,
+  "<|10.56|>": 50892,
+  "<|10.58|>": 50893,
+  "<|10.60|>": 50894,
+  "<|10.62|>": 50895,
+  "<|10.64|>": 50896,
+  "<|10.66|>": 50897,
+  "<|10.68|>": 50898,
+  "<|10.70|>": 50899,
+  "<|10.72|>": 50900,
+  "<|10.74|>": 50901,
+  "<|10.76|>": 50902,
+  "<|10.78|>": 50903,
+  "<|10.80|>": 50904,
+  "<|10.82|>": 50905,
+  "<|10.84|>": 50906,
+  "<|10.86|>": 50907,
+  "<|10.88|>": 50908,
+  "<|10.90|>": 50909,
+  "<|10.92|>": 50910,
+  "<|10.94|>": 50911,
+  "<|10.96|>": 50912,
+  "<|10.98|>": 50913,
+  "<|11.00|>": 50914,
+  "<|11.02|>": 50915,
+  "<|11.04|>": 50916,
+  "<|11.06|>": 50917,
+  "<|11.08|>": 50918,
+  "<|11.10|>": 50919,
+  "<|11.12|>": 50920,
+  "<|11.14|>": 50921,
+  "<|11.16|>": 50922,
+  "<|11.18|>": 50923,
+  "<|11.20|>": 50924,
+  "<|11.22|>": 50925,
+  "<|11.24|>": 50926,
+  "<|11.26|>": 50927,
+  "<|11.28|>": 50928,
+  "<|11.30|>": 50929,
+  "<|11.32|>": 50930,
+  "<|11.34|>": 50931,
+  "<|11.36|>": 50932,
+  "<|11.38|>": 50933,
+  "<|11.40|>": 50934,
+  "<|11.42|>": 50935,
+  "<|11.44|>": 50936,
+  "<|11.46|>": 50937,
+  "<|11.48|>": 50938,
+  "<|11.50|>": 50939,
+  "<|11.52|>": 50940,
+  "<|11.54|>": 50941,
+  "<|11.56|>": 50942,
+  "<|11.58|>": 50943,
+  "<|11.60|>": 50944,
+  "<|11.62|>": 50945,
+  "<|11.64|>": 50946,
+  "<|11.66|>": 50947,
+  "<|11.68|>": 50948,
+  "<|11.70|>": 50949,
+  "<|11.72|>": 50950,
+  "<|11.74|>": 50951,
+  "<|11.76|>": 50952,
+  "<|11.78|>": 50953,
+  "<|11.80|>": 50954,
+  "<|11.82|>": 50955,
+  "<|11.84|>": 50956,
+  "<|11.86|>": 50957,
+  "<|11.88|>": 50958,
+  "<|11.90|>": 50959,
+  "<|11.92|>": 50960,
+  "<|11.94|>": 50961,
+  "<|11.96|>": 50962,
+  "<|11.98|>": 50963,
+  "<|12.00|>": 50964,
+  "<|12.02|>": 50965,
+  "<|12.04|>": 50966,
+  "<|12.06|>": 50967,
+  "<|12.08|>": 50968,
+  "<|12.10|>": 50969,
+  "<|12.12|>": 50970,
+  "<|12.14|>": 50971,
+  "<|12.16|>": 50972,
+  "<|12.18|>": 50973,
+  "<|12.20|>": 50974,
+  "<|12.22|>": 50975,
+  "<|12.24|>": 50976,
+  "<|12.26|>": 50977,
+  "<|12.28|>": 50978,
+  "<|12.30|>": 50979,
+  "<|12.32|>": 50980,
+  "<|12.34|>": 50981,
+  "<|12.36|>": 50982,
+  "<|12.38|>": 50983,
+  "<|12.40|>": 50984,
+  "<|12.42|>": 50985,
+  "<|12.44|>": 50986,
+  "<|12.46|>": 50987,
+  "<|12.48|>": 50988,
+  "<|12.50|>": 50989,
+  "<|12.52|>": 50990,
+  "<|12.54|>": 50991,
+  "<|12.56|>": 50992,
+  "<|12.58|>": 50993,
+  "<|12.60|>": 50994,
+  "<|12.62|>": 50995,
+  "<|12.64|>": 50996,
+  "<|12.66|>": 50997,
+  "<|12.68|>": 50998,
+  "<|12.70|>": 50999,
+  "<|12.72|>": 51000,
+  "<|12.74|>": 51001,
+  "<|12.76|>": 51002,
+  "<|12.78|>": 51003,
+  "<|12.80|>": 51004,
+  "<|12.82|>": 51005,
+  "<|12.84|>": 51006,
+  "<|12.86|>": 51007,
+  "<|12.88|>": 51008,
+  "<|12.90|>": 51009,
+  "<|12.92|>": 51010,
+  "<|12.94|>": 51011,
+  "<|12.96|>": 51012,
+  "<|12.98|>": 51013,
+  "<|13.00|>": 51014,
+  "<|13.02|>": 51015,
+  "<|13.04|>": 51016,
+  "<|13.06|>": 51017,
+  "<|13.08|>": 51018,
+  "<|13.10|>": 51019,
+  "<|13.12|>": 51020,
+  "<|13.14|>": 51021,
+  "<|13.16|>": 51022,
+  "<|13.18|>": 51023,
+  "<|13.20|>": 51024,
+  "<|13.22|>": 51025,
+  "<|13.24|>": 51026,
+  "<|13.26|>": 51027,
+  "<|13.28|>": 51028,
+  "<|13.30|>": 51029,
+  "<|13.32|>": 51030,
+  "<|13.34|>": 51031,
+  "<|13.36|>": 51032,
+  "<|13.38|>": 51033,
+  "<|13.40|>": 51034,
+  "<|13.42|>": 51035,
+  "<|13.44|>": 51036,
+  "<|13.46|>": 51037,
+  "<|13.48|>": 51038,
+  "<|13.50|>": 51039,
+  "<|13.52|>": 51040,
+  "<|13.54|>": 51041,
+  "<|13.56|>": 51042,
+  "<|13.58|>": 51043,
+  "<|13.60|>": 51044,
+  "<|13.62|>": 51045,
+  "<|13.64|>": 51046,
+  "<|13.66|>": 51047,
+  "<|13.68|>": 51048,
+  "<|13.70|>": 51049,
+  "<|13.72|>": 51050,
+  "<|13.74|>": 51051,
+  "<|13.76|>": 51052,
+  "<|13.78|>": 51053,
+  "<|13.80|>": 51054,
+  "<|13.82|>": 51055,
+  "<|13.84|>": 51056,
+  "<|13.86|>": 51057,
+  "<|13.88|>": 51058,
+  "<|13.90|>": 51059,
+  "<|13.92|>": 51060,
+  "<|13.94|>": 51061,
+  "<|13.96|>": 51062,
+  "<|13.98|>": 51063,
+  "<|14.00|>": 51064,
+  "<|14.02|>": 51065,
+  "<|14.04|>": 51066,
+  "<|14.06|>": 51067,
+  "<|14.08|>": 51068,
+  "<|14.10|>": 51069,
+  "<|14.12|>": 51070,
+  "<|14.14|>": 51071,
+  "<|14.16|>": 51072,
+  "<|14.18|>": 51073,
+  "<|14.20|>": 51074,
+  "<|14.22|>": 51075,
+  "<|14.24|>": 51076,
+  "<|14.26|>": 51077,
+  "<|14.28|>": 51078,
+  "<|14.30|>": 51079,
+  "<|14.32|>": 51080,
+  "<|14.34|>": 51081,
+  "<|14.36|>": 51082,
+  "<|14.38|>": 51083,
+  "<|14.40|>": 51084,
+  "<|14.42|>": 51085,
+  "<|14.44|>": 51086,
+  "<|14.46|>": 51087,
+  "<|14.48|>": 51088,
+  "<|14.50|>": 51089,
+  "<|14.52|>": 51090,
+  "<|14.54|>": 51091,
+  "<|14.56|>": 51092,
+  "<|14.58|>": 51093,
+  "<|14.60|>": 51094,
+  "<|14.62|>": 51095,
+  "<|14.64|>": 51096,
+  "<|14.66|>": 51097,
+  "<|14.68|>": 51098,
+  "<|14.70|>": 51099,
+  "<|14.72|>": 51100,
+  "<|14.74|>": 51101,
+  "<|14.76|>": 51102,
+  "<|14.78|>": 51103,
+  "<|14.80|>": 51104,
+  "<|14.82|>": 51105,
+  "<|14.84|>": 51106,
+  "<|14.86|>": 51107,
+  "<|14.88|>": 51108,
+  "<|14.90|>": 51109,
+  "<|14.92|>": 51110,
+  "<|14.94|>": 51111,
+  "<|14.96|>": 51112,
+  "<|14.98|>": 51113,
+  "<|15.00|>": 51114,
+  "<|15.02|>": 51115,
+  "<|15.04|>": 51116,
+  "<|15.06|>": 51117,
+  "<|15.08|>": 51118,
+  "<|15.10|>": 51119,
+  "<|15.12|>": 51120,
+  "<|15.14|>": 51121,
+  "<|15.16|>": 51122,
+  "<|15.18|>": 51123,
+  "<|15.20|>": 51124,
+  "<|15.22|>": 51125,
+  "<|15.24|>": 51126,
+  "<|15.26|>": 51127,
+  "<|15.28|>": 51128,
+  "<|15.30|>": 51129,
+  "<|15.32|>": 51130,
+  "<|15.34|>": 51131,
+  "<|15.36|>": 51132,
+  "<|15.38|>": 51133,
+  "<|15.40|>": 51134,
+  "<|15.42|>": 51135,
+  "<|15.44|>": 51136,
+  "<|15.46|>": 51137,
+  "<|15.48|>": 51138,
+  "<|15.50|>": 51139,
+  "<|15.52|>": 51140,
+  "<|15.54|>": 51141,
+  "<|15.56|>": 51142,
+  "<|15.58|>": 51143,
+  "<|15.60|>": 51144,
+  "<|15.62|>": 51145,
+  "<|15.64|>": 51146,
+  "<|15.66|>": 51147,
+  "<|15.68|>": 51148,
+  "<|15.70|>": 51149,
+  "<|15.72|>": 51150,
+  "<|15.74|>": 51151,
+  "<|15.76|>": 51152,
+  "<|15.78|>": 51153,
+  "<|15.80|>": 51154,
+  "<|15.82|>": 51155,
+  "<|15.84|>": 51156,
+  "<|15.86|>": 51157,
+  "<|15.88|>": 51158,
+  "<|15.90|>": 51159,
+  "<|15.92|>": 51160,
+  "<|15.94|>": 51161,
+  "<|15.96|>": 51162,
+  "<|15.98|>": 51163,
+  "<|16.00|>": 51164,
+  "<|16.02|>": 51165,
+  "<|16.04|>": 51166,
+  "<|16.06|>": 51167,
+  "<|16.08|>": 51168,
+  "<|16.10|>": 51169,
+  "<|16.12|>": 51170,
+  "<|16.14|>": 51171,
+  "<|16.16|>": 51172,
+  "<|16.18|>": 51173,
+  "<|16.20|>": 51174,
+  "<|16.22|>": 51175,
+  "<|16.24|>": 51176,
+  "<|16.26|>": 51177,
+  "<|16.28|>": 51178,
+  "<|16.30|>": 51179,
+  "<|16.32|>": 51180,
+  "<|16.34|>": 51181,
+  "<|16.36|>": 51182,
+  "<|16.38|>": 51183,
+  "<|16.40|>": 51184,
+  "<|16.42|>": 51185,
+  "<|16.44|>": 51186,
+  "<|16.46|>": 51187,
+  "<|16.48|>": 51188,
+  "<|16.50|>": 51189,
+  "<|16.52|>": 51190,
+  "<|16.54|>": 51191,
+  "<|16.56|>": 51192,
+  "<|16.58|>": 51193,
+  "<|16.60|>": 51194,
+  "<|16.62|>": 51195,
+  "<|16.64|>": 51196,
+  "<|16.66|>": 51197,
+  "<|16.68|>": 51198,
+  "<|16.70|>": 51199,
+  "<|16.72|>": 51200,
+  "<|16.74|>": 51201,
+  "<|16.76|>": 51202,
+  "<|16.78|>": 51203,
+  "<|16.80|>": 51204,
+  "<|16.82|>": 51205,
+  "<|16.84|>": 51206,
+  "<|16.86|>": 51207,
+  "<|16.88|>": 51208,
+  "<|16.90|>": 51209,
+  "<|16.92|>": 51210,
+  "<|16.94|>": 51211,
+  "<|16.96|>": 51212,
+  "<|16.98|>": 51213,
+  "<|17.00|>": 51214,
+  "<|17.02|>": 51215,
+  "<|17.04|>": 51216,
+  "<|17.06|>": 51217,
+  "<|17.08|>": 51218,
+  "<|17.10|>": 51219,
+  "<|17.12|>": 51220,
+  "<|17.14|>": 51221,
+  "<|17.16|>": 51222,
+  "<|17.18|>": 51223,
+  "<|17.20|>": 51224,
+  "<|17.22|>": 51225,
+  "<|17.24|>": 51226,
+  "<|17.26|>": 51227,
+  "<|17.28|>": 51228,
+  "<|17.30|>": 51229,
+  "<|17.32|>": 51230,
+  "<|17.34|>": 51231,
+  "<|17.36|>": 51232,
+  "<|17.38|>": 51233,
+  "<|17.40|>": 51234,
+  "<|17.42|>": 51235,
+  "<|17.44|>": 51236,
+  "<|17.46|>": 51237,
+  "<|17.48|>": 51238,
+  "<|17.50|>": 51239,
+  "<|17.52|>": 51240,
+  "<|17.54|>": 51241,
+  "<|17.56|>": 51242,
+  "<|17.58|>": 51243,
+  "<|17.60|>": 51244,
+  "<|17.62|>": 51245,
+  "<|17.64|>": 51246,
+  "<|17.66|>": 51247,
+  "<|17.68|>": 51248,
+  "<|17.70|>": 51249,
+  "<|17.72|>": 51250,
+  "<|17.74|>": 51251,
+  "<|17.76|>": 51252,
+  "<|17.78|>": 51253,
+  "<|17.80|>": 51254,
+  "<|17.82|>": 51255,
+  "<|17.84|>": 51256,
+  "<|17.86|>": 51257,
+  "<|17.88|>": 51258,
+  "<|17.90|>": 51259,
+  "<|17.92|>": 51260,
+  "<|17.94|>": 51261,
+  "<|17.96|>": 51262,
+  "<|17.98|>": 51263,
+  "<|18.00|>": 51264,
+  "<|18.02|>": 51265,
+  "<|18.04|>": 51266,
+  "<|18.06|>": 51267,
+  "<|18.08|>": 51268,
+  "<|18.10|>": 51269,
+  "<|18.12|>": 51270,
+  "<|18.14|>": 51271,
+  "<|18.16|>": 51272,
+  "<|18.18|>": 51273,
+  "<|18.20|>": 51274,
+  "<|18.22|>": 51275,
+  "<|18.24|>": 51276,
+  "<|18.26|>": 51277,
+  "<|18.28|>": 51278,
+  "<|18.30|>": 51279,
+  "<|18.32|>": 51280,
+  "<|18.34|>": 51281,
+  "<|18.36|>": 51282,
+  "<|18.38|>": 51283,
+  "<|18.40|>": 51284,
+  "<|18.42|>": 51285,
+  "<|18.44|>": 51286,
+  "<|18.46|>": 51287,
+  "<|18.48|>": 51288,
+  "<|18.50|>": 51289,
+  "<|18.52|>": 51290,
+  "<|18.54|>": 51291,
+  "<|18.56|>": 51292,
+  "<|18.58|>": 51293,
+  "<|18.60|>": 51294,
+  "<|18.62|>": 51295,
+  "<|18.64|>": 51296,
+  "<|18.66|>": 51297,
+  "<|18.68|>": 51298,
+  "<|18.70|>": 51299,
+  "<|18.72|>": 51300,
+  "<|18.74|>": 51301,
+  "<|18.76|>": 51302,
+  "<|18.78|>": 51303,
+  "<|18.80|>": 51304,
+  "<|18.82|>": 51305,
+  "<|18.84|>": 51306,
+  "<|18.86|>": 51307,
+  "<|18.88|>": 51308,
+  "<|18.90|>": 51309,
+  "<|18.92|>": 51310,
+  "<|18.94|>": 51311,
+  "<|18.96|>": 51312,
+  "<|18.98|>": 51313,
+  "<|19.00|>": 51314,
+  "<|19.02|>": 51315,
+  "<|19.04|>": 51316,
+  "<|19.06|>": 51317,
+  "<|19.08|>": 51318,
+  "<|19.10|>": 51319,
+  "<|19.12|>": 51320,
+  "<|19.14|>": 51321,
+  "<|19.16|>": 51322,
+  "<|19.18|>": 51323,
+  "<|19.20|>": 51324,
+  "<|19.22|>": 51325,
+  "<|19.24|>": 51326,
+  "<|19.26|>": 51327,
+  "<|19.28|>": 51328,
+  "<|19.30|>": 51329,
+  "<|19.32|>": 51330,
+  "<|19.34|>": 51331,
+  "<|19.36|>": 51332,
+  "<|19.38|>": 51333,
+  "<|19.40|>": 51334,
+  "<|19.42|>": 51335,
+  "<|19.44|>": 51336,
+  "<|19.46|>": 51337,
+  "<|19.48|>": 51338,
+  "<|19.50|>": 51339,
+  "<|19.52|>": 51340,
+  "<|19.54|>": 51341,
+  "<|19.56|>": 51342,
+  "<|19.58|>": 51343,
+  "<|19.60|>": 51344,
+  "<|19.62|>": 51345,
+  "<|19.64|>": 51346,
+  "<|19.66|>": 51347,
+  "<|19.68|>": 51348,
+  "<|19.70|>": 51349,
+  "<|19.72|>": 51350,
+  "<|19.74|>": 51351,
+  "<|19.76|>": 51352,
+  "<|19.78|>": 51353,
+  "<|19.80|>": 51354,
+  "<|19.82|>": 51355,
+  "<|19.84|>": 51356,
+  "<|19.86|>": 51357,
+  "<|19.88|>": 51358,
+  "<|19.90|>": 51359,
+  "<|19.92|>": 51360,
+  "<|19.94|>": 51361,
+  "<|19.96|>": 51362,
+  "<|19.98|>": 51363,
+  "<|2.00|>": 50464,
+  "<|2.02|>": 50465,
+  "<|2.04|>": 50466,
+  "<|2.06|>": 50467,
+  "<|2.08|>": 50468,
+  "<|2.10|>": 50469,
+  "<|2.12|>": 50470,
+  "<|2.14|>": 50471,
+  "<|2.16|>": 50472,
+  "<|2.18|>": 50473,
+  "<|2.20|>": 50474,
+  "<|2.22|>": 50475,
+  "<|2.24|>": 50476,
+  "<|2.26|>": 50477,
+  "<|2.28|>": 50478,
+  "<|2.30|>": 50479,
+  "<|2.32|>": 50480,
+  "<|2.34|>": 50481,
+  "<|2.36|>": 50482,
+  "<|2.38|>": 50483,
+  "<|2.40|>": 50484,
+  "<|2.42|>": 50485,
+  "<|2.44|>": 50486,
+  "<|2.46|>": 50487,
+  "<|2.48|>": 50488,
+  "<|2.50|>": 50489,
+  "<|2.52|>": 50490,
+  "<|2.54|>": 50491,
+  "<|2.56|>": 50492,
+  "<|2.58|>": 50493,
+  "<|2.60|>": 50494,
+  "<|2.62|>": 50495,
+  "<|2.64|>": 50496,
+  "<|2.66|>": 50497,
+  "<|2.68|>": 50498,
+  "<|2.70|>": 50499,
+  "<|2.72|>": 50500,
+  "<|2.74|>": 50501,
+  "<|2.76|>": 50502,
+  "<|2.78|>": 50503,
+  "<|2.80|>": 50504,
+  "<|2.82|>": 50505,
+  "<|2.84|>": 50506,
+  "<|2.86|>": 50507,
+  "<|2.88|>": 50508,
+  "<|2.90|>": 50509,
+  "<|2.92|>": 50510,
+  "<|2.94|>": 50511,
+  "<|2.96|>": 50512,
+  "<|2.98|>": 50513,
+  "<|20.00|>": 51364,
+  "<|20.02|>": 51365,
+  "<|20.04|>": 51366,
+  "<|20.06|>": 51367,
+  "<|20.08|>": 51368,
+  "<|20.10|>": 51369,
+  "<|20.12|>": 51370,
+  "<|20.14|>": 51371,
+  "<|20.16|>": 51372,
+  "<|20.18|>": 51373,
+  "<|20.20|>": 51374,
+  "<|20.22|>": 51375,
+  "<|20.24|>": 51376,
+  "<|20.26|>": 51377,
+  "<|20.28|>": 51378,
+  "<|20.30|>": 51379,
+  "<|20.32|>": 51380,
+  "<|20.34|>": 51381,
+  "<|20.36|>": 51382,
+  "<|20.38|>": 51383,
+  "<|20.40|>": 51384,
+  "<|20.42|>": 51385,
+  "<|20.44|>": 51386,
+  "<|20.46|>": 51387,
+  "<|20.48|>": 51388,
+  "<|20.50|>": 51389,
+  "<|20.52|>": 51390,
+  "<|20.54|>": 51391,
+  "<|20.56|>": 51392,
+  "<|20.58|>": 51393,
+  "<|20.60|>": 51394,
+  "<|20.62|>": 51395,
+  "<|20.64|>": 51396,
+  "<|20.66|>": 51397,
+  "<|20.68|>": 51398,
+  "<|20.70|>": 51399,
+  "<|20.72|>": 51400,
+  "<|20.74|>": 51401,
+  "<|20.76|>": 51402,
+  "<|20.78|>": 51403,
+  "<|20.80|>": 51404,
+  "<|20.82|>": 51405,
+  "<|20.84|>": 51406,
+  "<|20.86|>": 51407,
+  "<|20.88|>": 51408,
+  "<|20.90|>": 51409,
+  "<|20.92|>": 51410,
+  "<|20.94|>": 51411,
+  "<|20.96|>": 51412,
+  "<|20.98|>": 51413,
+  "<|21.00|>": 51414,
+  "<|21.02|>": 51415,
+  "<|21.04|>": 51416,
+  "<|21.06|>": 51417,
+  "<|21.08|>": 51418,
+  "<|21.10|>": 51419,
+  "<|21.12|>": 51420,
+  "<|21.14|>": 51421,
+  "<|21.16|>": 51422,
+  "<|21.18|>": 51423,
+  "<|21.20|>": 51424,
+  "<|21.22|>": 51425,
+  "<|21.24|>": 51426,
+  "<|21.26|>": 51427,
+  "<|21.28|>": 51428,
+  "<|21.30|>": 51429,
+  "<|21.32|>": 51430,
+  "<|21.34|>": 51431,
+  "<|21.36|>": 51432,
+  "<|21.38|>": 51433,
+  "<|21.40|>": 51434,
+  "<|21.42|>": 51435,
+  "<|21.44|>": 51436,
+  "<|21.46|>": 51437,
+  "<|21.48|>": 51438,
+  "<|21.50|>": 51439,
+  "<|21.52|>": 51440,
+  "<|21.54|>": 51441,
+  "<|21.56|>": 51442,
+  "<|21.58|>": 51443,
+  "<|21.60|>": 51444,
+  "<|21.62|>": 51445,
+  "<|21.64|>": 51446,
+  "<|21.66|>": 51447,
+  "<|21.68|>": 51448,
+  "<|21.70|>": 51449,
+  "<|21.72|>": 51450,
+  "<|21.74|>": 51451,
+  "<|21.76|>": 51452,
+  "<|21.78|>": 51453,
+  "<|21.80|>": 51454,
+  "<|21.82|>": 51455,
+  "<|21.84|>": 51456,
+  "<|21.86|>": 51457,
+  "<|21.88|>": 51458,
+  "<|21.90|>": 51459,
+  "<|21.92|>": 51460,
+  "<|21.94|>": 51461,
+  "<|21.96|>": 51462,
+  "<|21.98|>": 51463,
+  "<|22.00|>": 51464,
+  "<|22.02|>": 51465,
+  "<|22.04|>": 51466,
+  "<|22.06|>": 51467,
+  "<|22.08|>": 51468,
+  "<|22.10|>": 51469,
+  "<|22.12|>": 51470,
+  "<|22.14|>": 51471,
+  "<|22.16|>": 51472,
+  "<|22.18|>": 51473,
+  "<|22.20|>": 51474,
+  "<|22.22|>": 51475,
+  "<|22.24|>": 51476,
+  "<|22.26|>": 51477,
+  "<|22.28|>": 51478,
+  "<|22.30|>": 51479,
+  "<|22.32|>": 51480,
+  "<|22.34|>": 51481,
+  "<|22.36|>": 51482,
+  "<|22.38|>": 51483,
+  "<|22.40|>": 51484,
+  "<|22.42|>": 51485,
+  "<|22.44|>": 51486,
+  "<|22.46|>": 51487,
+  "<|22.48|>": 51488,
+  "<|22.50|>": 51489,
+  "<|22.52|>": 51490,
+  "<|22.54|>": 51491,
+  "<|22.56|>": 51492,
+  "<|22.58|>": 51493,
+  "<|22.60|>": 51494,
+  "<|22.62|>": 51495,
+  "<|22.64|>": 51496,
+  "<|22.66|>": 51497,
+  "<|22.68|>": 51498,
+  "<|22.70|>": 51499,
+  "<|22.72|>": 51500,
+  "<|22.74|>": 51501,
+  "<|22.76|>": 51502,
+  "<|22.78|>": 51503,
+  "<|22.80|>": 51504,
+  "<|22.82|>": 51505,
+  "<|22.84|>": 51506,
+  "<|22.86|>": 51507,
+  "<|22.88|>": 51508,
+  "<|22.90|>": 51509,
+  "<|22.92|>": 51510,
+  "<|22.94|>": 51511,
+  "<|22.96|>": 51512,
+  "<|22.98|>": 51513,
+  "<|23.00|>": 51514,
+  "<|23.02|>": 51515,
+  "<|23.04|>": 51516,
+  "<|23.06|>": 51517,
+  "<|23.08|>": 51518,
+  "<|23.10|>": 51519,
+  "<|23.12|>": 51520,
+  "<|23.14|>": 51521,
+  "<|23.16|>": 51522,
+  "<|23.18|>": 51523,
+  "<|23.20|>": 51524,
+  "<|23.22|>": 51525,
+  "<|23.24|>": 51526,
+  "<|23.26|>": 51527,
+  "<|23.28|>": 51528,
+  "<|23.30|>": 51529,
+  "<|23.32|>": 51530,
+  "<|23.34|>": 51531,
+  "<|23.36|>": 51532,
+  "<|23.38|>": 51533,
+  "<|23.40|>": 51534,
+  "<|23.42|>": 51535,
+  "<|23.44|>": 51536,
+  "<|23.46|>": 51537,
+  "<|23.48|>": 51538,
+  "<|23.50|>": 51539,
+  "<|23.52|>": 51540,
+  "<|23.54|>": 51541,
+  "<|23.56|>": 51542,
+  "<|23.58|>": 51543,
+  "<|23.60|>": 51544,
+  "<|23.62|>": 51545,
+  "<|23.64|>": 51546,
+  "<|23.66|>": 51547,
+  "<|23.68|>": 51548,
+  "<|23.70|>": 51549,
+  "<|23.72|>": 51550,
+  "<|23.74|>": 51551,
+  "<|23.76|>": 51552,
+  "<|23.78|>": 51553,
+  "<|23.80|>": 51554,
+  "<|23.82|>": 51555,
+  "<|23.84|>": 51556,
+  "<|23.86|>": 51557,
+  "<|23.88|>": 51558,
+  "<|23.90|>": 51559,
+  "<|23.92|>": 51560,
+  "<|23.94|>": 51561,
+  "<|23.96|>": 51562,
+  "<|23.98|>": 51563,
+  "<|24.00|>": 51564,
+  "<|24.02|>": 51565,
+  "<|24.04|>": 51566,
+  "<|24.06|>": 51567,
+  "<|24.08|>": 51568,
+  "<|24.10|>": 51569,
+  "<|24.12|>": 51570,
+  "<|24.14|>": 51571,
+  "<|24.16|>": 51572,
+  "<|24.18|>": 51573,
+  "<|24.20|>": 51574,
+  "<|24.22|>": 51575,
+  "<|24.24|>": 51576,
+  "<|24.26|>": 51577,
+  "<|24.28|>": 51578,
+  "<|24.30|>": 51579,
+  "<|24.32|>": 51580,
+  "<|24.34|>": 51581,
+  "<|24.36|>": 51582,
+  "<|24.38|>": 51583,
+  "<|24.40|>": 51584,
+  "<|24.42|>": 51585,
+  "<|24.44|>": 51586,
+  "<|24.46|>": 51587,
+  "<|24.48|>": 51588,
+  "<|24.50|>": 51589,
+  "<|24.52|>": 51590,
+  "<|24.54|>": 51591,
+  "<|24.56|>": 51592,
+  "<|24.58|>": 51593,
+  "<|24.60|>": 51594,
+  "<|24.62|>": 51595,
+  "<|24.64|>": 51596,
+  "<|24.66|>": 51597,
+  "<|24.68|>": 51598,
+  "<|24.70|>": 51599,
+  "<|24.72|>": 51600,
+  "<|24.74|>": 51601,
+  "<|24.76|>": 51602,
+  "<|24.78|>": 51603,
+  "<|24.80|>": 51604,
+  "<|24.82|>": 51605,
+  "<|24.84|>": 51606,
+  "<|24.86|>": 51607,
+  "<|24.88|>": 51608,
+  "<|24.90|>": 51609,
+  "<|24.92|>": 51610,
+  "<|24.94|>": 51611,
+  "<|24.96|>": 51612,
+  "<|24.98|>": 51613,
+  "<|25.00|>": 51614,
+  "<|25.02|>": 51615,
+  "<|25.04|>": 51616,
+  "<|25.06|>": 51617,
+  "<|25.08|>": 51618,
+  "<|25.10|>": 51619,
+  "<|25.12|>": 51620,
+  "<|25.14|>": 51621,
+  "<|25.16|>": 51622,
+  "<|25.18|>": 51623,
+  "<|25.20|>": 51624,
+  "<|25.22|>": 51625,
+  "<|25.24|>": 51626,
+  "<|25.26|>": 51627,
+  "<|25.28|>": 51628,
+  "<|25.30|>": 51629,
+  "<|25.32|>": 51630,
+  "<|25.34|>": 51631,
+  "<|25.36|>": 51632,
+  "<|25.38|>": 51633,
+  "<|25.40|>": 51634,
+  "<|25.42|>": 51635,
+  "<|25.44|>": 51636,
+  "<|25.46|>": 51637,
+  "<|25.48|>": 51638,
+  "<|25.50|>": 51639,
+  "<|25.52|>": 51640,
+  "<|25.54|>": 51641,
+  "<|25.56|>": 51642,
+  "<|25.58|>": 51643,
+  "<|25.60|>": 51644,
+  "<|25.62|>": 51645,
+  "<|25.64|>": 51646,
+  "<|25.66|>": 51647,
+  "<|25.68|>": 51648,
+  "<|25.70|>": 51649,
+  "<|25.72|>": 51650,
+  "<|25.74|>": 51651,
+  "<|25.76|>": 51652,
+  "<|25.78|>": 51653,
+  "<|25.80|>": 51654,
+  "<|25.82|>": 51655,
+  "<|25.84|>": 51656,
+  "<|25.86|>": 51657,
+  "<|25.88|>": 51658,
+  "<|25.90|>": 51659,
+  "<|25.92|>": 51660,
+  "<|25.94|>": 51661,
+  "<|25.96|>": 51662,
+  "<|25.98|>": 51663,
+  "<|26.00|>": 51664,
+  "<|26.02|>": 51665,
+  "<|26.04|>": 51666,
+  "<|26.06|>": 51667,
+  "<|26.08|>": 51668,
+  "<|26.10|>": 51669,
+  "<|26.12|>": 51670,
+  "<|26.14|>": 51671,
+  "<|26.16|>": 51672,
+  "<|26.18|>": 51673,
+  "<|26.20|>": 51674,
+  "<|26.22|>": 51675,
+  "<|26.24|>": 51676,
+  "<|26.26|>": 51677,
+  "<|26.28|>": 51678,
+  "<|26.30|>": 51679,
+  "<|26.32|>": 51680,
+  "<|26.34|>": 51681,
+  "<|26.36|>": 51682,
+  "<|26.38|>": 51683,
+  "<|26.40|>": 51684,
+  "<|26.42|>": 51685,
+  "<|26.44|>": 51686,
+  "<|26.46|>": 51687,
+  "<|26.48|>": 51688,
+  "<|26.50|>": 51689,
+  "<|26.52|>": 51690,
+  "<|26.54|>": 51691,
+  "<|26.56|>": 51692,
+  "<|26.58|>": 51693,
+  "<|26.60|>": 51694,
+  "<|26.62|>": 51695,
+  "<|26.64|>": 51696,
+  "<|26.66|>": 51697,
+  "<|26.68|>": 51698,
+  "<|26.70|>": 51699,
+  "<|26.72|>": 51700,
+  "<|26.74|>": 51701,
+  "<|26.76|>": 51702,
+  "<|26.78|>": 51703,
+  "<|26.80|>": 51704,
+  "<|26.82|>": 51705,
+  "<|26.84|>": 51706,
+  "<|26.86|>": 51707,
+  "<|26.88|>": 51708,
+  "<|26.90|>": 51709,
+  "<|26.92|>": 51710,
+  "<|26.94|>": 51711,
+  "<|26.96|>": 51712,
+  "<|26.98|>": 51713,
+  "<|27.00|>": 51714,
+  "<|27.02|>": 51715,
+  "<|27.04|>": 51716,
+  "<|27.06|>": 51717,
+  "<|27.08|>": 51718,
+  "<|27.10|>": 51719,
+  "<|27.12|>": 51720,
+  "<|27.14|>": 51721,
+  "<|27.16|>": 51722,
+  "<|27.18|>": 51723,
+  "<|27.20|>": 51724,
+  "<|27.22|>": 51725,
+  "<|27.24|>": 51726,
+  "<|27.26|>": 51727,
+  "<|27.28|>": 51728,
+  "<|27.30|>": 51729,
+  "<|27.32|>": 51730,
+  "<|27.34|>": 51731,
+  "<|27.36|>": 51732,
+  "<|27.38|>": 51733,
+  "<|27.40|>": 51734,
+  "<|27.42|>": 51735,
+  "<|27.44|>": 51736,
+  "<|27.46|>": 51737,
+  "<|27.48|>": 51738,
+  "<|27.50|>": 51739,
+  "<|27.52|>": 51740,
+  "<|27.54|>": 51741,
+  "<|27.56|>": 51742,
+  "<|27.58|>": 51743,
+  "<|27.60|>": 51744,
+  "<|27.62|>": 51745,
+  "<|27.64|>": 51746,
+  "<|27.66|>": 51747,
+  "<|27.68|>": 51748,
+  "<|27.70|>": 51749,
+  "<|27.72|>": 51750,
+  "<|27.74|>": 51751,
+  "<|27.76|>": 51752,
+  "<|27.78|>": 51753,
+  "<|27.80|>": 51754,
+  "<|27.82|>": 51755,
+  "<|27.84|>": 51756,
+  "<|27.86|>": 51757,
+  "<|27.88|>": 51758,
+  "<|27.90|>": 51759,
+  "<|27.92|>": 51760,
+  "<|27.94|>": 51761,
+  "<|27.96|>": 51762,
+  "<|27.98|>": 51763,
+  "<|28.00|>": 51764,
+  "<|28.02|>": 51765,
+  "<|28.04|>": 51766,
+  "<|28.06|>": 51767,
+  "<|28.08|>": 51768,
+  "<|28.10|>": 51769,
+  "<|28.12|>": 51770,
+  "<|28.14|>": 51771,
+  "<|28.16|>": 51772,
+  "<|28.18|>": 51773,
+  "<|28.20|>": 51774,
+  "<|28.22|>": 51775,
+  "<|28.24|>": 51776,
+  "<|28.26|>": 51777,
+  "<|28.28|>": 51778,
+  "<|28.30|>": 51779,
+  "<|28.32|>": 51780,
+  "<|28.34|>": 51781,
+  "<|28.36|>": 51782,
+  "<|28.38|>": 51783,
+  "<|28.40|>": 51784,
+  "<|28.42|>": 51785,
+  "<|28.44|>": 51786,
+  "<|28.46|>": 51787,
+  "<|28.48|>": 51788,
+  "<|28.50|>": 51789,
+  "<|28.52|>": 51790,
+  "<|28.54|>": 51791,
+  "<|28.56|>": 51792,
+  "<|28.58|>": 51793,
+  "<|28.60|>": 51794,
+  "<|28.62|>": 51795,
+  "<|28.64|>": 51796,
+  "<|28.66|>": 51797,
+  "<|28.68|>": 51798,
+  "<|28.70|>": 51799,
+  "<|28.72|>": 51800,
+  "<|28.74|>": 51801,
+  "<|28.76|>": 51802,
+  "<|28.78|>": 51803,
+  "<|28.80|>": 51804,
+  "<|28.82|>": 51805,
+  "<|28.84|>": 51806,
+  "<|28.86|>": 51807,
+  "<|28.88|>": 51808,
+  "<|28.90|>": 51809,
+  "<|28.92|>": 51810,
+  "<|28.94|>": 51811,
+  "<|28.96|>": 51812,
+  "<|28.98|>": 51813,
+  "<|29.00|>": 51814,
+  "<|29.02|>": 51815,
+  "<|29.04|>": 51816,
+  "<|29.06|>": 51817,
+  "<|29.08|>": 51818,
+  "<|29.10|>": 51819,
+  "<|29.12|>": 51820,
+  "<|29.14|>": 51821,
+  "<|29.16|>": 51822,
+  "<|29.18|>": 51823,
+  "<|29.20|>": 51824,
+  "<|29.22|>": 51825,
+  "<|29.24|>": 51826,
+  "<|29.26|>": 51827,
+  "<|29.28|>": 51828,
+  "<|29.30|>": 51829,
+  "<|29.32|>": 51830,
+  "<|29.34|>": 51831,
+  "<|29.36|>": 51832,
+  "<|29.38|>": 51833,
+  "<|29.40|>": 51834,
+  "<|29.42|>": 51835,
+  "<|29.44|>": 51836,
+  "<|29.46|>": 51837,
+  "<|29.48|>": 51838,
+  "<|29.50|>": 51839,
+  "<|29.52|>": 51840,
+  "<|29.54|>": 51841,
+  "<|29.56|>": 51842,
+  "<|29.58|>": 51843,
+  "<|29.60|>": 51844,
+  "<|29.62|>": 51845,
+  "<|29.64|>": 51846,
+  "<|29.66|>": 51847,
+  "<|29.68|>": 51848,
+  "<|29.70|>": 51849,
+  "<|29.72|>": 51850,
+  "<|29.74|>": 51851,
+  "<|29.76|>": 51852,
+  "<|29.78|>": 51853,
+  "<|29.80|>": 51854,
+  "<|29.82|>": 51855,
+  "<|29.84|>": 51856,
+  "<|29.86|>": 51857,
+  "<|29.88|>": 51858,
+  "<|29.90|>": 51859,
+  "<|29.92|>": 51860,
+  "<|29.94|>": 51861,
+  "<|29.96|>": 51862,
+  "<|29.98|>": 51863,
+  "<|3.00|>": 50514,
+  "<|3.02|>": 50515,
+  "<|3.04|>": 50516,
+  "<|3.06|>": 50517,
+  "<|3.08|>": 50518,
+  "<|3.10|>": 50519,
+  "<|3.12|>": 50520,
+  "<|3.14|>": 50521,
+  "<|3.16|>": 50522,
+  "<|3.18|>": 50523,
+  "<|3.20|>": 50524,
+  "<|3.22|>": 50525,
+  "<|3.24|>": 50526,
+  "<|3.26|>": 50527,
+  "<|3.28|>": 50528,
+  "<|3.30|>": 50529,
+  "<|3.32|>": 50530,
+  "<|3.34|>": 50531,
+  "<|3.36|>": 50532,
+  "<|3.38|>": 50533,
+  "<|3.40|>": 50534,
+  "<|3.42|>": 50535,
+  "<|3.44|>": 50536,
+  "<|3.46|>": 50537,
+  "<|3.48|>": 50538,
+  "<|3.50|>": 50539,
+  "<|3.52|>": 50540,
+  "<|3.54|>": 50541,
+  "<|3.56|>": 50542,
+  "<|3.58|>": 50543,
+  "<|3.60|>": 50544,
+  "<|3.62|>": 50545,
+  "<|3.64|>": 50546,
+  "<|3.66|>": 50547,
+  "<|3.68|>": 50548,
+  "<|3.70|>": 50549,
+  "<|3.72|>": 50550,
+  "<|3.74|>": 50551,
+  "<|3.76|>": 50552,
+  "<|3.78|>": 50553,
+  "<|3.80|>": 50554,
+  "<|3.82|>": 50555,
+  "<|3.84|>": 50556,
+  "<|3.86|>": 50557,
+  "<|3.88|>": 50558,
+  "<|3.90|>": 50559,
+  "<|3.92|>": 50560,
+  "<|3.94|>": 50561,
+  "<|3.96|>": 50562,
+  "<|3.98|>": 50563,
+  "<|30.00|>": 51864,
+  "<|4.00|>": 50564,
+  "<|4.02|>": 50565,
+  "<|4.04|>": 50566,
+  "<|4.06|>": 50567,
+  "<|4.08|>": 50568,
+  "<|4.10|>": 50569,
+  "<|4.12|>": 50570,
+  "<|4.14|>": 50571,
+  "<|4.16|>": 50572,
+  "<|4.18|>": 50573,
+  "<|4.20|>": 50574,
+  "<|4.22|>": 50575,
+  "<|4.24|>": 50576,
+  "<|4.26|>": 50577,
+  "<|4.28|>": 50578,
+  "<|4.30|>": 50579,
+  "<|4.32|>": 50580,
+  "<|4.34|>": 50581,
+  "<|4.36|>": 50582,
+  "<|4.38|>": 50583,
+  "<|4.40|>": 50584,
+  "<|4.42|>": 50585,
+  "<|4.44|>": 50586,
+  "<|4.46|>": 50587,
+  "<|4.48|>": 50588,
+  "<|4.50|>": 50589,
+  "<|4.52|>": 50590,
+  "<|4.54|>": 50591,
+  "<|4.56|>": 50592,
+  "<|4.58|>": 50593,
+  "<|4.60|>": 50594,
+  "<|4.62|>": 50595,
+  "<|4.64|>": 50596,
+  "<|4.66|>": 50597,
+  "<|4.68|>": 50598,
+  "<|4.70|>": 50599,
+  "<|4.72|>": 50600,
+  "<|4.74|>": 50601,
+  "<|4.76|>": 50602,
+  "<|4.78|>": 50603,
+  "<|4.80|>": 50604,
+  "<|4.82|>": 50605,
+  "<|4.84|>": 50606,
+  "<|4.86|>": 50607,
+  "<|4.88|>": 50608,
+  "<|4.90|>": 50609,
+  "<|4.92|>": 50610,
+  "<|4.94|>": 50611,
+  "<|4.96|>": 50612,
+  "<|4.98|>": 50613,
+  "<|5.00|>": 50614,
+  "<|5.02|>": 50615,
+  "<|5.04|>": 50616,
+  "<|5.06|>": 50617,
+  "<|5.08|>": 50618,
+  "<|5.10|>": 50619,
+  "<|5.12|>": 50620,
+  "<|5.14|>": 50621,
+  "<|5.16|>": 50622,
+  "<|5.18|>": 50623,
+  "<|5.20|>": 50624,
+  "<|5.22|>": 50625,
+  "<|5.24|>": 50626,
+  "<|5.26|>": 50627,
+  "<|5.28|>": 50628,
+  "<|5.30|>": 50629,
+  "<|5.32|>": 50630,
+  "<|5.34|>": 50631,
+  "<|5.36|>": 50632,
+  "<|5.38|>": 50633,
+  "<|5.40|>": 50634,
+  "<|5.42|>": 50635,
+  "<|5.44|>": 50636,
+  "<|5.46|>": 50637,
+  "<|5.48|>": 50638,
+  "<|5.50|>": 50639,
+  "<|5.52|>": 50640,
+  "<|5.54|>": 50641,
+  "<|5.56|>": 50642,
+  "<|5.58|>": 50643,
+  "<|5.60|>": 50644,
+  "<|5.62|>": 50645,
+  "<|5.64|>": 50646,
+  "<|5.66|>": 50647,
+  "<|5.68|>": 50648,
+  "<|5.70|>": 50649,
+  "<|5.72|>": 50650,
+  "<|5.74|>": 50651,
+  "<|5.76|>": 50652,
+  "<|5.78|>": 50653,
+  "<|5.80|>": 50654,
+  "<|5.82|>": 50655,
+  "<|5.84|>": 50656,
+  "<|5.86|>": 50657,
+  "<|5.88|>": 50658,
+  "<|5.90|>": 50659,
+  "<|5.92|>": 50660,
+  "<|5.94|>": 50661,
+  "<|5.96|>": 50662,
+  "<|5.98|>": 50663,
+  "<|6.00|>": 50664,
+  "<|6.02|>": 50665,
+  "<|6.04|>": 50666,
+  "<|6.06|>": 50667,
+  "<|6.08|>": 50668,
+  "<|6.10|>": 50669,
+  "<|6.12|>": 50670,
+  "<|6.14|>": 50671,
+  "<|6.16|>": 50672,
+  "<|6.18|>": 50673,
+  "<|6.20|>": 50674,
+  "<|6.22|>": 50675,
+  "<|6.24|>": 50676,
+  "<|6.26|>": 50677,
+  "<|6.28|>": 50678,
+  "<|6.30|>": 50679,
+  "<|6.32|>": 50680,
+  "<|6.34|>": 50681,
+  "<|6.36|>": 50682,
+  "<|6.38|>": 50683,
+  "<|6.40|>": 50684,
+  "<|6.42|>": 50685,
+  "<|6.44|>": 50686,
+  "<|6.46|>": 50687,
+  "<|6.48|>": 50688,
+  "<|6.50|>": 50689,
+  "<|6.52|>": 50690,
+  "<|6.54|>": 50691,
+  "<|6.56|>": 50692,
+  "<|6.58|>": 50693,
+  "<|6.60|>": 50694,
+  "<|6.62|>": 50695,
+  "<|6.64|>": 50696,
+  "<|6.66|>": 50697,
+  "<|6.68|>": 50698,
+  "<|6.70|>": 50699,
+  "<|6.72|>": 50700,
+  "<|6.74|>": 50701,
+  "<|6.76|>": 50702,
+  "<|6.78|>": 50703,
+  "<|6.80|>": 50704,
+  "<|6.82|>": 50705,
+  "<|6.84|>": 50706,
+  "<|6.86|>": 50707,
+  "<|6.88|>": 50708,
+  "<|6.90|>": 50709,
+  "<|6.92|>": 50710,
+  "<|6.94|>": 50711,
+  "<|6.96|>": 50712,
+  "<|6.98|>": 50713,
+  "<|7.00|>": 50714,
+  "<|7.02|>": 50715,
+  "<|7.04|>": 50716,
+  "<|7.06|>": 50717,
+  "<|7.08|>": 50718,
+  "<|7.10|>": 50719,
+  "<|7.12|>": 50720,
+  "<|7.14|>": 50721,
+  "<|7.16|>": 50722,
+  "<|7.18|>": 50723,
+  "<|7.20|>": 50724,
+  "<|7.22|>": 50725,
+  "<|7.24|>": 50726,
+  "<|7.26|>": 50727,
+  "<|7.28|>": 50728,
+  "<|7.30|>": 50729,
+  "<|7.32|>": 50730,
+  "<|7.34|>": 50731,
+  "<|7.36|>": 50732,
+  "<|7.38|>": 50733,
+  "<|7.40|>": 50734,
+  "<|7.42|>": 50735,
+  "<|7.44|>": 50736,
+  "<|7.46|>": 50737,
+  "<|7.48|>": 50738,
+  "<|7.50|>": 50739,
+  "<|7.52|>": 50740,
+  "<|7.54|>": 50741,
+  "<|7.56|>": 50742,
+  "<|7.58|>": 50743,
+  "<|7.60|>": 50744,
+  "<|7.62|>": 50745,
+  "<|7.64|>": 50746,
+  "<|7.66|>": 50747,
+  "<|7.68|>": 50748,
+  "<|7.70|>": 50749,
+  "<|7.72|>": 50750,
+  "<|7.74|>": 50751,
+  "<|7.76|>": 50752,
+  "<|7.78|>": 50753,
+  "<|7.80|>": 50754,
+  "<|7.82|>": 50755,
+  "<|7.84|>": 50756,
+  "<|7.86|>": 50757,
+  "<|7.88|>": 50758,
+  "<|7.90|>": 50759,
+  "<|7.92|>": 50760,
+  "<|7.94|>": 50761,
+  "<|7.96|>": 50762,
+  "<|7.98|>": 50763,
+  "<|8.00|>": 50764,
+  "<|8.02|>": 50765,
+  "<|8.04|>": 50766,
+  "<|8.06|>": 50767,
+  "<|8.08|>": 50768,
+  "<|8.10|>": 50769,
+  "<|8.12|>": 50770,
+  "<|8.14|>": 50771,
+  "<|8.16|>": 50772,
+  "<|8.18|>": 50773,
+  "<|8.20|>": 50774,
+  "<|8.22|>": 50775,
+  "<|8.24|>": 50776,
+  "<|8.26|>": 50777,
+  "<|8.28|>": 50778,
+  "<|8.30|>": 50779,
+  "<|8.32|>": 50780,
+  "<|8.34|>": 50781,
+  "<|8.36|>": 50782,
+  "<|8.38|>": 50783,
+  "<|8.40|>": 50784,
+  "<|8.42|>": 50785,
+  "<|8.44|>": 50786,
+  "<|8.46|>": 50787,
+  "<|8.48|>": 50788,
+  "<|8.50|>": 50789,
+  "<|8.52|>": 50790,
+  "<|8.54|>": 50791,
+  "<|8.56|>": 50792,
+  "<|8.58|>": 50793,
+  "<|8.60|>": 50794,
+  "<|8.62|>": 50795,
+  "<|8.64|>": 50796,
+  "<|8.66|>": 50797,
+  "<|8.68|>": 50798,
+  "<|8.70|>": 50799,
+  "<|8.72|>": 50800,
+  "<|8.74|>": 50801,
+  "<|8.76|>": 50802,
+  "<|8.78|>": 50803,
+  "<|8.80|>": 50804,
+  "<|8.82|>": 50805,
+  "<|8.84|>": 50806,
+  "<|8.86|>": 50807,
+  "<|8.88|>": 50808,
+  "<|8.90|>": 50809,
+  "<|8.92|>": 50810,
+  "<|8.94|>": 50811,
+  "<|8.96|>": 50812,
+  "<|8.98|>": 50813,
+  "<|9.00|>": 50814,
+  "<|9.02|>": 50815,
+  "<|9.04|>": 50816,
+  "<|9.06|>": 50817,
+  "<|9.08|>": 50818,
+  "<|9.10|>": 50819,
+  "<|9.12|>": 50820,
+  "<|9.14|>": 50821,
+  "<|9.16|>": 50822,
+  "<|9.18|>": 50823,
+  "<|9.20|>": 50824,
+  "<|9.22|>": 50825,
+  "<|9.24|>": 50826,
+  "<|9.26|>": 50827,
+  "<|9.28|>": 50828,
+  "<|9.30|>": 50829,
+  "<|9.32|>": 50830,
+  "<|9.34|>": 50831,
+  "<|9.36|>": 50832,
+  "<|9.38|>": 50833,
+  "<|9.40|>": 50834,
+  "<|9.42|>": 50835,
+  "<|9.44|>": 50836,
+  "<|9.46|>": 50837,
+  "<|9.48|>": 50838,
+  "<|9.50|>": 50839,
+  "<|9.52|>": 50840,
+  "<|9.54|>": 50841,
+  "<|9.56|>": 50842,
+  "<|9.58|>": 50843,
+  "<|9.60|>": 50844,
+  "<|9.62|>": 50845,
+  "<|9.64|>": 50846,
+  "<|9.66|>": 50847,
+  "<|9.68|>": 50848,
+  "<|9.70|>": 50849,
+  "<|9.72|>": 50850,
+  "<|9.74|>": 50851,
+  "<|9.76|>": 50852,
+  "<|9.78|>": 50853,
+  "<|9.80|>": 50854,
+  "<|9.82|>": 50855,
+  "<|9.84|>": 50856,
+  "<|9.86|>": 50857,
+  "<|9.88|>": 50858,
+  "<|9.90|>": 50859,
+  "<|9.92|>": 50860,
+  "<|9.94|>": 50861,
+  "<|9.96|>": 50862,
+  "<|9.98|>": 50863,
+  "<|af|>": 50327,
+  "<|am|>": 50334,
+  "<|ar|>": 50272,
+  "<|as|>": 50350,
+  "<|az|>": 50304,
+  "<|ba|>": 50355,
+  "<|be|>": 50330,
+  "<|bg|>": 50292,
+  "<|bn|>": 50302,
+  "<|bo|>": 50347,
+  "<|br|>": 50309,
+  "<|bs|>": 50315,
+  "<|ca|>": 50270,
+  "<|cs|>": 50283,
+  "<|cy|>": 50297,
+  "<|da|>": 50285,
+  "<|de|>": 50261,
+  "<|el|>": 50281,
+  "<|en|>": 50259,
+  "<|es|>": 50262,
+  "<|et|>": 50307,
+  "<|eu|>": 50310,
+  "<|fa|>": 50300,
+  "<|fi|>": 50277,
+  "<|fo|>": 50338,
+  "<|fr|>": 50265,
+  "<|gl|>": 50319,
+  "<|gu|>": 50333,
+  "<|haw|>": 50352,
+  "<|ha|>": 50354,
+  "<|he|>": 50279,
+  "<|hi|>": 50276,
+  "<|hr|>": 50291,
+  "<|ht|>": 50339,
+  "<|hu|>": 50286,
+  "<|hy|>": 50312,
+  "<|id|>": 50275,
+  "<|is|>": 50311,
+  "<|it|>": 50274,
+  "<|ja|>": 50266,
+  "<|jw|>": 50356,
+  "<|ka|>": 50329,
+  "<|kk|>": 50316,
+  "<|km|>": 50323,
+  "<|kn|>": 50306,
+  "<|ko|>": 50264,
+  "<|la|>": 50294,
+  "<|lb|>": 50345,
+  "<|ln|>": 50353,
+  "<|lo|>": 50336,
+  "<|lt|>": 50293,
+  "<|lv|>": 50301,
+  "<|mg|>": 50349,
+  "<|mi|>": 50295,
+  "<|mk|>": 50308,
+  "<|ml|>": 50296,
+  "<|mn|>": 50314,
+  "<|mr|>": 50320,
+  "<|ms|>": 50282,
+  "<|mt|>": 50343,
+  "<|my|>": 50346,
+  "<|ne|>": 50313,
+  "<|nl|>": 50271,
+  "<|nn|>": 50342,
+  "<|nocaptions|>": 50362,
+  "<|notimestamps|>": 50363,
+  "<|no|>": 50288,
+  "<|oc|>": 50328,
+  "<|pa|>": 50321,
+  "<|pl|>": 50269,
+  "<|ps|>": 50340,
+  "<|pt|>": 50267,
+  "<|ro|>": 50284,
+  "<|ru|>": 50263,
+  "<|sa|>": 50344,
+  "<|sd|>": 50332,
+  "<|si|>": 50322,
+  "<|sk|>": 50298,
+  "<|sl|>": 50305,
+  "<|sn|>": 50324,
+  "<|so|>": 50326,
+  "<|sq|>": 50317,
+  "<|sr|>": 50303,
+  "<|startoflm|>": 50360,
+  "<|startofprev|>": 50361,
+  "<|startoftranscript|>": 50258,
+  "<|su|>": 50357,
+  "<|sv|>": 50273,
+  "<|sw|>": 50318,
+  "<|ta|>": 50287,
+  "<|te|>": 50299,
+  "<|tg|>": 50331,
+  "<|th|>": 50289,
+  "<|tk|>": 50341,
+  "<|tl|>": 50348,
+  "<|transcribe|>": 50359,
+  "<|translate|>": 50358,
+  "<|tr|>": 50268,
+  "<|tt|>": 50351,
+  "<|uk|>": 50280,
+  "<|ur|>": 50290,
+  "<|uz|>": 50337,
+  "<|vi|>": 50278,
+  "<|yi|>": 50335,
+  "<|yo|>": 50325,
+  "<|zh|>": 50260
+}

normalizer.json

@@ -0,0 +1,1742 @@
+{
+  "accessorise": "accessorize",
+  "accessorised": "accessorized",
+  "accessorises": "accessorizes",
+  "accessorising": "accessorizing",
+  "acclimatisation": "acclimatization",
+  "acclimatise": "acclimatize",
+  "acclimatised": "acclimatized",
+  "acclimatises": "acclimatizes",
+  "acclimatising": "acclimatizing",
+  "accoutrements": "accouterments",
+  "aeon": "eon",
+  "aeons": "eons",
+  "aerogramme": "aerogram",
+  "aerogrammes": "aerograms",
+  "aeroplane": "airplane",
+  "aeroplanes": "airplanes",
+  "aesthete": "esthete",
+  "aesthetes": "esthetes",
+  "aesthetic": "esthetic",
+  "aesthetically": "esthetically",
+  "aesthetics": "esthetics",
+  "aetiology": "etiology",
+  "ageing": "aging",
+  "aggrandisement": "aggrandizement",
+  "agonise": "agonize",
+  "agonised": "agonized",
+  "agonises": "agonizes",
+  "agonising": "agonizing",
+  "agonisingly": "agonizingly",
+  "almanack": "almanac",
+  "almanacks": "almanacs",
+  "aluminium": "aluminum",
+  "amortisable": "amortizable",
+  "amortisation": "amortization",
+  "amortisations": "amortizations",
+  "amortise": "amortize",
+  "amortised": "amortized",
+  "amortises": "amortizes",
+  "amortising": "amortizing",
+  "amphitheatre": "amphitheater",
+  "amphitheatres": "amphitheaters",
+  "anaemia": "anemia",
+  "anaemic": "anemic",
+  "anaesthesia": "anesthesia",
+  "anaesthetic": "anesthetic",
+  "anaesthetics": "anesthetics",
+  "anaesthetise": "anesthetize",
+  "anaesthetised": "anesthetized",
+  "anaesthetises": "anesthetizes",
+  "anaesthetising": "anesthetizing",
+  "anaesthetist": "anesthetist",
+  "anaesthetists": "anesthetists",
+  "anaesthetize": "anesthetize",
+  "anaesthetized": "anesthetized",
+  "anaesthetizes": "anesthetizes",
+  "anaesthetizing": "anesthetizing",
+  "analogue": "analog",
+  "analogues": "analogs",
+  "analyse": "analyze",
+  "analysed": "analyzed",
+  "analyses": "analyzes",
+  "analysing": "analyzing",
+  "anglicise": "anglicize",
+  "anglicised": "anglicized",
+  "anglicises": "anglicizes",
+  "anglicising": "anglicizing",
+  "annualised": "annualized",
+  "antagonise": "antagonize",
+  "antagonised": "antagonized",
+  "antagonises": "antagonizes",
+  "antagonising": "antagonizing",
+  "apologise": "apologize",
+  "apologised": "apologized",
+  "apologises": "apologizes",
+  "apologising": "apologizing",
+  "appal": "appall",
+  "appals": "appalls",
+  "appetiser": "appetizer",
+  "appetisers": "appetizers",
+  "appetising": "appetizing",
+  "appetisingly": "appetizingly",
+  "arbour": "arbor",
+  "arbours": "arbors",
+  "archaeologically": "archeologically",
+  "archaeologist": "archeologist",
+  "archaeologists": "archeologists",
+  "archaeology": "archeology</span>",
+  "archeological": "archaeological",
+  "ardour": "ardor",
+  "armour": "armor",
+  "armoured": "armored",
+  "armourer": "armorer",
+  "armourers": "armorers",
+  "armouries": "armories",
+  "armoury": "armory",
+  "artefact": "artifact",
+  "artefacts": "artifacts",
+  "authorise": "authorize",
+  "authorised": "authorized",
+  "authorises": "authorizes",
+  "authorising": "authorizing",
+  "axe": "ax",
+  "backpedalled": "backpedaled",
+  "backpedalling": "backpedaling",
+  "bannister": "banister",
+  "bannisters": "banisters",
+  "baptise": "baptize",
+  "baptised": "baptized",
+  "baptises": "baptizes",
+  "baptising": "baptizing",
+  "bastardise": "bastardize",
+  "bastardised": "bastardized",
+  "bastardises": "bastardizes",
+  "bastardising": "bastardizing",
+  "battleax": "battleaxe",
+  "baulk": "balk",
+  "baulked": "balked",
+  "baulking": "balking",
+  "baulks": "balks",
+  "bedevilled": "bedeviled",
+  "bedevilling": "bedeviling",
+  "behaviour": "behavior",
+  "behavioural": "behavioral",
+  "behaviourism": "behaviorism",
+  "behaviourist": "behaviorist",
+  "behaviourists": "behaviorists",
+  "behaviours": "behaviors",
+  "behove": "behoove",
+  "behoved": "behooved",
+  "behoves": "behooves",
+  "bejewelled": "bejeweled",
+  "belabour": "belabor",
+  "belaboured": "belabored",
+  "belabouring": "belaboring",
+  "belabours": "belabors",
+  "bevelled": "beveled",
+  "bevvies": "bevies",
+  "bevvy": "bevy",
+  "biassed": "biased",
+  "biassing": "biasing",
+  "bingeing": "binging",
+  "bougainvillaea": "bougainvillea",
+  "bougainvillaeas": "bougainvilleas",
+  "bowdlerise": "bowdlerize",
+  "bowdlerised": "bowdlerized",
+  "bowdlerises": "bowdlerizes",
+  "bowdlerising": "bowdlerizing",
+  "breathalyse": "breathalyze",
+  "breathalysed": "breathalyzed",
+  "breathalyser": "breathalyzer",
+  "breathalysers": "breathalyzers",
+  "breathalyses": "breathalyzes",
+  "breathalysing": "breathalyzing",
+  "brutalise": "brutalize",
+  "brutalised": "brutalized",
+  "brutalises": "brutalizes",
+  "brutalising": "brutalizing",
+  "busses": "buses",
+  "bussing": "busing",
+  "caesarean": "cesarean",
+  "caesareans": "cesareans",
+  "calibre": "caliber",
+  "calibres": "calibers",
+  "calliper": "caliper",
+  "callipers": "calipers",
+  "callisthenics": "calisthenics",
+  "canalise": "canalize",
+  "canalised": "canalized",
+  "canalises": "canalizes",
+  "canalising": "canalizing",
+  "cancelation": "cancellation",
+  "cancelations": "cancellations",
+  "cancelled": "canceled",
+  "cancelling": "canceling",
+  "candour": "candor",
+  "cannibalise": "cannibalize",
+  "cannibalised": "cannibalized",
+  "cannibalises": "cannibalizes",
+  "cannibalising": "cannibalizing",
+  "canonise": "canonize",
+  "canonised": "canonized",
+  "canonises": "canonizes",
+  "canonising": "canonizing",
+  "capitalise": "capitalize",
+  "capitalised": "capitalized",
+  "capitalises": "capitalizes",
+  "capitalising": "capitalizing",
+  "caramelise": "caramelize",
+  "caramelised": "caramelized",
+  "caramelises": "caramelizes",
+  "caramelising": "caramelizing",
+  "carbonise": "carbonize",
+  "carbonised": "carbonized",
+  "carbonises": "carbonizes",
+  "carbonising": "carbonizing",
+  "carolled": "caroled",
+  "carolling": "caroling",
+  "catalogue": "catalog",
+  "catalogued": "cataloged",
+  "catalogues": "catalogs",
+  "cataloguing": "cataloging",
+  "catalyse": "catalyze",
+  "catalysed": "catalyzed",
+  "catalyses": "catalyzes",
+  "catalysing": "catalyzing",
+  "categorise": "categorize",
+  "categorised": "categorized",
+  "categorises": "categorizes",
+  "categorising": "categorizing",
+  "cauterise": "cauterize",
+  "cauterised": "cauterized",
+  "cauterises": "cauterizes",
+  "cauterising": "cauterizing",
+  "cavilled": "caviled",
+  "cavilling": "caviling",
+  "centigramme": "centigram",
+  "centigrammes": "centigrams",
+  "centilitre": "centiliter",
+  "centilitres": "centiliters",
+  "centimetre": "centimeter",
+  "centimetres": "centimeters",
+  "centralise": "centralize",
+  "centralised": "centralized",
+  "centralises": "centralizes",
+  "centralising": "centralizing",
+  "centre": "center",
+  "centred": "centered",
+  "centrefold": "centerfold",
+  "centrefolds": "centerfolds",
+  "centrepiece": "centerpiece",
+  "centrepieces": "centerpieces",
+  "centres": "centers",
+  "channelled": "channeled",
+  "channelling": "channeling",
+  "characterise": "characterize",
+  "characterised": "characterized",
+  "characterises": "characterizes",
+  "characterising": "characterizing",
+  "cheque": "check",
+  "chequebook": "checkbook",
+  "chequebooks": "checkbooks",
+  "chequered": "checkered",
+  "cheques": "checks",
+  "chilli": "chili",
+  "chimaera": "chimera",
+  "chimaeras": "chimeras",
+  "chiselled": "chiseled",
+  "chiselling": "chiseling",
+  "circularise": "circularize",
+  "circularised": "circularized",
+  "circularises": "circularizes",
+  "circularising": "circularizing",
+  "civilise": "civilize",
+  "civilised": "civilized",
+  "civilises": "civilizes",
+  "civilising": "civilizing",
+  "clamour": "clamor",
+  "clamoured": "clamored",
+  "clamouring": "clamoring",
+  "clamours": "clamors",
+  "clangour": "clangor",
+  "clarinettist": "clarinetist",
+  "clarinettists": "clarinetists",
+  "collectivise": "collectivize",
+  "collectivised": "collectivized",
+  "collectivises": "collectivizes",
+  "collectivising": "collectivizing",
+  "colonisation": "colonization",
+  "colonise": "colonize",
+  "colonised": "colonized",
+  "coloniser": "colonizer",
+  "colonisers": "colonizers",
+  "colonises": "colonizes",
+  "colonising": "colonizing",
+  "colour": "color",
+  "colourant": "colorant",
+  "colourants": "colorants",
+  "coloured": "colored",
+  "coloureds": "coloreds",
+  "colourful": "colorful",
+  "colourfully": "colorfully",
+  "colouring": "coloring",
+  "colourize": "colorize",
+  "colourized": "colorized",
+  "colourizes": "colorizes",
+  "colourizing": "colorizing",
+  "colourless": "colorless",
+  "colours": "colors",
+  "commercialise": "commercialize",
+  "commercialised": "commercialized",
+  "commercialises": "commercializes",
+  "commercialising": "commercializing",
+  "compartmentalise": "compartmentalize",
+  "compartmentalised": "compartmentalized",
+  "compartmentalises": "compartmentalizes",
+  "compartmentalising": "compartmentalizing",
+  "computerise": "computerize",
+  "computerised": "computerized",
+  "computerises": "computerizes",
+  "computerising": "computerizing",
+  "conceptualise": "conceptualize",
+  "conceptualised": "conceptualized",
+  "conceptualises": "conceptualizes",
+  "conceptualising": "conceptualizing",
+  "connexion": "connection",
+  "connexions": "connections",
+  "contextualise": "contextualize",
+  "contextualised": "contextualized",
+  "contextualises": "contextualizes",
+  "contextualising": "contextualizing",
+  "cosier": "cozier",
+  "cosies": "cozies",
+  "cosiest": "coziest",
+  "cosily": "cozily",
+  "cosiness": "coziness",
+  "cosy": "cozy",
+  "councillor": "councilor",
+  "councillors": "councilors",
+  "counselled": "counseled",
+  "counselling": "counseling",
+  "counsellor": "counselor",
+  "counsellors": "counselors",
+  "crenelated": "crenellated",
+  "criminalise": "criminalize",
+  "criminalised": "criminalized",
+  "criminalises": "criminalizes",
+  "criminalising": "criminalizing",
+  "criticise": "criticize",
+  "criticised": "criticized",
+  "criticises": "criticizes",
+  "criticising": "criticizing",
+  "crueller": "crueler",
+  "cruellest": "cruelest",
+  "crystallisation": "crystallization",
+  "crystallise": "crystallize",
+  "crystallised": "crystallized",
+  "crystallises": "crystallizes",
+  "crystallising": "crystallizing",
+  "cudgelled": "cudgeled",
+  "cudgelling": "cudgeling",
+  "customise": "customize",
+  "customised": "customized",
+  "customises": "customizes",
+  "customising": "customizing",
+  "cypher": "cipher",
+  "cyphers": "ciphers",
+  "decentralisation": "decentralization",
+  "decentralise": "decentralize",
+  "decentralised": "decentralized",
+  "decentralises": "decentralizes",
+  "decentralising": "decentralizing",
+  "decriminalisation": "decriminalization",
+  "decriminalise": "decriminalize",
+  "decriminalised": "decriminalized",
+  "decriminalises": "decriminalizes",
+  "decriminalising": "decriminalizing",
+  "defence": "defense",
+  "defenceless": "defenseless",
+  "defences": "defenses",
+  "dehumanisation": "dehumanization",
+  "dehumanise": "dehumanize",
+  "dehumanised": "dehumanized",
+  "dehumanises": "dehumanizes",
+  "dehumanising": "dehumanizing",
+  "demeanour": "demeanor",
+  "demilitarisation": "demilitarization",
+  "demilitarise": "demilitarize",
+  "demilitarised": "demilitarized",
+  "demilitarises": "demilitarizes",
+  "demilitarising": "demilitarizing",
+  "demobilisation": "demobilization",
+  "demobilise": "demobilize",
+  "demobilised": "demobilized",
+  "demobilises": "demobilizes",
+  "demobilising": "demobilizing",
+  "democratisation": "democratization",
+  "democratise": "democratize",
+  "democratised": "democratized",
+  "democratises": "democratizes",
+  "democratising": "democratizing",
+  "demonise": "demonize",
+  "demonised": "demonized",
+  "demonises": "demonizes",
+  "demonising": "demonizing",
+  "demoralisation": "demoralization",
+  "demoralise": "demoralize",
+  "demoralised": "demoralized",
+  "demoralises": "demoralizes",
+  "demoralising": "demoralizing",
+  "denationalisation": "denationalization",
+  "denationalise": "denationalize",
+  "denationalised": "denationalized",
+  "denationalises": "denationalizes",
+  "denationalising": "denationalizing",
+  "deodorise": "deodorize",
+  "deodorised": "deodorized",
+  "deodorises": "deodorizes",
+  "deodorising": "deodorizing",
+  "depersonalise": "depersonalize",
+  "depersonalised": "depersonalized",
+  "depersonalises": "depersonalizes",
+  "depersonalising": "depersonalizing",
+  "deputise": "deputize",
+  "deputised": "deputized",
+  "deputises": "deputizes",
+  "deputising": "deputizing",
+  "desensitisation": "desensitization",
+  "desensitise": "desensitize",
+  "desensitised": "desensitized",
+  "desensitises": "desensitizes",
+  "desensitising": "desensitizing",
+  "destabilisation": "destabilization",
+  "destabilise": "destabilize",
+  "destabilised": "destabilized",
+  "destabilises": "destabilizes",
+  "destabilising": "destabilizing",
+  "dialled": "dialed",
+  "dialling": "dialing",
+  "dialogue": "dialog",
+  "dialogues": "dialogs",
+  "diarrhoea": "diarrhea",
+  "digitise": "digitize",
+  "digitised": "digitized",
+  "digitises": "digitizes",
+  "digitising": "digitizing",
+  "disc": "disk",
+  "discolour": "discolor",
+  "discoloured": "discolored",
+  "discolouring": "discoloring",
+  "discolours": "discolors",
+  "discs": "disks",
+  "disembowelled": "disemboweled",
+  "disembowelling": "disemboweling",
+  "disfavour": "disfavor",
+  "dishevelled": "disheveled",
+  "dishonour": "dishonor",
+  "dishonourable": "dishonorable",
+  "dishonourably": "dishonorably",
+  "dishonoured": "dishonored",
+  "dishonouring": "dishonoring",
+  "dishonours": "dishonors",
+  "disorganisation": "disorganization",
+  "disorganised": "disorganized",
+  "distil": "distill",
+  "distils": "distills",
+  "dramatisation": "dramatization",
+  "dramatisations": "dramatizations",
+  "dramatise": "dramatize",
+  "dramatised": "dramatized",
+  "dramatises": "dramatizes",
+  "dramatising": "dramatizing",
+  "draught": "draft",
+  "draughtboard": "draftboard",
+  "draughtboards": "draftboards",
+  "draughtier": "draftier",
+  "draughtiest": "draftiest",
+  "draughts": "drafts",
+  "draughtsman": "draftsman",
+  "draughtsmanship": "draftsmanship",
+  "draughtsmen": "draftsmen",
+  "draughtswoman": "draftswoman",
+  "draughtswomen": "draftswomen",
+  "draughty": "drafty",
+  "drivelled": "driveled",
+  "drivelling": "driveling",
+  "duelled": "dueled",
+  "duelling": "dueling",
+  "economise": "economize",
+  "economised": "economized",
+  "economises": "economizes",
+  "economising": "economizing",
+  "editorialise": "editorialize",
+  "editorialised": "editorialized",
+  "editorialises": "editorializes",
+  "editorialising": "editorializing",
+  "edoema": "edema",
+  "empathise": "empathize",
+  "empathised": "empathized",
+  "empathises": "empathizes",
+  "empathising": "empathizing",
+  "emphasise": "emphasize",
+  "emphasised": "emphasized",
+  "emphasises": "emphasizes",
+  "emphasising": "emphasizing",
+  "enamelled": "enameled",
+  "enamelling": "enameling",
+  "enamoured": "enamored",
+  "encyclopaedia": "encyclopedia",
+  "encyclopaedias": "encyclopedias",
+  "encyclopaedic": "encyclopedic",
+  "endeavour": "endeavor",
+  "endeavoured": "endeavored",
+  "endeavouring": "endeavoring",
+  "endeavours": "endeavors",
+  "energise": "energize",
+  "energised": "energized",
+  "energises": "energizes",
+  "energising": "energizing",
+  "enrol": "enroll",
+  "enrols": "enrolls",
+  "enthral": "enthrall",
+  "enthrals": "enthralls",
+  "epaulette": "epaulet",
+  "epaulettes": "epaulets",
+  "epicentre": "epicenter",
+  "epicentres": "epicenters",
+  "epilogue": "epilog",
+  "epilogues": "epilogs",
+  "epitomise": "epitomize",
+  "epitomised": "epitomized",
+  "epitomises": "epitomizes",
+  "epitomising": "epitomizing",
+  "equalisation": "equalization",
+  "equalise": "equalize",
+  "equalised": "equalized",
+  "equaliser": "equalizer",
+  "equalisers": "equalizers",
+  "equalises": "equalizes",
+  "equalising": "equalizing",
+  "eulogise": "eulogize",
+  "eulogised": "eulogized",
+  "eulogises": "eulogizes",
+  "eulogising": "eulogizing",
+  "evangelise": "evangelize",
+  "evangelised": "evangelized",
+  "evangelises": "evangelizes",
+  "evangelising": "evangelizing",
+  "exorcise": "exorcize",
+  "exorcised": "exorcized",
+  "exorcises": "exorcizes",
+  "exorcising": "exorcizing",
+  "extemporisation": "extemporization",
+  "extemporise": "extemporize",
+  "extemporised": "extemporized",
+  "extemporises": "extemporizes",
+  "extemporising": "extemporizing",
+  "externalisation": "externalization",
+  "externalisations": "externalizations",
+  "externalise": "externalize",
+  "externalised": "externalized",
+  "externalises": "externalizes",
+  "externalising": "externalizing",
+  "factorise": "factorize",
+  "factorised": "factorized",
+  "factorises": "factorizes",
+  "factorising": "factorizing",
+  "faecal": "fecal",
+  "faeces": "feces",
+  "familiarisation": "familiarization",
+  "familiarise": "familiarize",
+  "familiarised": "familiarized",
+  "familiarises": "familiarizes",
+  "familiarising": "familiarizing",
+  "fantasise": "fantasize",
+  "fantasised": "fantasized",
+  "fantasises": "fantasizes",
+  "fantasising": "fantasizing",
+  "favour": "favor",
+  "favourable": "favorable",
+  "favourably": "favorably",
+  "favoured": "favored",
+  "favouring": "favoring",
+  "favourite": "favorite",
+  "favourites": "favorites",
+  "favouritism": "favoritism",
+  "favours": "favors",
+  "feminise": "feminize",
+  "feminised": "feminized",
+  "feminises": "feminizes",
+  "feminising": "feminizing",
+  "fertilisation": "fertilization",
+  "fertilise": "fertilize",
+  "fertilised": "fertilized",
+  "fertiliser": "fertilizer",
+  "fertilisers": "fertilizers",
+  "fertilises": "fertilizes",
+  "fertilising": "fertilizing",
+  "fervour": "fervor",
+  "fibre": "fiber",
+  "fibreglass": "fiberglass",
+  "fibres": "fibers",
+  "fictionalisation": "fictionalization",
+  "fictionalisations": "fictionalizations",
+  "fictionalise": "fictionalize",
+  "fictionalised": "fictionalized",
+  "fictionalises": "fictionalizes",
+  "fictionalising": "fictionalizing",
+  "fillet": "filet",
+  "filleted": "fileted",
+  "filleting": "fileting",
+  "fillets": "filets",
+  "finalisation": "finalization",
+  "finalise": "finalize",
+  "finalised": "finalized",
+  "finalises": "finalizes",
+  "finalising": "finalizing",
+  "flautist": "flutist",
+  "flautists": "flutists",
+  "flavour": "flavor",
+  "flavoured": "flavored",
+  "flavouring": "flavoring",
+  "flavourings": "flavorings",
+  "flavourless": "flavorless",
+  "flavours": "flavors",
+  "flavoursome": "flavorsome",
+  "flyer / flier": "flier / flyer",
+  "foetal": "fetal",
+  "foetid": "fetid",
+  "foetus": "fetus",
+  "foetuses": "fetuses",
+  "formalisation": "formalization",
+  "formalise": "formalize",
+  "formalised": "formalized",
+  "formalises": "formalizes",
+  "formalising": "formalizing",
+  "fossilisation": "fossilization",
+  "fossilise": "fossilize",
+  "fossilised": "fossilized",
+  "fossilises": "fossilizes",
+  "fossilising": "fossilizing",
+  "fraternisation": "fraternization",
+  "fraternise": "fraternize",
+  "fraternised": "fraternized",
+  "fraternises": "fraternizes",
+  "fraternising": "fraternizing",
+  "fulfil": "fulfill",
+  "fulfilment": "fulfillment",
+  "fulfils": "fulfills",
+  "funnelled": "funneled",
+  "funnelling": "funneling",
+  "gage": "gauge",
+  "gaged": "gauged",
+  "gages": "gauges",
+  "gaging": "gauging",
+  "galvanise": "galvanize",
+  "galvanised": "galvanized",
+  "galvanises": "galvanizes",
+  "galvanising": "galvanizing",
+  "gambolled": "gamboled",
+  "gambolling": "gamboling",
+  "gaol": "jail",
+  "gaolbird": "jailbird",
+  "gaolbirds": "jailbirds",
+  "gaolbreak": "jailbreak",
+  "gaolbreaks": "jailbreaks",
+  "gaoled": "jailed",
+  "gaoler": "jailer",
+  "gaolers": "jailers",
+  "gaoling": "jailing",
+  "gaols": "jails",
+  "gasses": "gases",
+  "generalisation": "generalization",
+  "generalisations": "generalizations",
+  "generalise": "generalize",
+  "generalised": "generalized",
+  "generalises": "generalizes",
+  "generalising": "generalizing",
+  "ghettoise": "ghettoize",
+  "ghettoised": "ghettoized",
+  "ghettoises": "ghettoizes",
+  "ghettoising": "ghettoizing",
+  "gipsies": "gypsies",
+  "glamor": "glamour",
+  "glamorise": "glamorize",
+  "glamorised": "glamorized",
+  "glamorises": "glamorizes",
+  "glamorising": "glamorizing",
+  "globalisation": "globalization",
+  "globalise": "globalize",
+  "globalised": "globalized",
+  "globalises": "globalizes",
+  "globalising": "globalizing",
+  "glueing": "gluing",
+  "goitre": "goiter",
+  "goitres": "goiters",
+  "gonorrhoea": "gonorrhea",
+  "gramme": "gram",
+  "grammes": "grams",
+  "gravelled": "graveled",
+  "grey": "gray",
+  "greyed": "grayed",
+  "greying": "graying",
+  "greyish": "grayish",
+  "greyness": "grayness",
+  "greys": "grays",
+  "grovelled": "groveled",
+  "grovelling": "groveling",
+  "groyne": "groin",
+  "groynes": "groins",
+  "gruelling": "grueling",
+  "gruellingly": "gruelingly",
+  "gryphon": "griffin",
+  "gryphons": "griffins",
+  "gynaecological": "gynecological",
+  "gynaecologist": "gynecologist",
+  "gynaecologists": "gynecologists",
+  "gynaecology": "gynecology",
+  "haematological": "hematological",
+  "haematologist": "hematologist",
+  "haematologists": "hematologists",
+  "haematology": "hematology",
+  "haemoglobin": "hemoglobin",
+  "haemophilia": "hemophilia",
+  "haemophiliac": "hemophiliac",
+  "haemophiliacs": "hemophiliacs",
+  "haemorrhage": "hemorrhage",
+  "haemorrhaged": "hemorrhaged",
+  "haemorrhages": "hemorrhages",
+  "haemorrhaging": "hemorrhaging",
+  "haemorrhoids": "hemorrhoids",
+  "harbour": "harbor",
+  "harboured": "harbored",
+  "harbouring": "harboring",
+  "harbours": "harbors",
+  "harmonisation": "harmonization",
+  "harmonise": "harmonize",
+  "harmonised": "harmonized",
+  "harmonises": "harmonizes",
+  "harmonising": "harmonizing",
+  "homoeopath": "homeopath",
+  "homoeopathic": "homeopathic",
+  "homoeopaths": "homeopaths",
+  "homoeopathy": "homeopathy",
+  "homogenise": "homogenize",
+  "homogenised": "homogenized",
+  "homogenises": "homogenizes",
+  "homogenising": "homogenizing",
+  "honour": "honor",
+  "honourable": "honorable",
+  "honourably": "honorably",
+  "honoured": "honored",
+  "honouring": "honoring",
+  "honours": "honors",
+  "hospitalisation": "hospitalization",
+  "hospitalise": "hospitalize",
+  "hospitalised": "hospitalized",
+  "hospitalises": "hospitalizes",
+  "hospitalising": "hospitalizing",
+  "humanise": "humanize",
+  "humanised": "humanized",
+  "humanises": "humanizes",
+  "humanising": "humanizing",
+  "humour": "humor",
+  "humoured": "humored",
+  "humouring": "humoring",
+  "humourless": "humorless",
+  "humours": "humors",
+  "hybridise": "hybridize",
+  "hybridised": "hybridized",
+  "hybridises": "hybridizes",
+  "hybridising": "hybridizing",
+  "hypnotise": "hypnotize",
+  "hypnotised": "hypnotized",
+  "hypnotises": "hypnotizes",
+  "hypnotising": "hypnotizing",
+  "hypothesise": "hypothesize",
+  "hypothesised": "hypothesized",
+  "hypothesises": "hypothesizes",
+  "hypothesising": "hypothesizing",
+  "idealisation": "idealization",
+  "idealise": "idealize",
+  "idealised": "idealized",
+  "idealises": "idealizes",
+  "idealising": "idealizing",
+  "idolise": "idolize",
+  "idolised": "idolized",
+  "idolises": "idolizes",
+  "idolising": "idolizing",
+  "immobilisation": "immobilization",
+  "immobilise": "immobilize",
+  "immobilised": "immobilized",
+  "immobiliser": "immobilizer",
+  "immobilisers": "immobilizers",
+  "immobilises": "immobilizes",
+  "immobilising": "immobilizing",
+  "immortalise": "immortalize",
+  "immortalised": "immortalized",
+  "immortalises": "immortalizes",
+  "immortalising": "immortalizing",
+  "immunisation": "immunization",
+  "immunise": "immunize",
+  "immunised": "immunized",
+  "immunises": "immunizes",
+  "immunising": "immunizing",
+  "impanelled": "impaneled",
+  "impanelling": "impaneling",
+  "imperilled": "imperiled",
+  "imperilling": "imperiling",
+  "individualise": "individualize",
+  "individualised": "individualized",
+  "individualises": "individualizes",
+  "individualising": "individualizing",
+  "industrialise": "industrialize",
+  "industrialised": "industrialized",
+  "industrialises": "industrializes",
+  "industrialising": "industrializing",
+  "inflexion": "inflection",
+  "inflexions": "inflections",
+  "initialise": "initialize",
+  "initialised": "initialized",
+  "initialises": "initializes",
+  "initialising": "initializing",
+  "initialled": "initialed",
+  "initialling": "initialing",
+  "instal": "install",
+  "instalment": "installment",
+  "instalments": "installments",
+  "instals": "installs",
+  "instil": "instill",
+  "instils": "instills",
+  "institutionalisation": "institutionalization",
+  "institutionalise": "institutionalize",
+  "institutionalised": "institutionalized",
+  "institutionalises": "institutionalizes",
+  "institutionalising": "institutionalizing",
+  "intellectualise": "intellectualize",
+  "intellectualised": "intellectualized",
+  "intellectualises": "intellectualizes",
+  "intellectualising": "intellectualizing",
+  "internalisation": "internalization",
+  "internalise": "internalize",
+  "internalised": "internalized",
+  "internalises": "internalizes",
+  "internalising": "internalizing",
+  "internationalisation": "internationalization",
+  "internationalise": "internationalize",
+  "internationalised": "internationalized",
+  "internationalises": "internationalizes",
+  "internationalising": "internationalizing",
+  "ionisation": "ionization",
+  "ionise": "ionize",
+  "ionised": "ionized",
+  "ioniser": "ionizer",
+  "ionisers": "ionizers",
+  "ionises": "ionizes",
+  "ionising": "ionizing",
+  "italicise": "italicize",
+  "italicised": "italicized",
+  "italicises": "italicizes",
+  "italicising": "italicizing",
+  "itemise": "itemize",
+  "itemised": "itemized",
+  "itemises": "itemizes",
+  "itemising": "itemizing",
+  "jeopardise": "jeopardize",
+  "jeopardised": "jeopardized",
+  "jeopardises": "jeopardizes",
+  "jeopardising": "jeopardizing",
+  "jewelled": "jeweled",
+  "jeweller": "jeweler",
+  "jewellers": "jewelers",
+  "jewellery": "jewelry",
+  "judgement": "judgment",
+  "kilogramme": "kilogram",
+  "kilogrammes": "kilograms",
+  "kilometre": "kilometer",
+  "kilometres": "kilometers",
+  "labelled": "labeled",
+  "labelling": "labeling",
+  "labour": "labor",
+  "laboured": "labored",
+  "labourer": "laborer",
+  "labourers": "laborers",
+  "labouring": "laboring",
+  "labours": "labors",
+  "lacklustre": "lackluster",
+  "legalisation": "legalization",
+  "legalise": "legalize",
+  "legalised": "legalized",
+  "legalises": "legalizes",
+  "legalising": "legalizing",
+  "legitimise": "legitimize",
+  "legitimised": "legitimized",
+  "legitimises": "legitimizes",
+  "legitimising": "legitimizing",
+  "leukaemia": "leukemia",
+  "levelled": "leveled",
+  "leveller": "leveler",
+  "levellers": "levelers",
+  "levelling": "leveling",
+  "libelled": "libeled",
+  "libelling": "libeling",
+  "libellous": "libelous",
+  "liberalisation": "liberalization",
+  "liberalise": "liberalize",
+  "liberalised": "liberalized",
+  "liberalises": "liberalizes",
+  "liberalising": "liberalizing",
+  "licence": "license",
+  "licenced": "licensed",
+  "licences": "licenses",
+  "licencing": "licensing",
+  "likeable": "likable",
+  "lionisation": "lionization",
+  "lionise": "lionize",
+  "lionised": "lionized",
+  "lionises": "lionizes",
+  "lionising": "lionizing",
+  "liquidise": "liquidize",
+  "liquidised": "liquidized",
+  "liquidiser": "liquidizer",
+  "liquidisers": "liquidizers",
+  "liquidises": "liquidizes",
+  "liquidising": "liquidizing",
+  "litre": "liter",
+  "litres": "liters",
+  "localise": "localize",
+  "localised": "localized",
+  "localises": "localizes",
+  "localising": "localizing",
+  "louvre": "louver",
+  "louvred": "louvered",
+  "louvres": "louvers",
+  "lustre": "luster",
+  "magnetise": "magnetize",
+  "magnetised": "magnetized",
+  "magnetises": "magnetizes",
+  "magnetising": "magnetizing",
+  "manoeuvrability": "maneuverability",
+  "manoeuvrable": "maneuverable",
+  "manoeuvre": "maneuver",
+  "manoeuvred": "maneuvered",
+  "manoeuvres": "maneuvers",
+  "manoeuvring": "maneuvering",
+  "manoeuvrings": "maneuverings",
+  "marginalisation": "marginalization",
+  "marginalise": "marginalize",
+  "marginalised": "marginalized",
+  "marginalises": "marginalizes",
+  "marginalising": "marginalizing",
+  "marshalled": "marshaled",
+  "marshalling": "marshaling",
+  "marvelled": "marveled",
+  "marvelling": "marveling",
+  "marvellous": "marvelous",
+  "marvellously": "marvelously",
+  "materialisation": "materialization",
+  "materialise": "materialize",
+  "materialised": "materialized",
+  "materialises": "materializes",
+  "materialising": "materializing",
+  "maximisation": "maximization",
+  "maximise": "maximize",
+  "maximised": "maximized",
+  "maximises": "maximizes",
+  "maximising": "maximizing",
+  "meagre": "meager",
+  "mechanisation": "mechanization",
+  "mechanise": "mechanize",
+  "mechanised": "mechanized",
+  "mechanises": "mechanizes",
+  "mechanising": "mechanizing",
+  "mediaeval": "medieval",
+  "memorialise": "memorialize",
+  "memorialised": "memorialized",
+  "memorialises": "memorializes",
+  "memorialising": "memorializing",
+  "memorise": "memorize",
+  "memorised": "memorized",
+  "memorises": "memorizes",
+  "memorising": "memorizing",
+  "mesmerise": "mesmerize",
+  "mesmerised": "mesmerized",
+  "mesmerises": "mesmerizes",
+  "mesmerising": "mesmerizing",
+  "metabolise": "metabolize",
+  "metabolised": "metabolized",
+  "metabolises": "metabolizes",
+  "metabolising": "metabolizing",
+  "metre": "meter",
+  "metres": "meters",
+  "mhm": "hmm",
+  "micrometre": "micrometer",
+  "micrometres": "micrometers",
+  "militarise": "militarize",
+  "militarised": "militarized",
+  "militarises": "militarizes",
+  "militarising": "militarizing",
+  "milligramme": "milligram",
+  "milligrammes": "milligrams",
+  "millilitre": "milliliter",
+  "millilitres": "milliliters",
+  "millimetre": "millimeter",
+  "millimetres": "millimeters",
+  "miniaturisation": "miniaturization",
+  "miniaturise": "miniaturize",
+  "miniaturised": "miniaturized",
+  "miniaturises": "miniaturizes",
+  "miniaturising": "miniaturizing",
+  "minibusses": "minibuses",
+  "minimise": "minimize",
+  "minimised": "minimized",
+  "minimises": "minimizes",
+  "minimising": "minimizing",
+  "misbehaviour": "misbehavior",
+  "misdemeanour": "misdemeanor",
+  "misdemeanours": "misdemeanors",
+  "misspelt": "misspelled",
+  "mitre": "miter",
+  "mitres": "miters",
+  "mm": "hmm",
+  "mmm": "hmm",
+  "mobilisation": "mobilization",
+  "mobilise": "mobilize",
+  "mobilised": "mobilized",
+  "mobilises": "mobilizes",
+  "mobilising": "mobilizing",
+  "modelled": "modeled",
+  "modeller": "modeler",
+  "modellers": "modelers",
+  "modelling": "modeling",
+  "modernise": "modernize",
+  "modernised": "modernized",
+  "modernises": "modernizes",
+  "modernising": "modernizing",
+  "moisturise": "moisturize",
+  "moisturised": "moisturized",
+  "moisturiser": "moisturizer",
+  "moisturisers": "moisturizers",
+  "moisturises": "moisturizes",
+  "moisturising": "moisturizing",
+  "monologue": "monolog",
+  "monologues": "monologs",
+  "monopolisation": "monopolization",
+  "monopolise": "monopolize",
+  "monopolised": "monopolized",
+  "monopolises": "monopolizes",
+  "monopolising": "monopolizing",
+  "moralise": "moralize",
+  "moralised": "moralized",
+  "moralises": "moralizes",
+  "moralising": "moralizing",
+  "motorised": "motorized",
+  "mould": "mold",
+  "moulded": "molded",
+  "moulder": "molder",
+  "mouldered": "moldered",
+  "mouldering": "moldering",
+  "moulders": "molders",
+  "mouldier": "moldier",
+  "mouldiest": "moldiest",
+  "moulding": "molding",
+  "mouldings": "moldings",
+  "moulds": "molds",
+  "mouldy": "moldy",
+  "moult": "molt",
+  "moulted": "molted",
+  "moulting": "molting",
+  "moults": "molts",
+  "moustache": "mustache",
+  "moustached": "mustached",
+  "moustaches": "mustaches",
+  "moustachioed": "mustachioed",
+  "multicoloured": "multicolored",
+  "nationalisation": "nationalization",
+  "nationalisations": "nationalizations",
+  "nationalise": "nationalize",
+  "nationalised": "nationalized",
+  "nationalises": "nationalizes",
+  "nationalising": "nationalizing",
+  "naturalisation": "naturalization",
+  "naturalise": "naturalize",
+  "naturalised": "naturalized",
+  "naturalises": "naturalizes",
+  "naturalising": "naturalizing",
+  "neighbour": "neighbor",
+  "neighbourhood": "neighborhood",
+  "neighbourhoods": "neighborhoods",
+  "neighbouring": "neighboring",
+  "neighbourliness": "neighborliness",
+  "neighbourly": "neighborly",
+  "neighbours": "neighbors",
+  "neutralisation": "neutralization",
+  "neutralise": "neutralize",
+  "neutralised": "neutralized",
+  "neutralises": "neutralizes",
+  "neutralising": "neutralizing",
+  "normalisation": "normalization",
+  "normalise": "normalize",
+  "normalised": "normalized",
+  "normalises": "normalizes",
+  "normalising": "normalizing",
+  "odour": "odor",
+  "odourless": "odorless",
+  "odours": "odors",
+  "oesophagus": "esophagus",
+  "oesophaguses": "esophaguses",
+  "oestrogen": "estrogen",
+  "offence": "offense",
+  "offences": "offenses",
+  "omelette": "omelet",
+  "omelettes": "omelets",
+  "optimise": "optimize",
+  "optimised": "optimized",
+  "optimises": "optimizes",
+  "optimising": "optimizing",
+  "organisation": "organization",
+  "organisational": "organizational",
+  "organisations": "organizations",
+  "organise": "organize",
+  "organised": "organized",
+  "organiser": "organizer",
+  "organisers": "organizers",
+  "organises": "organizes",
+  "organising": "organizing",
+  "orthopaedic": "orthopedic",
+  "orthopaedics": "orthopedics",
+  "ostracise": "ostracize",
+  "ostracised": "ostracized",
+  "ostracises": "ostracizes",
+  "ostracising": "ostracizing",
+  "outmanoeuvre": "outmaneuver",
+  "outmanoeuvred": "outmaneuvered",
+  "outmanoeuvres": "outmaneuvers",
+  "outmanoeuvring": "outmaneuvering",
+  "overemphasise": "overemphasize",
+  "overemphasised": "overemphasized",
+  "overemphasises": "overemphasizes",
+  "overemphasising": "overemphasizing",
+  "oxidisation": "oxidization",
+  "oxidise": "oxidize",
+  "oxidised": "oxidized",
+  "oxidises": "oxidizes",
+  "oxidising": "oxidizing",
+  "paederast": "pederast",
+  "paederasts": "pederasts",
+  "paediatric": "pediatric",
+  "paediatrician": "pediatrician",
+  "paediatricians": "pediatricians",
+  "paediatrics": "pediatrics",
+  "paedophile": "pedophile",
+  "paedophiles": "pedophiles",
+  "paedophilia": "pedophilia",
+  "palaeolithic": "paleolithic",
+  "palaeontologist": "paleontologist",
+  "palaeontologists": "paleontologists",
+  "palaeontology": "paleontology",
+  "panelled": "paneled",
+  "panelling": "paneling",
+  "panellist": "panelist",
+  "panellists": "panelists",
+  "paralyse": "paralyze",
+  "paralysed": "paralyzed",
+  "paralyses": "paralyzes",
+  "paralysing": "paralyzing",
+  "parcelled": "parceled",
+  "parcelling": "parceling",
+  "parlour": "parlor",
+  "parlours": "parlors",
+  "particularise": "particularize",
+  "particularised": "particularized",
+  "particularises": "particularizes",
+  "particularising": "particularizing",
+  "passivisation": "passivization",
+  "passivise": "passivize",
+  "passivised": "passivized",
+  "passivises": "passivizes",
+  "passivising": "passivizing",
+  "pasteurisation": "pasteurization",
+  "pasteurise": "pasteurize",
+  "pasteurised": "pasteurized",
+  "pasteurises": "pasteurizes",
+  "pasteurising": "pasteurizing",
+  "patronise": "patronize",
+  "patronised": "patronized",
+  "patronises": "patronizes",
+  "patronising": "patronizing",
+  "patronisingly": "patronizingly",
+  "pedalled": "pedaled",
+  "pedalling": "pedaling",
+  "pedestrianisation": "pedestrianization",
+  "pedestrianise": "pedestrianize",
+  "pedestrianised": "pedestrianized",
+  "pedestrianises": "pedestrianizes",
+  "pedestrianising": "pedestrianizing",
+  "penalise": "penalize",
+  "penalised": "penalized",
+  "penalises": "penalizes",
+  "penalising": "penalizing",
+  "pencilled": "penciled",
+  "pencilling": "penciling",
+  "personalise": "personalize",
+  "personalised": "personalized",
+  "personalises": "personalizes",
+  "personalising": "personalizing",
+  "pharmacopoeia": "pharmacopeia",
+  "pharmacopoeias": "pharmacopeias",
+  "philosophise": "philosophize",
+  "philosophised": "philosophized",
+  "philosophises": "philosophizes",
+  "philosophising": "philosophizing",
+  "philtre": "filter",
+  "philtres": "filters",
+  "phoney": "phony",
+  "plagiarise": "plagiarize",
+  "plagiarised": "plagiarized",
+  "plagiarises": "plagiarizes",
+  "plagiarising": "plagiarizing",
+  "plough": "plow",
+  "ploughed": "plowed",
+  "ploughing": "plowing",
+  "ploughman": "plowman",
+  "ploughmen": "plowmen",
+  "ploughs": "plows",
+  "ploughshare": "plowshare",
+  "ploughshares": "plowshares",
+  "polarisation": "polarization",
+  "polarise": "polarize",
+  "polarised": "polarized",
+  "polarises": "polarizes",
+  "polarising": "polarizing",
+  "politicisation": "politicization",
+  "politicise": "politicize",
+  "politicised": "politicized",
+  "politicises": "politicizes",
+  "politicising": "politicizing",
+  "popularisation": "popularization",
+  "popularise": "popularize",
+  "popularised": "popularized",
+  "popularises": "popularizes",
+  "popularising": "popularizing",
+  "pouffe": "pouf",
+  "pouffes": "poufs",
+  "practise": "practice",
+  "practised": "practiced",
+  "practises": "practices",
+  "practising": "practicing",
+  "praesidium": "presidium",
+  "praesidiums": "presidiums",
+  "pressurisation": "pressurization",
+  "pressurise": "pressurize",
+  "pressurised": "pressurized",
+  "pressurises": "pressurizes",
+  "pressurising": "pressurizing",
+  "pretence": "pretense",
+  "pretences": "pretenses",
+  "primaeval": "primeval",
+  "prioritisation": "prioritization",
+  "prioritise": "prioritize",
+  "prioritised": "prioritized",
+  "prioritises": "prioritizes",
+  "prioritising": "prioritizing",
+  "privatisation": "privatization",
+  "privatisations": "privatizations",
+  "privatise": "privatize",
+  "privatised": "privatized",
+  "privatises": "privatizes",
+  "privatising": "privatizing",
+  "professionalisation": "professionalization",
+  "professionalise": "professionalize",
+  "professionalised": "professionalized",
+  "professionalises": "professionalizes",
+  "professionalising": "professionalizing",
+  "programme": "program",
+  "programmes": "programs",
+  "prologue": "prolog",
+  "prologues": "prologs",
+  "propagandise": "propagandize",
+  "propagandised": "propagandized",
+  "propagandises": "propagandizes",
+  "propagandising": "propagandizing",
+  "proselytise": "proselytize",
+  "proselytised": "proselytized",
+  "proselytiser": "proselytizer",
+  "proselytisers": "proselytizers",
+  "proselytises": "proselytizes",
+  "proselytising": "proselytizing",
+  "psychoanalyse": "psychoanalyze",
+  "psychoanalysed": "psychoanalyzed",
+  "psychoanalyses": "psychoanalyzes",
+  "psychoanalysing": "psychoanalyzing",
+  "publicise": "publicize",
+  "publicised": "publicized",
+  "publicises": "publicizes",
+  "publicising": "publicizing",
+  "pulverisation": "pulverization",
+  "pulverise": "pulverize",
+  "pulverised": "pulverized",
+  "pulverises": "pulverizes",
+  "pulverising": "pulverizing",
+  "pummelled": "pummel",
+  "pummelling": "pummeled",
+  "pyjama": "pajama",
+  "pyjamas": "pajamas",
+  "pzazz": "pizzazz",
+  "quarrelled": "quarreled",
+  "quarrelling": "quarreling",
+  "radicalise": "radicalize",
+  "radicalised": "radicalized",
+  "radicalises": "radicalizes",
+  "radicalising": "radicalizing",
+  "rancour": "rancor",
+  "randomise": "randomize",
+  "randomised": "randomized",
+  "randomises": "randomizes",
+  "randomising": "randomizing",
+  "rationalisation": "rationalization",
+  "rationalisations": "rationalizations",
+  "rationalise": "rationalize",
+  "rationalised": "rationalized",
+  "rationalises": "rationalizes",
+  "rationalising": "rationalizing",
+  "ravelled": "raveled",
+  "ravelling": "raveling",
+  "realisable": "realizable",
+  "realisation": "realization",
+  "realisations": "realizations",
+  "realise": "realize",
+  "realised": "realized",
+  "realises": "realizes",
+  "realising": "realizing",
+  "recognisable": "recognizable",
+  "recognisably": "recognizably",
+  "recognisance": "recognizance",
+  "recognise": "recognize",
+  "recognised": "recognized",
+  "recognises": "recognizes",
+  "recognising": "recognizing",
+  "reconnoitre": "reconnoiter",
+  "reconnoitred": "reconnoitered",
+  "reconnoitres": "reconnoiters",
+  "reconnoitring": "reconnoitering",
+  "refuelled": "refueled",
+  "refuelling": "refueling",
+  "regularisation": "regularization",
+  "regularise": "regularize",
+  "regularised": "regularized",
+  "regularises": "regularizes",
+  "regularising": "regularizing",
+  "remodelled": "remodeled",
+  "remodelling": "remodeling",
+  "remould": "remold",
+  "remoulded": "remolded",
+  "remoulding": "remolding",
+  "remoulds": "remolds",
+  "reorganisation": "reorganization",
+  "reorganisations": "reorganizations",
+  "reorganise": "reorganize",
+  "reorganised": "reorganized",
+  "reorganises": "reorganizes",
+  "reorganising": "reorganizing",
+  "revelled": "reveled",
+  "reveller": "reveler",
+  "revellers": "revelers",
+  "revelling": "reveling",
+  "revitalise": "revitalize",
+  "revitalised": "revitalized",
+  "revitalises": "revitalizes",
+  "revitalising": "revitalizing",
+  "revolutionise": "revolutionize",
+  "revolutionised": "revolutionized",
+  "revolutionises": "revolutionizes",
+  "revolutionising": "revolutionizing",
+  "rhapsodise": "rhapsodize",
+  "rhapsodised": "rhapsodized",
+  "rhapsodises": "rhapsodizes",
+  "rhapsodising": "rhapsodizing",
+  "rigour": "rigor",
+  "rigours": "rigors",
+  "ritualised": "ritualized",
+  "rivalled": "rivaled",
+  "rivalling": "rivaling",
+  "romanticise": "romanticize",
+  "romanticised": "romanticized",
+  "romanticises": "romanticizes",
+  "romanticising": "romanticizing",
+  "rumour": "rumor",
+  "rumoured": "rumored",
+  "rumours": "rumors",
+  "sabre": "saber",
+  "sabres": "sabers",
+  "saltpetre": "saltpeter",
+  "sanitise": "sanitize",
+  "sanitised": "sanitized",
+  "sanitises": "sanitizes",
+  "sanitising": "sanitizing",
+  "satirise": "satirize",
+  "satirised": "satirized",
+  "satirises": "satirizes",
+  "satirising": "satirizing",
+  "saviour": "savior",
+  "saviours": "saviors",
+  "savour": "savor",
+  "savoured": "savored",
+  "savouries": "savories",
+  "savouring": "savoring",
+  "savours": "savors",
+  "savoury": "savory",
+  "scandalise": "scandalize",
+  "scandalised": "scandalized",
+  "scandalises": "scandalizes",
+  "scandalising": "scandalizing",
+  "sceptic": "skeptic",
+  "sceptical": "skeptical",
+  "sceptically": "skeptically",
+  "scepticism": "skepticism",
+  "sceptics": "skeptics",
+  "sceptre": "scepter",
+  "sceptres": "scepters",
+  "scrutinise": "scrutinize",
+  "scrutinised": "scrutinized",
+  "scrutinises": "scrutinizes",
+  "scrutinising": "scrutinizing",
+  "secularisation": "secularization",
+  "secularise": "secularize",
+  "secularised": "secularized",
+  "secularises": "secularizes",
+  "secularising": "secularizing",
+  "sensationalise": "sensationalize",
+  "sensationalised": "sensationalized",
+  "sensationalises": "sensationalizes",
+  "sensationalising": "sensationalizing",
+  "sensitise": "sensitize",
+  "sensitised": "sensitized",
+  "sensitises": "sensitizes",
+  "sensitising": "sensitizing",
+  "sentimentalise": "sentimentalize",
+  "sentimentalised": "sentimentalized",
+  "sentimentalises": "sentimentalizes",
+  "sentimentalising": "sentimentalizing",
+  "sepulchre": "sepulcher",
+  "sepulchres": "sepulchers",
+  "serialisation": "serialization",
+  "serialisations": "serializations",
+  "serialise": "serialize",
+  "serialised": "serialized",
+  "serialises": "serializes",
+  "serialising": "serializing",
+  "sermonise": "sermonize",
+  "sermonised": "sermonized",
+  "sermonises": "sermonizes",
+  "sermonising": "sermonizing",
+  "sheikh": "sheik",
+  "shovelled": "shoveled",
+  "shovelling": "shoveling",
+  "shrivelled": "shriveled",
+  "shrivelling": "shriveling",
+  "signalise": "signalize",
+  "signalised": "signalized",
+  "signalises": "signalizes",
+  "signalising": "signalizing",
+  "signalled": "signaled",
+  "signalling": "signaling",
+  "smoulder": "smolder",
+  "smouldered": "smoldered",
+  "smouldering": "smoldering",
+  "smoulders": "smolders",
+  "snivelled": "sniveled",
+  "snivelling": "sniveling",
+  "snorkelled": "snorkeled",
+  "snorkelling": "snorkeling",
+  "snowplough": "snowplow",
+  "snowploughs": "snowplow",
+  "socialisation": "socialization",
+  "socialise": "socialize",
+  "socialised": "socialized",
+  "socialises": "socializes",
+  "socialising": "socializing",
+  "sodomise": "sodomize",
+  "sodomised": "sodomized",
+  "sodomises": "sodomizes",
+  "sodomising": "sodomizing",
+  "solemnise": "solemnize",
+  "solemnised": "solemnized",
+  "solemnises": "solemnizes",
+  "solemnising": "solemnizing",
+  "sombre": "somber",
+  "specialisation": "specialization",
+  "specialisations": "specializations",
+  "specialise": "specialize",
+  "specialised": "specialized",
+  "specialises": "specializes",
+  "specialising": "specializing",
+  "spectre": "specter",
+  "spectres": "specters",
+  "spiralled": "spiraled",
+  "spiralling": "spiraling",
+  "splendour": "splendor",
+  "splendours": "splendors",
+  "squirrelled": "squirreled",
+  "squirrelling": "squirreling",
+  "stabilisation": "stabilization",
+  "stabilise": "stabilize",
+  "stabilised": "stabilized",
+  "stabiliser": "stabilizer",
+  "stabilisers": "stabilizers",
+  "stabilises": "stabilizes",
+  "stabilising": "stabilizing",
+  "standardisation": "standardization",
+  "standardise": "standardize",
+  "standardised": "standardized",
+  "standardises": "standardizes",
+  "standardising": "standardizing",
+  "stencilled": "stenciled",
+  "stencilling": "stenciling",
+  "sterilisation": "sterilization",
+  "sterilisations": "sterilizations",
+  "sterilise": "sterilize",
+  "sterilised": "sterilized",
+  "steriliser": "sterilizer",
+  "sterilisers": "sterilizers",
+  "sterilises": "sterilizes",
+  "sterilising": "sterilizing",
+  "stigmatisation": "stigmatization",
+  "stigmatise": "stigmatize",
+  "stigmatised": "stigmatized",
+  "stigmatises": "stigmatizes",
+  "stigmatising": "stigmatizing",
+  "storey": "story",
+  "storeys": "stories",
+  "subsidisation": "subsidization",
+  "subsidise": "subsidize",
+  "subsidised": "subsidized",
+  "subsidiser": "subsidizer",
+  "subsidisers": "subsidizers",
+  "subsidises": "subsidizes",
+  "subsidising": "subsidizing",
+  "succour": "succor",
+  "succoured": "succored",
+  "succouring": "succoring",
+  "succours": "succors",
+  "sulphate": "sulfate",
+  "sulphates": "sulfates",
+  "sulphide": "sulfide",
+  "sulphides": "sulfides",
+  "sulphur": "sulfur",
+  "sulphurous": "sulfurous",
+  "summarise": "summarize",
+  "summarised": "summarized",
+  "summarises": "summarizes",
+  "summarising": "summarizing",
+  "swivelled": "swiveled",
+  "swivelling": "swiveling",
+  "symbolise": "symbolize",
+  "symbolised": "symbolized",
+  "symbolises": "symbolizes",
+  "symbolising": "symbolizing",
+  "sympathise": "sympathize",
+  "sympathised": "sympathized",
+  "sympathiser": "sympathizer",
+  "sympathisers": "sympathizers",
+  "sympathises": "sympathizes",
+  "sympathising": "sympathizing",
+  "synchronisation": "synchronization",
+  "synchronise": "synchronize",
+  "synchronised": "synchronized",
+  "synchronises": "synchronizes",
+  "synchronising": "synchronizing",
+  "synthesise": "synthesize",
+  "synthesised": "synthesized",
+  "synthesiser": "synthesizer",
+  "synthesisers": "synthesizers",
+  "synthesises": "synthesizes",
+  "synthesising": "synthesizing",
+  "syphon": "siphon",
+  "syphoned": "siphoned",
+  "syphoning": "siphoning",
+  "syphons": "siphons",
+  "systematisation": "systematization",
+  "systematise": "systematize",
+  "systematised": "systematized",
+  "systematises": "systematizes",
+  "systematising": "systematizing",
+  "tantalise": "tantalize",
+  "tantalised": "tantalized",
+  "tantalises": "tantalizes",
+  "tantalising": "tantalizing",
+  "tantalisingly": "tantalizingly",
+  "tasselled": "tasseled",
+  "technicolour": "technicolor",
+  "temporise": "temporize",
+  "temporised": "temporized",
+  "temporises": "temporizes",
+  "temporising": "temporizing",
+  "tenderise": "tenderize",
+  "tenderised": "tenderized",
+  "tenderises": "tenderizes",
+  "tenderising": "tenderizing",
+  "terrorise": "terrorize",
+  "terrorised": "terrorized",
+  "terrorises": "terrorizes",
+  "terrorising": "terrorizing",
+  "theatre": "theater",
+  "theatregoer": "theatergoer",
+  "theatregoers": "theatergoers",
+  "theatres": "theaters",
+  "theorise": "theorize",
+  "theorised": "theorized",
+  "theorises": "theorizes",
+  "theorising": "theorizing",
+  "tonne": "ton",
+  "tonnes": "tons",
+  "towelled": "toweled",
+  "towelling": "toweling",
+  "toxaemia": "toxemia",
+  "tranquillise": "tranquilize",
+  "tranquillised": "tranquilized",
+  "tranquilliser": "tranquilizer",
+  "tranquillisers": "tranquilizers",
+  "tranquillises": "tranquilizes",
+  "tranquillising": "tranquilizing",
+  "tranquillity": "tranquility",
+  "tranquillize": "tranquilize",
+  "tranquillized": "tranquilized",
+  "tranquillizer": "tranquilizer",
+  "tranquillizers": "tranquilizers",
+  "tranquillizes": "tranquilizes",
+  "tranquillizing": "tranquilizing",
+  "tranquilly": "tranquility",
+  "transistorised": "transistorized",
+  "traumatise": "traumatize",
+  "traumatised": "traumatized",
+  "traumatises": "traumatizes",
+  "traumatising": "traumatizing",
+  "travelled": "traveled",
+  "traveller": "traveler",
+  "travellers": "travelers",
+  "travelling": "traveling",
+  "travelog": "travelogue",
+  "travelogs": "travelogues",
+  "trialled": "trialed",
+  "trialling": "trialing",
+  "tricolour": "tricolor",
+  "tricolours": "tricolors",
+  "trivialise": "trivialize",
+  "trivialised": "trivialized",
+  "trivialises": "trivializes",
+  "trivialising": "trivializing",
+  "tumour": "tumor",
+  "tumours": "tumors",
+  "tunnelled": "tunneled",
+  "tunnelling": "tunneling",
+  "tyrannise": "tyrannize",
+  "tyrannised": "tyrannized",
+  "tyrannises": "tyrannizes",
+  "tyrannising": "tyrannizing",
+  "tyre": "tire",
+  "tyres": "tires",
+  "unauthorised": "unauthorized",
+  "uncivilised": "uncivilized",
+  "underutilised": "underutilized",
+  "unequalled": "unequaled",
+  "unfavourable": "unfavorable",
+  "unfavourably": "unfavorably",
+  "unionisation": "unionization",
+  "unionise": "unionize",
+  "unionised": "unionized",
+  "unionises": "unionizes",
+  "unionising": "unionizing",
+  "unorganised": "unorganized",
+  "unravelled": "unraveled",
+  "unravelling": "unraveling",
+  "unrecognisable": "unrecognizable",
+  "unrecognised": "unrecognized",
+  "unrivalled": "unrivaled",
+  "unsavoury": "unsavory",
+  "untrammelled": "untrammeled",
+  "urbanisation": "urbanization",
+  "urbanise": "urbanize",
+  "urbanised": "urbanized",
+  "urbanises": "urbanizes",
+  "urbanising": "urbanizing",
+  "utilisable": "utilizable",
+  "utilisation": "utilization",
+  "utilise": "utilize",
+  "utilised": "utilized",
+  "utilises": "utilizes",
+  "utilising": "utilizing",
+  "valour": "valor",
+  "vandalise": "vandalize",
+  "vandalised": "vandalized",
+  "vandalises": "vandalizes",
+  "vandalising": "vandalizing",
+  "vaporisation": "vaporization",
+  "vaporise": "vaporize",
+  "vaporised": "vaporized",
+  "vaporises": "vaporizes",
+  "vaporising": "vaporizing",
+  "vapour": "vapor",
+  "vapours": "vapors",
+  "verbalise": "verbalize",
+  "verbalised": "verbalized",
+  "verbalises": "verbalizes",
+  "verbalising": "verbalizing",
+  "victimisation": "victimization",
+  "victimise": "victimize",
+  "victimised": "victimized",
+  "victimises": "victimizes",
+  "victimising": "victimizing",
+  "videodisc": "videodisk",
+  "videodiscs": "videodisks",
+  "vigour": "vigor",
+  "visualisation": "visualization",
+  "visualisations": "visualizations",
+  "visualise": "visualize",
+  "visualised": "visualized",
+  "visualises": "visualizes",
+  "visualising": "visualizing",
+  "vocalisation": "vocalization",
+  "vocalisations": "vocalizations",
+  "vocalise": "vocalize",
+  "vocalised": "vocalized",
+  "vocalises": "vocalizes",
+  "vocalising": "vocalizing",
+  "vulcanised": "vulcanized",
+  "vulgarisation": "vulgarization",
+  "vulgarise": "vulgarize",
+  "vulgarised": "vulgarized",
+  "vulgarises": "vulgarizes",
+  "vulgarising": "vulgarizing",
+  "waggon": "wagon",
+  "waggons": "wagons",
+  "watercolour": "watercolor",
+  "watercolours": "watercolors",
+  "weaselled": "weaseled",
+  "weaselling": "weaseling",
+  "westernisation": "westernization",
+  "westernise": "westernize",
+  "westernised": "westernized",
+  "westernises": "westernizes",
+  "westernising": "westernizing",
+  "womanise": "womanize",
+  "womanised": "womanized",
+  "womaniser": "womanizer",
+  "womanisers": "womanizers",
+  "womanises": "womanizes",
+  "womanising": "womanizing",
+  "woollen": "woolen",
+  "woollens": "woolens",
+  "woollies": "woolies",
+  "woolly": "wooly",
+  "worshipped": "worshiped",
+  "worshipper": "worshiper",
+  "worshipping": "worshiping",
+  "yodelled": "yodeled",
+  "yodelling": "yodeling",
+  "yoghourt": "yogurt",
+  "yoghourts": "yogurts",
+  "yoghurt": "yogurt",
+  "yoghurts": "yogurts"
+}

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:05aee2b0b67da7e3d8ce1b0e4b26d0dccbd41f4b3151f5a72cde2cc2fd427851
+size 14244

scaler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:80f6f1f1a17f226072b8e4eaf443e1f008027348ecd0417f275c639dc150527b
+size 988

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a7325bfb601a3d970e5295d7b8685c06e7f610124e95c261e698b56de08c523
+size 1064

special_tokens_map.json

@@ -0,0 +1,139 @@
+{
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|startoftranscript|>",
+    "<|en|>",
+    "<|zh|>",
+    "<|de|>",
+    "<|es|>",
+    "<|ru|>",
+    "<|ko|>",
+    "<|fr|>",
+    "<|ja|>",
+    "<|pt|>",
+    "<|tr|>",
+    "<|pl|>",
+    "<|ca|>",
+    "<|nl|>",
+    "<|ar|>",
+    "<|sv|>",
+    "<|it|>",
+    "<|id|>",
+    "<|hi|>",
+    "<|fi|>",
+    "<|vi|>",
+    "<|he|>",
+    "<|uk|>",
+    "<|el|>",
+    "<|ms|>",
+    "<|cs|>",
+    "<|ro|>",
+    "<|da|>",
+    "<|hu|>",
+    "<|ta|>",
+    "<|no|>",
+    "<|th|>",
+    "<|ur|>",
+    "<|hr|>",
+    "<|bg|>",
+    "<|lt|>",
+    "<|la|>",
+    "<|mi|>",
+    "<|ml|>",
+    "<|cy|>",
+    "<|sk|>",
+    "<|te|>",
+    "<|fa|>",
+    "<|lv|>",
+    "<|bn|>",
+    "<|sr|>",
+    "<|az|>",
+    "<|sl|>",
+    "<|kn|>",
+    "<|et|>",
+    "<|mk|>",
+    "<|br|>",
+    "<|eu|>",
+    "<|is|>",
+    "<|hy|>",
+    "<|ne|>",
+    "<|mn|>",
+    "<|bs|>",
+    "<|kk|>",
+    "<|sq|>",
+    "<|sw|>",
+    "<|gl|>",
+    "<|mr|>",
+    "<|pa|>",
+    "<|si|>",
+    "<|km|>",
+    "<|sn|>",
+    "<|yo|>",
+    "<|so|>",
+    "<|af|>",
+    "<|oc|>",
+    "<|ka|>",
+    "<|be|>",
+    "<|tg|>",
+    "<|sd|>",
+    "<|gu|>",
+    "<|am|>",
+    "<|yi|>",
+    "<|lo|>",
+    "<|uz|>",
+    "<|fo|>",
+    "<|ht|>",
+    "<|ps|>",
+    "<|tk|>",
+    "<|nn|>",
+    "<|mt|>",
+    "<|sa|>",
+    "<|lb|>",
+    "<|my|>",
+    "<|bo|>",
+    "<|tl|>",
+    "<|mg|>",
+    "<|as|>",
+    "<|tt|>",
+    "<|haw|>",
+    "<|ln|>",
+    "<|ha|>",
+    "<|ba|>",
+    "<|jw|>",
+    "<|su|>",
+    "<|translate|>",
+    "<|transcribe|>",
+    "<|startoflm|>",
+    "<|startofprev|>",
+    "<|nocaptions|>",
+    "<|notimestamps|>"
+  ],
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

trainer_state.json

@@ -0,0 +1,3008 @@
+{
+  "best_global_step": 9500,
+  "best_metric": 16.040464106107944,
+  "best_model_checkpoint": "/content/drive/MyDrive/models/whisper_small_ru_model_trainer_3ep/checkpoint-9500",
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 9894,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.007580351728320194,
+      "grad_norm": 10.993572235107422,
+      "learning_rate": 9.975742874469376e-06,
+      "loss": 0.4792,
+      "step": 25
+    },
+    {
+      "epoch": 0.015160703456640388,
+      "grad_norm": 7.92294979095459,
+      "learning_rate": 9.950475035374976e-06,
+      "loss": 0.27,
+      "step": 50
+    },
+    {
+      "epoch": 0.02274105518496058,
+      "grad_norm": 11.214887619018555,
+      "learning_rate": 9.925207196280575e-06,
+      "loss": 0.3111,
+      "step": 75
+    },
+    {
+      "epoch": 0.030321406913280776,
+      "grad_norm": 6.483564376831055,
+      "learning_rate": 9.899939357186174e-06,
+      "loss": 0.2659,
+      "step": 100
+    },
+    {
+      "epoch": 0.03790175864160097,
+      "grad_norm": 13.091401100158691,
+      "learning_rate": 9.874671518091774e-06,
+      "loss": 0.2524,
+      "step": 125
+    },
+    {
+      "epoch": 0.04548211036992116,
+      "grad_norm": 9.941374778747559,
+      "learning_rate": 9.849403678997373e-06,
+      "loss": 0.2601,
+      "step": 150
+    },
+    {
+      "epoch": 0.05306246209824136,
+      "grad_norm": 10.436762809753418,
+      "learning_rate": 9.824135839902972e-06,
+      "loss": 0.2364,
+      "step": 175
+    },
+    {
+      "epoch": 0.06064281382656155,
+      "grad_norm": 6.529853343963623,
+      "learning_rate": 9.798868000808572e-06,
+      "loss": 0.2406,
+      "step": 200
+    },
+    {
+      "epoch": 0.06822316555488174,
+      "grad_norm": 6.7477641105651855,
+      "learning_rate": 9.77360016171417e-06,
+      "loss": 0.2628,
+      "step": 225
+    },
+    {
+      "epoch": 0.07580351728320193,
+      "grad_norm": 8.057855606079102,
+      "learning_rate": 9.74833232261977e-06,
+      "loss": 0.2343,
+      "step": 250
+    },
+    {
+      "epoch": 0.08338386901152213,
+      "grad_norm": 8.777417182922363,
+      "learning_rate": 9.72306448352537e-06,
+      "loss": 0.2544,
+      "step": 275
+    },
+    {
+      "epoch": 0.09096422073984232,
+      "grad_norm": 9.590123176574707,
+      "learning_rate": 9.697796644430968e-06,
+      "loss": 0.2533,
+      "step": 300
+    },
+    {
+      "epoch": 0.09854457246816252,
+      "grad_norm": 12.065073013305664,
+      "learning_rate": 9.672528805336569e-06,
+      "loss": 0.248,
+      "step": 325
+    },
+    {
+      "epoch": 0.10612492419648271,
+      "grad_norm": 6.656917095184326,
+      "learning_rate": 9.647260966242168e-06,
+      "loss": 0.245,
+      "step": 350
+    },
+    {
+      "epoch": 0.11370527592480291,
+      "grad_norm": 13.028727531433105,
+      "learning_rate": 9.621993127147768e-06,
+      "loss": 0.2245,
+      "step": 375
+    },
+    {
+      "epoch": 0.1212856276531231,
+      "grad_norm": 9.074626922607422,
+      "learning_rate": 9.596725288053367e-06,
+      "loss": 0.2464,
+      "step": 400
+    },
+    {
+      "epoch": 0.12886597938144329,
+      "grad_norm": 7.7365217208862305,
+      "learning_rate": 9.571457448958967e-06,
+      "loss": 0.2233,
+      "step": 425
+    },
+    {
+      "epoch": 0.13644633110976348,
+      "grad_norm": 7.931459426879883,
+      "learning_rate": 9.546189609864566e-06,
+      "loss": 0.2522,
+      "step": 450
+    },
+    {
+      "epoch": 0.14402668283808367,
+      "grad_norm": 10.054927825927734,
+      "learning_rate": 9.520921770770164e-06,
+      "loss": 0.2288,
+      "step": 475
+    },
+    {
+      "epoch": 0.15160703456640387,
+      "grad_norm": 11.330881118774414,
+      "learning_rate": 9.495653931675763e-06,
+      "loss": 0.2206,
+      "step": 500
+    },
+    {
+      "epoch": 0.15160703456640387,
+      "eval_cer": 5.496337965229563,
+      "eval_loss": 0.26026931405067444,
+      "eval_runtime": 4183.6066,
+      "eval_samples_per_second": 2.439,
+      "eval_ser": 69.43055963932177,
+      "eval_steps_per_second": 0.61,
+      "eval_wer": 21.266884240601154,
+      "step": 500
+    },
+    {
+      "epoch": 0.15918738629472406,
+      "grad_norm": 22.062847137451172,
+      "learning_rate": 9.470386092581364e-06,
+      "loss": 0.2404,
+      "step": 525
+    },
+    {
+      "epoch": 0.16676773802304426,
+      "grad_norm": 6.779280662536621,
+      "learning_rate": 9.445118253486962e-06,
+      "loss": 0.2299,
+      "step": 550
+    },
+    {
+      "epoch": 0.17434808975136445,
+      "grad_norm": 10.592273712158203,
+      "learning_rate": 9.419850414392561e-06,
+      "loss": 0.2064,
+      "step": 575
+    },
+    {
+      "epoch": 0.18192844147968465,
+      "grad_norm": 5.647468566894531,
+      "learning_rate": 9.394582575298161e-06,
+      "loss": 0.1878,
+      "step": 600
+    },
+    {
+      "epoch": 0.18950879320800484,
+      "grad_norm": 12.663495063781738,
+      "learning_rate": 9.36931473620376e-06,
+      "loss": 0.2302,
+      "step": 625
+    },
+    {
+      "epoch": 0.19708914493632504,
+      "grad_norm": 11.353273391723633,
+      "learning_rate": 9.34404689710936e-06,
+      "loss": 0.263,
+      "step": 650
+    },
+    {
+      "epoch": 0.20466949666464523,
+      "grad_norm": 10.60062026977539,
+      "learning_rate": 9.318779058014959e-06,
+      "loss": 0.2276,
+      "step": 675
+    },
+    {
+      "epoch": 0.21224984839296543,
+      "grad_norm": 6.700550556182861,
+      "learning_rate": 9.29351121892056e-06,
+      "loss": 0.2314,
+      "step": 700
+    },
+    {
+      "epoch": 0.21983020012128562,
+      "grad_norm": 11.847448348999023,
+      "learning_rate": 9.268243379826158e-06,
+      "loss": 0.2282,
+      "step": 725
+    },
+    {
+      "epoch": 0.22741055184960582,
+      "grad_norm": 10.603355407714844,
+      "learning_rate": 9.242975540731759e-06,
+      "loss": 0.1968,
+      "step": 750
+    },
+    {
+      "epoch": 0.234990903577926,
+      "grad_norm": 10.278948783874512,
+      "learning_rate": 9.217707701637356e-06,
+      "loss": 0.2209,
+      "step": 775
+    },
+    {
+      "epoch": 0.2425712553062462,
+      "grad_norm": 7.834460735321045,
+      "learning_rate": 9.192439862542956e-06,
+      "loss": 0.189,
+      "step": 800
+    },
+    {
+      "epoch": 0.2501516070345664,
+      "grad_norm": 7.9238810539245605,
+      "learning_rate": 9.167172023448555e-06,
+      "loss": 0.1758,
+      "step": 825
+    },
+    {
+      "epoch": 0.25773195876288657,
+      "grad_norm": 16.181570053100586,
+      "learning_rate": 9.141904184354155e-06,
+      "loss": 0.1999,
+      "step": 850
+    },
+    {
+      "epoch": 0.2653123104912068,
+      "grad_norm": 5.385849475860596,
+      "learning_rate": 9.116636345259754e-06,
+      "loss": 0.2353,
+      "step": 875
+    },
+    {
+      "epoch": 0.27289266221952696,
+      "grad_norm": 14.86568832397461,
+      "learning_rate": 9.091368506165354e-06,
+      "loss": 0.2039,
+      "step": 900
+    },
+    {
+      "epoch": 0.2804730139478472,
+      "grad_norm": 8.38940715789795,
+      "learning_rate": 9.066100667070953e-06,
+      "loss": 0.2048,
+      "step": 925
+    },
+    {
+      "epoch": 0.28805336567616735,
+      "grad_norm": 6.71006965637207,
+      "learning_rate": 9.040832827976552e-06,
+      "loss": 0.2016,
+      "step": 950
+    },
+    {
+      "epoch": 0.2956337174044876,
+      "grad_norm": 9.024951934814453,
+      "learning_rate": 9.015564988882152e-06,
+      "loss": 0.2272,
+      "step": 975
+    },
+    {
+      "epoch": 0.30321406913280774,
+      "grad_norm": 6.729151725769043,
+      "learning_rate": 8.99029714978775e-06,
+      "loss": 0.22,
+      "step": 1000
+    },
+    {
+      "epoch": 0.30321406913280774,
+      "eval_cer": 5.382320373005102,
+      "eval_loss": 0.24674250185489655,
+      "eval_runtime": 4121.9591,
+      "eval_samples_per_second": 2.475,
+      "eval_ser": 67.35273939037538,
+      "eval_steps_per_second": 0.619,
+      "eval_wer": 20.297092948978527,
+      "step": 1000
+    },
+    {
+      "epoch": 0.31079442086112796,
+      "grad_norm": 9.8275785446167,
+      "learning_rate": 8.965029310693351e-06,
+      "loss": 0.2513,
+      "step": 1025
+    },
+    {
+      "epoch": 0.31837477258944813,
+      "grad_norm": 8.723328590393066,
+      "learning_rate": 8.93976147159895e-06,
+      "loss": 0.2095,
+      "step": 1050
+    },
+    {
+      "epoch": 0.32595512431776835,
+      "grad_norm": 10.17667007446289,
+      "learning_rate": 8.91449363250455e-06,
+      "loss": 0.1945,
+      "step": 1075
+    },
+    {
+      "epoch": 0.3335354760460885,
+      "grad_norm": 9.78806209564209,
+      "learning_rate": 8.889225793410147e-06,
+      "loss": 0.2357,
+      "step": 1100
+    },
+    {
+      "epoch": 0.34111582777440874,
+      "grad_norm": 7.773096084594727,
+      "learning_rate": 8.863957954315748e-06,
+      "loss": 0.1901,
+      "step": 1125
+    },
+    {
+      "epoch": 0.3486961795027289,
+      "grad_norm": 5.588106155395508,
+      "learning_rate": 8.838690115221346e-06,
+      "loss": 0.2156,
+      "step": 1150
+    },
+    {
+      "epoch": 0.35627653123104913,
+      "grad_norm": 9.3190336227417,
+      "learning_rate": 8.813422276126947e-06,
+      "loss": 0.2014,
+      "step": 1175
+    },
+    {
+      "epoch": 0.3638568829593693,
+      "grad_norm": 7.115675926208496,
+      "learning_rate": 8.788154437032545e-06,
+      "loss": 0.2073,
+      "step": 1200
+    },
+    {
+      "epoch": 0.3714372346876895,
+      "grad_norm": 8.060104370117188,
+      "learning_rate": 8.762886597938146e-06,
+      "loss": 0.1789,
+      "step": 1225
+    },
+    {
+      "epoch": 0.3790175864160097,
+      "grad_norm": 8.937747955322266,
+      "learning_rate": 8.737618758843744e-06,
+      "loss": 0.2115,
+      "step": 1250
+    },
+    {
+      "epoch": 0.3865979381443299,
+      "grad_norm": 10.151251792907715,
+      "learning_rate": 8.712350919749343e-06,
+      "loss": 0.216,
+      "step": 1275
+    },
+    {
+      "epoch": 0.3941782898726501,
+      "grad_norm": 6.023889064788818,
+      "learning_rate": 8.687083080654943e-06,
+      "loss": 0.1836,
+      "step": 1300
+    },
+    {
+      "epoch": 0.4017586416009703,
+      "grad_norm": 9.286721229553223,
+      "learning_rate": 8.661815241560542e-06,
+      "loss": 0.1799,
+      "step": 1325
+    },
+    {
+      "epoch": 0.40933899332929047,
+      "grad_norm": 10.163074493408203,
+      "learning_rate": 8.636547402466143e-06,
+      "loss": 0.183,
+      "step": 1350
+    },
+    {
+      "epoch": 0.4169193450576107,
+      "grad_norm": 11.878681182861328,
+      "learning_rate": 8.611279563371741e-06,
+      "loss": 0.2121,
+      "step": 1375
+    },
+    {
+      "epoch": 0.42449969678593086,
+      "grad_norm": 10.150252342224121,
+      "learning_rate": 8.58601172427734e-06,
+      "loss": 0.1837,
+      "step": 1400
+    },
+    {
+      "epoch": 0.4320800485142511,
+      "grad_norm": 6.533999443054199,
+      "learning_rate": 8.560743885182939e-06,
+      "loss": 0.219,
+      "step": 1425
+    },
+    {
+      "epoch": 0.43966040024257125,
+      "grad_norm": 10.426810264587402,
+      "learning_rate": 8.535476046088539e-06,
+      "loss": 0.2285,
+      "step": 1450
+    },
+    {
+      "epoch": 0.44724075197089147,
+      "grad_norm": 10.712567329406738,
+      "learning_rate": 8.510208206994138e-06,
+      "loss": 0.1837,
+      "step": 1475
+    },
+    {
+      "epoch": 0.45482110369921164,
+      "grad_norm": 8.469382286071777,
+      "learning_rate": 8.484940367899738e-06,
+      "loss": 0.1901,
+      "step": 1500
+    },
+    {
+      "epoch": 0.45482110369921164,
+      "eval_cer": 5.116005507016847,
+      "eval_loss": 0.23773027956485748,
+      "eval_runtime": 4147.5807,
+      "eval_samples_per_second": 2.46,
+      "eval_ser": 66.17661472116045,
+      "eval_steps_per_second": 0.615,
+      "eval_wer": 19.564232703452923,
+      "step": 1500
+    },
+    {
+      "epoch": 0.46240145542753186,
+      "grad_norm": 11.634538650512695,
+      "learning_rate": 8.459672528805337e-06,
+      "loss": 0.1774,
+      "step": 1525
+    },
+    {
+      "epoch": 0.469981807155852,
+      "grad_norm": 9.295145034790039,
+      "learning_rate": 8.434404689710937e-06,
+      "loss": 0.2293,
+      "step": 1550
+    },
+    {
+      "epoch": 0.47756215888417225,
+      "grad_norm": 9.195737838745117,
+      "learning_rate": 8.409136850616536e-06,
+      "loss": 0.195,
+      "step": 1575
+    },
+    {
+      "epoch": 0.4851425106124924,
+      "grad_norm": 7.1239776611328125,
+      "learning_rate": 8.383869011522136e-06,
+      "loss": 0.1902,
+      "step": 1600
+    },
+    {
+      "epoch": 0.49272286234081264,
+      "grad_norm": 8.784886360168457,
+      "learning_rate": 8.358601172427735e-06,
+      "loss": 0.1708,
+      "step": 1625
+    },
+    {
+      "epoch": 0.5003032140691328,
+      "grad_norm": 9.43509578704834,
+      "learning_rate": 8.333333333333334e-06,
+      "loss": 0.1978,
+      "step": 1650
+    },
+    {
+      "epoch": 0.507883565797453,
+      "grad_norm": 9.499982833862305,
+      "learning_rate": 8.308065494238934e-06,
+      "loss": 0.2036,
+      "step": 1675
+    },
+    {
+      "epoch": 0.5154639175257731,
+      "grad_norm": 7.286120414733887,
+      "learning_rate": 8.282797655144533e-06,
+      "loss": 0.2003,
+      "step": 1700
+    },
+    {
+      "epoch": 0.5230442692540934,
+      "grad_norm": 6.725291728973389,
+      "learning_rate": 8.257529816050132e-06,
+      "loss": 0.2139,
+      "step": 1725
+    },
+    {
+      "epoch": 0.5306246209824136,
+      "grad_norm": 5.5903401374816895,
+      "learning_rate": 8.23226197695573e-06,
+      "loss": 0.1869,
+      "step": 1750
+    },
+    {
+      "epoch": 0.5382049727107338,
+      "grad_norm": 7.579101085662842,
+      "learning_rate": 8.20699413786133e-06,
+      "loss": 0.2097,
+      "step": 1775
+    },
+    {
+      "epoch": 0.5457853244390539,
+      "grad_norm": 4.244465351104736,
+      "learning_rate": 8.18172629876693e-06,
+      "loss": 0.1906,
+      "step": 1800
+    },
+    {
+      "epoch": 0.5533656761673742,
+      "grad_norm": 5.5115580558776855,
+      "learning_rate": 8.15645845967253e-06,
+      "loss": 0.197,
+      "step": 1825
+    },
+    {
+      "epoch": 0.5609460278956944,
+      "grad_norm": 6.544187068939209,
+      "learning_rate": 8.131190620578128e-06,
+      "loss": 0.2061,
+      "step": 1850
+    },
+    {
+      "epoch": 0.5685263796240145,
+      "grad_norm": 6.87299108505249,
+      "learning_rate": 8.105922781483729e-06,
+      "loss": 0.2018,
+      "step": 1875
+    },
+    {
+      "epoch": 0.5761067313523347,
+      "grad_norm": 11.84753704071045,
+      "learning_rate": 8.080654942389327e-06,
+      "loss": 0.2018,
+      "step": 1900
+    },
+    {
+      "epoch": 0.583687083080655,
+      "grad_norm": 7.050841331481934,
+      "learning_rate": 8.055387103294928e-06,
+      "loss": 0.1903,
+      "step": 1925
+    },
+    {
+      "epoch": 0.5912674348089751,
+      "grad_norm": 7.1467461585998535,
+      "learning_rate": 8.030119264200527e-06,
+      "loss": 0.2079,
+      "step": 1950
+    },
+    {
+      "epoch": 0.5988477865372953,
+      "grad_norm": 7.622501373291016,
+      "learning_rate": 8.004851425106125e-06,
+      "loss": 0.2047,
+      "step": 1975
+    },
+    {
+      "epoch": 0.6064281382656155,
+      "grad_norm": 10.488551139831543,
+      "learning_rate": 7.979583586011726e-06,
+      "loss": 0.1969,
+      "step": 2000
+    },
+    {
+      "epoch": 0.6064281382656155,
+      "eval_cer": 5.075425758775576,
+      "eval_loss": 0.22730673849582672,
+      "eval_runtime": 4147.4744,
+      "eval_samples_per_second": 2.46,
+      "eval_ser": 64.32421836714691,
+      "eval_steps_per_second": 0.615,
+      "eval_wer": 19.050882103576033,
+      "step": 2000
+    },
+    {
+      "epoch": 0.6140084899939358,
+      "grad_norm": 6.823671817779541,
+      "learning_rate": 7.954315746917324e-06,
+      "loss": 0.2002,
+      "step": 2025
+    },
+    {
+      "epoch": 0.6215888417222559,
+      "grad_norm": 7.486941814422607,
+      "learning_rate": 7.929047907822923e-06,
+      "loss": 0.2046,
+      "step": 2050
+    },
+    {
+      "epoch": 0.6291691934505761,
+      "grad_norm": 6.544958114624023,
+      "learning_rate": 7.903780068728523e-06,
+      "loss": 0.1736,
+      "step": 2075
+    },
+    {
+      "epoch": 0.6367495451788963,
+      "grad_norm": 7.139219760894775,
+      "learning_rate": 7.878512229634122e-06,
+      "loss": 0.1844,
+      "step": 2100
+    },
+    {
+      "epoch": 0.6443298969072165,
+      "grad_norm": 10.455595970153809,
+      "learning_rate": 7.85324439053972e-06,
+      "loss": 0.1916,
+      "step": 2125
+    },
+    {
+      "epoch": 0.6519102486355367,
+      "grad_norm": 6.0816216468811035,
+      "learning_rate": 7.827976551445321e-06,
+      "loss": 0.2102,
+      "step": 2150
+    },
+    {
+      "epoch": 0.6594906003638569,
+      "grad_norm": 4.258129119873047,
+      "learning_rate": 7.80270871235092e-06,
+      "loss": 0.1785,
+      "step": 2175
+    },
+    {
+      "epoch": 0.667070952092177,
+      "grad_norm": 8.886266708374023,
+      "learning_rate": 7.77744087325652e-06,
+      "loss": 0.1916,
+      "step": 2200
+    },
+    {
+      "epoch": 0.6746513038204973,
+      "grad_norm": 8.997633934020996,
+      "learning_rate": 7.752173034162119e-06,
+      "loss": 0.2088,
+      "step": 2225
+    },
+    {
+      "epoch": 0.6822316555488175,
+      "grad_norm": 9.341837882995605,
+      "learning_rate": 7.72690519506772e-06,
+      "loss": 0.1996,
+      "step": 2250
+    },
+    {
+      "epoch": 0.6898120072771377,
+      "grad_norm": 11.538143157958984,
+      "learning_rate": 7.701637355973318e-06,
+      "loss": 0.1766,
+      "step": 2275
+    },
+    {
+      "epoch": 0.6973923590054578,
+      "grad_norm": 6.78935432434082,
+      "learning_rate": 7.676369516878917e-06,
+      "loss": 0.1748,
+      "step": 2300
+    },
+    {
+      "epoch": 0.7049727107337781,
+      "grad_norm": 9.051713943481445,
+      "learning_rate": 7.651101677784516e-06,
+      "loss": 0.173,
+      "step": 2325
+    },
+    {
+      "epoch": 0.7125530624620983,
+      "grad_norm": 8.62745189666748,
+      "learning_rate": 7.625833838690115e-06,
+      "loss": 0.1936,
+      "step": 2350
+    },
+    {
+      "epoch": 0.7201334141904184,
+      "grad_norm": 9.529070854187012,
+      "learning_rate": 7.600565999595715e-06,
+      "loss": 0.2004,
+      "step": 2375
+    },
+    {
+      "epoch": 0.7277137659187386,
+      "grad_norm": 7.745057106018066,
+      "learning_rate": 7.575298160501314e-06,
+      "loss": 0.1832,
+      "step": 2400
+    },
+    {
+      "epoch": 0.7352941176470589,
+      "grad_norm": 8.844827651977539,
+      "learning_rate": 7.550030321406914e-06,
+      "loss": 0.2056,
+      "step": 2425
+    },
+    {
+      "epoch": 0.742874469375379,
+      "grad_norm": 13.322829246520996,
+      "learning_rate": 7.524762482312513e-06,
+      "loss": 0.1825,
+      "step": 2450
+    },
+    {
+      "epoch": 0.7504548211036992,
+      "grad_norm": 10.450922012329102,
+      "learning_rate": 7.499494643218113e-06,
+      "loss": 0.1798,
+      "step": 2475
+    },
+    {
+      "epoch": 0.7580351728320194,
+      "grad_norm": 9.188721656799316,
+      "learning_rate": 7.474226804123712e-06,
+      "loss": 0.1743,
+      "step": 2500
+    },
+    {
+      "epoch": 0.7580351728320194,
+      "eval_cer": 4.852319288687943,
+      "eval_loss": 0.2188422828912735,
+      "eval_runtime": 4181.1454,
+      "eval_samples_per_second": 2.44,
+      "eval_ser": 63.148093697931984,
+      "eval_steps_per_second": 0.61,
+      "eval_wer": 18.228592002415766,
+      "step": 2500
+    },
+    {
+      "epoch": 0.7656155245603395,
+      "grad_norm": 5.665472030639648,
+      "learning_rate": 7.448958965029312e-06,
+      "loss": 0.1979,
+      "step": 2525
+    },
+    {
+      "epoch": 0.7731958762886598,
+      "grad_norm": 4.752591133117676,
+      "learning_rate": 7.4236911259349106e-06,
+      "loss": 0.191,
+      "step": 2550
+    },
+    {
+      "epoch": 0.78077622801698,
+      "grad_norm": 9.350257873535156,
+      "learning_rate": 7.39842328684051e-06,
+      "loss": 0.1735,
+      "step": 2575
+    },
+    {
+      "epoch": 0.7883565797453002,
+      "grad_norm": 7.437028408050537,
+      "learning_rate": 7.37315544774611e-06,
+      "loss": 0.2365,
+      "step": 2600
+    },
+    {
+      "epoch": 0.7959369314736203,
+      "grad_norm": 9.3013916015625,
+      "learning_rate": 7.347887608651709e-06,
+      "loss": 0.1888,
+      "step": 2625
+    },
+    {
+      "epoch": 0.8035172832019406,
+      "grad_norm": 7.452167987823486,
+      "learning_rate": 7.322619769557308e-06,
+      "loss": 0.1752,
+      "step": 2650
+    },
+    {
+      "epoch": 0.8110976349302608,
+      "grad_norm": 6.42844820022583,
+      "learning_rate": 7.2973519304629074e-06,
+      "loss": 0.1991,
+      "step": 2675
+    },
+    {
+      "epoch": 0.8186779866585809,
+      "grad_norm": 6.838171482086182,
+      "learning_rate": 7.272084091368506e-06,
+      "loss": 0.1748,
+      "step": 2700
+    },
+    {
+      "epoch": 0.8262583383869011,
+      "grad_norm": 7.954586505889893,
+      "learning_rate": 7.246816252274106e-06,
+      "loss": 0.1905,
+      "step": 2725
+    },
+    {
+      "epoch": 0.8338386901152214,
+      "grad_norm": 6.925525188446045,
+      "learning_rate": 7.221548413179705e-06,
+      "loss": 0.1784,
+      "step": 2750
+    },
+    {
+      "epoch": 0.8414190418435415,
+      "grad_norm": 7.18998384475708,
+      "learning_rate": 7.196280574085305e-06,
+      "loss": 0.1693,
+      "step": 2775
+    },
+    {
+      "epoch": 0.8489993935718617,
+      "grad_norm": 8.666403770446777,
+      "learning_rate": 7.171012734990904e-06,
+      "loss": 0.1684,
+      "step": 2800
+    },
+    {
+      "epoch": 0.8565797453001819,
+      "grad_norm": 7.043132781982422,
+      "learning_rate": 7.145744895896504e-06,
+      "loss": 0.1781,
+      "step": 2825
+    },
+    {
+      "epoch": 0.8641600970285022,
+      "grad_norm": 5.09641695022583,
+      "learning_rate": 7.120477056802103e-06,
+      "loss": 0.1778,
+      "step": 2850
+    },
+    {
+      "epoch": 0.8717404487568223,
+      "grad_norm": 6.9336748123168945,
+      "learning_rate": 7.095209217707703e-06,
+      "loss": 0.1607,
+      "step": 2875
+    },
+    {
+      "epoch": 0.8793208004851425,
+      "grad_norm": 5.951363563537598,
+      "learning_rate": 7.069941378613302e-06,
+      "loss": 0.1793,
+      "step": 2900
+    },
+    {
+      "epoch": 0.8869011522134627,
+      "grad_norm": 5.363964557647705,
+      "learning_rate": 7.044673539518901e-06,
+      "loss": 0.1742,
+      "step": 2925
+    },
+    {
+      "epoch": 0.8944815039417829,
+      "grad_norm": 8.336238861083984,
+      "learning_rate": 7.0194057004245e-06,
+      "loss": 0.2014,
+      "step": 2950
+    },
+    {
+      "epoch": 0.9020618556701031,
+      "grad_norm": 6.5310587882995605,
+      "learning_rate": 6.9941378613300994e-06,
+      "loss": 0.2074,
+      "step": 2975
+    },
+    {
+      "epoch": 0.9096422073984233,
+      "grad_norm": 9.294402122497559,
+      "learning_rate": 6.968870022235699e-06,
+      "loss": 0.1747,
+      "step": 3000
+    },
+    {
+      "epoch": 0.9096422073984233,
+      "eval_cer": 4.88665599873825,
+      "eval_loss": 0.21674878895282745,
+      "eval_runtime": 4171.9101,
+      "eval_samples_per_second": 2.446,
+      "eval_ser": 62.40321474076252,
+      "eval_steps_per_second": 0.611,
+      "eval_wer": 18.098512212401715,
+      "step": 3000
+    },
+    {
+      "epoch": 0.9172225591267434,
+      "grad_norm": 8.7633056640625,
+      "learning_rate": 6.943602183141298e-06,
+      "loss": 0.1575,
+      "step": 3025
+    },
+    {
+      "epoch": 0.9248029108550637,
+      "grad_norm": 13.642629623413086,
+      "learning_rate": 6.918334344046897e-06,
+      "loss": 0.1817,
+      "step": 3050
+    },
+    {
+      "epoch": 0.9323832625833839,
+      "grad_norm": 6.795938968658447,
+      "learning_rate": 6.893066504952497e-06,
+      "loss": 0.1887,
+      "step": 3075
+    },
+    {
+      "epoch": 0.939963614311704,
+      "grad_norm": 7.764118671417236,
+      "learning_rate": 6.867798665858096e-06,
+      "loss": 0.1611,
+      "step": 3100
+    },
+    {
+      "epoch": 0.9475439660400242,
+      "grad_norm": 7.532794952392578,
+      "learning_rate": 6.842530826763696e-06,
+      "loss": 0.1869,
+      "step": 3125
+    },
+    {
+      "epoch": 0.9551243177683445,
+      "grad_norm": 6.741429328918457,
+      "learning_rate": 6.817262987669295e-06,
+      "loss": 0.1846,
+      "step": 3150
+    },
+    {
+      "epoch": 0.9627046694966647,
+      "grad_norm": 9.013187408447266,
+      "learning_rate": 6.791995148574895e-06,
+      "loss": 0.1649,
+      "step": 3175
+    },
+    {
+      "epoch": 0.9702850212249848,
+      "grad_norm": 11.595109939575195,
+      "learning_rate": 6.7667273094804945e-06,
+      "loss": 0.1818,
+      "step": 3200
+    },
+    {
+      "epoch": 0.977865372953305,
+      "grad_norm": 12.244895935058594,
+      "learning_rate": 6.741459470386094e-06,
+      "loss": 0.1906,
+      "step": 3225
+    },
+    {
+      "epoch": 0.9854457246816253,
+      "grad_norm": 6.988622188568115,
+      "learning_rate": 6.716191631291692e-06,
+      "loss": 0.173,
+      "step": 3250
+    },
+    {
+      "epoch": 0.9930260764099454,
+      "grad_norm": 4.436202526092529,
+      "learning_rate": 6.690923792197291e-06,
+      "loss": 0.1838,
+      "step": 3275
+    },
+    {
+      "epoch": 1.0006064281382656,
+      "grad_norm": 6.243381977081299,
+      "learning_rate": 6.665655953102891e-06,
+      "loss": 0.1718,
+      "step": 3300
+    },
+    {
+      "epoch": 1.0081867798665858,
+      "grad_norm": 5.074841022491455,
+      "learning_rate": 6.6403881140084905e-06,
+      "loss": 0.076,
+      "step": 3325
+    },
+    {
+      "epoch": 1.015767131594906,
+      "grad_norm": 4.297674655914307,
+      "learning_rate": 6.61512027491409e-06,
+      "loss": 0.078,
+      "step": 3350
+    },
+    {
+      "epoch": 1.0233474833232261,
+      "grad_norm": 3.33673095703125,
+      "learning_rate": 6.589852435819689e-06,
+      "loss": 0.0774,
+      "step": 3375
+    },
+    {
+      "epoch": 1.0309278350515463,
+      "grad_norm": 7.982945442199707,
+      "learning_rate": 6.564584596725288e-06,
+      "loss": 0.0856,
+      "step": 3400
+    },
+    {
+      "epoch": 1.0385081867798667,
+      "grad_norm": 5.4341888427734375,
+      "learning_rate": 6.539316757630888e-06,
+      "loss": 0.0752,
+      "step": 3425
+    },
+    {
+      "epoch": 1.0460885385081868,
+      "grad_norm": 3.646911144256592,
+      "learning_rate": 6.514048918536487e-06,
+      "loss": 0.0657,
+      "step": 3450
+    },
+    {
+      "epoch": 1.053668890236507,
+      "grad_norm": 2.50636625289917,
+      "learning_rate": 6.488781079442087e-06,
+      "loss": 0.0678,
+      "step": 3475
+    },
+    {
+      "epoch": 1.0612492419648272,
+      "grad_norm": 2.662381172180176,
+      "learning_rate": 6.4635132403476865e-06,
+      "loss": 0.077,
+      "step": 3500
+    },
+    {
+      "epoch": 1.0612492419648272,
+      "eval_cer": 4.527188431321651,
+      "eval_loss": 0.2141607105731964,
+      "eval_runtime": 4130.8959,
+      "eval_samples_per_second": 2.47,
+      "eval_ser": 60.59982358129962,
+      "eval_steps_per_second": 0.618,
+      "eval_wer": 17.200729375965437,
+      "step": 3500
+    },
+    {
+      "epoch": 1.0688295936931473,
+      "grad_norm": 2.4962751865386963,
+      "learning_rate": 6.438245401253286e-06,
+      "loss": 0.0885,
+      "step": 3525
+    },
+    {
+      "epoch": 1.0764099454214675,
+      "grad_norm": 5.805286884307861,
+      "learning_rate": 6.4129775621588856e-06,
+      "loss": 0.0644,
+      "step": 3550
+    },
+    {
+      "epoch": 1.0839902971497877,
+      "grad_norm": 3.763657331466675,
+      "learning_rate": 6.387709723064483e-06,
+      "loss": 0.0647,
+      "step": 3575
+    },
+    {
+      "epoch": 1.0915706488781078,
+      "grad_norm": 3.8962442874908447,
+      "learning_rate": 6.362441883970083e-06,
+      "loss": 0.0759,
+      "step": 3600
+    },
+    {
+      "epoch": 1.0991510006064282,
+      "grad_norm": 6.139822483062744,
+      "learning_rate": 6.3371740448756825e-06,
+      "loss": 0.0707,
+      "step": 3625
+    },
+    {
+      "epoch": 1.1067313523347484,
+      "grad_norm": 4.11650276184082,
+      "learning_rate": 6.311906205781282e-06,
+      "loss": 0.0699,
+      "step": 3650
+    },
+    {
+      "epoch": 1.1143117040630686,
+      "grad_norm": 6.533496379852295,
+      "learning_rate": 6.286638366686882e-06,
+      "loss": 0.069,
+      "step": 3675
+    },
+    {
+      "epoch": 1.1218920557913887,
+      "grad_norm": 3.1129257678985596,
+      "learning_rate": 6.261370527592481e-06,
+      "loss": 0.0707,
+      "step": 3700
+    },
+    {
+      "epoch": 1.129472407519709,
+      "grad_norm": 3.159837245941162,
+      "learning_rate": 6.23610268849808e-06,
+      "loss": 0.0766,
+      "step": 3725
+    },
+    {
+      "epoch": 1.137052759248029,
+      "grad_norm": 6.998505592346191,
+      "learning_rate": 6.210834849403679e-06,
+      "loss": 0.0799,
+      "step": 3750
+    },
+    {
+      "epoch": 1.1446331109763492,
+      "grad_norm": 5.051515102386475,
+      "learning_rate": 6.185567010309279e-06,
+      "loss": 0.08,
+      "step": 3775
+    },
+    {
+      "epoch": 1.1522134627046694,
+      "grad_norm": 4.849501132965088,
+      "learning_rate": 6.1602991712148785e-06,
+      "loss": 0.0694,
+      "step": 3800
+    },
+    {
+      "epoch": 1.1597938144329896,
+      "grad_norm": 4.301568984985352,
+      "learning_rate": 6.135031332120478e-06,
+      "loss": 0.0801,
+      "step": 3825
+    },
+    {
+      "epoch": 1.16737416616131,
+      "grad_norm": 7.137290954589844,
+      "learning_rate": 6.1097634930260776e-06,
+      "loss": 0.0707,
+      "step": 3850
+    },
+    {
+      "epoch": 1.1749545178896301,
+      "grad_norm": 1.7661166191101074,
+      "learning_rate": 6.084495653931675e-06,
+      "loss": 0.0671,
+      "step": 3875
+    },
+    {
+      "epoch": 1.1825348696179503,
+      "grad_norm": 3.448512077331543,
+      "learning_rate": 6.059227814837275e-06,
+      "loss": 0.0689,
+      "step": 3900
+    },
+    {
+      "epoch": 1.1901152213462705,
+      "grad_norm": 3.7001595497131348,
+      "learning_rate": 6.0339599757428745e-06,
+      "loss": 0.0764,
+      "step": 3925
+    },
+    {
+      "epoch": 1.1976955730745906,
+      "grad_norm": 6.902029037475586,
+      "learning_rate": 6.008692136648474e-06,
+      "loss": 0.0661,
+      "step": 3950
+    },
+    {
+      "epoch": 1.2052759248029108,
+      "grad_norm": 4.167758464813232,
+      "learning_rate": 5.983424297554074e-06,
+      "loss": 0.071,
+      "step": 3975
+    },
+    {
+      "epoch": 1.212856276531231,
+      "grad_norm": 3.972062110900879,
+      "learning_rate": 5.958156458459673e-06,
+      "loss": 0.0839,
+      "step": 4000
+    },
+    {
+      "epoch": 1.212856276531231,
+      "eval_cer": 4.462786563667489,
+      "eval_loss": 0.21264785528182983,
+      "eval_runtime": 4149.8292,
+      "eval_samples_per_second": 2.459,
+      "eval_ser": 60.8742526707831,
+      "eval_steps_per_second": 0.615,
+      "eval_wer": 17.160079441586042,
+      "step": 4000
+    },
+    {
+      "epoch": 1.2204366282595513,
+      "grad_norm": 4.492404937744141,
+      "learning_rate": 5.932888619365273e-06,
+      "loss": 0.0894,
+      "step": 4025
+    },
+    {
+      "epoch": 1.2280169799878715,
+      "grad_norm": 3.026043176651001,
+      "learning_rate": 5.907620780270872e-06,
+      "loss": 0.072,
+      "step": 4050
+    },
+    {
+      "epoch": 1.2355973317161917,
+      "grad_norm": 2.404448986053467,
+      "learning_rate": 5.882352941176471e-06,
+      "loss": 0.0769,
+      "step": 4075
+    },
+    {
+      "epoch": 1.2431776834445118,
+      "grad_norm": 5.609960556030273,
+      "learning_rate": 5.8570851020820705e-06,
+      "loss": 0.0617,
+      "step": 4100
+    },
+    {
+      "epoch": 1.250758035172832,
+      "grad_norm": 4.348845481872559,
+      "learning_rate": 5.83181726298767e-06,
+      "loss": 0.0761,
+      "step": 4125
+    },
+    {
+      "epoch": 1.2583383869011522,
+      "grad_norm": 6.77551794052124,
+      "learning_rate": 5.8065494238932696e-06,
+      "loss": 0.0776,
+      "step": 4150
+    },
+    {
+      "epoch": 1.2659187386294724,
+      "grad_norm": 5.368580341339111,
+      "learning_rate": 5.781281584798869e-06,
+      "loss": 0.0677,
+      "step": 4175
+    },
+    {
+      "epoch": 1.2734990903577925,
+      "grad_norm": 6.325013637542725,
+      "learning_rate": 5.756013745704467e-06,
+      "loss": 0.0858,
+      "step": 4200
+    },
+    {
+      "epoch": 1.2810794420861127,
+      "grad_norm": 7.039133548736572,
+      "learning_rate": 5.7307459066100665e-06,
+      "loss": 0.0917,
+      "step": 4225
+    },
+    {
+      "epoch": 1.2886597938144329,
+      "grad_norm": 6.305510520935059,
+      "learning_rate": 5.705478067515666e-06,
+      "loss": 0.0815,
+      "step": 4250
+    },
+    {
+      "epoch": 1.2962401455427532,
+      "grad_norm": 4.5553789138793945,
+      "learning_rate": 5.680210228421266e-06,
+      "loss": 0.0746,
+      "step": 4275
+    },
+    {
+      "epoch": 1.3038204972710734,
+      "grad_norm": 14.23348331451416,
+      "learning_rate": 5.654942389326865e-06,
+      "loss": 0.0635,
+      "step": 4300
+    },
+    {
+      "epoch": 1.3114008489993936,
+      "grad_norm": 4.656774997711182,
+      "learning_rate": 5.629674550232465e-06,
+      "loss": 0.0905,
+      "step": 4325
+    },
+    {
+      "epoch": 1.3189812007277137,
+      "grad_norm": 7.67761754989624,
+      "learning_rate": 5.604406711138064e-06,
+      "loss": 0.0699,
+      "step": 4350
+    },
+    {
+      "epoch": 1.326561552456034,
+      "grad_norm": 3.044973850250244,
+      "learning_rate": 5.579138872043664e-06,
+      "loss": 0.0684,
+      "step": 4375
+    },
+    {
+      "epoch": 1.334141904184354,
+      "grad_norm": 12.772285461425781,
+      "learning_rate": 5.553871032949263e-06,
+      "loss": 0.0832,
+      "step": 4400
+    },
+    {
+      "epoch": 1.3417222559126745,
+      "grad_norm": 4.697045803070068,
+      "learning_rate": 5.528603193854862e-06,
+      "loss": 0.0841,
+      "step": 4425
+    },
+    {
+      "epoch": 1.3493026076409946,
+      "grad_norm": 3.967209815979004,
+      "learning_rate": 5.5033353547604615e-06,
+      "loss": 0.0653,
+      "step": 4450
+    },
+    {
+      "epoch": 1.3568829593693148,
+      "grad_norm": 2.5490405559539795,
+      "learning_rate": 5.478067515666061e-06,
+      "loss": 0.0805,
+      "step": 4475
+    },
+    {
+      "epoch": 1.364463311097635,
+      "grad_norm": 7.244118690490723,
+      "learning_rate": 5.45279967657166e-06,
+      "loss": 0.0888,
+      "step": 4500
+    },
+    {
+      "epoch": 1.364463311097635,
+      "eval_cer": 4.486444392601671,
+      "eval_loss": 0.2091592252254486,
+      "eval_runtime": 4167.1809,
+      "eval_samples_per_second": 2.448,
+      "eval_ser": 60.394001764187,
+      "eval_steps_per_second": 0.612,
+      "eval_wer": 17.352876273214015,
+      "step": 4500
+    },
+    {
+      "epoch": 1.3720436628259551,
+      "grad_norm": 3.822779655456543,
+      "learning_rate": 5.427531837477259e-06,
+      "loss": 0.0703,
+      "step": 4525
+    },
+    {
+      "epoch": 1.3796240145542753,
+      "grad_norm": 4.564328193664551,
+      "learning_rate": 5.402263998382858e-06,
+      "loss": 0.0608,
+      "step": 4550
+    },
+    {
+      "epoch": 1.3872043662825955,
+      "grad_norm": 1.9041502475738525,
+      "learning_rate": 5.3769961592884576e-06,
+      "loss": 0.0633,
+      "step": 4575
+    },
+    {
+      "epoch": 1.3947847180109156,
+      "grad_norm": 3.6892504692077637,
+      "learning_rate": 5.351728320194057e-06,
+      "loss": 0.0703,
+      "step": 4600
+    },
+    {
+      "epoch": 1.4023650697392358,
+      "grad_norm": 1.5316110849380493,
+      "learning_rate": 5.326460481099657e-06,
+      "loss": 0.0699,
+      "step": 4625
+    },
+    {
+      "epoch": 1.409945421467556,
+      "grad_norm": 4.096865653991699,
+      "learning_rate": 5.301192642005256e-06,
+      "loss": 0.0713,
+      "step": 4650
+    },
+    {
+      "epoch": 1.4175257731958764,
+      "grad_norm": 4.801632404327393,
+      "learning_rate": 5.275924802910856e-06,
+      "loss": 0.0678,
+      "step": 4675
+    },
+    {
+      "epoch": 1.4251061249241965,
+      "grad_norm": 7.240773677825928,
+      "learning_rate": 5.250656963816455e-06,
+      "loss": 0.0683,
+      "step": 4700
+    },
+    {
+      "epoch": 1.4326864766525167,
+      "grad_norm": 5.203670978546143,
+      "learning_rate": 5.225389124722055e-06,
+      "loss": 0.087,
+      "step": 4725
+    },
+    {
+      "epoch": 1.4402668283808369,
+      "grad_norm": 5.950301170349121,
+      "learning_rate": 5.2001212856276535e-06,
+      "loss": 0.0824,
+      "step": 4750
+    },
+    {
+      "epoch": 1.447847180109157,
+      "grad_norm": 8.965677261352539,
+      "learning_rate": 5.174853446533253e-06,
+      "loss": 0.0705,
+      "step": 4775
+    },
+    {
+      "epoch": 1.4554275318374772,
+      "grad_norm": 4.188201427459717,
+      "learning_rate": 5.149585607438852e-06,
+      "loss": 0.0605,
+      "step": 4800
+    },
+    {
+      "epoch": 1.4630078835657976,
+      "grad_norm": 5.050042152404785,
+      "learning_rate": 5.124317768344451e-06,
+      "loss": 0.0743,
+      "step": 4825
+    },
+    {
+      "epoch": 1.4705882352941178,
+      "grad_norm": 8.579322814941406,
+      "learning_rate": 5.099049929250051e-06,
+      "loss": 0.0725,
+      "step": 4850
+    },
+    {
+      "epoch": 1.478168587022438,
+      "grad_norm": 3.81740140914917,
+      "learning_rate": 5.07378209015565e-06,
+      "loss": 0.0585,
+      "step": 4875
+    },
+    {
+      "epoch": 1.485748938750758,
+      "grad_norm": 2.082289218902588,
+      "learning_rate": 5.048514251061249e-06,
+      "loss": 0.0766,
+      "step": 4900
+    },
+    {
+      "epoch": 1.4933292904790783,
+      "grad_norm": 6.351588249206543,
+      "learning_rate": 5.023246411966849e-06,
+      "loss": 0.0746,
+      "step": 4925
+    },
+    {
+      "epoch": 1.5009096422073984,
+      "grad_norm": 3.2933731079101562,
+      "learning_rate": 4.997978572872448e-06,
+      "loss": 0.0762,
+      "step": 4950
+    },
+    {
+      "epoch": 1.5084899939357186,
+      "grad_norm": 2.749415874481201,
+      "learning_rate": 4.972710733778048e-06,
+      "loss": 0.0872,
+      "step": 4975
+    },
+    {
+      "epoch": 1.5160703456640388,
+      "grad_norm": 3.414822578430176,
+      "learning_rate": 4.947442894683647e-06,
+      "loss": 0.069,
+      "step": 5000
+    },
+    {
+      "epoch": 1.5160703456640388,
+      "eval_cer": 4.46672953515652,
+      "eval_loss": 0.2117619663476944,
+      "eval_runtime": 4150.2171,
+      "eval_samples_per_second": 2.458,
+      "eval_ser": 60.15877683034402,
+      "eval_steps_per_second": 0.615,
+      "eval_wer": 17.157756588192935,
+      "step": 5000
+    },
+    {
+      "epoch": 1.523650697392359,
+      "grad_norm": 3.9905097484588623,
+      "learning_rate": 4.922175055589247e-06,
+      "loss": 0.0647,
+      "step": 5025
+    },
+    {
+      "epoch": 1.531231049120679,
+      "grad_norm": 6.00367546081543,
+      "learning_rate": 4.8969072164948455e-06,
+      "loss": 0.0609,
+      "step": 5050
+    },
+    {
+      "epoch": 1.5388114008489993,
+      "grad_norm": 3.5311403274536133,
+      "learning_rate": 4.871639377400445e-06,
+      "loss": 0.0682,
+      "step": 5075
+    },
+    {
+      "epoch": 1.5463917525773194,
+      "grad_norm": 4.727973461151123,
+      "learning_rate": 4.846371538306045e-06,
+      "loss": 0.0649,
+      "step": 5100
+    },
+    {
+      "epoch": 1.5539721043056398,
+      "grad_norm": 5.63254976272583,
+      "learning_rate": 4.821103699211644e-06,
+      "loss": 0.0774,
+      "step": 5125
+    },
+    {
+      "epoch": 1.56155245603396,
+      "grad_norm": 2.976087808609009,
+      "learning_rate": 4.795835860117244e-06,
+      "loss": 0.0711,
+      "step": 5150
+    },
+    {
+      "epoch": 1.5691328077622801,
+      "grad_norm": 4.30213737487793,
+      "learning_rate": 4.770568021022842e-06,
+      "loss": 0.0726,
+      "step": 5175
+    },
+    {
+      "epoch": 1.5767131594906003,
+      "grad_norm": 4.121530055999756,
+      "learning_rate": 4.745300181928442e-06,
+      "loss": 0.0676,
+      "step": 5200
+    },
+    {
+      "epoch": 1.5842935112189207,
+      "grad_norm": 3.224336624145508,
+      "learning_rate": 4.7200323428340415e-06,
+      "loss": 0.0708,
+      "step": 5225
+    },
+    {
+      "epoch": 1.5918738629472409,
+      "grad_norm": 4.8691935539245605,
+      "learning_rate": 4.69476450373964e-06,
+      "loss": 0.0829,
+      "step": 5250
+    },
+    {
+      "epoch": 1.599454214675561,
+      "grad_norm": 5.627283573150635,
+      "learning_rate": 4.66949666464524e-06,
+      "loss": 0.0676,
+      "step": 5275
+    },
+    {
+      "epoch": 1.6070345664038812,
+      "grad_norm": 3.1544229984283447,
+      "learning_rate": 4.644228825550839e-06,
+      "loss": 0.0699,
+      "step": 5300
+    },
+    {
+      "epoch": 1.6146149181322014,
+      "grad_norm": 3.1078245639801025,
+      "learning_rate": 4.618960986456439e-06,
+      "loss": 0.0791,
+      "step": 5325
+    },
+    {
+      "epoch": 1.6221952698605215,
+      "grad_norm": 3.3688204288482666,
+      "learning_rate": 4.5936931473620375e-06,
+      "loss": 0.0688,
+      "step": 5350
+    },
+    {
+      "epoch": 1.6297756215888417,
+      "grad_norm": 4.0804524421691895,
+      "learning_rate": 4.568425308267637e-06,
+      "loss": 0.0778,
+      "step": 5375
+    },
+    {
+      "epoch": 1.6373559733171619,
+      "grad_norm": 3.7207510471343994,
+      "learning_rate": 4.543157469173237e-06,
+      "loss": 0.0642,
+      "step": 5400
+    },
+    {
+      "epoch": 1.644936325045482,
+      "grad_norm": 4.2266316413879395,
+      "learning_rate": 4.517889630078836e-06,
+      "loss": 0.0736,
+      "step": 5425
+    },
+    {
+      "epoch": 1.6525166767738022,
+      "grad_norm": 6.174389839172363,
+      "learning_rate": 4.492621790984436e-06,
+      "loss": 0.0825,
+      "step": 5450
+    },
+    {
+      "epoch": 1.6600970285021224,
+      "grad_norm": 5.419666290283203,
+      "learning_rate": 4.467353951890035e-06,
+      "loss": 0.0708,
+      "step": 5475
+    },
+    {
+      "epoch": 1.6676773802304425,
+      "grad_norm": 3.7497785091400146,
+      "learning_rate": 4.442086112795634e-06,
+      "loss": 0.0609,
+      "step": 5500
+    },
+    {
+      "epoch": 1.6676773802304425,
+      "eval_cer": 4.4297641774468595,
+      "eval_loss": 0.20770902931690216,
+      "eval_runtime": 4161.696,
+      "eval_samples_per_second": 2.452,
+      "eval_ser": 59.33548956189356,
+      "eval_steps_per_second": 0.613,
+      "eval_wer": 16.85462422039233,
+      "step": 5500
+    },
+    {
+      "epoch": 1.675257731958763,
+      "grad_norm": 2.9338574409484863,
+      "learning_rate": 4.4168182737012335e-06,
+      "loss": 0.0667,
+      "step": 5525
+    },
+    {
+      "epoch": 1.682838083687083,
+      "grad_norm": 2.5198843479156494,
+      "learning_rate": 4.391550434606833e-06,
+      "loss": 0.0676,
+      "step": 5550
+    },
+    {
+      "epoch": 1.6904184354154033,
+      "grad_norm": 5.370730876922607,
+      "learning_rate": 4.366282595512433e-06,
+      "loss": 0.0786,
+      "step": 5575
+    },
+    {
+      "epoch": 1.6979987871437234,
+      "grad_norm": 3.7155959606170654,
+      "learning_rate": 4.341014756418031e-06,
+      "loss": 0.0713,
+      "step": 5600
+    },
+    {
+      "epoch": 1.7055791388720438,
+      "grad_norm": 5.575277805328369,
+      "learning_rate": 4.315746917323631e-06,
+      "loss": 0.0708,
+      "step": 5625
+    },
+    {
+      "epoch": 1.713159490600364,
+      "grad_norm": 2.6846461296081543,
+      "learning_rate": 4.2904790782292295e-06,
+      "loss": 0.0681,
+      "step": 5650
+    },
+    {
+      "epoch": 1.7207398423286842,
+      "grad_norm": 6.605522632598877,
+      "learning_rate": 4.265211239134829e-06,
+      "loss": 0.0604,
+      "step": 5675
+    },
+    {
+      "epoch": 1.7283201940570043,
+      "grad_norm": 9.453361511230469,
+      "learning_rate": 4.239943400040429e-06,
+      "loss": 0.0795,
+      "step": 5700
+    },
+    {
+      "epoch": 1.7359005457853245,
+      "grad_norm": 3.2720046043395996,
+      "learning_rate": 4.214675560946028e-06,
+      "loss": 0.0717,
+      "step": 5725
+    },
+    {
+      "epoch": 1.7434808975136447,
+      "grad_norm": 4.286426544189453,
+      "learning_rate": 4.189407721851628e-06,
+      "loss": 0.0721,
+      "step": 5750
+    },
+    {
+      "epoch": 1.7510612492419648,
+      "grad_norm": 4.679434776306152,
+      "learning_rate": 4.164139882757227e-06,
+      "loss": 0.0718,
+      "step": 5775
+    },
+    {
+      "epoch": 1.758641600970285,
+      "grad_norm": 4.515007972717285,
+      "learning_rate": 4.138872043662826e-06,
+      "loss": 0.0665,
+      "step": 5800
+    },
+    {
+      "epoch": 1.7662219526986052,
+      "grad_norm": 4.324512958526611,
+      "learning_rate": 4.1136042045684255e-06,
+      "loss": 0.0692,
+      "step": 5825
+    },
+    {
+      "epoch": 1.7738023044269253,
+      "grad_norm": 4.820830821990967,
+      "learning_rate": 4.088336365474025e-06,
+      "loss": 0.058,
+      "step": 5850
+    },
+    {
+      "epoch": 1.7813826561552455,
+      "grad_norm": 4.152068614959717,
+      "learning_rate": 4.0630685263796246e-06,
+      "loss": 0.0596,
+      "step": 5875
+    },
+    {
+      "epoch": 1.7889630078835657,
+      "grad_norm": 7.0391082763671875,
+      "learning_rate": 4.037800687285224e-06,
+      "loss": 0.0638,
+      "step": 5900
+    },
+    {
+      "epoch": 1.7965433596118858,
+      "grad_norm": 4.026524066925049,
+      "learning_rate": 4.012532848190823e-06,
+      "loss": 0.0704,
+      "step": 5925
+    },
+    {
+      "epoch": 1.8041237113402062,
+      "grad_norm": 5.237268447875977,
+      "learning_rate": 3.987265009096422e-06,
+      "loss": 0.0721,
+      "step": 5950
+    },
+    {
+      "epoch": 1.8117040630685264,
+      "grad_norm": 3.4499592781066895,
+      "learning_rate": 3.961997170002022e-06,
+      "loss": 0.0705,
+      "step": 5975
+    },
+    {
+      "epoch": 1.8192844147968465,
+      "grad_norm": 5.843986511230469,
+      "learning_rate": 3.936729330907621e-06,
+      "loss": 0.0721,
+      "step": 6000
+    },
+    {
+      "epoch": 1.8192844147968465,
+      "eval_cer": 4.3441688380391605,
+      "eval_loss": 0.20601269602775574,
+      "eval_runtime": 4156.9236,
+      "eval_samples_per_second": 2.454,
+      "eval_ser": 58.659217877094974,
+      "eval_steps_per_second": 0.614,
+      "eval_wer": 16.552653279288275,
+      "step": 6000
+    },
+    {
+      "epoch": 1.8268647665251667,
+      "grad_norm": 4.0732831954956055,
+      "learning_rate": 3.91146149181322e-06,
+      "loss": 0.0694,
+      "step": 6025
+    },
+    {
+      "epoch": 1.834445118253487,
+      "grad_norm": 3.2202863693237305,
+      "learning_rate": 3.88619365271882e-06,
+      "loss": 0.0724,
+      "step": 6050
+    },
+    {
+      "epoch": 1.8420254699818073,
+      "grad_norm": 5.942609786987305,
+      "learning_rate": 3.860925813624419e-06,
+      "loss": 0.0717,
+      "step": 6075
+    },
+    {
+      "epoch": 1.8496058217101274,
+      "grad_norm": 4.279210090637207,
+      "learning_rate": 3.835657974530019e-06,
+      "loss": 0.0715,
+      "step": 6100
+    },
+    {
+      "epoch": 1.8571861734384476,
+      "grad_norm": 3.8644626140594482,
+      "learning_rate": 3.8103901354356175e-06,
+      "loss": 0.0739,
+      "step": 6125
+    },
+    {
+      "epoch": 1.8647665251667678,
+      "grad_norm": 7.767407417297363,
+      "learning_rate": 3.785122296341217e-06,
+      "loss": 0.0689,
+      "step": 6150
+    },
+    {
+      "epoch": 1.872346876895088,
+      "grad_norm": 6.898746967315674,
+      "learning_rate": 3.7598544572468166e-06,
+      "loss": 0.0834,
+      "step": 6175
+    },
+    {
+      "epoch": 1.879927228623408,
+      "grad_norm": 3.7618629932403564,
+      "learning_rate": 3.734586618152416e-06,
+      "loss": 0.067,
+      "step": 6200
+    },
+    {
+      "epoch": 1.8875075803517283,
+      "grad_norm": 5.345553398132324,
+      "learning_rate": 3.7093187790580152e-06,
+      "loss": 0.0807,
+      "step": 6225
+    },
+    {
+      "epoch": 1.8950879320800484,
+      "grad_norm": 1.9484589099884033,
+      "learning_rate": 3.6840509399636148e-06,
+      "loss": 0.0577,
+      "step": 6250
+    },
+    {
+      "epoch": 1.9026682838083686,
+      "grad_norm": 8.23530101776123,
+      "learning_rate": 3.658783100869214e-06,
+      "loss": 0.0668,
+      "step": 6275
+    },
+    {
+      "epoch": 1.9102486355366888,
+      "grad_norm": 3.302901029586792,
+      "learning_rate": 3.633515261774813e-06,
+      "loss": 0.0712,
+      "step": 6300
+    },
+    {
+      "epoch": 1.917828987265009,
+      "grad_norm": 6.6083855628967285,
+      "learning_rate": 3.6082474226804126e-06,
+      "loss": 0.0784,
+      "step": 6325
+    },
+    {
+      "epoch": 1.9254093389933293,
+      "grad_norm": 4.849329948425293,
+      "learning_rate": 3.582979583586012e-06,
+      "loss": 0.0578,
+      "step": 6350
+    },
+    {
+      "epoch": 1.9329896907216495,
+      "grad_norm": 3.2557804584503174,
+      "learning_rate": 3.5577117444916117e-06,
+      "loss": 0.062,
+      "step": 6375
+    },
+    {
+      "epoch": 1.9405700424499697,
+      "grad_norm": 4.66004753112793,
+      "learning_rate": 3.5324439053972108e-06,
+      "loss": 0.0652,
+      "step": 6400
+    },
+    {
+      "epoch": 1.9481503941782898,
+      "grad_norm": 3.7304911613464355,
+      "learning_rate": 3.50717606630281e-06,
+      "loss": 0.0733,
+      "step": 6425
+    },
+    {
+      "epoch": 1.9557307459066102,
+      "grad_norm": 6.284624099731445,
+      "learning_rate": 3.4819082272084094e-06,
+      "loss": 0.0749,
+      "step": 6450
+    },
+    {
+      "epoch": 1.9633110976349304,
+      "grad_norm": 5.241745948791504,
+      "learning_rate": 3.4566403881140086e-06,
+      "loss": 0.072,
+      "step": 6475
+    },
+    {
+      "epoch": 1.9708914493632506,
+      "grad_norm": 4.935563087463379,
+      "learning_rate": 3.431372549019608e-06,
+      "loss": 0.0681,
+      "step": 6500
+    },
+    {
+      "epoch": 1.9708914493632506,
+      "eval_cer": 4.328396952083039,
+      "eval_loss": 0.20379287004470825,
+      "eval_runtime": 4180.665,
+      "eval_samples_per_second": 2.441,
+      "eval_ser": 58.16916593158875,
+      "eval_steps_per_second": 0.61,
+      "eval_wer": 16.3575335942672,
+      "step": 6500
+    },
+    {
+      "epoch": 1.9784718010915707,
+      "grad_norm": 1.918434739112854,
+      "learning_rate": 3.4061047099252077e-06,
+      "loss": 0.0314,
+      "step": 6525
+    },
+    {
+      "epoch": 1.986052152819891,
+      "grad_norm": 4.31190299987793,
+      "learning_rate": 3.380836870830807e-06,
+      "loss": 0.0266,
+      "step": 6550
+    },
+    {
+      "epoch": 1.993632504548211,
+      "grad_norm": 3.206461191177368,
+      "learning_rate": 3.355569031736406e-06,
+      "loss": 0.0286,
+      "step": 6575
+    },
+    {
+      "epoch": 2.0012128562765312,
+      "grad_norm": 1.4688981771469116,
+      "learning_rate": 3.3303011926420054e-06,
+      "loss": 0.0254,
+      "step": 6600
+    },
+    {
+      "epoch": 2.0087932080048514,
+      "grad_norm": 2.9358630180358887,
+      "learning_rate": 3.305033353547605e-06,
+      "loss": 0.0298,
+      "step": 6625
+    },
+    {
+      "epoch": 2.0163735597331716,
+      "grad_norm": 2.1530213356018066,
+      "learning_rate": 3.279765514453204e-06,
+      "loss": 0.0311,
+      "step": 6650
+    },
+    {
+      "epoch": 2.0239539114614917,
+      "grad_norm": 18.083703994750977,
+      "learning_rate": 3.2544976753588036e-06,
+      "loss": 0.0328,
+      "step": 6675
+    },
+    {
+      "epoch": 2.031534263189812,
+      "grad_norm": 3.114184856414795,
+      "learning_rate": 3.229229836264403e-06,
+      "loss": 0.0278,
+      "step": 6700
+    },
+    {
+      "epoch": 2.039114614918132,
+      "grad_norm": 6.7866106033325195,
+      "learning_rate": 3.2039619971700027e-06,
+      "loss": 0.0259,
+      "step": 6725
+    },
+    {
+      "epoch": 2.0466949666464522,
+      "grad_norm": 2.4553844928741455,
+      "learning_rate": 3.1786941580756014e-06,
+      "loss": 0.0273,
+      "step": 6750
+    },
+    {
+      "epoch": 2.0542753183747724,
+      "grad_norm": 3.798393726348877,
+      "learning_rate": 3.153426318981201e-06,
+      "loss": 0.0318,
+      "step": 6775
+    },
+    {
+      "epoch": 2.0618556701030926,
+      "grad_norm": 6.048929691314697,
+      "learning_rate": 3.1281584798868005e-06,
+      "loss": 0.034,
+      "step": 6800
+    },
+    {
+      "epoch": 2.069436021831413,
+      "grad_norm": 0.9682230949401855,
+      "learning_rate": 3.1028906407923996e-06,
+      "loss": 0.0355,
+      "step": 6825
+    },
+    {
+      "epoch": 2.0770163735597333,
+      "grad_norm": 0.7081900835037231,
+      "learning_rate": 3.077622801697999e-06,
+      "loss": 0.0257,
+      "step": 6850
+    },
+    {
+      "epoch": 2.0845967252880535,
+      "grad_norm": 3.3265202045440674,
+      "learning_rate": 3.0523549626035987e-06,
+      "loss": 0.0257,
+      "step": 6875
+    },
+    {
+      "epoch": 2.0921770770163737,
+      "grad_norm": 1.3119407892227173,
+      "learning_rate": 3.0270871235091974e-06,
+      "loss": 0.0263,
+      "step": 6900
+    },
+    {
+      "epoch": 2.099757428744694,
+      "grad_norm": 3.3000783920288086,
+      "learning_rate": 3.001819284414797e-06,
+      "loss": 0.0273,
+      "step": 6925
+    },
+    {
+      "epoch": 2.107337780473014,
+      "grad_norm": 1.735640048980713,
+      "learning_rate": 2.9765514453203965e-06,
+      "loss": 0.0314,
+      "step": 6950
+    },
+    {
+      "epoch": 2.114918132201334,
+      "grad_norm": 4.68803596496582,
+      "learning_rate": 2.951283606225996e-06,
+      "loss": 0.0338,
+      "step": 6975
+    },
+    {
+      "epoch": 2.1224984839296543,
+      "grad_norm": 3.5388286113739014,
+      "learning_rate": 2.926015767131595e-06,
+      "loss": 0.0322,
+      "step": 7000
+    },
+    {
+      "epoch": 2.1224984839296543,
+      "eval_cer": 4.27089528453468,
+      "eval_loss": 0.21301127970218658,
+      "eval_runtime": 3826.4362,
+      "eval_samples_per_second": 2.666,
+      "eval_ser": 57.777124375183774,
+      "eval_steps_per_second": 0.667,
+      "eval_wer": 16.280879432294633,
+      "step": 7000
+    },
+    {
+      "epoch": 2.1300788356579745,
+      "grad_norm": 5.576068878173828,
+      "learning_rate": 2.9007479280371947e-06,
+      "loss": 0.0284,
+      "step": 7025
+    },
+    {
+      "epoch": 2.1376591873862947,
+      "grad_norm": 1.70852792263031,
+      "learning_rate": 2.8754800889427934e-06,
+      "loss": 0.0247,
+      "step": 7050
+    },
+    {
+      "epoch": 2.145239539114615,
+      "grad_norm": 3.2939512729644775,
+      "learning_rate": 2.850212249848393e-06,
+      "loss": 0.0252,
+      "step": 7075
+    },
+    {
+      "epoch": 2.152819890842935,
+      "grad_norm": 0.9231658577919006,
+      "learning_rate": 2.8249444107539925e-06,
+      "loss": 0.0288,
+      "step": 7100
+    },
+    {
+      "epoch": 2.160400242571255,
+      "grad_norm": 5.767349720001221,
+      "learning_rate": 2.799676571659592e-06,
+      "loss": 0.0294,
+      "step": 7125
+    },
+    {
+      "epoch": 2.1679805942995753,
+      "grad_norm": 3.638855457305908,
+      "learning_rate": 2.774408732565191e-06,
+      "loss": 0.0269,
+      "step": 7150
+    },
+    {
+      "epoch": 2.1755609460278955,
+      "grad_norm": 4.53891658782959,
+      "learning_rate": 2.7491408934707907e-06,
+      "loss": 0.0289,
+      "step": 7175
+    },
+    {
+      "epoch": 2.1831412977562157,
+      "grad_norm": 0.5863853693008423,
+      "learning_rate": 2.72387305437639e-06,
+      "loss": 0.0247,
+      "step": 7200
+    },
+    {
+      "epoch": 2.1907216494845363,
+      "grad_norm": 3.777498483657837,
+      "learning_rate": 2.698605215281989e-06,
+      "loss": 0.0234,
+      "step": 7225
+    },
+    {
+      "epoch": 2.1983020012128565,
+      "grad_norm": 2.23175048828125,
+      "learning_rate": 2.6733373761875885e-06,
+      "loss": 0.0314,
+      "step": 7250
+    },
+    {
+      "epoch": 2.2058823529411766,
+      "grad_norm": 3.1541337966918945,
+      "learning_rate": 2.648069537093188e-06,
+      "loss": 0.0311,
+      "step": 7275
+    },
+    {
+      "epoch": 2.213462704669497,
+      "grad_norm": 2.6496334075927734,
+      "learning_rate": 2.6228016979987876e-06,
+      "loss": 0.0351,
+      "step": 7300
+    },
+    {
+      "epoch": 2.221043056397817,
+      "grad_norm": 1.7922499179840088,
+      "learning_rate": 2.5975338589043867e-06,
+      "loss": 0.0211,
+      "step": 7325
+    },
+    {
+      "epoch": 2.228623408126137,
+      "grad_norm": 5.5097222328186035,
+      "learning_rate": 2.572266019809986e-06,
+      "loss": 0.0302,
+      "step": 7350
+    },
+    {
+      "epoch": 2.2362037598544573,
+      "grad_norm": 2.997144937515259,
+      "learning_rate": 2.5469981807155854e-06,
+      "loss": 0.0296,
+      "step": 7375
+    },
+    {
+      "epoch": 2.2437841115827775,
+      "grad_norm": 1.941422462463379,
+      "learning_rate": 2.5217303416211845e-06,
+      "loss": 0.0244,
+      "step": 7400
+    },
+    {
+      "epoch": 2.2513644633110976,
+      "grad_norm": 1.389489769935608,
+      "learning_rate": 2.496462502526784e-06,
+      "loss": 0.0308,
+      "step": 7425
+    },
+    {
+      "epoch": 2.258944815039418,
+      "grad_norm": 1.393212914466858,
+      "learning_rate": 2.4711946634323836e-06,
+      "loss": 0.0262,
+      "step": 7450
+    },
+    {
+      "epoch": 2.266525166767738,
+      "grad_norm": 2.6350386142730713,
+      "learning_rate": 2.4459268243379827e-06,
+      "loss": 0.0263,
+      "step": 7475
+    },
+    {
+      "epoch": 2.274105518496058,
+      "grad_norm": 3.369213819503784,
+      "learning_rate": 2.4206589852435823e-06,
+      "loss": 0.0277,
+      "step": 7500
+    },
+    {
+      "epoch": 2.274105518496058,
+      "eval_cer": 4.254301946185011,
+      "eval_loss": 0.2150956392288208,
+      "eval_runtime": 3817.2467,
+      "eval_samples_per_second": 2.673,
+      "eval_ser": 57.47329216896991,
+      "eval_steps_per_second": 0.668,
+      "eval_wer": 16.106665427811524,
+      "step": 7500
+    },
+    {
+      "epoch": 2.2816858702243783,
+      "grad_norm": 2.3932759761810303,
+      "learning_rate": 2.395391146149182e-06,
+      "loss": 0.0321,
+      "step": 7525
+    },
+    {
+      "epoch": 2.2892662219526985,
+      "grad_norm": 2.8787713050842285,
+      "learning_rate": 2.370123307054781e-06,
+      "loss": 0.0278,
+      "step": 7550
+    },
+    {
+      "epoch": 2.2968465736810186,
+      "grad_norm": 2.570692539215088,
+      "learning_rate": 2.34485546796038e-06,
+      "loss": 0.0211,
+      "step": 7575
+    },
+    {
+      "epoch": 2.304426925409339,
+      "grad_norm": 2.9834413528442383,
+      "learning_rate": 2.3195876288659796e-06,
+      "loss": 0.0308,
+      "step": 7600
+    },
+    {
+      "epoch": 2.312007277137659,
+      "grad_norm": 3.4857709407806396,
+      "learning_rate": 2.2943197897715787e-06,
+      "loss": 0.0272,
+      "step": 7625
+    },
+    {
+      "epoch": 2.319587628865979,
+      "grad_norm": 4.783783435821533,
+      "learning_rate": 2.2690519506771783e-06,
+      "loss": 0.0248,
+      "step": 7650
+    },
+    {
+      "epoch": 2.3271679805942997,
+      "grad_norm": 3.023923873901367,
+      "learning_rate": 2.243784111582778e-06,
+      "loss": 0.0297,
+      "step": 7675
+    },
+    {
+      "epoch": 2.33474833232262,
+      "grad_norm": 1.8888705968856812,
+      "learning_rate": 2.218516272488377e-06,
+      "loss": 0.0291,
+      "step": 7700
+    },
+    {
+      "epoch": 2.34232868405094,
+      "grad_norm": 2.11702561378479,
+      "learning_rate": 2.1932484333939765e-06,
+      "loss": 0.0271,
+      "step": 7725
+    },
+    {
+      "epoch": 2.3499090357792602,
+      "grad_norm": 2.8734652996063232,
+      "learning_rate": 2.1679805942995756e-06,
+      "loss": 0.0309,
+      "step": 7750
+    },
+    {
+      "epoch": 2.3574893875075804,
+      "grad_norm": 1.2483388185501099,
+      "learning_rate": 2.1427127552051747e-06,
+      "loss": 0.0273,
+      "step": 7775
+    },
+    {
+      "epoch": 2.3650697392359006,
+      "grad_norm": 1.2977802753448486,
+      "learning_rate": 2.1174449161107743e-06,
+      "loss": 0.0302,
+      "step": 7800
+    },
+    {
+      "epoch": 2.3726500909642207,
+      "grad_norm": 3.370899200439453,
+      "learning_rate": 2.092177077016374e-06,
+      "loss": 0.0268,
+      "step": 7825
+    },
+    {
+      "epoch": 2.380230442692541,
+      "grad_norm": 2.3007266521453857,
+      "learning_rate": 2.066909237921973e-06,
+      "loss": 0.0265,
+      "step": 7850
+    },
+    {
+      "epoch": 2.387810794420861,
+      "grad_norm": 3.0940144062042236,
+      "learning_rate": 2.0416413988275725e-06,
+      "loss": 0.0221,
+      "step": 7875
+    },
+    {
+      "epoch": 2.3953911461491812,
+      "grad_norm": 2.137110948562622,
+      "learning_rate": 2.016373559733172e-06,
+      "loss": 0.0273,
+      "step": 7900
+    },
+    {
+      "epoch": 2.4029714978775014,
+      "grad_norm": 3.142803430557251,
+      "learning_rate": 1.991105720638771e-06,
+      "loss": 0.0309,
+      "step": 7925
+    },
+    {
+      "epoch": 2.4105518496058216,
+      "grad_norm": 3.708592176437378,
+      "learning_rate": 1.9658378815443703e-06,
+      "loss": 0.0269,
+      "step": 7950
+    },
+    {
+      "epoch": 2.4181322013341418,
+      "grad_norm": 2.705143451690674,
+      "learning_rate": 1.94057004244997e-06,
+      "loss": 0.0284,
+      "step": 7975
+    },
+    {
+      "epoch": 2.425712553062462,
+      "grad_norm": 2.2267937660217285,
+      "learning_rate": 1.9153022033555693e-06,
+      "loss": 0.0249,
+      "step": 8000
+    },
+    {
+      "epoch": 2.425712553062462,
+      "eval_cer": 4.251344717568238,
+      "eval_loss": 0.21296031773090363,
+      "eval_runtime": 3956.9891,
+      "eval_samples_per_second": 2.578,
+      "eval_ser": 57.463491130059786,
+      "eval_steps_per_second": 0.645,
+      "eval_wer": 16.07414548030801,
+      "step": 8000
+    },
+    {
+      "epoch": 2.4332929047907825,
+      "grad_norm": 2.44812273979187,
+      "learning_rate": 1.8900343642611685e-06,
+      "loss": 0.0301,
+      "step": 8025
+    },
+    {
+      "epoch": 2.4408732565191027,
+      "grad_norm": 3.240962028503418,
+      "learning_rate": 1.864766525166768e-06,
+      "loss": 0.0315,
+      "step": 8050
+    },
+    {
+      "epoch": 2.448453608247423,
+      "grad_norm": 3.5091423988342285,
+      "learning_rate": 1.8394986860723673e-06,
+      "loss": 0.0218,
+      "step": 8075
+    },
+    {
+      "epoch": 2.456033959975743,
+      "grad_norm": 2.2608911991119385,
+      "learning_rate": 1.8142308469779665e-06,
+      "loss": 0.026,
+      "step": 8100
+    },
+    {
+      "epoch": 2.463614311704063,
+      "grad_norm": 2.7215895652770996,
+      "learning_rate": 1.788963007883566e-06,
+      "loss": 0.0323,
+      "step": 8125
+    },
+    {
+      "epoch": 2.4711946634323834,
+      "grad_norm": 3.6915700435638428,
+      "learning_rate": 1.7636951687891653e-06,
+      "loss": 0.0397,
+      "step": 8150
+    },
+    {
+      "epoch": 2.4787750151607035,
+      "grad_norm": 3.11942720413208,
+      "learning_rate": 1.7384273296947647e-06,
+      "loss": 0.032,
+      "step": 8175
+    },
+    {
+      "epoch": 2.4863553668890237,
+      "grad_norm": 0.9445828795433044,
+      "learning_rate": 1.713159490600364e-06,
+      "loss": 0.0244,
+      "step": 8200
+    },
+    {
+      "epoch": 2.493935718617344,
+      "grad_norm": 2.8565821647644043,
+      "learning_rate": 1.6878916515059636e-06,
+      "loss": 0.0283,
+      "step": 8225
+    },
+    {
+      "epoch": 2.501516070345664,
+      "grad_norm": 0.4366835057735443,
+      "learning_rate": 1.6626238124115627e-06,
+      "loss": 0.0236,
+      "step": 8250
+    },
+    {
+      "epoch": 2.509096422073984,
+      "grad_norm": 2.801251173019409,
+      "learning_rate": 1.637355973317162e-06,
+      "loss": 0.0278,
+      "step": 8275
+    },
+    {
+      "epoch": 2.5166767738023044,
+      "grad_norm": 2.6153385639190674,
+      "learning_rate": 1.6120881342227616e-06,
+      "loss": 0.0274,
+      "step": 8300
+    },
+    {
+      "epoch": 2.5242571255306245,
+      "grad_norm": 4.796694755554199,
+      "learning_rate": 1.5868202951283607e-06,
+      "loss": 0.023,
+      "step": 8325
+    },
+    {
+      "epoch": 2.5318374772589447,
+      "grad_norm": 1.340336799621582,
+      "learning_rate": 1.56155245603396e-06,
+      "loss": 0.0266,
+      "step": 8350
+    },
+    {
+      "epoch": 2.539417828987265,
+      "grad_norm": 2.282335042953491,
+      "learning_rate": 1.5362846169395595e-06,
+      "loss": 0.0221,
+      "step": 8375
+    },
+    {
+      "epoch": 2.546998180715585,
+      "grad_norm": 0.9249318242073059,
+      "learning_rate": 1.5110167778451587e-06,
+      "loss": 0.0222,
+      "step": 8400
+    },
+    {
+      "epoch": 2.554578532443905,
+      "grad_norm": 0.8499120473861694,
+      "learning_rate": 1.4857489387507582e-06,
+      "loss": 0.0219,
+      "step": 8425
+    },
+    {
+      "epoch": 2.5621588841722254,
+      "grad_norm": 2.0028629302978516,
+      "learning_rate": 1.4604810996563575e-06,
+      "loss": 0.0352,
+      "step": 8450
+    },
+    {
+      "epoch": 2.5697392359005455,
+      "grad_norm": 3.0861124992370605,
+      "learning_rate": 1.4352132605619567e-06,
+      "loss": 0.0255,
+      "step": 8475
+    },
+    {
+      "epoch": 2.5773195876288657,
+      "grad_norm": 3.6241636276245117,
+      "learning_rate": 1.4099454214675562e-06,
+      "loss": 0.0234,
+      "step": 8500
+    },
+    {
+      "epoch": 2.5773195876288657,
+      "eval_cer": 4.2832170704379,
+      "eval_loss": 0.21502597630023956,
+      "eval_runtime": 4007.4384,
+      "eval_samples_per_second": 2.546,
+      "eval_ser": 57.6693129471724,
+      "eval_steps_per_second": 0.637,
+      "eval_wer": 16.259973751756657,
+      "step": 8500
+    },
+    {
+      "epoch": 2.5848999393571863,
+      "grad_norm": 3.110015869140625,
+      "learning_rate": 1.3846775823731555e-06,
+      "loss": 0.0286,
+      "step": 8525
+    },
+    {
+      "epoch": 2.5924802910855065,
+      "grad_norm": 2.1836204528808594,
+      "learning_rate": 1.3594097432787549e-06,
+      "loss": 0.0283,
+      "step": 8550
+    },
+    {
+      "epoch": 2.6000606428138267,
+      "grad_norm": 2.07279634475708,
+      "learning_rate": 1.3341419041843542e-06,
+      "loss": 0.0334,
+      "step": 8575
+    },
+    {
+      "epoch": 2.607640994542147,
+      "grad_norm": 3.523423910140991,
+      "learning_rate": 1.3088740650899538e-06,
+      "loss": 0.0281,
+      "step": 8600
+    },
+    {
+      "epoch": 2.615221346270467,
+      "grad_norm": 3.105787992477417,
+      "learning_rate": 1.2836062259955529e-06,
+      "loss": 0.0242,
+      "step": 8625
+    },
+    {
+      "epoch": 2.622801697998787,
+      "grad_norm": 0.8383470177650452,
+      "learning_rate": 1.2583383869011522e-06,
+      "loss": 0.0319,
+      "step": 8650
+    },
+    {
+      "epoch": 2.6303820497271073,
+      "grad_norm": 0.714475691318512,
+      "learning_rate": 1.2330705478067518e-06,
+      "loss": 0.0265,
+      "step": 8675
+    },
+    {
+      "epoch": 2.6379624014554275,
+      "grad_norm": 1.9016785621643066,
+      "learning_rate": 1.207802708712351e-06,
+      "loss": 0.0293,
+      "step": 8700
+    },
+    {
+      "epoch": 2.6455427531837477,
+      "grad_norm": 4.238561153411865,
+      "learning_rate": 1.1825348696179504e-06,
+      "loss": 0.0342,
+      "step": 8725
+    },
+    {
+      "epoch": 2.653123104912068,
+      "grad_norm": 2.495922803878784,
+      "learning_rate": 1.1572670305235498e-06,
+      "loss": 0.0223,
+      "step": 8750
+    },
+    {
+      "epoch": 2.660703456640388,
+      "grad_norm": 2.157742738723755,
+      "learning_rate": 1.131999191429149e-06,
+      "loss": 0.0265,
+      "step": 8775
+    },
+    {
+      "epoch": 2.668283808368708,
+      "grad_norm": 1.7393815517425537,
+      "learning_rate": 1.1067313523347484e-06,
+      "loss": 0.0238,
+      "step": 8800
+    },
+    {
+      "epoch": 2.6758641600970288,
+      "grad_norm": 5.519290924072266,
+      "learning_rate": 1.0814635132403478e-06,
+      "loss": 0.0217,
+      "step": 8825
+    },
+    {
+      "epoch": 2.683444511825349,
+      "grad_norm": 1.7298911809921265,
+      "learning_rate": 1.056195674145947e-06,
+      "loss": 0.0247,
+      "step": 8850
+    },
+    {
+      "epoch": 2.691024863553669,
+      "grad_norm": 1.5079689025878906,
+      "learning_rate": 1.0309278350515464e-06,
+      "loss": 0.0258,
+      "step": 8875
+    },
+    {
+      "epoch": 2.6986052152819893,
+      "grad_norm": 2.1406021118164062,
+      "learning_rate": 1.005659995957146e-06,
+      "loss": 0.0231,
+      "step": 8900
+    },
+    {
+      "epoch": 2.7061855670103094,
+      "grad_norm": 2.1180737018585205,
+      "learning_rate": 9.80392156862745e-07,
+      "loss": 0.0245,
+      "step": 8925
+    },
+    {
+      "epoch": 2.7137659187386296,
+      "grad_norm": 2.1627533435821533,
+      "learning_rate": 9.551243177683444e-07,
+      "loss": 0.0264,
+      "step": 8950
+    },
+    {
+      "epoch": 2.7213462704669498,
+      "grad_norm": 0.6703803539276123,
+      "learning_rate": 9.29856478673944e-07,
+      "loss": 0.0206,
+      "step": 8975
+    },
+    {
+      "epoch": 2.72892662219527,
+      "grad_norm": 3.99841046333313,
+      "learning_rate": 9.045886395795432e-07,
+      "loss": 0.0264,
+      "step": 9000
+    },
+    {
+      "epoch": 2.72892662219527,
+      "eval_cer": 4.264487955865006,
+      "eval_loss": 0.21449251472949982,
+      "eval_runtime": 3978.4945,
+      "eval_samples_per_second": 2.565,
+      "eval_ser": 57.630108791531896,
+      "eval_steps_per_second": 0.641,
+      "eval_wer": 16.115956841383955,
+      "step": 9000
+    },
+    {
+      "epoch": 2.73650697392359,
+      "grad_norm": 4.727873802185059,
+      "learning_rate": 8.793208004851426e-07,
+      "loss": 0.0215,
+      "step": 9025
+    },
+    {
+      "epoch": 2.7440873256519103,
+      "grad_norm": 4.042278289794922,
+      "learning_rate": 8.54052961390742e-07,
+      "loss": 0.0167,
+      "step": 9050
+    },
+    {
+      "epoch": 2.7516676773802304,
+      "grad_norm": 3.561555862426758,
+      "learning_rate": 8.287851222963413e-07,
+      "loss": 0.0318,
+      "step": 9075
+    },
+    {
+      "epoch": 2.7592480291085506,
+      "grad_norm": 2.2994942665100098,
+      "learning_rate": 8.035172832019407e-07,
+      "loss": 0.0263,
+      "step": 9100
+    },
+    {
+      "epoch": 2.7668283808368708,
+      "grad_norm": 1.5986050367355347,
+      "learning_rate": 7.7824944410754e-07,
+      "loss": 0.0232,
+      "step": 9125
+    },
+    {
+      "epoch": 2.774408732565191,
+      "grad_norm": 1.9084292650222778,
+      "learning_rate": 7.529816050131393e-07,
+      "loss": 0.0315,
+      "step": 9150
+    },
+    {
+      "epoch": 2.781989084293511,
+      "grad_norm": 2.2224199771881104,
+      "learning_rate": 7.277137659187387e-07,
+      "loss": 0.0223,
+      "step": 9175
+    },
+    {
+      "epoch": 2.7895694360218313,
+      "grad_norm": 4.254256248474121,
+      "learning_rate": 7.024459268243381e-07,
+      "loss": 0.0214,
+      "step": 9200
+    },
+    {
+      "epoch": 2.7971497877501514,
+      "grad_norm": 0.8206575512886047,
+      "learning_rate": 6.771780877299374e-07,
+      "loss": 0.023,
+      "step": 9225
+    },
+    {
+      "epoch": 2.8047301394784716,
+      "grad_norm": 1.8297322988510132,
+      "learning_rate": 6.519102486355368e-07,
+      "loss": 0.0246,
+      "step": 9250
+    },
+    {
+      "epoch": 2.8123104912067918,
+      "grad_norm": 2.382608413696289,
+      "learning_rate": 6.266424095411361e-07,
+      "loss": 0.0317,
+      "step": 9275
+    },
+    {
+      "epoch": 2.819890842935112,
+      "grad_norm": 2.400407075881958,
+      "learning_rate": 6.013745704467355e-07,
+      "loss": 0.0233,
+      "step": 9300
+    },
+    {
+      "epoch": 2.827471194663432,
+      "grad_norm": 1.5915170907974243,
+      "learning_rate": 5.761067313523347e-07,
+      "loss": 0.0185,
+      "step": 9325
+    },
+    {
+      "epoch": 2.8350515463917527,
+      "grad_norm": 0.9242422580718994,
+      "learning_rate": 5.508388922579342e-07,
+      "loss": 0.0157,
+      "step": 9350
+    },
+    {
+      "epoch": 2.842631898120073,
+      "grad_norm": 2.4773428440093994,
+      "learning_rate": 5.255710531635335e-07,
+      "loss": 0.022,
+      "step": 9375
+    },
+    {
+      "epoch": 2.850212249848393,
+      "grad_norm": 1.8242741823196411,
+      "learning_rate": 5.003032140691328e-07,
+      "loss": 0.0228,
+      "step": 9400
+    },
+    {
+      "epoch": 2.857792601576713,
+      "grad_norm": 1.73279869556427,
+      "learning_rate": 4.7503537497473216e-07,
+      "loss": 0.0261,
+      "step": 9425
+    },
+    {
+      "epoch": 2.8653729533050334,
+      "grad_norm": 5.991119384765625,
+      "learning_rate": 4.4976753588033155e-07,
+      "loss": 0.0288,
+      "step": 9450
+    },
+    {
+      "epoch": 2.8729533050333536,
+      "grad_norm": 6.558225154876709,
+      "learning_rate": 4.2449969678593093e-07,
+      "loss": 0.031,
+      "step": 9475
+    },
+    {
+      "epoch": 2.8805336567616737,
+      "grad_norm": 1.9604460000991821,
+      "learning_rate": 3.992318576915302e-07,
+      "loss": 0.0268,
+      "step": 9500
+    },
+    {
+      "epoch": 2.8805336567616737,
+      "eval_cer": 4.232122731559215,
+      "eval_loss": 0.21253998577594757,
+      "eval_runtime": 3873.6751,
+      "eval_samples_per_second": 2.634,
+      "eval_ser": 57.522297363520536,
+      "eval_steps_per_second": 0.659,
+      "eval_wer": 16.040464106107944,
+      "step": 9500
+    },
+    {
+      "epoch": 2.888114008489994,
+      "grad_norm": 0.7039766907691956,
+      "learning_rate": 3.739640185971296e-07,
+      "loss": 0.0336,
+      "step": 9525
+    },
+    {
+      "epoch": 2.895694360218314,
+      "grad_norm": 3.8160667419433594,
+      "learning_rate": 3.48696179502729e-07,
+      "loss": 0.0295,
+      "step": 9550
+    },
+    {
+      "epoch": 2.9032747119466342,
+      "grad_norm": 2.7596523761749268,
+      "learning_rate": 3.234283404083283e-07,
+      "loss": 0.0239,
+      "step": 9575
+    },
+    {
+      "epoch": 2.9108550636749544,
+      "grad_norm": 1.7568339109420776,
+      "learning_rate": 2.9816050131392765e-07,
+      "loss": 0.0344,
+      "step": 9600
+    },
+    {
+      "epoch": 2.9184354154032746,
+      "grad_norm": 4.06329870223999,
+      "learning_rate": 2.7289266221952704e-07,
+      "loss": 0.0246,
+      "step": 9625
+    },
+    {
+      "epoch": 2.926015767131595,
+      "grad_norm": 5.080215930938721,
+      "learning_rate": 2.4762482312512637e-07,
+      "loss": 0.0279,
+      "step": 9650
+    },
+    {
+      "epoch": 2.9335961188599153,
+      "grad_norm": 0.7092571258544922,
+      "learning_rate": 2.2235698403072573e-07,
+      "loss": 0.0287,
+      "step": 9675
+    },
+    {
+      "epoch": 2.9411764705882355,
+      "grad_norm": 4.8213911056518555,
+      "learning_rate": 1.9708914493632506e-07,
+      "loss": 0.0219,
+      "step": 9700
+    },
+    {
+      "epoch": 2.9487568223165557,
+      "grad_norm": 1.9876303672790527,
+      "learning_rate": 1.7182130584192442e-07,
+      "loss": 0.0215,
+      "step": 9725
+    },
+    {
+      "epoch": 2.956337174044876,
+      "grad_norm": 4.70910120010376,
+      "learning_rate": 1.4655346674752375e-07,
+      "loss": 0.0308,
+      "step": 9750
+    },
+    {
+      "epoch": 2.963917525773196,
+      "grad_norm": 3.7995145320892334,
+      "learning_rate": 1.212856276531231e-07,
+      "loss": 0.0231,
+      "step": 9775
+    },
+    {
+      "epoch": 2.971497877501516,
+      "grad_norm": 1.9700251817703247,
+      "learning_rate": 9.601778855872247e-08,
+      "loss": 0.0249,
+      "step": 9800
+    },
+    {
+      "epoch": 2.9790782292298363,
+      "grad_norm": 2.985954761505127,
+      "learning_rate": 7.074994946432182e-08,
+      "loss": 0.0245,
+      "step": 9825
+    },
+    {
+      "epoch": 2.9866585809581565,
+      "grad_norm": 5.655767917633057,
+      "learning_rate": 4.548211036992117e-08,
+      "loss": 0.0287,
+      "step": 9850
+    },
+    {
+      "epoch": 2.9942389326864767,
+      "grad_norm": 2.333650588989258,
+      "learning_rate": 2.021427127552052e-08,
+      "loss": 0.0215,
+      "step": 9875
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 9894,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.283605131272192e+19,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}