xianghe's picture
well-trained models
bca25b2
epoch,train_loss,eval_loss,eval_top1
0,1.801857591,1.793854238,17.33870982
1,1.632618944,1.549205281,34.13978515
2,1.475584507,2.265443712,19.89247319
3,1.372986118,1.603656098,36.9623658
4,1.453356385,1.676678922,33.6021505
5,1.360041459,1.356169078,44.89247353
6,1.329874873,1.572609464,48.52150554
7,1.29145058,1.304212769,51.74731236
8,1.262246529,1.423287866,42.74193565
9,1.221801122,1.32676408,51.47849462
10,1.182350119,1.170453951,54.83871013
11,1.13718756,1.728197285,43.2795703
12,1.135908564,1.412929204,49.5967744
13,1.005259871,1.476423387,42.47311865
14,1.026295801,1.194454617,57.66129032
15,1.009269317,1.280636135,55.51075302
16,0.986382087,1.197239922,57.52688229
17,0.995704273,1.761693097,42.87634446
18,1.01602606,1.945493831,37.5
19,0.916495065,2.039010473,41.26344107
20,0.978358408,2.830450886,26.47849466
21,0.85664169,1.07422333,57.2580646
22,0.881238004,1.202336733,56.9892476
23,0.89392523,1.445769821,52.55376377
24,0.843767623,1.2064638,59.00537675
25,0.813316723,1.273713244,58.19892506
26,0.770667692,1.540272558,49.73118312
27,0.764573057,1.482503772,52.55376377
28,0.769806166,1.019799125,63.44086054
29,0.749235392,1.143180206,58.06451646
30,0.716286023,2.014217241,43.68279566
31,0.706008395,1.329030562,55.7795703
32,0.691936334,1.356773483,55.24193573
33,0.672519922,1.671363874,50.53763449
34,0.676915646,1.092393393,61.82795756
35,0.62886548,1.29539272,56.72043035
36,0.608011941,1.106432047,60.75268866
37,0.622153421,1.022892074,64.38172092
38,0.567695081,1.082796392,61.42473184
39,0.614382009,1.233701543,58.87096791
40,0.56640327,1.086981232,62.23118296
41,0.589035332,1.322796027,59.54301129
42,0.55384628,1.3408664,54.30107568
43,0.531779746,1.123476635,62.36559193
44,0.541758239,1.114058002,62.63440897
45,0.553521812,1.01326951,63.03763433
46,0.521959225,1.316125833,57.12365641
47,0.543660372,0.951156096,67.87634474
48,0.539499124,1.234588986,58.73655939
49,0.519245664,1.150108104,61.82795711
50,0.530831079,1.239808652,59.13978544
51,0.511099796,1.116803259,62.09677411
52,0.502436618,1.037125448,64.65053821
53,0.504659375,1.045232879,64.91935537
54,0.49487409,1.002016187,65.45698974
55,0.490234435,1.013675753,64.91935476
56,0.499985864,1.040998911,63.70967767
57,0.478902181,1.007665245,65.05376402
58,0.493515124,0.990803374,65.59139777
59,0.495447328,0.982495127,66.26344102
60,0.485588292,1.018200681,66.93548453
61,0.488191962,1.125870462,63.44086034
62,0.482531706,0.922901603,68.27957047
63,0.486678799,0.98304715,66.53225823
64,0.490316361,0.989163503,66.93548371
65,0.478204151,1.1026358,63.84408627
66,0.464663953,1.040908256,64.78494681
67,0.468091051,1.116461177,63.84408619
68,0.472413003,0.992230965,66.26344111
69,0.471752505,0.980736815,66.26344102
70,0.482272238,0.927350896,68.01075285
71,0.472603599,0.944793502,66.93548371
72,0.466427634,1.121227387,61.6935488
73,0.464908699,0.9467448,66.80107543
74,0.460787455,1.013746149,65.99462407
75,0.469995737,1.009985961,65.59139801
76,0.472579569,0.966936188,68.1451617
77,0.466156354,0.942838655,68.27957038
78,0.467847546,0.940174776,67.33870992
79,0.467487305,0.919067574,69.08602159
80,0.465999385,0.950336945,68.81720414
81,0.455634097,0.935350847,66.93548469
82,0.448832234,0.919126904,68.68279611
83,0.451933205,0.939828678,68.81720422
84,0.461228679,0.913691189,69.35483953
85,0.462914993,0.927771921,67.74193557
86,0.452332149,0.90017892,69.35483937
87,0.454813004,0.887979237,68.68279578
88,0.457971662,0.913051513,68.95161348
89,0.456392338,0.911543035,70.29569876
90,0.465922574,0.889303368,70.69892498
91,0.45521157,0.916500077,70.16129081
92,0.468833784,0.896747819,68.54838693
93,0.451138804,0.880356964,70.29569975
94,0.46372666,0.91069357,70.02688229
95,0.455429484,0.911875106,69.35483871
96,0.451913098,0.941349264,68.01075326
97,0.455598027,0.901311349,69.3548392
98,0.45654279,0.916815591,70.29569925
99,0.456937989,0.922116795,69.48924723