Training Loss	Epoch	Step	Validation Loss
No log	1.0	4	0.7936
No log	2.0	8	0.7958
No log	3.0	12	0.7937
No log	4.0	16	0.7964
No log	5.0	20	0.8001
No log	6.0	24	0.7974
No log	7.0	28	0.7948
No log	8.0	32	0.7964
No log	9.0	36	0.7985
No log	10.0	40	0.7984
No log	11.0	44	0.7970
No log	12.0	48	0.7975
No log	13.0	52	0.7970
No log	14.0	56	0.7976
No log	15.0	60	0.8000
No log	16.0	64	0.8007
No log	17.0	68	0.8006
No log	18.0	72	0.8015
No log	19.0	76	0.8022
No log	20.0	80	0.8030
No log	21.0	84	0.8051
No log	22.0	88	0.8027
No log	23.0	92	0.7989
No log	24.0	96	0.7981
No log	25.0	100	0.8008
No log	26.0	104	0.8019
No log	27.0	108	0.8020
No log	28.0	112	0.8014
No log	29.0	116	0.8018
No log	30.0	120	0.8037
No log	31.0	124	0.8030
No log	32.0	128	0.8034
No log	33.0	132	0.8037
No log	34.0	136	0.8037
No log	35.0	140	0.8040
No log	36.0	144	0.8032
No log	37.0	148	0.8050
No log	38.0	152	0.8069
No log	39.0	156	0.8066
No log	40.0	160	0.8056
No log	41.0	164	0.8050
No log	42.0	168	0.8038
No log	43.0	172	0.8016
No log	44.0	176	0.8031
No log	45.0	180	0.8071
No log	46.0	184	0.8096
No log	47.0	188	0.8066
No log	48.0	192	0.8033
No log	49.0	196	0.8041
No log	50.0	200	0.8059
No log	51.0	204	0.8043
No log	52.0	208	0.8054
No log	53.0	212	0.8073
No log	54.0	216	0.8068
No log	55.0	220	0.8050
No log	56.0	224	0.8025
No log	57.0	228	0.8036
No log	58.0	232	0.8057
No log	59.0	236	0.8054
No log	60.0	240	0.8028
No log	61.0	244	0.8033
No log	62.0	248	0.8040
No log	63.0	252	0.8051
No log	64.0	256	0.8059
No log	65.0	260	0.8057
No log	66.0	264	0.8052
No log	67.0	268	0.8066
No log	68.0	272	0.8091
No log	69.0	276	0.8108
No log	70.0	280	0.8093
No log	71.0	284	0.8076
No log	72.0	288	0.8063
No log	73.0	292	0.8070
No log	74.0	296	0.8084
No log	75.0	300	0.8083
No log	76.0	304	0.8072
No log	77.0	308	0.8061
No log	78.0	312	0.8064
No log	79.0	316	0.8091
No log	80.0	320	0.8103
No log	81.0	324	0.8094
No log	82.0	328	0.8083
No log	83.0	332	0.8090
No log	84.0	336	0.8077
No log	85.0	340	0.8071
No log	86.0	344	0.8090
No log	87.0	348	0.8115
No log	88.0	352	0.8115
No log	89.0	356	0.8086
No log	90.0	360	0.8069
No log	91.0	364	0.8080
No log	92.0	368	0.8089
No log	93.0	372	0.8084
No log	94.0	376	0.8078
No log	95.0	380	0.8097
No log	96.0	384	0.8121
No log	97.0	388	0.8112
No log	98.0	392	0.8102
No log	99.0	396	0.8099
No log	100.0	400	0.8102
No log	101.0	404	0.8117
No log	102.0	408	0.8124
No log	103.0	412	0.8136
No log	104.0	416	0.8132
No log	105.0	420	0.8114
No log	106.0	424	0.8110
No log	107.0	428	0.8119
No log	108.0	432	0.8128
No log	109.0	436	0.8131
No log	110.0	440	0.8135
No log	111.0	444	0.8126
No log	112.0	448	0.8110
No log	113.0	452	0.8106
No log	114.0	456	0.8113
No log	115.0	460	0.8113
No log	116.0	464	0.8115
No log	117.0	468	0.8131
No log	118.0	472	0.8141
No log	119.0	476	0.8145
No log	120.0	480	0.8141
No log	121.0	484	0.8124
No log	122.0	488	0.8115
No log	123.0	492	0.8112
No log	124.0	496	0.8110
0.0586	125.0	500	0.8112
0.0586	126.0	504	0.8111
0.0586	127.0	508	0.8106
0.0586	128.0	512	0.8105
0.0586	129.0	516	0.8111
0.0586	130.0	520	0.8115
0.0586	131.0	524	0.8118
0.0586	132.0	528	0.8110
0.0586	133.0	532	0.8108
0.0586	134.0	536	0.8118
0.0586	135.0	540	0.8121
0.0586	136.0	544	0.8117
0.0586	137.0	548	0.8120
0.0586	138.0	552	0.8126
0.0586	139.0	556	0.8139
0.0586	140.0	560	0.8143
0.0586	141.0	564	0.8137
0.0586	142.0	568	0.8133
0.0586	143.0	572	0.8132
0.0586	144.0	576	0.8134
0.0586	145.0	580	0.8133
0.0586	146.0	584	0.8132
0.0586	147.0	588	0.8129
0.0586	148.0	592	0.8133
0.0586	149.0	596	0.8141
0.0586	150.0	600	0.8145
0.0586	151.0	604	0.8146
0.0586	152.0	608	0.8137
0.0586	153.0	612	0.8127
0.0586	154.0	616	0.8123
0.0586	155.0	620	0.8123
0.0586	156.0	624	0.8128
0.0586	157.0	628	0.8136
0.0586	158.0	632	0.8142
0.0586	159.0	636	0.8144
0.0586	160.0	640	0.8144
0.0586	161.0	644	0.8143
0.0586	162.0	648	0.8139
0.0586	163.0	652	0.8134
0.0586	164.0	656	0.8130
0.0586	165.0	660	0.8126
0.0586	166.0	664	0.8126
0.0586	167.0	668	0.8129
0.0586	168.0	672	0.8134
0.0586	169.0	676	0.8136
0.0586	170.0	680	0.8138
0.0586	171.0	684	0.8138
0.0586	172.0	688	0.8138
0.0586	173.0	692	0.8138
0.0586	174.0	696	0.8135
0.0586	175.0	700	0.8129
0.0586	176.0	704	0.8126
0.0586	177.0	708	0.8126
0.0586	178.0	712	0.8127
0.0586	179.0	716	0.8129
0.0586	180.0	720	0.8132
0.0586	181.0	724	0.8135
0.0586	182.0	728	0.8135
0.0586	183.0	732	0.8135
0.0586	184.0	736	0.8132
0.0586	185.0	740	0.8129
0.0586	186.0	744	0.8127
0.0586	187.0	748	0.8126
0.0586	188.0	752	0.8125
0.0586	189.0	756	0.8125
0.0586	190.0	760	0.8125
0.0586	191.0	764	0.8125
0.0586	192.0	768	0.8126
0.0586	193.0	772	0.8127
0.0586	194.0	776	0.8126
0.0586	195.0	780	0.8126
0.0586	196.0	784	0.8126
0.0586	197.0	788	0.8126
0.0586	198.0	792	0.8126
0.0586	199.0	796	0.8126
0.0586	200.0	800	0.8126

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

gjonesQ02/StatementOfWork_Generator_Omega_BS_1024_2

StatementOfWork_Generator_Omega_BS_1024_2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gjonesQ02/
StatementOfWork_Generator_Omega_BS_1024_2