Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Rate
No log	1.0	20	0.5469	0.0994	0.0093	0.0047	0.8438	0.0000
No log	2.0	40	0.3859	0.0050	0.0100	0.0050	1.0	0.0000
No log	3.0	60	0.2662	0.0050	0.0100	0.0050	1.0	0.0000
No log	4.0	80	0.1781	0.0050	0.0100	0.0050	1.0	0.0000
No log	5.0	100	0.1183	0.0050	0.0100	0.0050	1.0	0.0000
No log	6.0	120	0.0823	0.0050	0.0100	0.0050	1.0	0.0000
No log	7.0	140	0.0614	0.0050	0.0100	0.0050	1.0	0.0000
No log	8.0	160	0.0494	0.0050	0.0100	0.0050	1.0	0.0000
No log	9.0	180	0.0423	0.0050	0.0100	0.0050	1.0	0.0000
No log	10.0	200	0.0379	0.0050	0.0100	0.0050	1.0	0.0000
No log	11.0	220	0.0350	0.0050	0.0100	0.0050	1.0	0.0000
No log	12.0	240	0.0331	0.0050	0.0100	0.0050	1.0	0.0000
No log	13.0	260	0.0318	0.0050	0.0100	0.0050	1.0	0.0000
No log	14.0	280	0.0307	0.0050	0.0100	0.0050	1.0	0.0000
No log	15.0	300	0.0300	0.0050	0.0100	0.0050	1.0	0.0000
No log	16.0	320	0.0294	0.0050	0.0100	0.0050	1.0	0.0000
No log	17.0	340	0.0290	0.0050	0.0100	0.0050	1.0	0.0000
No log	18.0	360	0.0286	0.0050	0.0100	0.0050	1.0	0.0000
No log	19.0	380	0.0283	0.0050	0.0100	0.0050	1.0	0.0000
No log	20.0	400	0.0300	0.0050	0.0100	0.0050	1.0	0.0000
No log	21.0	420	0.0290	0.0050	0.0100	0.0050	1.0	0.0000
No log	22.0	440	0.0252	0.0050	0.0100	0.0050	1.0	0.0000
No log	23.0	460	0.0246	0.0050	0.0100	0.0050	1.0	0.0000
No log	24.0	480	0.0242	0.0050	0.0100	0.0050	1.0	0.0000
0.1127	25.0	500	0.0239	0.0050	0.0100	0.0050	1.0	0.0000
0.1127	26.0	520	0.0233	0.0050	0.0100	0.0050	1.0	0.0000
0.1127	27.0	540	0.0226	0.0050	0.0100	0.0050	1.0	0.0000
0.1127	28.0	560	0.0224	0.0050	0.0100	0.0050	1.0	0.0000
0.1127	29.0	580	0.0217	0.0050	0.0100	0.0050	1.0	0.0000
0.1127	30.0	600	0.0211	0.0047	0.0093	0.0047	0.9375	0.0000
0.1127	31.0	620	0.0206	0.0045	0.0090	0.0045	0.9062	0.0000
0.1127	32.0	640	0.0207	0.0047	0.0090	0.0045	0.9062	0.0000
0.1127	33.0	660	0.0198	0.0045	0.0090	0.0045	0.9062	0.0000
0.1127	34.0	680	0.0205	0.0047	0.0090	0.0045	0.9062	0.0000
0.1127	35.0	700	0.0193	0.0045	0.0090	0.0045	0.9062	0.0000
0.1127	36.0	720	0.0198	0.0045	0.0090	0.0045	0.9062	0.0000
0.1127	37.0	740	0.0190	0.0047	0.0090	0.0045	0.9062	0.0000
0.1127	38.0	760	0.0197	0.0049	0.0090	0.0045	0.9062	0.0000
0.1127	39.0	780	0.0185	0.0047	0.0090	0.0045	0.9062	0.0000
0.1127	40.0	800	0.0184	0.0045	0.0090	0.0045	0.9062	0.0000
0.1127	41.0	820	0.0188	0.0045	0.0090	0.0045	0.9062	0.0000
0.1127	42.0	840	0.0179	0.0045	0.0090	0.0045	0.9062	0.0000
0.1127	43.0	860	0.0178	0.0045	0.0090	0.0045	0.9062	0.0000
0.1127	44.0	880	0.0174	0.0045	0.0090	0.0045	0.9062	0.0000
0.1127	45.0	900	0.0182	0.0041	0.0081	0.0041	0.8125	0.0000
0.1127	46.0	920	0.0171	0.0045	0.0090	0.0045	0.9062	0.0000
0.1127	47.0	940	0.0168	0.0044	0.0087	0.0044	0.875	0.0000
0.1127	48.0	960	0.0167	0.0041	0.0081	0.0041	0.8125	0.0000
0.1127	49.0	980	0.0165	0.0039	0.0078	0.0039	0.7812	0.0000
0.0253	50.0	1000	0.0162	0.0039	0.0078	0.0039	0.7812	1e-05
0.0253	51.0	1020	0.0160	0.0041	0.0081	0.0041	0.8125	0.0000
0.0253	52.0	1040	0.0159	0.0038	0.0075	0.0038	0.75	0.0000
0.0253	53.0	1060	0.0158	0.0038	0.0075	0.0038	0.75	0.0000
0.0253	54.0	1080	0.0163	0.0041	0.0075	0.0038	0.75	0.0000
0.0253	55.0	1100	0.0160	0.0039	0.0072	0.0036	0.7188	9e-06
0.0253	56.0	1120	0.0161	0.0034	0.0069	0.0034	0.6875	0.0000
0.0253	57.0	1140	0.0156	0.0036	0.0069	0.0034	0.6875	0.0000
0.0253	58.0	1160	0.0154	0.0041	0.0069	0.0034	0.6875	0.0000
0.0253	59.0	1180	0.0155	0.0039	0.0072	0.0036	0.7188	0.0000
0.0253	60.0	1200	0.0155	0.0036	0.0069	0.0034	0.6875	0.0000
0.0253	61.0	1220	0.0154	0.0038	0.0069	0.0034	0.6875	0.0000
0.0253	62.0	1240	0.0156	0.0041	0.0069	0.0034	0.6875	0.0000
0.0253	63.0	1260	0.0152	0.0038	0.0069	0.0034	0.6875	0.0000
0.0253	64.0	1280	0.0146	0.0036	0.0069	0.0034	0.6875	0.0000
0.0253	65.0	1300	0.0147	0.0041	0.0069	0.0034	0.6875	7e-06
0.0253	66.0	1320	0.0149	0.0039	0.0066	0.0033	0.6562	0.0000
0.0253	67.0	1340	0.0148	0.0038	0.0062	0.0031	0.625	0.0000
0.0253	68.0	1360	0.0148	0.0039	0.0066	0.0033	0.6562	0.0000
0.0253	69.0	1380	0.0143	0.0041	0.0069	0.0034	0.6875	0.0000
0.0253	70.0	1400	0.0144	0.0039	0.0062	0.0031	0.625	6e-06
0.0253	71.0	1420	0.0145	0.0039	0.0066	0.0033	0.6562	0.0000
0.0253	72.0	1440	0.0141	0.0038	0.0066	0.0033	0.6562	0.0000
0.0253	73.0	1460	0.0144	0.0039	0.0066	0.0033	0.6562	0.0000
0.0253	74.0	1480	0.0144	0.0039	0.0066	0.0033	0.6562	0.0000
0.019	75.0	1500	0.0142	0.0036	0.0062	0.0031	0.625	5e-06
0.019	76.0	1520	0.0140	0.0041	0.0066	0.0033	0.6562	0.0000
0.019	77.0	1540	0.0139	0.0039	0.0066	0.0033	0.6562	0.0000
0.019	78.0	1560	0.0140	0.0039	0.0066	0.0033	0.6562	0.0000
0.019	79.0	1580	0.0139	0.0038	0.0059	0.0030	0.5938	0.0000
0.019	80.0	1600	0.0139	0.0039	0.0066	0.0033	0.6562	0.0000
0.019	81.0	1620	0.0139	0.0042	0.0066	0.0033	0.6562	0.0000
0.019	82.0	1640	0.0136	0.0036	0.0062	0.0031	0.625	0.0000
0.019	83.0	1660	0.0138	0.0041	0.0062	0.0031	0.625	0.0000
0.019	84.0	1680	0.0136	0.0039	0.0059	0.0030	0.5938	0.0000
0.019	85.0	1700	0.0136	0.0038	0.0059	0.0030	0.5938	3e-06
0.019	86.0	1720	0.0136	0.0038	0.0059	0.0030	0.5938	0.0000
0.019	87.0	1740	0.0133	0.0038	0.0062	0.0031	0.625	0.0000
0.019	88.0	1760	0.0137	0.0039	0.0059	0.0030	0.5938	0.0000
0.019	89.0	1780	0.0134	0.0036	0.0059	0.0030	0.5938	0.0000
0.019	90.0	1800	0.0133	0.0038	0.0059	0.0030	0.5938	0.0000
0.019	91.0	1820	0.0137	0.0041	0.0066	0.0033	0.6562	0.0000
0.019	92.0	1840	0.0134	0.0038	0.0059	0.0030	0.5938	0.0000
0.019	93.0	1860	0.0135	0.0038	0.0059	0.0030	0.5938	0.0000
0.019	94.0	1880	0.0134	0.0038	0.0062	0.0031	0.625	0.0000
0.019	95.0	1900	0.0136	0.0039	0.0059	0.0030	0.5938	0.0000
0.019	96.0	1920	0.0135	0.0039	0.0059	0.0030	0.5938	0.0000
0.019	97.0	1940	0.0134	0.0038	0.0062	0.0031	0.625	0.0000
0.019	98.0	1960	0.0134	0.0038	0.0062	0.0031	0.625	0.0000
0.019	99.0	1980	0.0134	0.0038	0.0062	0.0031	0.625	0.0000
0.0156	100.0	2000	0.0134	0.0038	0.0062	0.0031	0.625	0.0

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

bobbyw/copilot_relex_v1

copilot_relex_v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bobbyw/
copilot_relex_v1