Training Loss	Epoch	Step	Validation Loss	Accuracy
2.3217	0.07	10	0.7263	0.4901
0.56	0.13	20	0.6898	0.5526
0.5281	0.2	30	0.6465	0.5888
0.994	0.27	40	0.7351	0.5987
0.4785	0.33	50	0.6004	0.6118
0.4732	0.4	60	0.5783	0.6349
0.4466	0.47	70	0.5714	0.6414
0.8737	0.53	80	0.5673	0.6184
0.4471	0.6	90	0.5631	0.6283
0.46	0.67	100	0.5504	0.6349
0.3294	0.73	110	0.6010	0.625
0.6526	0.8	120	0.5731	0.6283
0.3712	0.87	130	0.5379	0.6447
0.3341	0.93	140	0.5409	0.6283
0.552	1.0	150	0.5311	0.6382
0.4681	1.07	160	0.5371	0.6414
0.3119	1.14	170	0.6172	0.6283
0.3082	1.2	180	0.5361	0.6513
0.5217	1.27	190	0.5468	0.625
0.3888	1.34	200	0.5891	0.6316
0.2841	1.4	210	0.5429	0.6283
0.2728	1.47	220	0.5247	0.6382
0.5563	1.54	230	0.5004	0.6513
0.2862	1.6	240	0.4741	0.6546
0.2289	1.67	250	0.5441	0.6513
0.2481	1.74	260	0.5171	0.6513
0.329	1.8	270	0.5371	0.6546
0.1741	1.87	280	0.5412	0.6678
0.2888	1.94	290	0.5131	0.6711
0.4157	2.0	300	0.4555	0.6447
0.1982	2.07	310	0.5670	0.6612
0.106	2.14	320	0.7943	0.6678
0.1718	2.2	330	0.7496	0.6645
0.214	2.27	340	0.6264	0.6842
0.1571	2.34	350	0.6139	0.6316
0.1432	2.4	360	0.6199	0.6842
0.1038	2.47	370	0.6368	0.6974
0.1728	2.54	380	0.7889	0.6678
0.14	2.6	390	0.7952	0.6546
0.1522	2.67	400	0.7745	0.6579
0.1345	2.74	410	0.7231	0.6513
0.1587	2.8	420	0.7154	0.6480
0.1391	2.87	430	0.6923	0.6513
0.129	2.94	440	0.6484	0.6711
0.2092	3.01	450	0.5822	0.6743
0.015	3.07	460	1.1217	0.6579
0.051	3.14	470	1.5790	0.6480
0.0999	3.21	480	1.5168	0.6678
0.1776	3.27	490	1.2342	0.6875
0.0612	3.34	500	1.0371	0.6974
0.0858	3.41	510	1.0277	0.6776
0.0316	3.47	520	1.0387	0.6809
0.1899	3.54	530	0.8185	0.6908
0.1517	3.61	540	0.7054	0.6842
0.0324	3.67	550	0.8505	0.6842
0.0646	3.74	560	1.0057	0.6612
0.1038	3.81	570	1.0027	0.6645
0.0844	3.87	580	0.9926	0.6513
0.0986	3.94	590	0.9246	0.6579
0.0627	4.01	600	0.8539	0.6546
0.0513	4.07	610	0.9247	0.6513
0.0484	4.14	620	1.1128	0.6546
0.0244	4.21	630	1.2702	0.6480
0.0672	4.27	640	1.7169	0.6414
0.0824	4.34	650	1.6627	0.6414
0.0068	4.41	660	1.3425	0.6349
0.044	4.47	670	1.2208	0.6612
0.0378	4.54	680	1.2891	0.6447
0.0411	4.61	690	1.3528	0.6612
0.0215	4.67	700	1.2606	0.6678
0.0438	4.74	710	1.2515	0.6546
0.0936	4.81	720	1.0858	0.6645
0.0305	4.87	730	0.9839	0.6579
0.0282	4.94	740	1.0233	0.6809

Framework versions

PEFT 0.7.1
Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.17.1
Tokenizers 0.15.1

retrieval-bar/Mistral-7B-v0.1_mbe_positive

Mistral-7B-v0.1_mbe_positive

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

retrieval-bar/
Mistral-7B-v0.1_mbe_positive