Training Loss	Epoch	Step	Validation Loss
No log	1.0	22	0.6395
No log	2.0	44	0.6235
No log	3.0	66	0.6035
No log	4.0	88	0.5845
No log	5.0	110	0.5645
No log	6.0	132	0.5442
No log	7.0	154	0.5346
No log	8.0	176	0.5167
No log	9.0	198	0.5009
No log	10.0	220	0.4893
No log	11.0	242	0.4676
No log	12.0	264	0.4498
No log	13.0	286	0.4382
No log	14.0	308	0.4276
No log	15.0	330	0.4132
No log	16.0	352	0.4075
No log	17.0	374	0.3952
No log	18.0	396	0.3822
No log	19.0	418	0.3677
No log	20.0	440	0.3563
No log	21.0	462	0.3495
No log	22.0	484	0.3455
0.6366	23.0	506	0.3316
0.6366	24.0	528	0.3126
0.6366	25.0	550	0.3118
0.6366	26.0	572	0.3021
0.6366	27.0	594	0.2944
0.6366	28.0	616	0.2878
0.6366	29.0	638	0.2772
0.6366	30.0	660	0.2701
0.6366	31.0	682	0.2643
0.6366	32.0	704	0.2576
0.6366	33.0	726	0.2514
0.6366	34.0	748	0.2467
0.6366	35.0	770	0.2359
0.6366	36.0	792	0.2326
0.6366	37.0	814	0.2205
0.6366	38.0	836	0.2182
0.6366	39.0	858	0.2137
0.6366	40.0	880	0.2086
0.6366	41.0	902	0.2058
0.6366	42.0	924	0.1979
0.6366	43.0	946	0.1930
0.6366	44.0	968	0.1922
0.6366	45.0	990	0.1853
0.4122	46.0	1012	0.1800
0.4122	47.0	1034	0.1787
0.4122	48.0	1056	0.1738
0.4122	49.0	1078	0.1689
0.4122	50.0	1100	0.1670
0.4122	51.0	1122	0.1583
0.4122	52.0	1144	0.1560
0.4122	53.0	1166	0.1540
0.4122	54.0	1188	0.1507
0.4122	55.0	1210	0.1475
0.4122	56.0	1232	0.1452
0.4122	57.0	1254	0.1458
0.4122	58.0	1276	0.1425
0.4122	59.0	1298	0.1377
0.4122	60.0	1320	0.1338
0.4122	61.0	1342	0.1365
0.4122	62.0	1364	0.1278
0.4122	63.0	1386	0.1272
0.4122	64.0	1408	0.1253
0.4122	65.0	1430	0.1251
0.4122	66.0	1452	0.1217
0.4122	67.0	1474	0.1219
0.4122	68.0	1496	0.1177
0.3005	69.0	1518	0.1174
0.3005	70.0	1540	0.1155
0.3005	71.0	1562	0.1144
0.3005	72.0	1584	0.1127
0.3005	73.0	1606	0.1106
0.3005	74.0	1628	0.1098
0.3005	75.0	1650	0.1092
0.3005	76.0	1672	0.1067
0.3005	77.0	1694	0.1086
0.3005	78.0	1716	0.1042
0.3005	79.0	1738	0.1051
0.3005	80.0	1760	0.1038
0.3005	81.0	1782	0.1022
0.3005	82.0	1804	0.1015
0.3005	83.0	1826	0.1004
0.3005	84.0	1848	0.1003
0.3005	85.0	1870	0.0978
0.3005	86.0	1892	0.0987
0.3005	87.0	1914	0.0974
0.3005	88.0	1936	0.0975
0.3005	89.0	1958	0.0965
0.3005	90.0	1980	0.0960
0.2455	91.0	2002	0.0958
0.2455	92.0	2024	0.0952
0.2455	93.0	2046	0.0952
0.2455	94.0	2068	0.0944
0.2455	95.0	2090	0.0943
0.2455	96.0	2112	0.0940
0.2455	97.0	2134	0.0942
0.2455	98.0	2156	0.0940
0.2455	99.0	2178	0.0939
0.2455	100.0	2200	0.0939

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

madmaxxed/gpt-work-filter-auto-complete

gpt-work-filter-auto-complete

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

madmaxxed/
gpt-work-filter-auto-complete