Upload 16 files

added_tokens.json

@@ -0,0 +1,1609 @@
+{
+  "<|0.00|>": 50363,
+  "<|0.02|>": 50364,
+  "<|0.04|>": 50365,
+  "<|0.06|>": 50366,
+  "<|0.08|>": 50367,
+  "<|0.10|>": 50368,
+  "<|0.12|>": 50369,
+  "<|0.14|>": 50370,
+  "<|0.16|>": 50371,
+  "<|0.18|>": 50372,
+  "<|0.20|>": 50373,
+  "<|0.22|>": 50374,
+  "<|0.24|>": 50375,
+  "<|0.26|>": 50376,
+  "<|0.28|>": 50377,
+  "<|0.30|>": 50378,
+  "<|0.32|>": 50379,
+  "<|0.34|>": 50380,
+  "<|0.36|>": 50381,
+  "<|0.38|>": 50382,
+  "<|0.40|>": 50383,
+  "<|0.42|>": 50384,
+  "<|0.44|>": 50385,
+  "<|0.46|>": 50386,
+  "<|0.48|>": 50387,
+  "<|0.50|>": 50388,
+  "<|0.52|>": 50389,
+  "<|0.54|>": 50390,
+  "<|0.56|>": 50391,
+  "<|0.58|>": 50392,
+  "<|0.60|>": 50393,
+  "<|0.62|>": 50394,
+  "<|0.64|>": 50395,
+  "<|0.66|>": 50396,
+  "<|0.68|>": 50397,
+  "<|0.70|>": 50398,
+  "<|0.72|>": 50399,
+  "<|0.74|>": 50400,
+  "<|0.76|>": 50401,
+  "<|0.78|>": 50402,
+  "<|0.80|>": 50403,
+  "<|0.82|>": 50404,
+  "<|0.84|>": 50405,
+  "<|0.86|>": 50406,
+  "<|0.88|>": 50407,
+  "<|0.90|>": 50408,
+  "<|0.92|>": 50409,
+  "<|0.94|>": 50410,
+  "<|0.96|>": 50411,
+  "<|0.98|>": 50412,
+  "<|1.00|>": 50413,
+  "<|1.02|>": 50414,
+  "<|1.04|>": 50415,
+  "<|1.06|>": 50416,
+  "<|1.08|>": 50417,
+  "<|1.10|>": 50418,
+  "<|1.12|>": 50419,
+  "<|1.14|>": 50420,
+  "<|1.16|>": 50421,
+  "<|1.18|>": 50422,
+  "<|1.20|>": 50423,
+  "<|1.22|>": 50424,
+  "<|1.24|>": 50425,
+  "<|1.26|>": 50426,
+  "<|1.28|>": 50427,
+  "<|1.30|>": 50428,
+  "<|1.32|>": 50429,
+  "<|1.34|>": 50430,
+  "<|1.36|>": 50431,
+  "<|1.38|>": 50432,
+  "<|1.40|>": 50433,
+  "<|1.42|>": 50434,
+  "<|1.44|>": 50435,
+  "<|1.46|>": 50436,
+  "<|1.48|>": 50437,
+  "<|1.50|>": 50438,
+  "<|1.52|>": 50439,
+  "<|1.54|>": 50440,
+  "<|1.56|>": 50441,
+  "<|1.58|>": 50442,
+  "<|1.60|>": 50443,
+  "<|1.62|>": 50444,
+  "<|1.64|>": 50445,
+  "<|1.66|>": 50446,
+  "<|1.68|>": 50447,
+  "<|1.70|>": 50448,
+  "<|1.72|>": 50449,
+  "<|1.74|>": 50450,
+  "<|1.76|>": 50451,
+  "<|1.78|>": 50452,
+  "<|1.80|>": 50453,
+  "<|1.82|>": 50454,
+  "<|1.84|>": 50455,
+  "<|1.86|>": 50456,
+  "<|1.88|>": 50457,
+  "<|1.90|>": 50458,
+  "<|1.92|>": 50459,
+  "<|1.94|>": 50460,
+  "<|1.96|>": 50461,
+  "<|1.98|>": 50462,
+  "<|10.00|>": 50863,
+  "<|10.02|>": 50864,
+  "<|10.04|>": 50865,
+  "<|10.06|>": 50866,
+  "<|10.08|>": 50867,
+  "<|10.10|>": 50868,
+  "<|10.12|>": 50869,
+  "<|10.14|>": 50870,
+  "<|10.16|>": 50871,
+  "<|10.18|>": 50872,
+  "<|10.20|>": 50873,
+  "<|10.22|>": 50874,
+  "<|10.24|>": 50875,
+  "<|10.26|>": 50876,
+  "<|10.28|>": 50877,
+  "<|10.30|>": 50878,
+  "<|10.32|>": 50879,
+  "<|10.34|>": 50880,
+  "<|10.36|>": 50881,
+  "<|10.38|>": 50882,
+  "<|10.40|>": 50883,
+  "<|10.42|>": 50884,
+  "<|10.44|>": 50885,
+  "<|10.46|>": 50886,
+  "<|10.48|>": 50887,
+  "<|10.50|>": 50888,
+  "<|10.52|>": 50889,
+  "<|10.54|>": 50890,
+  "<|10.56|>": 50891,
+  "<|10.58|>": 50892,
+  "<|10.60|>": 50893,
+  "<|10.62|>": 50894,
+  "<|10.64|>": 50895,
+  "<|10.66|>": 50896,
+  "<|10.68|>": 50897,
+  "<|10.70|>": 50898,
+  "<|10.72|>": 50899,
+  "<|10.74|>": 50900,
+  "<|10.76|>": 50901,
+  "<|10.78|>": 50902,
+  "<|10.80|>": 50903,
+  "<|10.82|>": 50904,
+  "<|10.84|>": 50905,
+  "<|10.86|>": 50906,
+  "<|10.88|>": 50907,
+  "<|10.90|>": 50908,
+  "<|10.92|>": 50909,
+  "<|10.94|>": 50910,
+  "<|10.96|>": 50911,
+  "<|10.98|>": 50912,
+  "<|11.00|>": 50913,
+  "<|11.02|>": 50914,
+  "<|11.04|>": 50915,
+  "<|11.06|>": 50916,
+  "<|11.08|>": 50917,
+  "<|11.10|>": 50918,
+  "<|11.12|>": 50919,
+  "<|11.14|>": 50920,
+  "<|11.16|>": 50921,
+  "<|11.18|>": 50922,
+  "<|11.20|>": 50923,
+  "<|11.22|>": 50924,
+  "<|11.24|>": 50925,
+  "<|11.26|>": 50926,
+  "<|11.28|>": 50927,
+  "<|11.30|>": 50928,
+  "<|11.32|>": 50929,
+  "<|11.34|>": 50930,
+  "<|11.36|>": 50931,
+  "<|11.38|>": 50932,
+  "<|11.40|>": 50933,
+  "<|11.42|>": 50934,
+  "<|11.44|>": 50935,
+  "<|11.46|>": 50936,
+  "<|11.48|>": 50937,
+  "<|11.50|>": 50938,
+  "<|11.52|>": 50939,
+  "<|11.54|>": 50940,
+  "<|11.56|>": 50941,
+  "<|11.58|>": 50942,
+  "<|11.60|>": 50943,
+  "<|11.62|>": 50944,
+  "<|11.64|>": 50945,
+  "<|11.66|>": 50946,
+  "<|11.68|>": 50947,
+  "<|11.70|>": 50948,
+  "<|11.72|>": 50949,
+  "<|11.74|>": 50950,
+  "<|11.76|>": 50951,
+  "<|11.78|>": 50952,
+  "<|11.80|>": 50953,
+  "<|11.82|>": 50954,
+  "<|11.84|>": 50955,
+  "<|11.86|>": 50956,
+  "<|11.88|>": 50957,
+  "<|11.90|>": 50958,
+  "<|11.92|>": 50959,
+  "<|11.94|>": 50960,
+  "<|11.96|>": 50961,
+  "<|11.98|>": 50962,
+  "<|12.00|>": 50963,
+  "<|12.02|>": 50964,
+  "<|12.04|>": 50965,
+  "<|12.06|>": 50966,
+  "<|12.08|>": 50967,
+  "<|12.10|>": 50968,
+  "<|12.12|>": 50969,
+  "<|12.14|>": 50970,
+  "<|12.16|>": 50971,
+  "<|12.18|>": 50972,
+  "<|12.20|>": 50973,
+  "<|12.22|>": 50974,
+  "<|12.24|>": 50975,
+  "<|12.26|>": 50976,
+  "<|12.28|>": 50977,
+  "<|12.30|>": 50978,
+  "<|12.32|>": 50979,
+  "<|12.34|>": 50980,
+  "<|12.36|>": 50981,
+  "<|12.38|>": 50982,
+  "<|12.40|>": 50983,
+  "<|12.42|>": 50984,
+  "<|12.44|>": 50985,
+  "<|12.46|>": 50986,
+  "<|12.48|>": 50987,
+  "<|12.50|>": 50988,
+  "<|12.52|>": 50989,
+  "<|12.54|>": 50990,
+  "<|12.56|>": 50991,
+  "<|12.58|>": 50992,
+  "<|12.60|>": 50993,
+  "<|12.62|>": 50994,
+  "<|12.64|>": 50995,
+  "<|12.66|>": 50996,
+  "<|12.68|>": 50997,
+  "<|12.70|>": 50998,
+  "<|12.72|>": 50999,
+  "<|12.74|>": 51000,
+  "<|12.76|>": 51001,
+  "<|12.78|>": 51002,
+  "<|12.80|>": 51003,
+  "<|12.82|>": 51004,
+  "<|12.84|>": 51005,
+  "<|12.86|>": 51006,
+  "<|12.88|>": 51007,
+  "<|12.90|>": 51008,
+  "<|12.92|>": 51009,
+  "<|12.94|>": 51010,
+  "<|12.96|>": 51011,
+  "<|12.98|>": 51012,
+  "<|13.00|>": 51013,
+  "<|13.02|>": 51014,
+  "<|13.04|>": 51015,
+  "<|13.06|>": 51016,
+  "<|13.08|>": 51017,
+  "<|13.10|>": 51018,
+  "<|13.12|>": 51019,
+  "<|13.14|>": 51020,
+  "<|13.16|>": 51021,
+  "<|13.18|>": 51022,
+  "<|13.20|>": 51023,
+  "<|13.22|>": 51024,
+  "<|13.24|>": 51025,
+  "<|13.26|>": 51026,
+  "<|13.28|>": 51027,
+  "<|13.30|>": 51028,
+  "<|13.32|>": 51029,
+  "<|13.34|>": 51030,
+  "<|13.36|>": 51031,
+  "<|13.38|>": 51032,
+  "<|13.40|>": 51033,
+  "<|13.42|>": 51034,
+  "<|13.44|>": 51035,
+  "<|13.46|>": 51036,
+  "<|13.48|>": 51037,
+  "<|13.50|>": 51038,
+  "<|13.52|>": 51039,
+  "<|13.54|>": 51040,
+  "<|13.56|>": 51041,
+  "<|13.58|>": 51042,
+  "<|13.60|>": 51043,
+  "<|13.62|>": 51044,
+  "<|13.64|>": 51045,
+  "<|13.66|>": 51046,
+  "<|13.68|>": 51047,
+  "<|13.70|>": 51048,
+  "<|13.72|>": 51049,
+  "<|13.74|>": 51050,
+  "<|13.76|>": 51051,
+  "<|13.78|>": 51052,
+  "<|13.80|>": 51053,
+  "<|13.82|>": 51054,
+  "<|13.84|>": 51055,
+  "<|13.86|>": 51056,
+  "<|13.88|>": 51057,
+  "<|13.90|>": 51058,
+  "<|13.92|>": 51059,
+  "<|13.94|>": 51060,
+  "<|13.96|>": 51061,
+  "<|13.98|>": 51062,
+  "<|14.00|>": 51063,
+  "<|14.02|>": 51064,
+  "<|14.04|>": 51065,
+  "<|14.06|>": 51066,
+  "<|14.08|>": 51067,
+  "<|14.10|>": 51068,
+  "<|14.12|>": 51069,
+  "<|14.14|>": 51070,
+  "<|14.16|>": 51071,
+  "<|14.18|>": 51072,
+  "<|14.20|>": 51073,
+  "<|14.22|>": 51074,
+  "<|14.24|>": 51075,
+  "<|14.26|>": 51076,
+  "<|14.28|>": 51077,
+  "<|14.30|>": 51078,
+  "<|14.32|>": 51079,
+  "<|14.34|>": 51080,
+  "<|14.36|>": 51081,
+  "<|14.38|>": 51082,
+  "<|14.40|>": 51083,
+  "<|14.42|>": 51084,
+  "<|14.44|>": 51085,
+  "<|14.46|>": 51086,
+  "<|14.48|>": 51087,
+  "<|14.50|>": 51088,
+  "<|14.52|>": 51089,
+  "<|14.54|>": 51090,
+  "<|14.56|>": 51091,
+  "<|14.58|>": 51092,
+  "<|14.60|>": 51093,
+  "<|14.62|>": 51094,
+  "<|14.64|>": 51095,
+  "<|14.66|>": 51096,
+  "<|14.68|>": 51097,
+  "<|14.70|>": 51098,
+  "<|14.72|>": 51099,
+  "<|14.74|>": 51100,
+  "<|14.76|>": 51101,
+  "<|14.78|>": 51102,
+  "<|14.80|>": 51103,
+  "<|14.82|>": 51104,
+  "<|14.84|>": 51105,
+  "<|14.86|>": 51106,
+  "<|14.88|>": 51107,
+  "<|14.90|>": 51108,
+  "<|14.92|>": 51109,
+  "<|14.94|>": 51110,
+  "<|14.96|>": 51111,
+  "<|14.98|>": 51112,
+  "<|15.00|>": 51113,
+  "<|15.02|>": 51114,
+  "<|15.04|>": 51115,
+  "<|15.06|>": 51116,
+  "<|15.08|>": 51117,
+  "<|15.10|>": 51118,
+  "<|15.12|>": 51119,
+  "<|15.14|>": 51120,
+  "<|15.16|>": 51121,
+  "<|15.18|>": 51122,
+  "<|15.20|>": 51123,
+  "<|15.22|>": 51124,
+  "<|15.24|>": 51125,
+  "<|15.26|>": 51126,
+  "<|15.28|>": 51127,
+  "<|15.30|>": 51128,
+  "<|15.32|>": 51129,
+  "<|15.34|>": 51130,
+  "<|15.36|>": 51131,
+  "<|15.38|>": 51132,
+  "<|15.40|>": 51133,
+  "<|15.42|>": 51134,
+  "<|15.44|>": 51135,
+  "<|15.46|>": 51136,
+  "<|15.48|>": 51137,
+  "<|15.50|>": 51138,
+  "<|15.52|>": 51139,
+  "<|15.54|>": 51140,
+  "<|15.56|>": 51141,
+  "<|15.58|>": 51142,
+  "<|15.60|>": 51143,
+  "<|15.62|>": 51144,
+  "<|15.64|>": 51145,
+  "<|15.66|>": 51146,
+  "<|15.68|>": 51147,
+  "<|15.70|>": 51148,
+  "<|15.72|>": 51149,
+  "<|15.74|>": 51150,
+  "<|15.76|>": 51151,
+  "<|15.78|>": 51152,
+  "<|15.80|>": 51153,
+  "<|15.82|>": 51154,
+  "<|15.84|>": 51155,
+  "<|15.86|>": 51156,
+  "<|15.88|>": 51157,
+  "<|15.90|>": 51158,
+  "<|15.92|>": 51159,
+  "<|15.94|>": 51160,
+  "<|15.96|>": 51161,
+  "<|15.98|>": 51162,
+  "<|16.00|>": 51163,
+  "<|16.02|>": 51164,
+  "<|16.04|>": 51165,
+  "<|16.06|>": 51166,
+  "<|16.08|>": 51167,
+  "<|16.10|>": 51168,
+  "<|16.12|>": 51169,
+  "<|16.14|>": 51170,
+  "<|16.16|>": 51171,
+  "<|16.18|>": 51172,
+  "<|16.20|>": 51173,
+  "<|16.22|>": 51174,
+  "<|16.24|>": 51175,
+  "<|16.26|>": 51176,
+  "<|16.28|>": 51177,
+  "<|16.30|>": 51178,
+  "<|16.32|>": 51179,
+  "<|16.34|>": 51180,
+  "<|16.36|>": 51181,
+  "<|16.38|>": 51182,
+  "<|16.40|>": 51183,
+  "<|16.42|>": 51184,
+  "<|16.44|>": 51185,
+  "<|16.46|>": 51186,
+  "<|16.48|>": 51187,
+  "<|16.50|>": 51188,
+  "<|16.52|>": 51189,
+  "<|16.54|>": 51190,
+  "<|16.56|>": 51191,
+  "<|16.58|>": 51192,
+  "<|16.60|>": 51193,
+  "<|16.62|>": 51194,
+  "<|16.64|>": 51195,
+  "<|16.66|>": 51196,
+  "<|16.68|>": 51197,
+  "<|16.70|>": 51198,
+  "<|16.72|>": 51199,
+  "<|16.74|>": 51200,
+  "<|16.76|>": 51201,
+  "<|16.78|>": 51202,
+  "<|16.80|>": 51203,
+  "<|16.82|>": 51204,
+  "<|16.84|>": 51205,
+  "<|16.86|>": 51206,
+  "<|16.88|>": 51207,
+  "<|16.90|>": 51208,
+  "<|16.92|>": 51209,
+  "<|16.94|>": 51210,
+  "<|16.96|>": 51211,
+  "<|16.98|>": 51212,
+  "<|17.00|>": 51213,
+  "<|17.02|>": 51214,
+  "<|17.04|>": 51215,
+  "<|17.06|>": 51216,
+  "<|17.08|>": 51217,
+  "<|17.10|>": 51218,
+  "<|17.12|>": 51219,
+  "<|17.14|>": 51220,
+  "<|17.16|>": 51221,
+  "<|17.18|>": 51222,
+  "<|17.20|>": 51223,
+  "<|17.22|>": 51224,
+  "<|17.24|>": 51225,
+  "<|17.26|>": 51226,
+  "<|17.28|>": 51227,
+  "<|17.30|>": 51228,
+  "<|17.32|>": 51229,
+  "<|17.34|>": 51230,
+  "<|17.36|>": 51231,
+  "<|17.38|>": 51232,
+  "<|17.40|>": 51233,
+  "<|17.42|>": 51234,
+  "<|17.44|>": 51235,
+  "<|17.46|>": 51236,
+  "<|17.48|>": 51237,
+  "<|17.50|>": 51238,
+  "<|17.52|>": 51239,
+  "<|17.54|>": 51240,
+  "<|17.56|>": 51241,
+  "<|17.58|>": 51242,
+  "<|17.60|>": 51243,
+  "<|17.62|>": 51244,
+  "<|17.64|>": 51245,
+  "<|17.66|>": 51246,
+  "<|17.68|>": 51247,
+  "<|17.70|>": 51248,
+  "<|17.72|>": 51249,
+  "<|17.74|>": 51250,
+  "<|17.76|>": 51251,
+  "<|17.78|>": 51252,
+  "<|17.80|>": 51253,
+  "<|17.82|>": 51254,
+  "<|17.84|>": 51255,
+  "<|17.86|>": 51256,
+  "<|17.88|>": 51257,
+  "<|17.90|>": 51258,
+  "<|17.92|>": 51259,
+  "<|17.94|>": 51260,
+  "<|17.96|>": 51261,
+  "<|17.98|>": 51262,
+  "<|18.00|>": 51263,
+  "<|18.02|>": 51264,
+  "<|18.04|>": 51265,
+  "<|18.06|>": 51266,
+  "<|18.08|>": 51267,
+  "<|18.10|>": 51268,
+  "<|18.12|>": 51269,
+  "<|18.14|>": 51270,
+  "<|18.16|>": 51271,
+  "<|18.18|>": 51272,
+  "<|18.20|>": 51273,
+  "<|18.22|>": 51274,
+  "<|18.24|>": 51275,
+  "<|18.26|>": 51276,
+  "<|18.28|>": 51277,
+  "<|18.30|>": 51278,
+  "<|18.32|>": 51279,
+  "<|18.34|>": 51280,
+  "<|18.36|>": 51281,
+  "<|18.38|>": 51282,
+  "<|18.40|>": 51283,
+  "<|18.42|>": 51284,
+  "<|18.44|>": 51285,
+  "<|18.46|>": 51286,
+  "<|18.48|>": 51287,
+  "<|18.50|>": 51288,
+  "<|18.52|>": 51289,
+  "<|18.54|>": 51290,
+  "<|18.56|>": 51291,
+  "<|18.58|>": 51292,
+  "<|18.60|>": 51293,
+  "<|18.62|>": 51294,
+  "<|18.64|>": 51295,
+  "<|18.66|>": 51296,
+  "<|18.68|>": 51297,
+  "<|18.70|>": 51298,
+  "<|18.72|>": 51299,
+  "<|18.74|>": 51300,
+  "<|18.76|>": 51301,
+  "<|18.78|>": 51302,
+  "<|18.80|>": 51303,
+  "<|18.82|>": 51304,
+  "<|18.84|>": 51305,
+  "<|18.86|>": 51306,
+  "<|18.88|>": 51307,
+  "<|18.90|>": 51308,
+  "<|18.92|>": 51309,
+  "<|18.94|>": 51310,
+  "<|18.96|>": 51311,
+  "<|18.98|>": 51312,
+  "<|19.00|>": 51313,
+  "<|19.02|>": 51314,
+  "<|19.04|>": 51315,
+  "<|19.06|>": 51316,
+  "<|19.08|>": 51317,
+  "<|19.10|>": 51318,
+  "<|19.12|>": 51319,
+  "<|19.14|>": 51320,
+  "<|19.16|>": 51321,
+  "<|19.18|>": 51322,
+  "<|19.20|>": 51323,
+  "<|19.22|>": 51324,
+  "<|19.24|>": 51325,
+  "<|19.26|>": 51326,
+  "<|19.28|>": 51327,
+  "<|19.30|>": 51328,
+  "<|19.32|>": 51329,
+  "<|19.34|>": 51330,
+  "<|19.36|>": 51331,
+  "<|19.38|>": 51332,
+  "<|19.40|>": 51333,
+  "<|19.42|>": 51334,
+  "<|19.44|>": 51335,
+  "<|19.46|>": 51336,
+  "<|19.48|>": 51337,
+  "<|19.50|>": 51338,
+  "<|19.52|>": 51339,
+  "<|19.54|>": 51340,
+  "<|19.56|>": 51341,
+  "<|19.58|>": 51342,
+  "<|19.60|>": 51343,
+  "<|19.62|>": 51344,
+  "<|19.64|>": 51345,
+  "<|19.66|>": 51346,
+  "<|19.68|>": 51347,
+  "<|19.70|>": 51348,
+  "<|19.72|>": 51349,
+  "<|19.74|>": 51350,
+  "<|19.76|>": 51351,
+  "<|19.78|>": 51352,
+  "<|19.80|>": 51353,
+  "<|19.82|>": 51354,
+  "<|19.84|>": 51355,
+  "<|19.86|>": 51356,
+  "<|19.88|>": 51357,
+  "<|19.90|>": 51358,
+  "<|19.92|>": 51359,
+  "<|19.94|>": 51360,
+  "<|19.96|>": 51361,
+  "<|19.98|>": 51362,
+  "<|2.00|>": 50463,
+  "<|2.02|>": 50464,
+  "<|2.04|>": 50465,
+  "<|2.06|>": 50466,
+  "<|2.08|>": 50467,
+  "<|2.10|>": 50468,
+  "<|2.12|>": 50469,
+  "<|2.14|>": 50470,
+  "<|2.16|>": 50471,
+  "<|2.18|>": 50472,
+  "<|2.20|>": 50473,
+  "<|2.22|>": 50474,
+  "<|2.24|>": 50475,
+  "<|2.26|>": 50476,
+  "<|2.28|>": 50477,
+  "<|2.30|>": 50478,
+  "<|2.32|>": 50479,
+  "<|2.34|>": 50480,
+  "<|2.36|>": 50481,
+  "<|2.38|>": 50482,
+  "<|2.40|>": 50483,
+  "<|2.42|>": 50484,
+  "<|2.44|>": 50485,
+  "<|2.46|>": 50486,
+  "<|2.48|>": 50487,
+  "<|2.50|>": 50488,
+  "<|2.52|>": 50489,
+  "<|2.54|>": 50490,
+  "<|2.56|>": 50491,
+  "<|2.58|>": 50492,
+  "<|2.60|>": 50493,
+  "<|2.62|>": 50494,
+  "<|2.64|>": 50495,
+  "<|2.66|>": 50496,
+  "<|2.68|>": 50497,
+  "<|2.70|>": 50498,
+  "<|2.72|>": 50499,
+  "<|2.74|>": 50500,
+  "<|2.76|>": 50501,
+  "<|2.78|>": 50502,
+  "<|2.80|>": 50503,
+  "<|2.82|>": 50504,
+  "<|2.84|>": 50505,
+  "<|2.86|>": 50506,
+  "<|2.88|>": 50507,
+  "<|2.90|>": 50508,
+  "<|2.92|>": 50509,
+  "<|2.94|>": 50510,
+  "<|2.96|>": 50511,
+  "<|2.98|>": 50512,
+  "<|20.00|>": 51363,
+  "<|20.02|>": 51364,
+  "<|20.04|>": 51365,
+  "<|20.06|>": 51366,
+  "<|20.08|>": 51367,
+  "<|20.10|>": 51368,
+  "<|20.12|>": 51369,
+  "<|20.14|>": 51370,
+  "<|20.16|>": 51371,
+  "<|20.18|>": 51372,
+  "<|20.20|>": 51373,
+  "<|20.22|>": 51374,
+  "<|20.24|>": 51375,
+  "<|20.26|>": 51376,
+  "<|20.28|>": 51377,
+  "<|20.30|>": 51378,
+  "<|20.32|>": 51379,
+  "<|20.34|>": 51380,
+  "<|20.36|>": 51381,
+  "<|20.38|>": 51382,
+  "<|20.40|>": 51383,
+  "<|20.42|>": 51384,
+  "<|20.44|>": 51385,
+  "<|20.46|>": 51386,
+  "<|20.48|>": 51387,
+  "<|20.50|>": 51388,
+  "<|20.52|>": 51389,
+  "<|20.54|>": 51390,
+  "<|20.56|>": 51391,
+  "<|20.58|>": 51392,
+  "<|20.60|>": 51393,
+  "<|20.62|>": 51394,
+  "<|20.64|>": 51395,
+  "<|20.66|>": 51396,
+  "<|20.68|>": 51397,
+  "<|20.70|>": 51398,
+  "<|20.72|>": 51399,
+  "<|20.74|>": 51400,
+  "<|20.76|>": 51401,
+  "<|20.78|>": 51402,
+  "<|20.80|>": 51403,
+  "<|20.82|>": 51404,
+  "<|20.84|>": 51405,
+  "<|20.86|>": 51406,
+  "<|20.88|>": 51407,
+  "<|20.90|>": 51408,
+  "<|20.92|>": 51409,
+  "<|20.94|>": 51410,
+  "<|20.96|>": 51411,
+  "<|20.98|>": 51412,
+  "<|21.00|>": 51413,
+  "<|21.02|>": 51414,
+  "<|21.04|>": 51415,
+  "<|21.06|>": 51416,
+  "<|21.08|>": 51417,
+  "<|21.10|>": 51418,
+  "<|21.12|>": 51419,
+  "<|21.14|>": 51420,
+  "<|21.16|>": 51421,
+  "<|21.18|>": 51422,
+  "<|21.20|>": 51423,
+  "<|21.22|>": 51424,
+  "<|21.24|>": 51425,
+  "<|21.26|>": 51426,
+  "<|21.28|>": 51427,
+  "<|21.30|>": 51428,
+  "<|21.32|>": 51429,
+  "<|21.34|>": 51430,
+  "<|21.36|>": 51431,
+  "<|21.38|>": 51432,
+  "<|21.40|>": 51433,
+  "<|21.42|>": 51434,
+  "<|21.44|>": 51435,
+  "<|21.46|>": 51436,
+  "<|21.48|>": 51437,
+  "<|21.50|>": 51438,
+  "<|21.52|>": 51439,
+  "<|21.54|>": 51440,
+  "<|21.56|>": 51441,
+  "<|21.58|>": 51442,
+  "<|21.60|>": 51443,
+  "<|21.62|>": 51444,
+  "<|21.64|>": 51445,
+  "<|21.66|>": 51446,
+  "<|21.68|>": 51447,
+  "<|21.70|>": 51448,
+  "<|21.72|>": 51449,
+  "<|21.74|>": 51450,
+  "<|21.76|>": 51451,
+  "<|21.78|>": 51452,
+  "<|21.80|>": 51453,
+  "<|21.82|>": 51454,
+  "<|21.84|>": 51455,
+  "<|21.86|>": 51456,
+  "<|21.88|>": 51457,
+  "<|21.90|>": 51458,
+  "<|21.92|>": 51459,
+  "<|21.94|>": 51460,
+  "<|21.96|>": 51461,
+  "<|21.98|>": 51462,
+  "<|22.00|>": 51463,
+  "<|22.02|>": 51464,
+  "<|22.04|>": 51465,
+  "<|22.06|>": 51466,
+  "<|22.08|>": 51467,
+  "<|22.10|>": 51468,
+  "<|22.12|>": 51469,
+  "<|22.14|>": 51470,
+  "<|22.16|>": 51471,
+  "<|22.18|>": 51472,
+  "<|22.20|>": 51473,
+  "<|22.22|>": 51474,
+  "<|22.24|>": 51475,
+  "<|22.26|>": 51476,
+  "<|22.28|>": 51477,
+  "<|22.30|>": 51478,
+  "<|22.32|>": 51479,
+  "<|22.34|>": 51480,
+  "<|22.36|>": 51481,
+  "<|22.38|>": 51482,
+  "<|22.40|>": 51483,
+  "<|22.42|>": 51484,
+  "<|22.44|>": 51485,
+  "<|22.46|>": 51486,
+  "<|22.48|>": 51487,
+  "<|22.50|>": 51488,
+  "<|22.52|>": 51489,
+  "<|22.54|>": 51490,
+  "<|22.56|>": 51491,
+  "<|22.58|>": 51492,
+  "<|22.60|>": 51493,
+  "<|22.62|>": 51494,
+  "<|22.64|>": 51495,
+  "<|22.66|>": 51496,
+  "<|22.68|>": 51497,
+  "<|22.70|>": 51498,
+  "<|22.72|>": 51499,
+  "<|22.74|>": 51500,
+  "<|22.76|>": 51501,
+  "<|22.78|>": 51502,
+  "<|22.80|>": 51503,
+  "<|22.82|>": 51504,
+  "<|22.84|>": 51505,
+  "<|22.86|>": 51506,
+  "<|22.88|>": 51507,
+  "<|22.90|>": 51508,
+  "<|22.92|>": 51509,
+  "<|22.94|>": 51510,
+  "<|22.96|>": 51511,
+  "<|22.98|>": 51512,
+  "<|23.00|>": 51513,
+  "<|23.02|>": 51514,
+  "<|23.04|>": 51515,
+  "<|23.06|>": 51516,
+  "<|23.08|>": 51517,
+  "<|23.10|>": 51518,
+  "<|23.12|>": 51519,
+  "<|23.14|>": 51520,
+  "<|23.16|>": 51521,
+  "<|23.18|>": 51522,
+  "<|23.20|>": 51523,
+  "<|23.22|>": 51524,
+  "<|23.24|>": 51525,
+  "<|23.26|>": 51526,
+  "<|23.28|>": 51527,
+  "<|23.30|>": 51528,
+  "<|23.32|>": 51529,
+  "<|23.34|>": 51530,
+  "<|23.36|>": 51531,
+  "<|23.38|>": 51532,
+  "<|23.40|>": 51533,
+  "<|23.42|>": 51534,
+  "<|23.44|>": 51535,
+  "<|23.46|>": 51536,
+  "<|23.48|>": 51537,
+  "<|23.50|>": 51538,
+  "<|23.52|>": 51539,
+  "<|23.54|>": 51540,
+  "<|23.56|>": 51541,
+  "<|23.58|>": 51542,
+  "<|23.60|>": 51543,
+  "<|23.62|>": 51544,
+  "<|23.64|>": 51545,
+  "<|23.66|>": 51546,
+  "<|23.68|>": 51547,
+  "<|23.70|>": 51548,
+  "<|23.72|>": 51549,
+  "<|23.74|>": 51550,
+  "<|23.76|>": 51551,
+  "<|23.78|>": 51552,
+  "<|23.80|>": 51553,
+  "<|23.82|>": 51554,
+  "<|23.84|>": 51555,
+  "<|23.86|>": 51556,
+  "<|23.88|>": 51557,
+  "<|23.90|>": 51558,
+  "<|23.92|>": 51559,
+  "<|23.94|>": 51560,
+  "<|23.96|>": 51561,
+  "<|23.98|>": 51562,
+  "<|24.00|>": 51563,
+  "<|24.02|>": 51564,
+  "<|24.04|>": 51565,
+  "<|24.06|>": 51566,
+  "<|24.08|>": 51567,
+  "<|24.10|>": 51568,
+  "<|24.12|>": 51569,
+  "<|24.14|>": 51570,
+  "<|24.16|>": 51571,
+  "<|24.18|>": 51572,
+  "<|24.20|>": 51573,
+  "<|24.22|>": 51574,
+  "<|24.24|>": 51575,
+  "<|24.26|>": 51576,
+  "<|24.28|>": 51577,
+  "<|24.30|>": 51578,
+  "<|24.32|>": 51579,
+  "<|24.34|>": 51580,
+  "<|24.36|>": 51581,
+  "<|24.38|>": 51582,
+  "<|24.40|>": 51583,
+  "<|24.42|>": 51584,
+  "<|24.44|>": 51585,
+  "<|24.46|>": 51586,
+  "<|24.48|>": 51587,
+  "<|24.50|>": 51588,
+  "<|24.52|>": 51589,
+  "<|24.54|>": 51590,
+  "<|24.56|>": 51591,
+  "<|24.58|>": 51592,
+  "<|24.60|>": 51593,
+  "<|24.62|>": 51594,
+  "<|24.64|>": 51595,
+  "<|24.66|>": 51596,
+  "<|24.68|>": 51597,
+  "<|24.70|>": 51598,
+  "<|24.72|>": 51599,
+  "<|24.74|>": 51600,
+  "<|24.76|>": 51601,
+  "<|24.78|>": 51602,
+  "<|24.80|>": 51603,
+  "<|24.82|>": 51604,
+  "<|24.84|>": 51605,
+  "<|24.86|>": 51606,
+  "<|24.88|>": 51607,
+  "<|24.90|>": 51608,
+  "<|24.92|>": 51609,
+  "<|24.94|>": 51610,
+  "<|24.96|>": 51611,
+  "<|24.98|>": 51612,
+  "<|25.00|>": 51613,
+  "<|25.02|>": 51614,
+  "<|25.04|>": 51615,
+  "<|25.06|>": 51616,
+  "<|25.08|>": 51617,
+  "<|25.10|>": 51618,
+  "<|25.12|>": 51619,
+  "<|25.14|>": 51620,
+  "<|25.16|>": 51621,
+  "<|25.18|>": 51622,
+  "<|25.20|>": 51623,
+  "<|25.22|>": 51624,
+  "<|25.24|>": 51625,
+  "<|25.26|>": 51626,
+  "<|25.28|>": 51627,
+  "<|25.30|>": 51628,
+  "<|25.32|>": 51629,
+  "<|25.34|>": 51630,
+  "<|25.36|>": 51631,
+  "<|25.38|>": 51632,
+  "<|25.40|>": 51633,
+  "<|25.42|>": 51634,
+  "<|25.44|>": 51635,
+  "<|25.46|>": 51636,
+  "<|25.48|>": 51637,
+  "<|25.50|>": 51638,
+  "<|25.52|>": 51639,
+  "<|25.54|>": 51640,
+  "<|25.56|>": 51641,
+  "<|25.58|>": 51642,
+  "<|25.60|>": 51643,
+  "<|25.62|>": 51644,
+  "<|25.64|>": 51645,
+  "<|25.66|>": 51646,
+  "<|25.68|>": 51647,
+  "<|25.70|>": 51648,
+  "<|25.72|>": 51649,
+  "<|25.74|>": 51650,
+  "<|25.76|>": 51651,
+  "<|25.78|>": 51652,
+  "<|25.80|>": 51653,
+  "<|25.82|>": 51654,
+  "<|25.84|>": 51655,
+  "<|25.86|>": 51656,
+  "<|25.88|>": 51657,
+  "<|25.90|>": 51658,
+  "<|25.92|>": 51659,
+  "<|25.94|>": 51660,
+  "<|25.96|>": 51661,
+  "<|25.98|>": 51662,
+  "<|26.00|>": 51663,
+  "<|26.02|>": 51664,
+  "<|26.04|>": 51665,
+  "<|26.06|>": 51666,
+  "<|26.08|>": 51667,
+  "<|26.10|>": 51668,
+  "<|26.12|>": 51669,
+  "<|26.14|>": 51670,
+  "<|26.16|>": 51671,
+  "<|26.18|>": 51672,
+  "<|26.20|>": 51673,
+  "<|26.22|>": 51674,
+  "<|26.24|>": 51675,
+  "<|26.26|>": 51676,
+  "<|26.28|>": 51677,
+  "<|26.30|>": 51678,
+  "<|26.32|>": 51679,
+  "<|26.34|>": 51680,
+  "<|26.36|>": 51681,
+  "<|26.38|>": 51682,
+  "<|26.40|>": 51683,
+  "<|26.42|>": 51684,
+  "<|26.44|>": 51685,
+  "<|26.46|>": 51686,
+  "<|26.48|>": 51687,
+  "<|26.50|>": 51688,
+  "<|26.52|>": 51689,
+  "<|26.54|>": 51690,
+  "<|26.56|>": 51691,
+  "<|26.58|>": 51692,
+  "<|26.60|>": 51693,
+  "<|26.62|>": 51694,
+  "<|26.64|>": 51695,
+  "<|26.66|>": 51696,
+  "<|26.68|>": 51697,
+  "<|26.70|>": 51698,
+  "<|26.72|>": 51699,
+  "<|26.74|>": 51700,
+  "<|26.76|>": 51701,
+  "<|26.78|>": 51702,
+  "<|26.80|>": 51703,
+  "<|26.82|>": 51704,
+  "<|26.84|>": 51705,
+  "<|26.86|>": 51706,
+  "<|26.88|>": 51707,
+  "<|26.90|>": 51708,
+  "<|26.92|>": 51709,
+  "<|26.94|>": 51710,
+  "<|26.96|>": 51711,
+  "<|26.98|>": 51712,
+  "<|27.00|>": 51713,
+  "<|27.02|>": 51714,
+  "<|27.04|>": 51715,
+  "<|27.06|>": 51716,
+  "<|27.08|>": 51717,
+  "<|27.10|>": 51718,
+  "<|27.12|>": 51719,
+  "<|27.14|>": 51720,
+  "<|27.16|>": 51721,
+  "<|27.18|>": 51722,
+  "<|27.20|>": 51723,
+  "<|27.22|>": 51724,
+  "<|27.24|>": 51725,
+  "<|27.26|>": 51726,
+  "<|27.28|>": 51727,
+  "<|27.30|>": 51728,
+  "<|27.32|>": 51729,
+  "<|27.34|>": 51730,
+  "<|27.36|>": 51731,
+  "<|27.38|>": 51732,
+  "<|27.40|>": 51733,
+  "<|27.42|>": 51734,
+  "<|27.44|>": 51735,
+  "<|27.46|>": 51736,
+  "<|27.48|>": 51737,
+  "<|27.50|>": 51738,
+  "<|27.52|>": 51739,
+  "<|27.54|>": 51740,
+  "<|27.56|>": 51741,
+  "<|27.58|>": 51742,
+  "<|27.60|>": 51743,
+  "<|27.62|>": 51744,
+  "<|27.64|>": 51745,
+  "<|27.66|>": 51746,
+  "<|27.68|>": 51747,
+  "<|27.70|>": 51748,
+  "<|27.72|>": 51749,
+  "<|27.74|>": 51750,
+  "<|27.76|>": 51751,
+  "<|27.78|>": 51752,
+  "<|27.80|>": 51753,
+  "<|27.82|>": 51754,
+  "<|27.84|>": 51755,
+  "<|27.86|>": 51756,
+  "<|27.88|>": 51757,
+  "<|27.90|>": 51758,
+  "<|27.92|>": 51759,
+  "<|27.94|>": 51760,
+  "<|27.96|>": 51761,
+  "<|27.98|>": 51762,
+  "<|28.00|>": 51763,
+  "<|28.02|>": 51764,
+  "<|28.04|>": 51765,
+  "<|28.06|>": 51766,
+  "<|28.08|>": 51767,
+  "<|28.10|>": 51768,
+  "<|28.12|>": 51769,
+  "<|28.14|>": 51770,
+  "<|28.16|>": 51771,
+  "<|28.18|>": 51772,
+  "<|28.20|>": 51773,
+  "<|28.22|>": 51774,
+  "<|28.24|>": 51775,
+  "<|28.26|>": 51776,
+  "<|28.28|>": 51777,
+  "<|28.30|>": 51778,
+  "<|28.32|>": 51779,
+  "<|28.34|>": 51780,
+  "<|28.36|>": 51781,
+  "<|28.38|>": 51782,
+  "<|28.40|>": 51783,
+  "<|28.42|>": 51784,
+  "<|28.44|>": 51785,
+  "<|28.46|>": 51786,
+  "<|28.48|>": 51787,
+  "<|28.50|>": 51788,
+  "<|28.52|>": 51789,
+  "<|28.54|>": 51790,
+  "<|28.56|>": 51791,
+  "<|28.58|>": 51792,
+  "<|28.60|>": 51793,
+  "<|28.62|>": 51794,
+  "<|28.64|>": 51795,
+  "<|28.66|>": 51796,
+  "<|28.68|>": 51797,
+  "<|28.70|>": 51798,
+  "<|28.72|>": 51799,
+  "<|28.74|>": 51800,
+  "<|28.76|>": 51801,
+  "<|28.78|>": 51802,
+  "<|28.80|>": 51803,
+  "<|28.82|>": 51804,
+  "<|28.84|>": 51805,
+  "<|28.86|>": 51806,
+  "<|28.88|>": 51807,
+  "<|28.90|>": 51808,
+  "<|28.92|>": 51809,
+  "<|28.94|>": 51810,
+  "<|28.96|>": 51811,
+  "<|28.98|>": 51812,
+  "<|29.00|>": 51813,
+  "<|29.02|>": 51814,
+  "<|29.04|>": 51815,
+  "<|29.06|>": 51816,
+  "<|29.08|>": 51817,
+  "<|29.10|>": 51818,
+  "<|29.12|>": 51819,
+  "<|29.14|>": 51820,
+  "<|29.16|>": 51821,
+  "<|29.18|>": 51822,
+  "<|29.20|>": 51823,
+  "<|29.22|>": 51824,
+  "<|29.24|>": 51825,
+  "<|29.26|>": 51826,
+  "<|29.28|>": 51827,
+  "<|29.30|>": 51828,
+  "<|29.32|>": 51829,
+  "<|29.34|>": 51830,
+  "<|29.36|>": 51831,
+  "<|29.38|>": 51832,
+  "<|29.40|>": 51833,
+  "<|29.42|>": 51834,
+  "<|29.44|>": 51835,
+  "<|29.46|>": 51836,
+  "<|29.48|>": 51837,
+  "<|29.50|>": 51838,
+  "<|29.52|>": 51839,
+  "<|29.54|>": 51840,
+  "<|29.56|>": 51841,
+  "<|29.58|>": 51842,
+  "<|29.60|>": 51843,
+  "<|29.62|>": 51844,
+  "<|29.64|>": 51845,
+  "<|29.66|>": 51846,
+  "<|29.68|>": 51847,
+  "<|29.70|>": 51848,
+  "<|29.72|>": 51849,
+  "<|29.74|>": 51850,
+  "<|29.76|>": 51851,
+  "<|29.78|>": 51852,
+  "<|29.80|>": 51853,
+  "<|29.82|>": 51854,
+  "<|29.84|>": 51855,
+  "<|29.86|>": 51856,
+  "<|29.88|>": 51857,
+  "<|29.90|>": 51858,
+  "<|29.92|>": 51859,
+  "<|29.94|>": 51860,
+  "<|29.96|>": 51861,
+  "<|29.98|>": 51862,
+  "<|3.00|>": 50513,
+  "<|3.02|>": 50514,
+  "<|3.04|>": 50515,
+  "<|3.06|>": 50516,
+  "<|3.08|>": 50517,
+  "<|3.10|>": 50518,
+  "<|3.12|>": 50519,
+  "<|3.14|>": 50520,
+  "<|3.16|>": 50521,
+  "<|3.18|>": 50522,
+  "<|3.20|>": 50523,
+  "<|3.22|>": 50524,
+  "<|3.24|>": 50525,
+  "<|3.26|>": 50526,
+  "<|3.28|>": 50527,
+  "<|3.30|>": 50528,
+  "<|3.32|>": 50529,
+  "<|3.34|>": 50530,
+  "<|3.36|>": 50531,
+  "<|3.38|>": 50532,
+  "<|3.40|>": 50533,
+  "<|3.42|>": 50534,
+  "<|3.44|>": 50535,
+  "<|3.46|>": 50536,
+  "<|3.48|>": 50537,
+  "<|3.50|>": 50538,
+  "<|3.52|>": 50539,
+  "<|3.54|>": 50540,
+  "<|3.56|>": 50541,
+  "<|3.58|>": 50542,
+  "<|3.60|>": 50543,
+  "<|3.62|>": 50544,
+  "<|3.64|>": 50545,
+  "<|3.66|>": 50546,
+  "<|3.68|>": 50547,
+  "<|3.70|>": 50548,
+  "<|3.72|>": 50549,
+  "<|3.74|>": 50550,
+  "<|3.76|>": 50551,
+  "<|3.78|>": 50552,
+  "<|3.80|>": 50553,
+  "<|3.82|>": 50554,
+  "<|3.84|>": 50555,
+  "<|3.86|>": 50556,
+  "<|3.88|>": 50557,
+  "<|3.90|>": 50558,
+  "<|3.92|>": 50559,
+  "<|3.94|>": 50560,
+  "<|3.96|>": 50561,
+  "<|3.98|>": 50562,
+  "<|30.00|>": 51863,
+  "<|4.00|>": 50563,
+  "<|4.02|>": 50564,
+  "<|4.04|>": 50565,
+  "<|4.06|>": 50566,
+  "<|4.08|>": 50567,
+  "<|4.10|>": 50568,
+  "<|4.12|>": 50569,
+  "<|4.14|>": 50570,
+  "<|4.16|>": 50571,
+  "<|4.18|>": 50572,
+  "<|4.20|>": 50573,
+  "<|4.22|>": 50574,
+  "<|4.24|>": 50575,
+  "<|4.26|>": 50576,
+  "<|4.28|>": 50577,
+  "<|4.30|>": 50578,
+  "<|4.32|>": 50579,
+  "<|4.34|>": 50580,
+  "<|4.36|>": 50581,
+  "<|4.38|>": 50582,
+  "<|4.40|>": 50583,
+  "<|4.42|>": 50584,
+  "<|4.44|>": 50585,
+  "<|4.46|>": 50586,
+  "<|4.48|>": 50587,
+  "<|4.50|>": 50588,
+  "<|4.52|>": 50589,
+  "<|4.54|>": 50590,
+  "<|4.56|>": 50591,
+  "<|4.58|>": 50592,
+  "<|4.60|>": 50593,
+  "<|4.62|>": 50594,
+  "<|4.64|>": 50595,
+  "<|4.66|>": 50596,
+  "<|4.68|>": 50597,
+  "<|4.70|>": 50598,
+  "<|4.72|>": 50599,
+  "<|4.74|>": 50600,
+  "<|4.76|>": 50601,
+  "<|4.78|>": 50602,
+  "<|4.80|>": 50603,
+  "<|4.82|>": 50604,
+  "<|4.84|>": 50605,
+  "<|4.86|>": 50606,
+  "<|4.88|>": 50607,
+  "<|4.90|>": 50608,
+  "<|4.92|>": 50609,
+  "<|4.94|>": 50610,
+  "<|4.96|>": 50611,
+  "<|4.98|>": 50612,
+  "<|5.00|>": 50613,
+  "<|5.02|>": 50614,
+  "<|5.04|>": 50615,
+  "<|5.06|>": 50616,
+  "<|5.08|>": 50617,
+  "<|5.10|>": 50618,
+  "<|5.12|>": 50619,
+  "<|5.14|>": 50620,
+  "<|5.16|>": 50621,
+  "<|5.18|>": 50622,
+  "<|5.20|>": 50623,
+  "<|5.22|>": 50624,
+  "<|5.24|>": 50625,
+  "<|5.26|>": 50626,
+  "<|5.28|>": 50627,
+  "<|5.30|>": 50628,
+  "<|5.32|>": 50629,
+  "<|5.34|>": 50630,
+  "<|5.36|>": 50631,
+  "<|5.38|>": 50632,
+  "<|5.40|>": 50633,
+  "<|5.42|>": 50634,
+  "<|5.44|>": 50635,
+  "<|5.46|>": 50636,
+  "<|5.48|>": 50637,
+  "<|5.50|>": 50638,
+  "<|5.52|>": 50639,
+  "<|5.54|>": 50640,
+  "<|5.56|>": 50641,
+  "<|5.58|>": 50642,
+  "<|5.60|>": 50643,
+  "<|5.62|>": 50644,
+  "<|5.64|>": 50645,
+  "<|5.66|>": 50646,
+  "<|5.68|>": 50647,
+  "<|5.70|>": 50648,
+  "<|5.72|>": 50649,
+  "<|5.74|>": 50650,
+  "<|5.76|>": 50651,
+  "<|5.78|>": 50652,
+  "<|5.80|>": 50653,
+  "<|5.82|>": 50654,
+  "<|5.84|>": 50655,
+  "<|5.86|>": 50656,
+  "<|5.88|>": 50657,
+  "<|5.90|>": 50658,
+  "<|5.92|>": 50659,
+  "<|5.94|>": 50660,
+  "<|5.96|>": 50661,
+  "<|5.98|>": 50662,
+  "<|6.00|>": 50663,
+  "<|6.02|>": 50664,
+  "<|6.04|>": 50665,
+  "<|6.06|>": 50666,
+  "<|6.08|>": 50667,
+  "<|6.10|>": 50668,
+  "<|6.12|>": 50669,
+  "<|6.14|>": 50670,
+  "<|6.16|>": 50671,
+  "<|6.18|>": 50672,
+  "<|6.20|>": 50673,
+  "<|6.22|>": 50674,
+  "<|6.24|>": 50675,
+  "<|6.26|>": 50676,
+  "<|6.28|>": 50677,
+  "<|6.30|>": 50678,
+  "<|6.32|>": 50679,
+  "<|6.34|>": 50680,
+  "<|6.36|>": 50681,
+  "<|6.38|>": 50682,
+  "<|6.40|>": 50683,
+  "<|6.42|>": 50684,
+  "<|6.44|>": 50685,
+  "<|6.46|>": 50686,
+  "<|6.48|>": 50687,
+  "<|6.50|>": 50688,
+  "<|6.52|>": 50689,
+  "<|6.54|>": 50690,
+  "<|6.56|>": 50691,
+  "<|6.58|>": 50692,
+  "<|6.60|>": 50693,
+  "<|6.62|>": 50694,
+  "<|6.64|>": 50695,
+  "<|6.66|>": 50696,
+  "<|6.68|>": 50697,
+  "<|6.70|>": 50698,
+  "<|6.72|>": 50699,
+  "<|6.74|>": 50700,
+  "<|6.76|>": 50701,
+  "<|6.78|>": 50702,
+  "<|6.80|>": 50703,
+  "<|6.82|>": 50704,
+  "<|6.84|>": 50705,
+  "<|6.86|>": 50706,
+  "<|6.88|>": 50707,
+  "<|6.90|>": 50708,
+  "<|6.92|>": 50709,
+  "<|6.94|>": 50710,
+  "<|6.96|>": 50711,
+  "<|6.98|>": 50712,
+  "<|7.00|>": 50713,
+  "<|7.02|>": 50714,
+  "<|7.04|>": 50715,
+  "<|7.06|>": 50716,
+  "<|7.08|>": 50717,
+  "<|7.10|>": 50718,
+  "<|7.12|>": 50719,
+  "<|7.14|>": 50720,
+  "<|7.16|>": 50721,
+  "<|7.18|>": 50722,
+  "<|7.20|>": 50723,
+  "<|7.22|>": 50724,
+  "<|7.24|>": 50725,
+  "<|7.26|>": 50726,
+  "<|7.28|>": 50727,
+  "<|7.30|>": 50728,
+  "<|7.32|>": 50729,
+  "<|7.34|>": 50730,
+  "<|7.36|>": 50731,
+  "<|7.38|>": 50732,
+  "<|7.40|>": 50733,
+  "<|7.42|>": 50734,
+  "<|7.44|>": 50735,
+  "<|7.46|>": 50736,
+  "<|7.48|>": 50737,
+  "<|7.50|>": 50738,
+  "<|7.52|>": 50739,
+  "<|7.54|>": 50740,
+  "<|7.56|>": 50741,
+  "<|7.58|>": 50742,
+  "<|7.60|>": 50743,
+  "<|7.62|>": 50744,
+  "<|7.64|>": 50745,
+  "<|7.66|>": 50746,
+  "<|7.68|>": 50747,
+  "<|7.70|>": 50748,
+  "<|7.72|>": 50749,
+  "<|7.74|>": 50750,
+  "<|7.76|>": 50751,
+  "<|7.78|>": 50752,
+  "<|7.80|>": 50753,
+  "<|7.82|>": 50754,
+  "<|7.84|>": 50755,
+  "<|7.86|>": 50756,
+  "<|7.88|>": 50757,
+  "<|7.90|>": 50758,
+  "<|7.92|>": 50759,
+  "<|7.94|>": 50760,
+  "<|7.96|>": 50761,
+  "<|7.98|>": 50762,
+  "<|8.00|>": 50763,
+  "<|8.02|>": 50764,
+  "<|8.04|>": 50765,
+  "<|8.06|>": 50766,
+  "<|8.08|>": 50767,
+  "<|8.10|>": 50768,
+  "<|8.12|>": 50769,
+  "<|8.14|>": 50770,
+  "<|8.16|>": 50771,
+  "<|8.18|>": 50772,
+  "<|8.20|>": 50773,
+  "<|8.22|>": 50774,
+  "<|8.24|>": 50775,
+  "<|8.26|>": 50776,
+  "<|8.28|>": 50777,
+  "<|8.30|>": 50778,
+  "<|8.32|>": 50779,
+  "<|8.34|>": 50780,
+  "<|8.36|>": 50781,
+  "<|8.38|>": 50782,
+  "<|8.40|>": 50783,
+  "<|8.42|>": 50784,
+  "<|8.44|>": 50785,
+  "<|8.46|>": 50786,
+  "<|8.48|>": 50787,
+  "<|8.50|>": 50788,
+  "<|8.52|>": 50789,
+  "<|8.54|>": 50790,
+  "<|8.56|>": 50791,
+  "<|8.58|>": 50792,
+  "<|8.60|>": 50793,
+  "<|8.62|>": 50794,
+  "<|8.64|>": 50795,
+  "<|8.66|>": 50796,
+  "<|8.68|>": 50797,
+  "<|8.70|>": 50798,
+  "<|8.72|>": 50799,
+  "<|8.74|>": 50800,
+  "<|8.76|>": 50801,
+  "<|8.78|>": 50802,
+  "<|8.80|>": 50803,
+  "<|8.82|>": 50804,
+  "<|8.84|>": 50805,
+  "<|8.86|>": 50806,
+  "<|8.88|>": 50807,
+  "<|8.90|>": 50808,
+  "<|8.92|>": 50809,
+  "<|8.94|>": 50810,
+  "<|8.96|>": 50811,
+  "<|8.98|>": 50812,
+  "<|9.00|>": 50813,
+  "<|9.02|>": 50814,
+  "<|9.04|>": 50815,
+  "<|9.06|>": 50816,
+  "<|9.08|>": 50817,
+  "<|9.10|>": 50818,
+  "<|9.12|>": 50819,
+  "<|9.14|>": 50820,
+  "<|9.16|>": 50821,
+  "<|9.18|>": 50822,
+  "<|9.20|>": 50823,
+  "<|9.22|>": 50824,
+  "<|9.24|>": 50825,
+  "<|9.26|>": 50826,
+  "<|9.28|>": 50827,
+  "<|9.30|>": 50828,
+  "<|9.32|>": 50829,
+  "<|9.34|>": 50830,
+  "<|9.36|>": 50831,
+  "<|9.38|>": 50832,
+  "<|9.40|>": 50833,
+  "<|9.42|>": 50834,
+  "<|9.44|>": 50835,
+  "<|9.46|>": 50836,
+  "<|9.48|>": 50837,
+  "<|9.50|>": 50838,
+  "<|9.52|>": 50839,
+  "<|9.54|>": 50840,
+  "<|9.56|>": 50841,
+  "<|9.58|>": 50842,
+  "<|9.60|>": 50843,
+  "<|9.62|>": 50844,
+  "<|9.64|>": 50845,
+  "<|9.66|>": 50846,
+  "<|9.68|>": 50847,
+  "<|9.70|>": 50848,
+  "<|9.72|>": 50849,
+  "<|9.74|>": 50850,
+  "<|9.76|>": 50851,
+  "<|9.78|>": 50852,
+  "<|9.80|>": 50853,
+  "<|9.82|>": 50854,
+  "<|9.84|>": 50855,
+  "<|9.86|>": 50856,
+  "<|9.88|>": 50857,
+  "<|9.90|>": 50858,
+  "<|9.92|>": 50859,
+  "<|9.94|>": 50860,
+  "<|9.96|>": 50861,
+  "<|9.98|>": 50862,
+  "<|af|>": 50326,
+  "<|am|>": 50333,
+  "<|ar|>": 50271,
+  "<|as|>": 50349,
+  "<|az|>": 50303,
+  "<|ba|>": 50354,
+  "<|be|>": 50329,
+  "<|bg|>": 50291,
+  "<|bn|>": 50301,
+  "<|bo|>": 50346,
+  "<|br|>": 50308,
+  "<|bs|>": 50314,
+  "<|ca|>": 50269,
+  "<|cs|>": 50282,
+  "<|cy|>": 50296,
+  "<|da|>": 50284,
+  "<|de|>": 50260,
+  "<|el|>": 50280,
+  "<|en|>": 50258,
+  "<|es|>": 50261,
+  "<|et|>": 50306,
+  "<|eu|>": 50309,
+  "<|fa|>": 50299,
+  "<|fi|>": 50276,
+  "<|fo|>": 50337,
+  "<|fr|>": 50264,
+  "<|gl|>": 50318,
+  "<|gu|>": 50332,
+  "<|haw|>": 50351,
+  "<|ha|>": 50353,
+  "<|hi|>": 50275,
+  "<|hr|>": 50290,
+  "<|ht|>": 50338,
+  "<|hu|>": 50285,
+  "<|hy|>": 50311,
+  "<|id|>": 50274,
+  "<|is|>": 50310,
+  "<|it|>": 50273,
+  "<|iw|>": 50278,
+  "<|ja|>": 50265,
+  "<|jw|>": 50355,
+  "<|ka|>": 50328,
+  "<|kk|>": 50315,
+  "<|km|>": 50322,
+  "<|kn|>": 50305,
+  "<|ko|>": 50263,
+  "<|la|>": 50293,
+  "<|lb|>": 50344,
+  "<|ln|>": 50352,
+  "<|lo|>": 50335,
+  "<|lt|>": 50292,
+  "<|lv|>": 50300,
+  "<|mg|>": 50348,
+  "<|mi|>": 50294,
+  "<|mk|>": 50307,
+  "<|ml|>": 50295,
+  "<|mn|>": 50313,
+  "<|mr|>": 50319,
+  "<|ms|>": 50281,
+  "<|mt|>": 50342,
+  "<|my|>": 50345,
+  "<|ne|>": 50312,
+  "<|nl|>": 50270,
+  "<|nn|>": 50341,
+  "<|nocaptions|>": 50361,
+  "<|notimestamps|>": 50362,
+  "<|no|>": 50287,
+  "<|oc|>": 50327,
+  "<|pa|>": 50320,
+  "<|pl|>": 50268,
+  "<|ps|>": 50339,
+  "<|pt|>": 50266,
+  "<|ro|>": 50283,
+  "<|ru|>": 50262,
+  "<|sa|>": 50343,
+  "<|sd|>": 50331,
+  "<|si|>": 50321,
+  "<|sk|>": 50297,
+  "<|sl|>": 50304,
+  "<|sn|>": 50323,
+  "<|so|>": 50325,
+  "<|sq|>": 50316,
+  "<|sr|>": 50302,
+  "<|startoflm|>": 50359,
+  "<|startofprev|>": 50360,
+  "<|startoftranscript|>": 50257,
+  "<|su|>": 50356,
+  "<|sv|>": 50272,
+  "<|sw|>": 50317,
+  "<|ta|>": 50286,
+  "<|te|>": 50298,
+  "<|tg|>": 50330,
+  "<|th|>": 50288,
+  "<|tk|>": 50340,
+  "<|tl|>": 50347,
+  "<|transcribe|>": 50358,
+  "<|translate|>": 50357,
+  "<|tr|>": 50267,
+  "<|tt|>": 50350,
+  "<|uk|>": 50279,
+  "<|ur|>": 50289,
+  "<|uz|>": 50336,
+  "<|vi|>": 50277,
+  "<|yi|>": 50334,
+  "<|yo|>": 50324,
+  "<|zh|>": 50259
+}

config.json

@@ -0,0 +1,56 @@
+{
+  "_name_or_path": "openai/whisper-small.en",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": true,
+  "architectures": [
+    "WhisperForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "begin_suppress_tokens": [
+    220,
+    50256
+  ],
+  "bos_token_id": 50257,
+  "classifier_proj_size": 256,
+  "d_model": 768,
+  "decoder_attention_heads": 12,
+  "decoder_ffn_dim": 3072,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 12,
+  "decoder_start_token_id": 50257,
+  "dropout": 0.0,
+  "encoder_attention_heads": 12,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 12,
+  "eos_token_id": 50256,
+  "forced_decoder_ids": [
+    [
+      1,
+      50362
+    ]
+  ],
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.5,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.5,
+  "max_length": null,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 12,
+  "num_mel_bins": 80,
+  "pad_token_id": 50256,
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.0.dev0",
+  "use_cache": true,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51864
+}

generation_config.json

@@ -0,0 +1,197 @@
+{
+  "alignment_heads": [
+    [
+      6,
+      6
+    ],
+    [
+      7,
+      0
+    ],
+    [
+      7,
+      3
+    ],
+    [
+      7,
+      8
+    ],
+    [
+      8,
+      2
+    ],
+    [
+      8,
+      5
+    ],
+    [
+      8,
+      7
+    ],
+    [
+      9,
+      0
+    ],
+    [
+      9,
+      4
+    ],
+    [
+      9,
+      8
+    ],
+    [
+      9,
+      10
+    ],
+    [
+      10,
+      0
+    ],
+    [
+      10,
+      1
+    ],
+    [
+      10,
+      2
+    ],
+    [
+      10,
+      3
+    ],
+    [
+      10,
+      6
+    ],
+    [
+      10,
+      11
+    ],
+    [
+      11,
+      2
+    ],
+    [
+      11,
+      4
+    ]
+  ],
+  "apply_spec_augment": true,
+  "begin_suppress_tokens": [
+    220,
+    50256
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "forced_decoder_ids": [
+    [
+      1,
+      50362
+    ]
+  ],
+  "is_multilingual": false,
+  "mask_feature_length": 10,
+  "mask_feature_prob": 0.5,
+  "mask_time_length": 10,
+  "mask_time_prob": 0.5,
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50362,
+  "pad_token_id": 50256,
+  "prev_sot_token_id": 50360,
+  "suppress_tokens": [
+    1,
+    2,
+    7,
+    8,
+    9,
+    10,
+    14,
+    25,
+    26,
+    27,
+    28,
+    29,
+    31,
+    58,
+    59,
+    60,
+    61,
+    62,
+    63,
+    90,
+    91,
+    92,
+    93,
+    357,
+    366,
+    438,
+    532,
+    685,
+    705,
+    796,
+    930,
+    1058,
+    1220,
+    1267,
+    1279,
+    1303,
+    1343,
+    1377,
+    1391,
+    1635,
+    1782,
+    1875,
+    2162,
+    2361,
+    2488,
+    3467,
+    4008,
+    4211,
+    4600,
+    4808,
+    5299,
+    5855,
+    6329,
+    7203,
+    9609,
+    9959,
+    10563,
+    10786,
+    11420,
+    11709,
+    11907,
+    13163,
+    13697,
+    13700,
+    14808,
+    15306,
+    16410,
+    16791,
+    17992,
+    19203,
+    19510,
+    20724,
+    22305,
+    22935,
+    27007,
+    30109,
+    30420,
+    33409,
+    34949,
+    40283,
+    40493,
+    40549,
+    47282,
+    49146,
+    50257,
+    50357,
+    50358,
+    50359,
+    50360,
+    50361
+  ],
+  "transformers_version": "4.48.0.dev0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b4322ae325e2abbcbe6a7f22166312ecaa1c1eea9445c068bb0fbd3fae83c63
+size 966992008

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"
+}

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:05786586a84524db5fcb18cb2cc913bd83b9d56a8f1866df9bacb711c4b0daa9
+size 1934274735

preprocessor_config copy.json

@@ -0,0 +1,14 @@
+{
+  "chunk_length": 30,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 80,
+  "hop_length": 160,
+  "n_fft": 400,
+  "n_samples": 480000,
+  "nb_max_frames": 3000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

preprocessor_config.json

@@ -0,0 +1,14 @@
+{
+  "chunk_length": 30,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 80,
+  "hop_length": 160,
+  "n_fft": 400,
+  "n_samples": 480000,
+  "nb_max_frames": 3000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20f7d2b77bc9f68b7fa8decff89294ef1415fd926ae779f8535f67a80371fac8
+size 14308

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4e9e2d8f4f1253be70c2af201ffab78e69e733c135186aebc6c7f47865c4f1d
+size 1064

special_tokens_map.json

@@ -0,0 +1,138 @@
+{
+  "additional_special_tokens": [
+    "<|startoftranscript|>",
+    "<|en|>",
+    "<|zh|>",
+    "<|de|>",
+    "<|es|>",
+    "<|ru|>",
+    "<|ko|>",
+    "<|fr|>",
+    "<|ja|>",
+    "<|pt|>",
+    "<|tr|>",
+    "<|pl|>",
+    "<|ca|>",
+    "<|nl|>",
+    "<|ar|>",
+    "<|sv|>",
+    "<|it|>",
+    "<|id|>",
+    "<|hi|>",
+    "<|fi|>",
+    "<|vi|>",
+    "<|iw|>",
+    "<|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 +1,3064 @@
+{
+  "best_metric": 0.12174894318263237,
+  "best_model_checkpoint": "Checkpoints/noisereduce_small_HLBTAugs/checkpoint-10612",
+  "epoch": 7.0,
+  "eval_steps": 1000,
+  "global_step": 10612,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.016490765171503958,
+      "grad_norm": 39.31369400024414,
+      "learning_rate": 4.2000000000000006e-07,
+      "loss": 6.8388,
+      "step": 25
+    },
+    {
+      "epoch": 0.032981530343007916,
+      "grad_norm": 33.235538482666016,
+      "learning_rate": 9.200000000000001e-07,
+      "loss": 6.0977,
+      "step": 50
+    },
+    {
+      "epoch": 0.04947229551451187,
+      "grad_norm": 26.6918888092041,
+      "learning_rate": 1.42e-06,
+      "loss": 5.1518,
+      "step": 75
+    },
+    {
+      "epoch": 0.06596306068601583,
+      "grad_norm": 19.928937911987305,
+      "learning_rate": 1.9200000000000003e-06,
+      "loss": 4.1287,
+      "step": 100
+    },
+    {
+      "epoch": 0.08245382585751979,
+      "grad_norm": 17.019432067871094,
+      "learning_rate": 2.42e-06,
+      "loss": 3.3885,
+      "step": 125
+    },
+    {
+      "epoch": 0.09894459102902374,
+      "grad_norm": 14.757500648498535,
+      "learning_rate": 2.92e-06,
+      "loss": 2.9706,
+      "step": 150
+    },
+    {
+      "epoch": 0.11543535620052771,
+      "grad_norm": 15.232291221618652,
+      "learning_rate": 3.4200000000000007e-06,
+      "loss": 2.6453,
+      "step": 175
+    },
+    {
+      "epoch": 0.13192612137203166,
+      "grad_norm": 14.23778247833252,
+      "learning_rate": 3.920000000000001e-06,
+      "loss": 2.3353,
+      "step": 200
+    },
+    {
+      "epoch": 0.14841688654353563,
+      "grad_norm": 15.65247631072998,
+      "learning_rate": 4.42e-06,
+      "loss": 2.0593,
+      "step": 225
+    },
+    {
+      "epoch": 0.16490765171503957,
+      "grad_norm": 14.948330879211426,
+      "learning_rate": 4.92e-06,
+      "loss": 1.9178,
+      "step": 250
+    },
+    {
+      "epoch": 0.18139841688654354,
+      "grad_norm": 13.788339614868164,
+      "learning_rate": 5.420000000000001e-06,
+      "loss": 1.7265,
+      "step": 275
+    },
+    {
+      "epoch": 0.19788918205804748,
+      "grad_norm": 13.352944374084473,
+      "learning_rate": 5.92e-06,
+      "loss": 1.6424,
+      "step": 300
+    },
+    {
+      "epoch": 0.21437994722955145,
+      "grad_norm": 13.235891342163086,
+      "learning_rate": 6.42e-06,
+      "loss": 1.5053,
+      "step": 325
+    },
+    {
+      "epoch": 0.23087071240105542,
+      "grad_norm": 14.21623420715332,
+      "learning_rate": 6.92e-06,
+      "loss": 1.4925,
+      "step": 350
+    },
+    {
+      "epoch": 0.24736147757255936,
+      "grad_norm": 22.086210250854492,
+      "learning_rate": 7.420000000000001e-06,
+      "loss": 1.4107,
+      "step": 375
+    },
+    {
+      "epoch": 0.2638522427440633,
+      "grad_norm": 12.337775230407715,
+      "learning_rate": 7.92e-06,
+      "loss": 1.3594,
+      "step": 400
+    },
+    {
+      "epoch": 0.28034300791556727,
+      "grad_norm": 13.980206489562988,
+      "learning_rate": 8.42e-06,
+      "loss": 1.3478,
+      "step": 425
+    },
+    {
+      "epoch": 0.29683377308707126,
+      "grad_norm": 12.868133544921875,
+      "learning_rate": 8.920000000000001e-06,
+      "loss": 1.2952,
+      "step": 450
+    },
+    {
+      "epoch": 0.3133245382585752,
+      "grad_norm": 12.454700469970703,
+      "learning_rate": 9.42e-06,
+      "loss": 1.3642,
+      "step": 475
+    },
+    {
+      "epoch": 0.32981530343007914,
+      "grad_norm": 14.960906982421875,
+      "learning_rate": 9.920000000000002e-06,
+      "loss": 1.1298,
+      "step": 500
+    },
+    {
+      "epoch": 0.34630606860158314,
+      "grad_norm": 14.04990291595459,
+      "learning_rate": 9.99533125833704e-06,
+      "loss": 1.1925,
+      "step": 525
+    },
+    {
+      "epoch": 0.3627968337730871,
+      "grad_norm": 12.418570518493652,
+      "learning_rate": 9.9897732325478e-06,
+      "loss": 1.1135,
+      "step": 550
+    },
+    {
+      "epoch": 0.379287598944591,
+      "grad_norm": 12.186723709106445,
+      "learning_rate": 9.98421520675856e-06,
+      "loss": 1.0462,
+      "step": 575
+    },
+    {
+      "epoch": 0.39577836411609496,
+      "grad_norm": 13.12454891204834,
+      "learning_rate": 9.97865718096932e-06,
+      "loss": 1.0761,
+      "step": 600
+    },
+    {
+      "epoch": 0.41226912928759896,
+      "grad_norm": 9.63180923461914,
+      "learning_rate": 9.97309915518008e-06,
+      "loss": 1.1031,
+      "step": 625
+    },
+    {
+      "epoch": 0.4287598944591029,
+      "grad_norm": 12.495417594909668,
+      "learning_rate": 9.967541129390842e-06,
+      "loss": 1.0276,
+      "step": 650
+    },
+    {
+      "epoch": 0.44525065963060684,
+      "grad_norm": 12.295565605163574,
+      "learning_rate": 9.961983103601602e-06,
+      "loss": 0.9776,
+      "step": 675
+    },
+    {
+      "epoch": 0.46174142480211083,
+      "grad_norm": 11.512835502624512,
+      "learning_rate": 9.956425077812362e-06,
+      "loss": 0.9664,
+      "step": 700
+    },
+    {
+      "epoch": 0.4782321899736148,
+      "grad_norm": 14.376967430114746,
+      "learning_rate": 9.950867052023122e-06,
+      "loss": 1.0564,
+      "step": 725
+    },
+    {
+      "epoch": 0.4947229551451187,
+      "grad_norm": 11.573795318603516,
+      "learning_rate": 9.945309026233882e-06,
+      "loss": 1.0157,
+      "step": 750
+    },
+    {
+      "epoch": 0.5112137203166227,
+      "grad_norm": 13.335847854614258,
+      "learning_rate": 9.939751000444643e-06,
+      "loss": 0.9132,
+      "step": 775
+    },
+    {
+      "epoch": 0.5277044854881267,
+      "grad_norm": 11.932069778442383,
+      "learning_rate": 9.934192974655403e-06,
+      "loss": 0.9303,
+      "step": 800
+    },
+    {
+      "epoch": 0.5441952506596306,
+      "grad_norm": 15.350811004638672,
+      "learning_rate": 9.928634948866163e-06,
+      "loss": 0.9654,
+      "step": 825
+    },
+    {
+      "epoch": 0.5606860158311345,
+      "grad_norm": 13.428604125976562,
+      "learning_rate": 9.923076923076923e-06,
+      "loss": 0.9238,
+      "step": 850
+    },
+    {
+      "epoch": 0.5771767810026385,
+      "grad_norm": 9.998970985412598,
+      "learning_rate": 9.917518897287685e-06,
+      "loss": 0.9136,
+      "step": 875
+    },
+    {
+      "epoch": 0.5936675461741425,
+      "grad_norm": 12.5803804397583,
+      "learning_rate": 9.911960871498445e-06,
+      "loss": 0.8368,
+      "step": 900
+    },
+    {
+      "epoch": 0.6101583113456465,
+      "grad_norm": 9.582605361938477,
+      "learning_rate": 9.906402845709205e-06,
+      "loss": 0.8865,
+      "step": 925
+    },
+    {
+      "epoch": 0.6266490765171504,
+      "grad_norm": 11.229839324951172,
+      "learning_rate": 9.900844819919965e-06,
+      "loss": 0.9401,
+      "step": 950
+    },
+    {
+      "epoch": 0.6431398416886543,
+      "grad_norm": 9.11830997467041,
+      "learning_rate": 9.895286794130725e-06,
+      "loss": 0.9186,
+      "step": 975
+    },
+    {
+      "epoch": 0.6596306068601583,
+      "grad_norm": 8.9396333694458,
+      "learning_rate": 9.889728768341485e-06,
+      "loss": 0.8388,
+      "step": 1000
+    },
+    {
+      "epoch": 0.6761213720316622,
+      "grad_norm": 11.35300064086914,
+      "learning_rate": 9.884170742552245e-06,
+      "loss": 0.8979,
+      "step": 1025
+    },
+    {
+      "epoch": 0.6926121372031663,
+      "grad_norm": 11.368852615356445,
+      "learning_rate": 9.878612716763007e-06,
+      "loss": 0.8806,
+      "step": 1050
+    },
+    {
+      "epoch": 0.7091029023746702,
+      "grad_norm": 9.17705249786377,
+      "learning_rate": 9.873054690973767e-06,
+      "loss": 0.7954,
+      "step": 1075
+    },
+    {
+      "epoch": 0.7255936675461742,
+      "grad_norm": 9.339437484741211,
+      "learning_rate": 9.867496665184527e-06,
+      "loss": 0.8565,
+      "step": 1100
+    },
+    {
+      "epoch": 0.7420844327176781,
+      "grad_norm": 13.083456039428711,
+      "learning_rate": 9.861938639395287e-06,
+      "loss": 0.8049,
+      "step": 1125
+    },
+    {
+      "epoch": 0.758575197889182,
+      "grad_norm": 13.02919864654541,
+      "learning_rate": 9.856380613606049e-06,
+      "loss": 0.7948,
+      "step": 1150
+    },
+    {
+      "epoch": 0.775065963060686,
+      "grad_norm": 8.956382751464844,
+      "learning_rate": 9.850822587816809e-06,
+      "loss": 0.802,
+      "step": 1175
+    },
+    {
+      "epoch": 0.7915567282321899,
+      "grad_norm": 12.043669700622559,
+      "learning_rate": 9.845264562027569e-06,
+      "loss": 0.8199,
+      "step": 1200
+    },
+    {
+      "epoch": 0.808047493403694,
+      "grad_norm": 10.119061470031738,
+      "learning_rate": 9.839706536238329e-06,
+      "loss": 0.7736,
+      "step": 1225
+    },
+    {
+      "epoch": 0.8245382585751979,
+      "grad_norm": 9.62971019744873,
+      "learning_rate": 9.83414851044909e-06,
+      "loss": 0.7698,
+      "step": 1250
+    },
+    {
+      "epoch": 0.8410290237467019,
+      "grad_norm": 14.902313232421875,
+      "learning_rate": 9.82859048465985e-06,
+      "loss": 0.7961,
+      "step": 1275
+    },
+    {
+      "epoch": 0.8575197889182058,
+      "grad_norm": 13.862401008605957,
+      "learning_rate": 9.823032458870609e-06,
+      "loss": 0.7682,
+      "step": 1300
+    },
+    {
+      "epoch": 0.8740105540897097,
+      "grad_norm": 10.040505409240723,
+      "learning_rate": 9.81747443308137e-06,
+      "loss": 0.777,
+      "step": 1325
+    },
+    {
+      "epoch": 0.8905013192612137,
+      "grad_norm": 8.199767112731934,
+      "learning_rate": 9.81191640729213e-06,
+      "loss": 0.7698,
+      "step": 1350
+    },
+    {
+      "epoch": 0.9069920844327177,
+      "grad_norm": 9.803958892822266,
+      "learning_rate": 9.80635838150289e-06,
+      "loss": 0.7456,
+      "step": 1375
+    },
+    {
+      "epoch": 0.9234828496042217,
+      "grad_norm": 10.063946723937988,
+      "learning_rate": 9.80080035571365e-06,
+      "loss": 0.7653,
+      "step": 1400
+    },
+    {
+      "epoch": 0.9399736147757256,
+      "grad_norm": 11.48767375946045,
+      "learning_rate": 9.795242329924412e-06,
+      "loss": 0.7554,
+      "step": 1425
+    },
+    {
+      "epoch": 0.9564643799472295,
+      "grad_norm": 10.616227149963379,
+      "learning_rate": 9.789684304135172e-06,
+      "loss": 0.7911,
+      "step": 1450
+    },
+    {
+      "epoch": 0.9729551451187335,
+      "grad_norm": 8.222291946411133,
+      "learning_rate": 9.784126278345932e-06,
+      "loss": 0.7838,
+      "step": 1475
+    },
+    {
+      "epoch": 0.9894459102902374,
+      "grad_norm": 9.053133964538574,
+      "learning_rate": 9.778568252556692e-06,
+      "loss": 0.7834,
+      "step": 1500
+    },
+    {
+      "epoch": 1.0,
+      "eval_loss": 0.37832075357437134,
+      "eval_runtime": 1456.4978,
+      "eval_samples_per_second": 3.567,
+      "eval_steps_per_second": 1.784,
+      "eval_wer": 0.18685964032385183,
+      "step": 1516
+    },
+    {
+      "epoch": 1.0059366754617414,
+      "grad_norm": 7.5070929527282715,
+      "learning_rate": 9.773010226767452e-06,
+      "loss": 0.7013,
+      "step": 1525
+    },
+    {
+      "epoch": 1.0224274406332454,
+      "grad_norm": 12.309554100036621,
+      "learning_rate": 9.767452200978214e-06,
+      "loss": 0.7185,
+      "step": 1550
+    },
+    {
+      "epoch": 1.0389182058047493,
+      "grad_norm": 9.577189445495605,
+      "learning_rate": 9.761894175188974e-06,
+      "loss": 0.6881,
+      "step": 1575
+    },
+    {
+      "epoch": 1.0554089709762533,
+      "grad_norm": 13.550950050354004,
+      "learning_rate": 9.756336149399734e-06,
+      "loss": 0.7469,
+      "step": 1600
+    },
+    {
+      "epoch": 1.0718997361477574,
+      "grad_norm": 11.185826301574707,
+      "learning_rate": 9.750778123610494e-06,
+      "loss": 0.6697,
+      "step": 1625
+    },
+    {
+      "epoch": 1.0883905013192612,
+      "grad_norm": 9.437973976135254,
+      "learning_rate": 9.745220097821256e-06,
+      "loss": 0.7037,
+      "step": 1650
+    },
+    {
+      "epoch": 1.1048812664907652,
+      "grad_norm": 8.722063064575195,
+      "learning_rate": 9.739662072032014e-06,
+      "loss": 0.6956,
+      "step": 1675
+    },
+    {
+      "epoch": 1.121372031662269,
+      "grad_norm": 8.723018646240234,
+      "learning_rate": 9.734104046242774e-06,
+      "loss": 0.736,
+      "step": 1700
+    },
+    {
+      "epoch": 1.1378627968337731,
+      "grad_norm": 7.343624114990234,
+      "learning_rate": 9.728546020453536e-06,
+      "loss": 0.7095,
+      "step": 1725
+    },
+    {
+      "epoch": 1.154353562005277,
+      "grad_norm": 8.930522918701172,
+      "learning_rate": 9.722987994664296e-06,
+      "loss": 0.6715,
+      "step": 1750
+    },
+    {
+      "epoch": 1.170844327176781,
+      "grad_norm": 8.927308082580566,
+      "learning_rate": 9.717429968875056e-06,
+      "loss": 0.6891,
+      "step": 1775
+    },
+    {
+      "epoch": 1.187335092348285,
+      "grad_norm": 9.455988883972168,
+      "learning_rate": 9.711871943085816e-06,
+      "loss": 0.6908,
+      "step": 1800
+    },
+    {
+      "epoch": 1.2038258575197889,
+      "grad_norm": 10.517112731933594,
+      "learning_rate": 9.706313917296578e-06,
+      "loss": 0.6583,
+      "step": 1825
+    },
+    {
+      "epoch": 1.220316622691293,
+      "grad_norm": 6.787125587463379,
+      "learning_rate": 9.700755891507338e-06,
+      "loss": 0.694,
+      "step": 1850
+    },
+    {
+      "epoch": 1.2368073878627968,
+      "grad_norm": 9.443794250488281,
+      "learning_rate": 9.695197865718098e-06,
+      "loss": 0.6771,
+      "step": 1875
+    },
+    {
+      "epoch": 1.2532981530343008,
+      "grad_norm": 8.916643142700195,
+      "learning_rate": 9.689639839928858e-06,
+      "loss": 0.7213,
+      "step": 1900
+    },
+    {
+      "epoch": 1.2697889182058049,
+      "grad_norm": 9.56280517578125,
+      "learning_rate": 9.68408181413962e-06,
+      "loss": 0.6517,
+      "step": 1925
+    },
+    {
+      "epoch": 1.2862796833773087,
+      "grad_norm": 10.584586143493652,
+      "learning_rate": 9.67852378835038e-06,
+      "loss": 0.6909,
+      "step": 1950
+    },
+    {
+      "epoch": 1.3027704485488127,
+      "grad_norm": 7.714522361755371,
+      "learning_rate": 9.67296576256114e-06,
+      "loss": 0.6411,
+      "step": 1975
+    },
+    {
+      "epoch": 1.3192612137203166,
+      "grad_norm": 8.497810363769531,
+      "learning_rate": 9.6674077367719e-06,
+      "loss": 0.6612,
+      "step": 2000
+    },
+    {
+      "epoch": 1.3357519788918206,
+      "grad_norm": 7.779177188873291,
+      "learning_rate": 9.66184971098266e-06,
+      "loss": 0.6655,
+      "step": 2025
+    },
+    {
+      "epoch": 1.3522427440633247,
+      "grad_norm": 8.202792167663574,
+      "learning_rate": 9.65629168519342e-06,
+      "loss": 0.6234,
+      "step": 2050
+    },
+    {
+      "epoch": 1.3687335092348285,
+      "grad_norm": 6.34199857711792,
+      "learning_rate": 9.65073365940418e-06,
+      "loss": 0.6737,
+      "step": 2075
+    },
+    {
+      "epoch": 1.3852242744063323,
+      "grad_norm": 9.55582332611084,
+      "learning_rate": 9.645175633614941e-06,
+      "loss": 0.6718,
+      "step": 2100
+    },
+    {
+      "epoch": 1.4017150395778364,
+      "grad_norm": 9.783499717712402,
+      "learning_rate": 9.639617607825701e-06,
+      "loss": 0.6453,
+      "step": 2125
+    },
+    {
+      "epoch": 1.4182058047493404,
+      "grad_norm": 7.693665027618408,
+      "learning_rate": 9.634059582036461e-06,
+      "loss": 0.631,
+      "step": 2150
+    },
+    {
+      "epoch": 1.4346965699208443,
+      "grad_norm": 9.876138687133789,
+      "learning_rate": 9.628501556247221e-06,
+      "loss": 0.6951,
+      "step": 2175
+    },
+    {
+      "epoch": 1.4511873350923483,
+      "grad_norm": 9.020912170410156,
+      "learning_rate": 9.622943530457981e-06,
+      "loss": 0.6479,
+      "step": 2200
+    },
+    {
+      "epoch": 1.4676781002638521,
+      "grad_norm": 10.81850528717041,
+      "learning_rate": 9.617385504668743e-06,
+      "loss": 0.709,
+      "step": 2225
+    },
+    {
+      "epoch": 1.4841688654353562,
+      "grad_norm": 9.466885566711426,
+      "learning_rate": 9.611827478879503e-06,
+      "loss": 0.6469,
+      "step": 2250
+    },
+    {
+      "epoch": 1.5006596306068603,
+      "grad_norm": 10.120772361755371,
+      "learning_rate": 9.606269453090263e-06,
+      "loss": 0.6428,
+      "step": 2275
+    },
+    {
+      "epoch": 1.517150395778364,
+      "grad_norm": 9.613449096679688,
+      "learning_rate": 9.600711427301023e-06,
+      "loss": 0.6808,
+      "step": 2300
+    },
+    {
+      "epoch": 1.533641160949868,
+      "grad_norm": 6.854451656341553,
+      "learning_rate": 9.595153401511785e-06,
+      "loss": 0.674,
+      "step": 2325
+    },
+    {
+      "epoch": 1.550131926121372,
+      "grad_norm": 7.6446309089660645,
+      "learning_rate": 9.589595375722545e-06,
+      "loss": 0.6497,
+      "step": 2350
+    },
+    {
+      "epoch": 1.566622691292876,
+      "grad_norm": 9.535722732543945,
+      "learning_rate": 9.584037349933303e-06,
+      "loss": 0.6262,
+      "step": 2375
+    },
+    {
+      "epoch": 1.58311345646438,
+      "grad_norm": 10.47003173828125,
+      "learning_rate": 9.578479324144065e-06,
+      "loss": 0.6381,
+      "step": 2400
+    },
+    {
+      "epoch": 1.599604221635884,
+      "grad_norm": 9.593868255615234,
+      "learning_rate": 9.572921298354825e-06,
+      "loss": 0.6331,
+      "step": 2425
+    },
+    {
+      "epoch": 1.6160949868073877,
+      "grad_norm": 9.041787147521973,
+      "learning_rate": 9.567363272565585e-06,
+      "loss": 0.6333,
+      "step": 2450
+    },
+    {
+      "epoch": 1.6325857519788918,
+      "grad_norm": 10.436051368713379,
+      "learning_rate": 9.561805246776345e-06,
+      "loss": 0.6992,
+      "step": 2475
+    },
+    {
+      "epoch": 1.6490765171503958,
+      "grad_norm": 10.629966735839844,
+      "learning_rate": 9.556247220987107e-06,
+      "loss": 0.6054,
+      "step": 2500
+    },
+    {
+      "epoch": 1.6655672823218999,
+      "grad_norm": 9.051644325256348,
+      "learning_rate": 9.550689195197867e-06,
+      "loss": 0.6326,
+      "step": 2525
+    },
+    {
+      "epoch": 1.6820580474934037,
+      "grad_norm": 10.509145736694336,
+      "learning_rate": 9.545131169408627e-06,
+      "loss": 0.5865,
+      "step": 2550
+    },
+    {
+      "epoch": 1.6985488126649075,
+      "grad_norm": 10.23874568939209,
+      "learning_rate": 9.539573143619387e-06,
+      "loss": 0.6688,
+      "step": 2575
+    },
+    {
+      "epoch": 1.7150395778364116,
+      "grad_norm": 9.89738655090332,
+      "learning_rate": 9.534015117830148e-06,
+      "loss": 0.6056,
+      "step": 2600
+    },
+    {
+      "epoch": 1.7315303430079156,
+      "grad_norm": 7.859192848205566,
+      "learning_rate": 9.528457092040908e-06,
+      "loss": 0.6504,
+      "step": 2625
+    },
+    {
+      "epoch": 1.7480211081794197,
+      "grad_norm": 6.974312782287598,
+      "learning_rate": 9.522899066251668e-06,
+      "loss": 0.6634,
+      "step": 2650
+    },
+    {
+      "epoch": 1.7645118733509235,
+      "grad_norm": 8.40381145477295,
+      "learning_rate": 9.517341040462428e-06,
+      "loss": 0.562,
+      "step": 2675
+    },
+    {
+      "epoch": 1.7810026385224274,
+      "grad_norm": 9.789514541625977,
+      "learning_rate": 9.511783014673188e-06,
+      "loss": 0.6344,
+      "step": 2700
+    },
+    {
+      "epoch": 1.7974934036939314,
+      "grad_norm": 10.27668285369873,
+      "learning_rate": 9.50622498888395e-06,
+      "loss": 0.6181,
+      "step": 2725
+    },
+    {
+      "epoch": 1.8139841688654355,
+      "grad_norm": 8.970308303833008,
+      "learning_rate": 9.500666963094709e-06,
+      "loss": 0.6289,
+      "step": 2750
+    },
+    {
+      "epoch": 1.8304749340369393,
+      "grad_norm": 18.562963485717773,
+      "learning_rate": 9.49510893730547e-06,
+      "loss": 0.5785,
+      "step": 2775
+    },
+    {
+      "epoch": 1.8469656992084431,
+      "grad_norm": 9.711603164672852,
+      "learning_rate": 9.48955091151623e-06,
+      "loss": 0.6709,
+      "step": 2800
+    },
+    {
+      "epoch": 1.8634564643799472,
+      "grad_norm": 6.827445983886719,
+      "learning_rate": 9.48399288572699e-06,
+      "loss": 0.5618,
+      "step": 2825
+    },
+    {
+      "epoch": 1.8799472295514512,
+      "grad_norm": 7.309730529785156,
+      "learning_rate": 9.47843485993775e-06,
+      "loss": 0.6147,
+      "step": 2850
+    },
+    {
+      "epoch": 1.8964379947229553,
+      "grad_norm": 8.898188591003418,
+      "learning_rate": 9.47287683414851e-06,
+      "loss": 0.6617,
+      "step": 2875
+    },
+    {
+      "epoch": 1.912928759894459,
+      "grad_norm": 9.802018165588379,
+      "learning_rate": 9.467318808359272e-06,
+      "loss": 0.607,
+      "step": 2900
+    },
+    {
+      "epoch": 1.929419525065963,
+      "grad_norm": 11.065816879272461,
+      "learning_rate": 9.461760782570032e-06,
+      "loss": 0.5876,
+      "step": 2925
+    },
+    {
+      "epoch": 1.945910290237467,
+      "grad_norm": 8.673478126525879,
+      "learning_rate": 9.456202756780792e-06,
+      "loss": 0.5708,
+      "step": 2950
+    },
+    {
+      "epoch": 1.962401055408971,
+      "grad_norm": 8.835992813110352,
+      "learning_rate": 9.450644730991552e-06,
+      "loss": 0.5943,
+      "step": 2975
+    },
+    {
+      "epoch": 1.978891820580475,
+      "grad_norm": 9.243196487426758,
+      "learning_rate": 9.445086705202314e-06,
+      "loss": 0.6245,
+      "step": 3000
+    },
+    {
+      "epoch": 1.995382585751979,
+      "grad_norm": 7.948757171630859,
+      "learning_rate": 9.439528679413074e-06,
+      "loss": 0.5756,
+      "step": 3025
+    },
+    {
+      "epoch": 2.0,
+      "eval_loss": 0.33147963881492615,
+      "eval_runtime": 1586.3717,
+      "eval_samples_per_second": 3.275,
+      "eval_steps_per_second": 1.638,
+      "eval_wer": 0.1471842086408254,
+      "step": 3032
+    },
+    {
+      "epoch": 2.0118733509234827,
+      "grad_norm": 9.14528751373291,
+      "learning_rate": 9.433970653623834e-06,
+      "loss": 0.5881,
+      "step": 3050
+    },
+    {
+      "epoch": 2.028364116094987,
+      "grad_norm": 6.768561840057373,
+      "learning_rate": 9.428412627834594e-06,
+      "loss": 0.5513,
+      "step": 3075
+    },
+    {
+      "epoch": 2.044854881266491,
+      "grad_norm": 6.91849422454834,
+      "learning_rate": 9.422854602045354e-06,
+      "loss": 0.5318,
+      "step": 3100
+    },
+    {
+      "epoch": 2.061345646437995,
+      "grad_norm": 10.172245025634766,
+      "learning_rate": 9.417296576256114e-06,
+      "loss": 0.5481,
+      "step": 3125
+    },
+    {
+      "epoch": 2.0778364116094985,
+      "grad_norm": 7.840974807739258,
+      "learning_rate": 9.411738550466874e-06,
+      "loss": 0.5453,
+      "step": 3150
+    },
+    {
+      "epoch": 2.0943271767810026,
+      "grad_norm": 10.709723472595215,
+      "learning_rate": 9.406180524677636e-06,
+      "loss": 0.5526,
+      "step": 3175
+    },
+    {
+      "epoch": 2.1108179419525066,
+      "grad_norm": 7.9419169425964355,
+      "learning_rate": 9.400622498888396e-06,
+      "loss": 0.5277,
+      "step": 3200
+    },
+    {
+      "epoch": 2.1273087071240107,
+      "grad_norm": 9.7705659866333,
+      "learning_rate": 9.395064473099156e-06,
+      "loss": 0.5574,
+      "step": 3225
+    },
+    {
+      "epoch": 2.1437994722955147,
+      "grad_norm": 6.695239067077637,
+      "learning_rate": 9.389506447309916e-06,
+      "loss": 0.5335,
+      "step": 3250
+    },
+    {
+      "epoch": 2.1602902374670183,
+      "grad_norm": 6.585846900939941,
+      "learning_rate": 9.383948421520677e-06,
+      "loss": 0.5108,
+      "step": 3275
+    },
+    {
+      "epoch": 2.1767810026385224,
+      "grad_norm": 7.804145336151123,
+      "learning_rate": 9.378390395731437e-06,
+      "loss": 0.5136,
+      "step": 3300
+    },
+    {
+      "epoch": 2.1932717678100264,
+      "grad_norm": 10.289584159851074,
+      "learning_rate": 9.372832369942197e-06,
+      "loss": 0.5409,
+      "step": 3325
+    },
+    {
+      "epoch": 2.2097625329815305,
+      "grad_norm": 10.98071002960205,
+      "learning_rate": 9.367274344152957e-06,
+      "loss": 0.5362,
+      "step": 3350
+    },
+    {
+      "epoch": 2.2262532981530345,
+      "grad_norm": 9.558561325073242,
+      "learning_rate": 9.361716318363719e-06,
+      "loss": 0.5324,
+      "step": 3375
+    },
+    {
+      "epoch": 2.242744063324538,
+      "grad_norm": 7.030877590179443,
+      "learning_rate": 9.356158292574479e-06,
+      "loss": 0.5889,
+      "step": 3400
+    },
+    {
+      "epoch": 2.259234828496042,
+      "grad_norm": 6.8814697265625,
+      "learning_rate": 9.350600266785239e-06,
+      "loss": 0.523,
+      "step": 3425
+    },
+    {
+      "epoch": 2.2757255936675462,
+      "grad_norm": 6.776719093322754,
+      "learning_rate": 9.345042240996e-06,
+      "loss": 0.5468,
+      "step": 3450
+    },
+    {
+      "epoch": 2.2922163588390503,
+      "grad_norm": 6.252242565155029,
+      "learning_rate": 9.33948421520676e-06,
+      "loss": 0.5775,
+      "step": 3475
+    },
+    {
+      "epoch": 2.308707124010554,
+      "grad_norm": 10.693267822265625,
+      "learning_rate": 9.33392618941752e-06,
+      "loss": 0.5281,
+      "step": 3500
+    },
+    {
+      "epoch": 2.325197889182058,
+      "grad_norm": 8.575288772583008,
+      "learning_rate": 9.32836816362828e-06,
+      "loss": 0.5695,
+      "step": 3525
+    },
+    {
+      "epoch": 2.341688654353562,
+      "grad_norm": 7.428770065307617,
+      "learning_rate": 9.322810137839041e-06,
+      "loss": 0.5466,
+      "step": 3550
+    },
+    {
+      "epoch": 2.358179419525066,
+      "grad_norm": 10.00837516784668,
+      "learning_rate": 9.317252112049801e-06,
+      "loss": 0.5537,
+      "step": 3575
+    },
+    {
+      "epoch": 2.37467018469657,
+      "grad_norm": 8.1272611618042,
+      "learning_rate": 9.311694086260561e-06,
+      "loss": 0.5876,
+      "step": 3600
+    },
+    {
+      "epoch": 2.3911609498680737,
+      "grad_norm": 6.853724956512451,
+      "learning_rate": 9.306136060471321e-06,
+      "loss": 0.5321,
+      "step": 3625
+    },
+    {
+      "epoch": 2.4076517150395778,
+      "grad_norm": 8.857322692871094,
+      "learning_rate": 9.300578034682081e-06,
+      "loss": 0.549,
+      "step": 3650
+    },
+    {
+      "epoch": 2.424142480211082,
+      "grad_norm": 8.530628204345703,
+      "learning_rate": 9.295020008892843e-06,
+      "loss": 0.6112,
+      "step": 3675
+    },
+    {
+      "epoch": 2.440633245382586,
+      "grad_norm": 7.353663444519043,
+      "learning_rate": 9.289461983103603e-06,
+      "loss": 0.5738,
+      "step": 3700
+    },
+    {
+      "epoch": 2.4571240105540895,
+      "grad_norm": 7.334917068481445,
+      "learning_rate": 9.283903957314363e-06,
+      "loss": 0.5684,
+      "step": 3725
+    },
+    {
+      "epoch": 2.4736147757255935,
+      "grad_norm": 9.152280807495117,
+      "learning_rate": 9.278345931525123e-06,
+      "loss": 0.5736,
+      "step": 3750
+    },
+    {
+      "epoch": 2.4901055408970976,
+      "grad_norm": 6.766674041748047,
+      "learning_rate": 9.272787905735884e-06,
+      "loss": 0.5036,
+      "step": 3775
+    },
+    {
+      "epoch": 2.5065963060686016,
+      "grad_norm": 9.731369972229004,
+      "learning_rate": 9.267229879946644e-06,
+      "loss": 0.5643,
+      "step": 3800
+    },
+    {
+      "epoch": 2.5230870712401057,
+      "grad_norm": 9.269509315490723,
+      "learning_rate": 9.261671854157403e-06,
+      "loss": 0.5074,
+      "step": 3825
+    },
+    {
+      "epoch": 2.5395778364116097,
+      "grad_norm": 10.63927936553955,
+      "learning_rate": 9.256113828368165e-06,
+      "loss": 0.5361,
+      "step": 3850
+    },
+    {
+      "epoch": 2.5560686015831133,
+      "grad_norm": 7.579345226287842,
+      "learning_rate": 9.250555802578925e-06,
+      "loss": 0.5388,
+      "step": 3875
+    },
+    {
+      "epoch": 2.5725593667546174,
+      "grad_norm": 8.379159927368164,
+      "learning_rate": 9.244997776789685e-06,
+      "loss": 0.5462,
+      "step": 3900
+    },
+    {
+      "epoch": 2.5890501319261214,
+      "grad_norm": 6.8499860763549805,
+      "learning_rate": 9.239439751000445e-06,
+      "loss": 0.5571,
+      "step": 3925
+    },
+    {
+      "epoch": 2.6055408970976255,
+      "grad_norm": 8.696283340454102,
+      "learning_rate": 9.233881725211206e-06,
+      "loss": 0.5593,
+      "step": 3950
+    },
+    {
+      "epoch": 2.622031662269129,
+      "grad_norm": 8.017210960388184,
+      "learning_rate": 9.228323699421966e-06,
+      "loss": 0.5044,
+      "step": 3975
+    },
+    {
+      "epoch": 2.638522427440633,
+      "grad_norm": 7.696545124053955,
+      "learning_rate": 9.222765673632726e-06,
+      "loss": 0.5696,
+      "step": 4000
+    },
+    {
+      "epoch": 2.655013192612137,
+      "grad_norm": 8.843703269958496,
+      "learning_rate": 9.217207647843486e-06,
+      "loss": 0.5285,
+      "step": 4025
+    },
+    {
+      "epoch": 2.6715039577836412,
+      "grad_norm": 9.353804588317871,
+      "learning_rate": 9.211649622054248e-06,
+      "loss": 0.5766,
+      "step": 4050
+    },
+    {
+      "epoch": 2.6879947229551453,
+      "grad_norm": 9.517998695373535,
+      "learning_rate": 9.206091596265008e-06,
+      "loss": 0.5299,
+      "step": 4075
+    },
+    {
+      "epoch": 2.7044854881266494,
+      "grad_norm": 8.601608276367188,
+      "learning_rate": 9.200533570475768e-06,
+      "loss": 0.5392,
+      "step": 4100
+    },
+    {
+      "epoch": 2.720976253298153,
+      "grad_norm": 8.98355770111084,
+      "learning_rate": 9.194975544686528e-06,
+      "loss": 0.5403,
+      "step": 4125
+    },
+    {
+      "epoch": 2.737467018469657,
+      "grad_norm": 8.31533145904541,
+      "learning_rate": 9.189417518897288e-06,
+      "loss": 0.5444,
+      "step": 4150
+    },
+    {
+      "epoch": 2.753957783641161,
+      "grad_norm": 8.77151107788086,
+      "learning_rate": 9.183859493108048e-06,
+      "loss": 0.4957,
+      "step": 4175
+    },
+    {
+      "epoch": 2.7704485488126647,
+      "grad_norm": 8.633058547973633,
+      "learning_rate": 9.178301467318808e-06,
+      "loss": 0.5124,
+      "step": 4200
+    },
+    {
+      "epoch": 2.7869393139841687,
+      "grad_norm": 6.91944694519043,
+      "learning_rate": 9.17274344152957e-06,
+      "loss": 0.5006,
+      "step": 4225
+    },
+    {
+      "epoch": 2.8034300791556728,
+      "grad_norm": 8.961416244506836,
+      "learning_rate": 9.16718541574033e-06,
+      "loss": 0.5394,
+      "step": 4250
+    },
+    {
+      "epoch": 2.819920844327177,
+      "grad_norm": 9.132115364074707,
+      "learning_rate": 9.16162738995109e-06,
+      "loss": 0.4883,
+      "step": 4275
+    },
+    {
+      "epoch": 2.836411609498681,
+      "grad_norm": 8.976722717285156,
+      "learning_rate": 9.15606936416185e-06,
+      "loss": 0.5483,
+      "step": 4300
+    },
+    {
+      "epoch": 2.852902374670185,
+      "grad_norm": 6.239002704620361,
+      "learning_rate": 9.15051133837261e-06,
+      "loss": 0.5395,
+      "step": 4325
+    },
+    {
+      "epoch": 2.8693931398416885,
+      "grad_norm": 8.597009658813477,
+      "learning_rate": 9.144953312583372e-06,
+      "loss": 0.5363,
+      "step": 4350
+    },
+    {
+      "epoch": 2.8858839050131926,
+      "grad_norm": 8.338591575622559,
+      "learning_rate": 9.139395286794132e-06,
+      "loss": 0.5185,
+      "step": 4375
+    },
+    {
+      "epoch": 2.9023746701846966,
+      "grad_norm": 7.570108890533447,
+      "learning_rate": 9.133837261004892e-06,
+      "loss": 0.5011,
+      "step": 4400
+    },
+    {
+      "epoch": 2.9188654353562007,
+      "grad_norm": 8.193133354187012,
+      "learning_rate": 9.128279235215652e-06,
+      "loss": 0.5201,
+      "step": 4425
+    },
+    {
+      "epoch": 2.9353562005277043,
+      "grad_norm": 8.535017013549805,
+      "learning_rate": 9.122721209426413e-06,
+      "loss": 0.5196,
+      "step": 4450
+    },
+    {
+      "epoch": 2.9518469656992083,
+      "grad_norm": 10.10825252532959,
+      "learning_rate": 9.117163183637173e-06,
+      "loss": 0.4601,
+      "step": 4475
+    },
+    {
+      "epoch": 2.9683377308707124,
+      "grad_norm": 9.440041542053223,
+      "learning_rate": 9.111605157847933e-06,
+      "loss": 0.5435,
+      "step": 4500
+    },
+    {
+      "epoch": 2.9848284960422165,
+      "grad_norm": 9.113434791564941,
+      "learning_rate": 9.106047132058693e-06,
+      "loss": 0.59,
+      "step": 4525
+    },
+    {
+      "epoch": 3.0,
+      "eval_loss": 0.31148383021354675,
+      "eval_runtime": 1520.788,
+      "eval_samples_per_second": 3.417,
+      "eval_steps_per_second": 1.708,
+      "eval_wer": 0.14428243891953857,
+      "step": 4548
+    },
+    {
+      "epoch": 3.0013192612137205,
+      "grad_norm": 6.392806529998779,
+      "learning_rate": 9.100489106269453e-06,
+      "loss": 0.5845,
+      "step": 4550
+    },
+    {
+      "epoch": 3.017810026385224,
+      "grad_norm": 8.058794021606445,
+      "learning_rate": 9.094931080480214e-06,
+      "loss": 0.4345,
+      "step": 4575
+    },
+    {
+      "epoch": 3.034300791556728,
+      "grad_norm": 7.85006856918335,
+      "learning_rate": 9.089373054690974e-06,
+      "loss": 0.4532,
+      "step": 4600
+    },
+    {
+      "epoch": 3.050791556728232,
+      "grad_norm": 9.823562622070312,
+      "learning_rate": 9.083815028901735e-06,
+      "loss": 0.4992,
+      "step": 4625
+    },
+    {
+      "epoch": 3.0672823218997363,
+      "grad_norm": 7.448474407196045,
+      "learning_rate": 9.078257003112495e-06,
+      "loss": 0.4648,
+      "step": 4650
+    },
+    {
+      "epoch": 3.0837730870712403,
+      "grad_norm": 6.409183502197266,
+      "learning_rate": 9.072698977323255e-06,
+      "loss": 0.4332,
+      "step": 4675
+    },
+    {
+      "epoch": 3.100263852242744,
+      "grad_norm": 8.675482749938965,
+      "learning_rate": 9.067140951534015e-06,
+      "loss": 0.4741,
+      "step": 4700
+    },
+    {
+      "epoch": 3.116754617414248,
+      "grad_norm": 7.694202423095703,
+      "learning_rate": 9.061582925744777e-06,
+      "loss": 0.5007,
+      "step": 4725
+    },
+    {
+      "epoch": 3.133245382585752,
+      "grad_norm": 8.39884090423584,
+      "learning_rate": 9.056024899955537e-06,
+      "loss": 0.4821,
+      "step": 4750
+    },
+    {
+      "epoch": 3.149736147757256,
+      "grad_norm": 9.592146873474121,
+      "learning_rate": 9.050466874166297e-06,
+      "loss": 0.4572,
+      "step": 4775
+    },
+    {
+      "epoch": 3.16622691292876,
+      "grad_norm": 10.090729713439941,
+      "learning_rate": 9.044908848377057e-06,
+      "loss": 0.5059,
+      "step": 4800
+    },
+    {
+      "epoch": 3.1827176781002637,
+      "grad_norm": 7.96800422668457,
+      "learning_rate": 9.039350822587819e-06,
+      "loss": 0.4581,
+      "step": 4825
+    },
+    {
+      "epoch": 3.199208443271768,
+      "grad_norm": 10.114542961120605,
+      "learning_rate": 9.033792796798579e-06,
+      "loss": 0.5104,
+      "step": 4850
+    },
+    {
+      "epoch": 3.215699208443272,
+      "grad_norm": 7.575864791870117,
+      "learning_rate": 9.028234771009339e-06,
+      "loss": 0.4697,
+      "step": 4875
+    },
+    {
+      "epoch": 3.232189973614776,
+      "grad_norm": 8.376447677612305,
+      "learning_rate": 9.022676745220099e-06,
+      "loss": 0.477,
+      "step": 4900
+    },
+    {
+      "epoch": 3.2486807387862795,
+      "grad_norm": 7.300264835357666,
+      "learning_rate": 9.017118719430859e-06,
+      "loss": 0.4581,
+      "step": 4925
+    },
+    {
+      "epoch": 3.2651715039577835,
+      "grad_norm": 8.129483222961426,
+      "learning_rate": 9.011560693641619e-06,
+      "loss": 0.5413,
+      "step": 4950
+    },
+    {
+      "epoch": 3.2816622691292876,
+      "grad_norm": 8.351349830627441,
+      "learning_rate": 9.006002667852379e-06,
+      "loss": 0.5203,
+      "step": 4975
+    },
+    {
+      "epoch": 3.2981530343007917,
+      "grad_norm": 8.101301193237305,
+      "learning_rate": 9.000444642063139e-06,
+      "loss": 0.4434,
+      "step": 5000
+    },
+    {
+      "epoch": 3.3146437994722957,
+      "grad_norm": 8.380141258239746,
+      "learning_rate": 8.9948866162739e-06,
+      "loss": 0.5014,
+      "step": 5025
+    },
+    {
+      "epoch": 3.3311345646437993,
+      "grad_norm": 6.295933723449707,
+      "learning_rate": 8.98932859048466e-06,
+      "loss": 0.5022,
+      "step": 5050
+    },
+    {
+      "epoch": 3.3476253298153034,
+      "grad_norm": 8.170040130615234,
+      "learning_rate": 8.98377056469542e-06,
+      "loss": 0.4938,
+      "step": 5075
+    },
+    {
+      "epoch": 3.3641160949868074,
+      "grad_norm": 8.715851783752441,
+      "learning_rate": 8.97821253890618e-06,
+      "loss": 0.469,
+      "step": 5100
+    },
+    {
+      "epoch": 3.3806068601583115,
+      "grad_norm": 8.525429725646973,
+      "learning_rate": 8.972654513116942e-06,
+      "loss": 0.4733,
+      "step": 5125
+    },
+    {
+      "epoch": 3.397097625329815,
+      "grad_norm": 9.116293907165527,
+      "learning_rate": 8.967096487327702e-06,
+      "loss": 0.4529,
+      "step": 5150
+    },
+    {
+      "epoch": 3.413588390501319,
+      "grad_norm": 7.459149360656738,
+      "learning_rate": 8.961538461538462e-06,
+      "loss": 0.4919,
+      "step": 5175
+    },
+    {
+      "epoch": 3.430079155672823,
+      "grad_norm": 12.199692726135254,
+      "learning_rate": 8.955980435749222e-06,
+      "loss": 0.4397,
+      "step": 5200
+    },
+    {
+      "epoch": 3.4465699208443272,
+      "grad_norm": 5.766480922698975,
+      "learning_rate": 8.950422409959984e-06,
+      "loss": 0.4934,
+      "step": 5225
+    },
+    {
+      "epoch": 3.4630606860158313,
+      "grad_norm": 8.253438949584961,
+      "learning_rate": 8.944864384170742e-06,
+      "loss": 0.487,
+      "step": 5250
+    },
+    {
+      "epoch": 3.4795514511873353,
+      "grad_norm": 7.708489894866943,
+      "learning_rate": 8.939306358381502e-06,
+      "loss": 0.4843,
+      "step": 5275
+    },
+    {
+      "epoch": 3.496042216358839,
+      "grad_norm": 7.353459358215332,
+      "learning_rate": 8.933748332592264e-06,
+      "loss": 0.4652,
+      "step": 5300
+    },
+    {
+      "epoch": 3.512532981530343,
+      "grad_norm": 11.070839881896973,
+      "learning_rate": 8.928190306803024e-06,
+      "loss": 0.5014,
+      "step": 5325
+    },
+    {
+      "epoch": 3.529023746701847,
+      "grad_norm": 6.638571262359619,
+      "learning_rate": 8.922632281013784e-06,
+      "loss": 0.5049,
+      "step": 5350
+    },
+    {
+      "epoch": 3.5455145118733506,
+      "grad_norm": 5.465677261352539,
+      "learning_rate": 8.917074255224544e-06,
+      "loss": 0.4593,
+      "step": 5375
+    },
+    {
+      "epoch": 3.5620052770448547,
+      "grad_norm": 6.364098072052002,
+      "learning_rate": 8.911516229435306e-06,
+      "loss": 0.4506,
+      "step": 5400
+    },
+    {
+      "epoch": 3.5784960422163588,
+      "grad_norm": 6.888390064239502,
+      "learning_rate": 8.905958203646066e-06,
+      "loss": 0.4435,
+      "step": 5425
+    },
+    {
+      "epoch": 3.594986807387863,
+      "grad_norm": 8.262774467468262,
+      "learning_rate": 8.900400177856826e-06,
+      "loss": 0.501,
+      "step": 5450
+    },
+    {
+      "epoch": 3.611477572559367,
+      "grad_norm": 10.522833824157715,
+      "learning_rate": 8.894842152067586e-06,
+      "loss": 0.5003,
+      "step": 5475
+    },
+    {
+      "epoch": 3.627968337730871,
+      "grad_norm": 9.361923217773438,
+      "learning_rate": 8.889284126278348e-06,
+      "loss": 0.4184,
+      "step": 5500
+    },
+    {
+      "epoch": 3.6444591029023745,
+      "grad_norm": 11.22805404663086,
+      "learning_rate": 8.883726100489108e-06,
+      "loss": 0.4803,
+      "step": 5525
+    },
+    {
+      "epoch": 3.6609498680738786,
+      "grad_norm": 6.513778209686279,
+      "learning_rate": 8.878168074699868e-06,
+      "loss": 0.5071,
+      "step": 5550
+    },
+    {
+      "epoch": 3.6774406332453826,
+      "grad_norm": 7.134753227233887,
+      "learning_rate": 8.872610048910628e-06,
+      "loss": 0.4784,
+      "step": 5575
+    },
+    {
+      "epoch": 3.6939313984168867,
+      "grad_norm": 7.034178733825684,
+      "learning_rate": 8.867052023121388e-06,
+      "loss": 0.4687,
+      "step": 5600
+    },
+    {
+      "epoch": 3.7104221635883903,
+      "grad_norm": 5.566599369049072,
+      "learning_rate": 8.861493997332148e-06,
+      "loss": 0.5028,
+      "step": 5625
+    },
+    {
+      "epoch": 3.7269129287598943,
+      "grad_norm": 8.106322288513184,
+      "learning_rate": 8.855935971542908e-06,
+      "loss": 0.4644,
+      "step": 5650
+    },
+    {
+      "epoch": 3.7434036939313984,
+      "grad_norm": 7.244205951690674,
+      "learning_rate": 8.85037794575367e-06,
+      "loss": 0.4561,
+      "step": 5675
+    },
+    {
+      "epoch": 3.7598944591029024,
+      "grad_norm": 9.410643577575684,
+      "learning_rate": 8.84481991996443e-06,
+      "loss": 0.4611,
+      "step": 5700
+    },
+    {
+      "epoch": 3.7763852242744065,
+      "grad_norm": 5.8635687828063965,
+      "learning_rate": 8.83926189417519e-06,
+      "loss": 0.4702,
+      "step": 5725
+    },
+    {
+      "epoch": 3.7928759894459105,
+      "grad_norm": 7.882669448852539,
+      "learning_rate": 8.83370386838595e-06,
+      "loss": 0.4609,
+      "step": 5750
+    },
+    {
+      "epoch": 3.809366754617414,
+      "grad_norm": 8.896418571472168,
+      "learning_rate": 8.82814584259671e-06,
+      "loss": 0.4812,
+      "step": 5775
+    },
+    {
+      "epoch": 3.825857519788918,
+      "grad_norm": 6.063759803771973,
+      "learning_rate": 8.822587816807471e-06,
+      "loss": 0.5068,
+      "step": 5800
+    },
+    {
+      "epoch": 3.8423482849604222,
+      "grad_norm": 7.969833850860596,
+      "learning_rate": 8.817029791018231e-06,
+      "loss": 0.4726,
+      "step": 5825
+    },
+    {
+      "epoch": 3.858839050131926,
+      "grad_norm": 7.975457191467285,
+      "learning_rate": 8.811471765228991e-06,
+      "loss": 0.4773,
+      "step": 5850
+    },
+    {
+      "epoch": 3.87532981530343,
+      "grad_norm": 7.696924209594727,
+      "learning_rate": 8.805913739439751e-06,
+      "loss": 0.4699,
+      "step": 5875
+    },
+    {
+      "epoch": 3.891820580474934,
+      "grad_norm": 7.673986911773682,
+      "learning_rate": 8.800355713650513e-06,
+      "loss": 0.4245,
+      "step": 5900
+    },
+    {
+      "epoch": 3.908311345646438,
+      "grad_norm": 7.145058631896973,
+      "learning_rate": 8.794797687861273e-06,
+      "loss": 0.4492,
+      "step": 5925
+    },
+    {
+      "epoch": 3.924802110817942,
+      "grad_norm": 6.980532646179199,
+      "learning_rate": 8.789239662072033e-06,
+      "loss": 0.4476,
+      "step": 5950
+    },
+    {
+      "epoch": 3.941292875989446,
+      "grad_norm": 5.808567047119141,
+      "learning_rate": 8.783681636282793e-06,
+      "loss": 0.4633,
+      "step": 5975
+    },
+    {
+      "epoch": 3.9577836411609497,
+      "grad_norm": 9.074129104614258,
+      "learning_rate": 8.778123610493553e-06,
+      "loss": 0.4576,
+      "step": 6000
+    },
+    {
+      "epoch": 3.9742744063324538,
+      "grad_norm": 8.285755157470703,
+      "learning_rate": 8.772565584704313e-06,
+      "loss": 0.4938,
+      "step": 6025
+    },
+    {
+      "epoch": 3.990765171503958,
+      "grad_norm": 7.264706611633301,
+      "learning_rate": 8.767007558915073e-06,
+      "loss": 0.4727,
+      "step": 6050
+    },
+    {
+      "epoch": 4.0,
+      "eval_loss": 0.30439668893814087,
+      "eval_runtime": 1406.1275,
+      "eval_samples_per_second": 3.695,
+      "eval_steps_per_second": 1.848,
+      "eval_wer": 0.12903919180339615,
+      "step": 6064
+    },
+    {
+      "epoch": 4.007255936675461,
+      "grad_norm": 9.51659870147705,
+      "learning_rate": 8.761449533125835e-06,
+      "loss": 0.4168,
+      "step": 6075
+    },
+    {
+      "epoch": 4.0237467018469655,
+      "grad_norm": 8.642926216125488,
+      "learning_rate": 8.755891507336595e-06,
+      "loss": 0.4274,
+      "step": 6100
+    },
+    {
+      "epoch": 4.0402374670184695,
+      "grad_norm": 7.2832489013671875,
+      "learning_rate": 8.750333481547355e-06,
+      "loss": 0.427,
+      "step": 6125
+    },
+    {
+      "epoch": 4.056728232189974,
+      "grad_norm": 8.79689884185791,
+      "learning_rate": 8.744775455758115e-06,
+      "loss": 0.4192,
+      "step": 6150
+    },
+    {
+      "epoch": 4.073218997361478,
+      "grad_norm": 8.33678150177002,
+      "learning_rate": 8.739217429968877e-06,
+      "loss": 0.467,
+      "step": 6175
+    },
+    {
+      "epoch": 4.089709762532982,
+      "grad_norm": 9.119438171386719,
+      "learning_rate": 8.733659404179637e-06,
+      "loss": 0.4396,
+      "step": 6200
+    },
+    {
+      "epoch": 4.106200527704486,
+      "grad_norm": 5.395960807800293,
+      "learning_rate": 8.728101378390397e-06,
+      "loss": 0.4144,
+      "step": 6225
+    },
+    {
+      "epoch": 4.12269129287599,
+      "grad_norm": 7.0732102394104,
+      "learning_rate": 8.722543352601157e-06,
+      "loss": 0.4201,
+      "step": 6250
+    },
+    {
+      "epoch": 4.139182058047494,
+      "grad_norm": 7.840185165405273,
+      "learning_rate": 8.716985326811917e-06,
+      "loss": 0.4212,
+      "step": 6275
+    },
+    {
+      "epoch": 4.155672823218997,
+      "grad_norm": 10.627087593078613,
+      "learning_rate": 8.711427301022678e-06,
+      "loss": 0.4046,
+      "step": 6300
+    },
+    {
+      "epoch": 4.172163588390501,
+      "grad_norm": 6.872922897338867,
+      "learning_rate": 8.705869275233437e-06,
+      "loss": 0.4225,
+      "step": 6325
+    },
+    {
+      "epoch": 4.188654353562005,
+      "grad_norm": 9.158402442932129,
+      "learning_rate": 8.700311249444198e-06,
+      "loss": 0.4105,
+      "step": 6350
+    },
+    {
+      "epoch": 4.205145118733509,
+      "grad_norm": 6.458835124969482,
+      "learning_rate": 8.694753223654958e-06,
+      "loss": 0.3805,
+      "step": 6375
+    },
+    {
+      "epoch": 4.221635883905013,
+      "grad_norm": 8.311756134033203,
+      "learning_rate": 8.689195197865719e-06,
+      "loss": 0.3907,
+      "step": 6400
+    },
+    {
+      "epoch": 4.238126649076517,
+      "grad_norm": 7.731131076812744,
+      "learning_rate": 8.683637172076479e-06,
+      "loss": 0.4104,
+      "step": 6425
+    },
+    {
+      "epoch": 4.254617414248021,
+      "grad_norm": 8.254470825195312,
+      "learning_rate": 8.678079146287239e-06,
+      "loss": 0.4037,
+      "step": 6450
+    },
+    {
+      "epoch": 4.271108179419525,
+      "grad_norm": 6.898271560668945,
+      "learning_rate": 8.672521120498e-06,
+      "loss": 0.4715,
+      "step": 6475
+    },
+    {
+      "epoch": 4.287598944591029,
+      "grad_norm": 6.904751777648926,
+      "learning_rate": 8.66696309470876e-06,
+      "loss": 0.4213,
+      "step": 6500
+    },
+    {
+      "epoch": 4.304089709762533,
+      "grad_norm": 8.848785400390625,
+      "learning_rate": 8.66140506891952e-06,
+      "loss": 0.406,
+      "step": 6525
+    },
+    {
+      "epoch": 4.320580474934037,
+      "grad_norm": 8.48416805267334,
+      "learning_rate": 8.65584704313028e-06,
+      "loss": 0.4219,
+      "step": 6550
+    },
+    {
+      "epoch": 4.337071240105541,
+      "grad_norm": 10.504020690917969,
+      "learning_rate": 8.650289017341042e-06,
+      "loss": 0.4611,
+      "step": 6575
+    },
+    {
+      "epoch": 4.353562005277045,
+      "grad_norm": 9.928447723388672,
+      "learning_rate": 8.644730991551802e-06,
+      "loss": 0.4566,
+      "step": 6600
+    },
+    {
+      "epoch": 4.370052770448549,
+      "grad_norm": 8.590391159057617,
+      "learning_rate": 8.639172965762562e-06,
+      "loss": 0.4143,
+      "step": 6625
+    },
+    {
+      "epoch": 4.386543535620053,
+      "grad_norm": 9.111311912536621,
+      "learning_rate": 8.633614939973322e-06,
+      "loss": 0.4046,
+      "step": 6650
+    },
+    {
+      "epoch": 4.403034300791557,
+      "grad_norm": 8.099916458129883,
+      "learning_rate": 8.628056914184082e-06,
+      "loss": 0.4309,
+      "step": 6675
+    },
+    {
+      "epoch": 4.419525065963061,
+      "grad_norm": 8.059656143188477,
+      "learning_rate": 8.622498888394842e-06,
+      "loss": 0.4764,
+      "step": 6700
+    },
+    {
+      "epoch": 4.436015831134565,
+      "grad_norm": 7.070877552032471,
+      "learning_rate": 8.616940862605602e-06,
+      "loss": 0.4682,
+      "step": 6725
+    },
+    {
+      "epoch": 4.452506596306069,
+      "grad_norm": 10.665205955505371,
+      "learning_rate": 8.611382836816364e-06,
+      "loss": 0.4091,
+      "step": 6750
+    },
+    {
+      "epoch": 4.468997361477572,
+      "grad_norm": 7.845228672027588,
+      "learning_rate": 8.605824811027124e-06,
+      "loss": 0.4549,
+      "step": 6775
+    },
+    {
+      "epoch": 4.485488126649076,
+      "grad_norm": 8.280657768249512,
+      "learning_rate": 8.600266785237884e-06,
+      "loss": 0.4166,
+      "step": 6800
+    },
+    {
+      "epoch": 4.50197889182058,
+      "grad_norm": 9.942441940307617,
+      "learning_rate": 8.594708759448644e-06,
+      "loss": 0.4164,
+      "step": 6825
+    },
+    {
+      "epoch": 4.518469656992084,
+      "grad_norm": 7.303974151611328,
+      "learning_rate": 8.589150733659406e-06,
+      "loss": 0.4455,
+      "step": 6850
+    },
+    {
+      "epoch": 4.534960422163588,
+      "grad_norm": 9.158472061157227,
+      "learning_rate": 8.583592707870166e-06,
+      "loss": 0.4324,
+      "step": 6875
+    },
+    {
+      "epoch": 4.5514511873350925,
+      "grad_norm": 8.51202392578125,
+      "learning_rate": 8.578034682080926e-06,
+      "loss": 0.4393,
+      "step": 6900
+    },
+    {
+      "epoch": 4.5679419525065965,
+      "grad_norm": 8.030768394470215,
+      "learning_rate": 8.572476656291686e-06,
+      "loss": 0.4463,
+      "step": 6925
+    },
+    {
+      "epoch": 4.584432717678101,
+      "grad_norm": 9.200541496276855,
+      "learning_rate": 8.566918630502447e-06,
+      "loss": 0.4654,
+      "step": 6950
+    },
+    {
+      "epoch": 4.600923482849604,
+      "grad_norm": 8.542319297790527,
+      "learning_rate": 8.561360604713207e-06,
+      "loss": 0.4101,
+      "step": 6975
+    },
+    {
+      "epoch": 4.617414248021108,
+      "grad_norm": 7.467373847961426,
+      "learning_rate": 8.555802578923967e-06,
+      "loss": 0.4343,
+      "step": 7000
+    },
+    {
+      "epoch": 4.633905013192612,
+      "grad_norm": 6.186234474182129,
+      "learning_rate": 8.550244553134727e-06,
+      "loss": 0.4718,
+      "step": 7025
+    },
+    {
+      "epoch": 4.650395778364116,
+      "grad_norm": 9.750950813293457,
+      "learning_rate": 8.544686527345487e-06,
+      "loss": 0.4141,
+      "step": 7050
+    },
+    {
+      "epoch": 4.66688654353562,
+      "grad_norm": 7.7578253746032715,
+      "learning_rate": 8.539128501556247e-06,
+      "loss": 0.4167,
+      "step": 7075
+    },
+    {
+      "epoch": 4.683377308707124,
+      "grad_norm": 5.445390224456787,
+      "learning_rate": 8.533570475767007e-06,
+      "loss": 0.4324,
+      "step": 7100
+    },
+    {
+      "epoch": 4.699868073878628,
+      "grad_norm": 9.907746315002441,
+      "learning_rate": 8.52801244997777e-06,
+      "loss": 0.4258,
+      "step": 7125
+    },
+    {
+      "epoch": 4.716358839050132,
+      "grad_norm": 8.552475929260254,
+      "learning_rate": 8.52245442418853e-06,
+      "loss": 0.4233,
+      "step": 7150
+    },
+    {
+      "epoch": 4.732849604221636,
+      "grad_norm": 8.171768188476562,
+      "learning_rate": 8.51689639839929e-06,
+      "loss": 0.3845,
+      "step": 7175
+    },
+    {
+      "epoch": 4.74934036939314,
+      "grad_norm": 9.57198429107666,
+      "learning_rate": 8.51133837261005e-06,
+      "loss": 0.4482,
+      "step": 7200
+    },
+    {
+      "epoch": 4.765831134564644,
+      "grad_norm": 8.749096870422363,
+      "learning_rate": 8.50578034682081e-06,
+      "loss": 0.4512,
+      "step": 7225
+    },
+    {
+      "epoch": 4.782321899736147,
+      "grad_norm": 6.986504554748535,
+      "learning_rate": 8.500222321031571e-06,
+      "loss": 0.4268,
+      "step": 7250
+    },
+    {
+      "epoch": 4.7988126649076515,
+      "grad_norm": 7.843720436096191,
+      "learning_rate": 8.494664295242331e-06,
+      "loss": 0.4414,
+      "step": 7275
+    },
+    {
+      "epoch": 4.8153034300791555,
+      "grad_norm": 7.746464252471924,
+      "learning_rate": 8.489106269453091e-06,
+      "loss": 0.3829,
+      "step": 7300
+    },
+    {
+      "epoch": 4.83179419525066,
+      "grad_norm": 6.705915451049805,
+      "learning_rate": 8.483548243663851e-06,
+      "loss": 0.3767,
+      "step": 7325
+    },
+    {
+      "epoch": 4.848284960422164,
+      "grad_norm": 6.143075466156006,
+      "learning_rate": 8.477990217874613e-06,
+      "loss": 0.4318,
+      "step": 7350
+    },
+    {
+      "epoch": 4.864775725593668,
+      "grad_norm": 9.569985389709473,
+      "learning_rate": 8.472432192085373e-06,
+      "loss": 0.4184,
+      "step": 7375
+    },
+    {
+      "epoch": 4.881266490765172,
+      "grad_norm": 6.865624904632568,
+      "learning_rate": 8.466874166296131e-06,
+      "loss": 0.3741,
+      "step": 7400
+    },
+    {
+      "epoch": 4.897757255936676,
+      "grad_norm": 8.196345329284668,
+      "learning_rate": 8.461316140506893e-06,
+      "loss": 0.4535,
+      "step": 7425
+    },
+    {
+      "epoch": 4.914248021108179,
+      "grad_norm": 6.617861747741699,
+      "learning_rate": 8.455758114717653e-06,
+      "loss": 0.3955,
+      "step": 7450
+    },
+    {
+      "epoch": 4.930738786279683,
+      "grad_norm": 6.829433441162109,
+      "learning_rate": 8.450200088928413e-06,
+      "loss": 0.3856,
+      "step": 7475
+    },
+    {
+      "epoch": 4.947229551451187,
+      "grad_norm": 7.319567680358887,
+      "learning_rate": 8.444642063139173e-06,
+      "loss": 0.438,
+      "step": 7500
+    },
+    {
+      "epoch": 4.963720316622691,
+      "grad_norm": 7.047403812408447,
+      "learning_rate": 8.439084037349935e-06,
+      "loss": 0.4061,
+      "step": 7525
+    },
+    {
+      "epoch": 4.980211081794195,
+      "grad_norm": 9.969358444213867,
+      "learning_rate": 8.433526011560695e-06,
+      "loss": 0.392,
+      "step": 7550
+    },
+    {
+      "epoch": 4.996701846965699,
+      "grad_norm": 8.516345977783203,
+      "learning_rate": 8.427967985771455e-06,
+      "loss": 0.4134,
+      "step": 7575
+    },
+    {
+      "epoch": 5.0,
+      "eval_loss": 0.3021000921726227,
+      "eval_runtime": 1273.4915,
+      "eval_samples_per_second": 4.08,
+      "eval_steps_per_second": 2.04,
+      "eval_wer": 0.12830479329368777,
+      "step": 7580
+    },
+    {
+      "epoch": 5.013192612137203,
+      "grad_norm": 7.070035457611084,
+      "learning_rate": 8.422409959982215e-06,
+      "loss": 0.3749,
+      "step": 7600
+    },
+    {
+      "epoch": 5.029683377308707,
+      "grad_norm": 6.715669631958008,
+      "learning_rate": 8.416851934192976e-06,
+      "loss": 0.3547,
+      "step": 7625
+    },
+    {
+      "epoch": 5.046174142480211,
+      "grad_norm": 6.825494766235352,
+      "learning_rate": 8.411293908403736e-06,
+      "loss": 0.3513,
+      "step": 7650
+    },
+    {
+      "epoch": 5.062664907651715,
+      "grad_norm": 9.53160572052002,
+      "learning_rate": 8.405735882614496e-06,
+      "loss": 0.3648,
+      "step": 7675
+    },
+    {
+      "epoch": 5.0791556728232194,
+      "grad_norm": 5.551097393035889,
+      "learning_rate": 8.400177856825256e-06,
+      "loss": 0.3457,
+      "step": 7700
+    },
+    {
+      "epoch": 5.095646437994723,
+      "grad_norm": 8.277714729309082,
+      "learning_rate": 8.394619831036016e-06,
+      "loss": 0.3598,
+      "step": 7725
+    },
+    {
+      "epoch": 5.112137203166227,
+      "grad_norm": 7.182380199432373,
+      "learning_rate": 8.389061805246776e-06,
+      "loss": 0.3625,
+      "step": 7750
+    },
+    {
+      "epoch": 5.128627968337731,
+      "grad_norm": 7.097862243652344,
+      "learning_rate": 8.383503779457536e-06,
+      "loss": 0.4117,
+      "step": 7775
+    },
+    {
+      "epoch": 5.145118733509235,
+      "grad_norm": 5.849909782409668,
+      "learning_rate": 8.377945753668298e-06,
+      "loss": 0.3609,
+      "step": 7800
+    },
+    {
+      "epoch": 5.161609498680739,
+      "grad_norm": 7.363701343536377,
+      "learning_rate": 8.372387727879058e-06,
+      "loss": 0.3826,
+      "step": 7825
+    },
+    {
+      "epoch": 5.178100263852243,
+      "grad_norm": 6.545772075653076,
+      "learning_rate": 8.366829702089818e-06,
+      "loss": 0.3679,
+      "step": 7850
+    },
+    {
+      "epoch": 5.194591029023747,
+      "grad_norm": 11.929193496704102,
+      "learning_rate": 8.361271676300578e-06,
+      "loss": 0.3753,
+      "step": 7875
+    },
+    {
+      "epoch": 5.211081794195251,
+      "grad_norm": 6.836696624755859,
+      "learning_rate": 8.355713650511338e-06,
+      "loss": 0.3905,
+      "step": 7900
+    },
+    {
+      "epoch": 5.227572559366755,
+      "grad_norm": 9.196709632873535,
+      "learning_rate": 8.3501556247221e-06,
+      "loss": 0.364,
+      "step": 7925
+    },
+    {
+      "epoch": 5.244063324538258,
+      "grad_norm": 8.637734413146973,
+      "learning_rate": 8.34459759893286e-06,
+      "loss": 0.3797,
+      "step": 7950
+    },
+    {
+      "epoch": 5.260554089709762,
+      "grad_norm": 9.510890007019043,
+      "learning_rate": 8.33903957314362e-06,
+      "loss": 0.3592,
+      "step": 7975
+    },
+    {
+      "epoch": 5.277044854881266,
+      "grad_norm": 5.116422176361084,
+      "learning_rate": 8.33348154735438e-06,
+      "loss": 0.4121,
+      "step": 8000
+    },
+    {
+      "epoch": 5.29353562005277,
+      "grad_norm": 5.724400997161865,
+      "learning_rate": 8.327923521565142e-06,
+      "loss": 0.3679,
+      "step": 8025
+    },
+    {
+      "epoch": 5.310026385224274,
+      "grad_norm": 6.654912948608398,
+      "learning_rate": 8.322365495775902e-06,
+      "loss": 0.3784,
+      "step": 8050
+    },
+    {
+      "epoch": 5.326517150395778,
+      "grad_norm": 6.645880222320557,
+      "learning_rate": 8.316807469986662e-06,
+      "loss": 0.3809,
+      "step": 8075
+    },
+    {
+      "epoch": 5.3430079155672825,
+      "grad_norm": 7.6851091384887695,
+      "learning_rate": 8.311249444197422e-06,
+      "loss": 0.3949,
+      "step": 8100
+    },
+    {
+      "epoch": 5.3594986807387865,
+      "grad_norm": 6.103472709655762,
+      "learning_rate": 8.305691418408182e-06,
+      "loss": 0.3656,
+      "step": 8125
+    },
+    {
+      "epoch": 5.375989445910291,
+      "grad_norm": 7.165574073791504,
+      "learning_rate": 8.300133392618942e-06,
+      "loss": 0.3331,
+      "step": 8150
+    },
+    {
+      "epoch": 5.392480211081795,
+      "grad_norm": 5.427399635314941,
+      "learning_rate": 8.294575366829702e-06,
+      "loss": 0.349,
+      "step": 8175
+    },
+    {
+      "epoch": 5.408970976253298,
+      "grad_norm": 7.878599643707275,
+      "learning_rate": 8.289017341040463e-06,
+      "loss": 0.3861,
+      "step": 8200
+    },
+    {
+      "epoch": 5.425461741424802,
+      "grad_norm": 9.836017608642578,
+      "learning_rate": 8.283459315251223e-06,
+      "loss": 0.4138,
+      "step": 8225
+    },
+    {
+      "epoch": 5.441952506596306,
+      "grad_norm": 7.767301559448242,
+      "learning_rate": 8.277901289461984e-06,
+      "loss": 0.4012,
+      "step": 8250
+    },
+    {
+      "epoch": 5.45844327176781,
+      "grad_norm": 8.52707576751709,
+      "learning_rate": 8.272343263672744e-06,
+      "loss": 0.3942,
+      "step": 8275
+    },
+    {
+      "epoch": 5.474934036939314,
+      "grad_norm": 8.378703117370605,
+      "learning_rate": 8.266785237883505e-06,
+      "loss": 0.3718,
+      "step": 8300
+    },
+    {
+      "epoch": 5.491424802110818,
+      "grad_norm": 7.213738918304443,
+      "learning_rate": 8.261227212094265e-06,
+      "loss": 0.3959,
+      "step": 8325
+    },
+    {
+      "epoch": 5.507915567282322,
+      "grad_norm": 8.569686889648438,
+      "learning_rate": 8.255669186305025e-06,
+      "loss": 0.4553,
+      "step": 8350
+    },
+    {
+      "epoch": 5.524406332453826,
+      "grad_norm": 8.710777282714844,
+      "learning_rate": 8.250111160515785e-06,
+      "loss": 0.3511,
+      "step": 8375
+    },
+    {
+      "epoch": 5.540897097625329,
+      "grad_norm": 8.045042037963867,
+      "learning_rate": 8.244553134726547e-06,
+      "loss": 0.3977,
+      "step": 8400
+    },
+    {
+      "epoch": 5.557387862796833,
+      "grad_norm": 6.2842254638671875,
+      "learning_rate": 8.238995108937307e-06,
+      "loss": 0.374,
+      "step": 8425
+    },
+    {
+      "epoch": 5.573878627968337,
+      "grad_norm": 8.507267951965332,
+      "learning_rate": 8.233437083148067e-06,
+      "loss": 0.4065,
+      "step": 8450
+    },
+    {
+      "epoch": 5.5903693931398415,
+      "grad_norm": 7.953192234039307,
+      "learning_rate": 8.227879057358827e-06,
+      "loss": 0.4024,
+      "step": 8475
+    },
+    {
+      "epoch": 5.6068601583113455,
+      "grad_norm": 5.938470840454102,
+      "learning_rate": 8.222321031569587e-06,
+      "loss": 0.369,
+      "step": 8500
+    },
+    {
+      "epoch": 5.62335092348285,
+      "grad_norm": 8.270731925964355,
+      "learning_rate": 8.216763005780347e-06,
+      "loss": 0.3962,
+      "step": 8525
+    },
+    {
+      "epoch": 5.639841688654354,
+      "grad_norm": 8.280898094177246,
+      "learning_rate": 8.211204979991107e-06,
+      "loss": 0.3711,
+      "step": 8550
+    },
+    {
+      "epoch": 5.656332453825858,
+      "grad_norm": 8.00169849395752,
+      "learning_rate": 8.205646954201867e-06,
+      "loss": 0.4316,
+      "step": 8575
+    },
+    {
+      "epoch": 5.672823218997362,
+      "grad_norm": 6.38738489151001,
+      "learning_rate": 8.200088928412629e-06,
+      "loss": 0.409,
+      "step": 8600
+    },
+    {
+      "epoch": 5.689313984168866,
+      "grad_norm": 8.060171127319336,
+      "learning_rate": 8.194753223654958e-06,
+      "loss": 0.3912,
+      "step": 8625
+    },
+    {
+      "epoch": 5.70580474934037,
+      "grad_norm": 7.570400238037109,
+      "learning_rate": 8.18919519786572e-06,
+      "loss": 0.4043,
+      "step": 8650
+    },
+    {
+      "epoch": 5.722295514511873,
+      "grad_norm": 6.873922824859619,
+      "learning_rate": 8.18363717207648e-06,
+      "loss": 0.3764,
+      "step": 8675
+    },
+    {
+      "epoch": 5.738786279683377,
+      "grad_norm": 7.591399669647217,
+      "learning_rate": 8.17807914628724e-06,
+      "loss": 0.3745,
+      "step": 8700
+    },
+    {
+      "epoch": 5.755277044854881,
+      "grad_norm": 8.414856910705566,
+      "learning_rate": 8.172521120498e-06,
+      "loss": 0.4268,
+      "step": 8725
+    },
+    {
+      "epoch": 5.771767810026385,
+      "grad_norm": 9.1331148147583,
+      "learning_rate": 8.16696309470876e-06,
+      "loss": 0.3676,
+      "step": 8750
+    },
+    {
+      "epoch": 5.788258575197889,
+      "grad_norm": 6.92949104309082,
+      "learning_rate": 8.16140506891952e-06,
+      "loss": 0.3932,
+      "step": 8775
+    },
+    {
+      "epoch": 5.804749340369393,
+      "grad_norm": 6.618691444396973,
+      "learning_rate": 8.15584704313028e-06,
+      "loss": 0.371,
+      "step": 8800
+    },
+    {
+      "epoch": 5.821240105540897,
+      "grad_norm": 8.719780921936035,
+      "learning_rate": 8.150289017341042e-06,
+      "loss": 0.4156,
+      "step": 8825
+    },
+    {
+      "epoch": 5.837730870712401,
+      "grad_norm": 4.5113525390625,
+      "learning_rate": 8.144730991551802e-06,
+      "loss": 0.4222,
+      "step": 8850
+    },
+    {
+      "epoch": 5.8542216358839045,
+      "grad_norm": 7.771907329559326,
+      "learning_rate": 8.139172965762562e-06,
+      "loss": 0.3476,
+      "step": 8875
+    },
+    {
+      "epoch": 5.870712401055409,
+      "grad_norm": 8.649697303771973,
+      "learning_rate": 8.133614939973322e-06,
+      "loss": 0.3834,
+      "step": 8900
+    },
+    {
+      "epoch": 5.887203166226913,
+      "grad_norm": 11.093376159667969,
+      "learning_rate": 8.128056914184082e-06,
+      "loss": 0.3735,
+      "step": 8925
+    },
+    {
+      "epoch": 5.903693931398417,
+      "grad_norm": 7.354765892028809,
+      "learning_rate": 8.122498888394843e-06,
+      "loss": 0.3949,
+      "step": 8950
+    },
+    {
+      "epoch": 5.920184696569921,
+      "grad_norm": 8.032320022583008,
+      "learning_rate": 8.116940862605604e-06,
+      "loss": 0.3853,
+      "step": 8975
+    },
+    {
+      "epoch": 5.936675461741425,
+      "grad_norm": 7.220771312713623,
+      "learning_rate": 8.111382836816364e-06,
+      "loss": 0.3608,
+      "step": 9000
+    },
+    {
+      "epoch": 5.953166226912929,
+      "grad_norm": 7.930024147033691,
+      "learning_rate": 8.105824811027124e-06,
+      "loss": 0.3715,
+      "step": 9025
+    },
+    {
+      "epoch": 5.969656992084433,
+      "grad_norm": 10.353165626525879,
+      "learning_rate": 8.100266785237885e-06,
+      "loss": 0.3852,
+      "step": 9050
+    },
+    {
+      "epoch": 5.986147757255937,
+      "grad_norm": 7.248688220977783,
+      "learning_rate": 8.094708759448644e-06,
+      "loss": 0.3542,
+      "step": 9075
+    },
+    {
+      "epoch": 6.0,
+      "eval_loss": 0.3076770603656769,
+      "eval_runtime": 1501.2001,
+      "eval_samples_per_second": 3.461,
+      "eval_steps_per_second": 1.731,
+      "eval_wer": 0.12749874614888587,
+      "step": 9096
+    },
+    {
+      "epoch": 6.002638522427441,
+      "grad_norm": 6.4646382331848145,
+      "learning_rate": 8.089150733659404e-06,
+      "loss": 0.3508,
+      "step": 9100
+    },
+    {
+      "epoch": 6.019129287598944,
+      "grad_norm": 8.597702980041504,
+      "learning_rate": 8.083592707870165e-06,
+      "loss": 0.3326,
+      "step": 9125
+    },
+    {
+      "epoch": 6.035620052770448,
+      "grad_norm": 8.334925651550293,
+      "learning_rate": 8.078034682080925e-06,
+      "loss": 0.3246,
+      "step": 9150
+    },
+    {
+      "epoch": 6.052110817941952,
+      "grad_norm": 5.674637794494629,
+      "learning_rate": 8.072476656291685e-06,
+      "loss": 0.3472,
+      "step": 9175
+    },
+    {
+      "epoch": 6.068601583113456,
+      "grad_norm": 4.868644714355469,
+      "learning_rate": 8.066918630502445e-06,
+      "loss": 0.3483,
+      "step": 9200
+    },
+    {
+      "epoch": 6.08509234828496,
+      "grad_norm": 7.509459972381592,
+      "learning_rate": 8.061360604713207e-06,
+      "loss": 0.3372,
+      "step": 9225
+    },
+    {
+      "epoch": 6.101583113456464,
+      "grad_norm": 6.369452953338623,
+      "learning_rate": 8.055802578923967e-06,
+      "loss": 0.3294,
+      "step": 9250
+    },
+    {
+      "epoch": 6.1180738786279685,
+      "grad_norm": 6.736758232116699,
+      "learning_rate": 8.050244553134727e-06,
+      "loss": 0.317,
+      "step": 9275
+    },
+    {
+      "epoch": 6.1345646437994725,
+      "grad_norm": 5.772039890289307,
+      "learning_rate": 8.044686527345487e-06,
+      "loss": 0.3138,
+      "step": 9300
+    },
+    {
+      "epoch": 6.151055408970977,
+      "grad_norm": 8.263904571533203,
+      "learning_rate": 8.039128501556249e-06,
+      "loss": 0.3507,
+      "step": 9325
+    },
+    {
+      "epoch": 6.167546174142481,
+      "grad_norm": 7.171966552734375,
+      "learning_rate": 8.033570475767009e-06,
+      "loss": 0.3343,
+      "step": 9350
+    },
+    {
+      "epoch": 6.184036939313984,
+      "grad_norm": 7.375022888183594,
+      "learning_rate": 8.028012449977769e-06,
+      "loss": 0.328,
+      "step": 9375
+    },
+    {
+      "epoch": 6.200527704485488,
+      "grad_norm": 7.487870693206787,
+      "learning_rate": 8.022454424188529e-06,
+      "loss": 0.3433,
+      "step": 9400
+    },
+    {
+      "epoch": 6.217018469656992,
+      "grad_norm": 7.687648296356201,
+      "learning_rate": 8.016896398399289e-06,
+      "loss": 0.3625,
+      "step": 9425
+    },
+    {
+      "epoch": 6.233509234828496,
+      "grad_norm": 8.015031814575195,
+      "learning_rate": 8.011338372610049e-06,
+      "loss": 0.3585,
+      "step": 9450
+    },
+    {
+      "epoch": 6.25,
+      "grad_norm": 6.240160942077637,
+      "learning_rate": 8.005780346820809e-06,
+      "loss": 0.3272,
+      "step": 9475
+    },
+    {
+      "epoch": 6.266490765171504,
+      "grad_norm": 5.806061744689941,
+      "learning_rate": 8.00022232103157e-06,
+      "loss": 0.3368,
+      "step": 9500
+    },
+    {
+      "epoch": 6.282981530343008,
+      "grad_norm": 5.972324848175049,
+      "learning_rate": 7.99466429524233e-06,
+      "loss": 0.305,
+      "step": 9525
+    },
+    {
+      "epoch": 6.299472295514512,
+      "grad_norm": 7.271647930145264,
+      "learning_rate": 7.98910626945309e-06,
+      "loss": 0.3777,
+      "step": 9550
+    },
+    {
+      "epoch": 6.315963060686016,
+      "grad_norm": 8.508190155029297,
+      "learning_rate": 7.98354824366385e-06,
+      "loss": 0.3894,
+      "step": 9575
+    },
+    {
+      "epoch": 6.33245382585752,
+      "grad_norm": 7.478120803833008,
+      "learning_rate": 7.977990217874612e-06,
+      "loss": 0.3469,
+      "step": 9600
+    },
+    {
+      "epoch": 6.348944591029023,
+      "grad_norm": 7.627612113952637,
+      "learning_rate": 7.972432192085372e-06,
+      "loss": 0.3106,
+      "step": 9625
+    },
+    {
+      "epoch": 6.3654353562005275,
+      "grad_norm": 6.731842041015625,
+      "learning_rate": 7.966874166296132e-06,
+      "loss": 0.3331,
+      "step": 9650
+    },
+    {
+      "epoch": 6.3819261213720315,
+      "grad_norm": 5.524582862854004,
+      "learning_rate": 7.961316140506892e-06,
+      "loss": 0.3364,
+      "step": 9675
+    },
+    {
+      "epoch": 6.398416886543536,
+      "grad_norm": 5.552459239959717,
+      "learning_rate": 7.955758114717652e-06,
+      "loss": 0.3239,
+      "step": 9700
+    },
+    {
+      "epoch": 6.41490765171504,
+      "grad_norm": 8.744638442993164,
+      "learning_rate": 7.950200088928414e-06,
+      "loss": 0.3518,
+      "step": 9725
+    },
+    {
+      "epoch": 6.431398416886544,
+      "grad_norm": 6.690433502197266,
+      "learning_rate": 7.944642063139174e-06,
+      "loss": 0.323,
+      "step": 9750
+    },
+    {
+      "epoch": 6.447889182058048,
+      "grad_norm": 6.405791282653809,
+      "learning_rate": 7.939084037349934e-06,
+      "loss": 0.3255,
+      "step": 9775
+    },
+    {
+      "epoch": 6.464379947229552,
+      "grad_norm": 8.274345397949219,
+      "learning_rate": 7.933526011560694e-06,
+      "loss": 0.3573,
+      "step": 9800
+    },
+    {
+      "epoch": 6.480870712401055,
+      "grad_norm": 10.02904987335205,
+      "learning_rate": 7.927967985771454e-06,
+      "loss": 0.3627,
+      "step": 9825
+    },
+    {
+      "epoch": 6.497361477572559,
+      "grad_norm": 8.587586402893066,
+      "learning_rate": 7.922409959982214e-06,
+      "loss": 0.3399,
+      "step": 9850
+    },
+    {
+      "epoch": 6.513852242744063,
+      "grad_norm": 8.427138328552246,
+      "learning_rate": 7.916851934192974e-06,
+      "loss": 0.3729,
+      "step": 9875
+    },
+    {
+      "epoch": 6.530343007915567,
+      "grad_norm": 11.161705017089844,
+      "learning_rate": 7.911293908403736e-06,
+      "loss": 0.3749,
+      "step": 9900
+    },
+    {
+      "epoch": 6.546833773087071,
+      "grad_norm": 9.07302474975586,
+      "learning_rate": 7.905735882614496e-06,
+      "loss": 0.3293,
+      "step": 9925
+    },
+    {
+      "epoch": 6.563324538258575,
+      "grad_norm": 5.79204797744751,
+      "learning_rate": 7.900177856825256e-06,
+      "loss": 0.352,
+      "step": 9950
+    },
+    {
+      "epoch": 6.579815303430079,
+      "grad_norm": 8.09050178527832,
+      "learning_rate": 7.894619831036016e-06,
+      "loss": 0.3466,
+      "step": 9975
+    },
+    {
+      "epoch": 6.596306068601583,
+      "grad_norm": 6.807469844818115,
+      "learning_rate": 7.889061805246778e-06,
+      "loss": 0.3827,
+      "step": 10000
+    },
+    {
+      "epoch": 6.612796833773087,
+      "grad_norm": 5.356978416442871,
+      "learning_rate": 7.883503779457538e-06,
+      "loss": 0.3486,
+      "step": 10025
+    },
+    {
+      "epoch": 6.629287598944591,
+      "grad_norm": 5.796497821807861,
+      "learning_rate": 7.877945753668298e-06,
+      "loss": 0.3431,
+      "step": 10050
+    },
+    {
+      "epoch": 6.6457783641160955,
+      "grad_norm": 5.685765743255615,
+      "learning_rate": 7.872387727879058e-06,
+      "loss": 0.3423,
+      "step": 10075
+    },
+    {
+      "epoch": 6.662269129287599,
+      "grad_norm": Infinity,
+      "learning_rate": 7.867052023121387e-06,
+      "loss": 0.3711,
+      "step": 10100
+    },
+    {
+      "epoch": 6.678759894459103,
+      "grad_norm": 8.378765106201172,
+      "learning_rate": 7.861493997332147e-06,
+      "loss": 0.3662,
+      "step": 10125
+    },
+    {
+      "epoch": 6.695250659630607,
+      "grad_norm": 9.546087265014648,
+      "learning_rate": 7.855935971542909e-06,
+      "loss": 0.3005,
+      "step": 10150
+    },
+    {
+      "epoch": 6.711741424802111,
+      "grad_norm": 7.322122097015381,
+      "learning_rate": 7.850377945753669e-06,
+      "loss": 0.3464,
+      "step": 10175
+    },
+    {
+      "epoch": 6.728232189973615,
+      "grad_norm": 8.071023941040039,
+      "learning_rate": 7.844819919964429e-06,
+      "loss": 0.3444,
+      "step": 10200
+    },
+    {
+      "epoch": 6.744722955145119,
+      "grad_norm": 8.991476058959961,
+      "learning_rate": 7.839261894175189e-06,
+      "loss": 0.3779,
+      "step": 10225
+    },
+    {
+      "epoch": 6.761213720316623,
+      "grad_norm": 7.23716402053833,
+      "learning_rate": 7.83370386838595e-06,
+      "loss": 0.3075,
+      "step": 10250
+    },
+    {
+      "epoch": 6.777704485488127,
+      "grad_norm": 5.675558567047119,
+      "learning_rate": 7.82814584259671e-06,
+      "loss": 0.3185,
+      "step": 10275
+    },
+    {
+      "epoch": 6.79419525065963,
+      "grad_norm": 9.553876876831055,
+      "learning_rate": 7.82258781680747e-06,
+      "loss": 0.3661,
+      "step": 10300
+    },
+    {
+      "epoch": 6.810686015831134,
+      "grad_norm": 5.838205814361572,
+      "learning_rate": 7.81702979101823e-06,
+      "loss": 0.3378,
+      "step": 10325
+    },
+    {
+      "epoch": 6.827176781002638,
+      "grad_norm": 7.847379207611084,
+      "learning_rate": 7.811471765228992e-06,
+      "loss": 0.3443,
+      "step": 10350
+    },
+    {
+      "epoch": 6.843667546174142,
+      "grad_norm": 7.678672790527344,
+      "learning_rate": 7.805913739439752e-06,
+      "loss": 0.3265,
+      "step": 10375
+    },
+    {
+      "epoch": 6.860158311345646,
+      "grad_norm": 7.874334335327148,
+      "learning_rate": 7.80035571365051e-06,
+      "loss": 0.3456,
+      "step": 10400
+    },
+    {
+      "epoch": 6.87664907651715,
+      "grad_norm": 7.230392932891846,
+      "learning_rate": 7.794797687861272e-06,
+      "loss": 0.3702,
+      "step": 10425
+    },
+    {
+      "epoch": 6.8931398416886545,
+      "grad_norm": 7.550044536590576,
+      "learning_rate": 7.789239662072033e-06,
+      "loss": 0.3428,
+      "step": 10450
+    },
+    {
+      "epoch": 6.9096306068601585,
+      "grad_norm": 5.714991569519043,
+      "learning_rate": 7.783681636282793e-06,
+      "loss": 0.3442,
+      "step": 10475
+    },
+    {
+      "epoch": 6.926121372031663,
+      "grad_norm": 9.231269836425781,
+      "learning_rate": 7.778123610493553e-06,
+      "loss": 0.3805,
+      "step": 10500
+    },
+    {
+      "epoch": 6.942612137203167,
+      "grad_norm": 8.083724021911621,
+      "learning_rate": 7.772565584704314e-06,
+      "loss": 0.3497,
+      "step": 10525
+    },
+    {
+      "epoch": 6.959102902374671,
+      "grad_norm": 5.767257213592529,
+      "learning_rate": 7.767007558915074e-06,
+      "loss": 0.3101,
+      "step": 10550
+    },
+    {
+      "epoch": 6.975593667546174,
+      "grad_norm": 6.558534622192383,
+      "learning_rate": 7.761449533125834e-06,
+      "loss": 0.3563,
+      "step": 10575
+    },
+    {
+      "epoch": 6.992084432717678,
+      "grad_norm": 8.02295207977295,
+      "learning_rate": 7.755891507336594e-06,
+      "loss": 0.3648,
+      "step": 10600
+    },
+    {
+      "epoch": 7.0,
+      "eval_loss": 0.30907538533210754,
+      "eval_runtime": 1524.829,
+      "eval_samples_per_second": 3.408,
+      "eval_steps_per_second": 1.704,
+      "eval_wer": 0.12174894318263237,
+      "step": 10612
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 45480,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 30,
+  "save_steps": 1000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 4.897929131311104e+19,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7d5303942e47e492569ffe0b7e0b09317ee5135a573b4caa25d599f7cfcd369
+size 5560