Very very sorry for the late reply, been busy with other studies and all. So, I have 10,000 Images in four folders/classes. From that I have put 1000 in each class training set, rest 9000 is still unseen. So, can I put 150 images from that train set to valid set? Will it be okay?
Also, I need a bigger help from you. As I have got the confusion matrix, but I am unable to interpret them, I have studied from very blogs, but there are few about multi-class conf_matrix. Can you please help? Here is the conf_matrix I have got -
Class 0
TP 819.0, TN 602.0, FP 1691.0, FN 181.0
Sensitivity = 0.8190000057220459
Specificity = 0.2625381648540497
Class 1
TP 1.0, TN 2593.0, FP 1.0, FN 698.0
Sensitivity = 0.0014306152006611228
Specificity = 0.9996144771575928
Class 2
TP 124.0, TN 2126.0, FP 373.0, FN 670.0
Sensitivity = 0.1561712920665741
Specificity = 0.8507403135299683
Class 3
TP 118.0, TN 2327.0, FP 166.0, FN 682.0
Sensitivity = 0.14749999344348907
Specificity = 0.933413565158844
Class 0
TP 827.0, TN 609.0, FP 1708.0, FN 181.0
Sensitivity = 0.8204365372657776
Specificity = 0.2628398835659027
Class 1
TP 1.0, TN 2617.0, FP 1.0, FN 706.0
Sensitivity = 0.0014144271844998002
Specificity = 0.9996180534362793
Class 2
TP 124.0, TN 2150.0, FP 373.0, FN 678.0
Sensitivity = 0.1546134650707245
Specificity = 0.8521601557731628
Class 3
TP 124.0, TN 2350.0, FP 167.0, FN 684.0
Sensitivity = 0.15346534550189972
Specificity = 0.9336511492729187
Epoch: 1/30 
Train loss: 1.3624.. 
Valid loss: 1.3209.. 
Accuracy: 0.4375.. 
Class 0
TP 1696.0, TN 1853.0, FP 2757.0, FN 312.0
Sensitivity = 0.8446215391159058
Specificity = 0.40195226669311523
Class 1
TP 86.0, TN 5140.0, FP 72.0, FN 1320.0
Sensitivity = 0.0611664280295372
Specificity = 0.9861857295036316
Class 2
TP 245.0, TN 4481.0, FP 541.0, FN 1351.0
Sensitivity = 0.1535087674856186
Specificity = 0.892274022102356
Class 3
TP 605.0, TN 4394.0, FP 616.0, FN 1003.0
Sensitivity = 0.3762437701225281
Specificity = 0.8770459294319153
Class 0
TP 1704.0, TN 1871.0, FP 2763.0, FN 312.0
Sensitivity = 0.8452380895614624
Specificity = 0.403754860162735
Class 1
TP 87.0, TN 5164.0, FP 72.0, FN 1327.0
Sensitivity = 0.06152758002281189
Specificity = 0.9862490296363831
Class 2
TP 248.0, TN 4505.0, FP 541.0, FN 1356.0
Sensitivity = 0.1546134650707245
Specificity = 0.8927863836288452
Class 3
TP 613.0, TN 4412.0, FP 622.0, FN 1003.0
Sensitivity = 0.37933167815208435
Specificity = 0.8764402270317078
Epoch: 2/30 
Train loss: 1.2294.. 
Valid loss: 0.9779.. 
Accuracy: 0.6250.. 
Class 0
TP 2490.0, TN 3558.0, FP 3369.0, FN 526.0
Sensitivity = 0.825596809387207
Specificity = 0.5136422514915466
Class 1
TP 278.0, TN 7599.0, FP 231.0, FN 1835.0
Sensitivity = 0.13156649470329285
Specificity = 0.9704980850219727
Class 2
TP 473.0, TN 6738.0, FP 807.0, FN 1925.0
Sensitivity = 0.197247713804245
Specificity = 0.893041729927063
Class 3
TP 1214.0, TN 6446.0, FP 1081.0, FN 1202.0
Sensitivity = 0.5024834275245667
Specificity = 0.8563836812973022
Class 0
TP 2497.0, TN 3575.0, FP 3376.0, FN 527.0
Sensitivity = 0.8257275223731995
Specificity = 0.5143144726753235
Class 1
TP 283.0, TN 7621.0, FP 233.0, FN 1838.0
Sensitivity = 0.13342763483524323
Specificity = 0.9703335762023926
Class 2
TP 474.0, TN 6760.0, FP 809.0, FN 1932.0
Sensitivity = 0.19700747728347778
Specificity = 0.8931166529655457
Class 3
TP 1220.0, TN 6468.0, FP 1083.0, FN 1204.0
Sensitivity = 0.5033003091812134
Specificity = 0.8565753102302551
Epoch: 3/30 
Train loss: 1.0757.. 
Valid loss: 0.9976.. 
Accuracy: 0.5938.. 
Class 0
TP 3284.0, TN 5414.0, FP 3830.0, FN 740.0
Sensitivity = 0.8161033987998962
Specificity = 0.5856772065162659
Class 1
TP 572.0, TN 10012.0, FP 436.0, FN 2248.0
Sensitivity = 0.20283688604831696
Specificity = 0.9582695364952087
Class 2
TP 780.0, TN 8991.0, FP 1077.0, FN 2420.0
Sensitivity = 0.24375000596046448
Specificity = 0.8930274248123169
Class 3
TP 1802.0, TN 8557.0, FP 1487.0, FN 1422.0
Sensitivity = 0.5589330196380615
Specificity = 0.8519514203071594
Class 0
TP 3291.0, TN 5432.0, FP 3836.0, FN 741.0
Sensitivity = 0.816220223903656
Specificity = 0.5861027240753174
Class 1
TP 577.0, TN 10031.0, FP 441.0, FN 2251.0
Sensitivity = 0.20403112471103668
Specificity = 0.9578877091407776
Class 2
TP 782.0, TN 9015.0, FP 1077.0, FN 2426.0
Sensitivity = 0.24376559257507324
Specificity = 0.8932818174362183
Class 3
TP 1808.0, TN 8580.0, FP 1488.0, FN 1424.0
Sensitivity = 0.5594059228897095
Specificity = 0.8522049784660339
Epoch: 4/30 
Train loss: 0.9810.. 
Valid loss: 0.9842.. 
Accuracy: 0.6250.. 
Class 0
TP 4080.0, TN 7306.0, FP 4255.0, FN 952.0
Sensitivity = 0.8108108043670654
Specificity = 0.6319522261619568
Class 1
TP 902.0, TN 12416.0, FP 650.0, FN 2625.0
Sensitivity = 0.2557414174079895
Specificity = 0.9502525925636292
Class 2
TP 1129.0, TN 11243.0, FP 1348.0, FN 2873.0
Sensitivity = 0.28210893273353577
Specificity = 0.8929393887519836
Class 3
TP 2389.0, TN 10721.0, FP 1840.0, FN 1643.0
Sensitivity = 0.592509925365448
Specificity = 0.8535148501396179
Class 0
TP 4088.0, TN 7327.0, FP 4258.0, FN 952.0
Sensitivity = 0.8111110925674438
Specificity = 0.6324557662010193
Class 1
TP 910.0, TN 12435.0, FP 655.0, FN 2625.0
Sensitivity = 0.2574257552623749
Specificity = 0.94996178150177
Class 2
TP 1132.0, TN 11267.0, FP 1348.0, FN 2878.0
Sensitivity = 0.28229427337646484
Specificity = 0.8931430578231812
Class 3
TP 2394.0, TN 10745.0, FP 1840.0, FN 1646.0
Sensitivity = 0.5925742387771606
Specificity = 0.8537942171096802
Epoch: 5/30 
Train loss: 0.9155.. 
Valid loss: 0.7378.. 
Accuracy: 0.7500.. 
Class 0
TP 4849.0, TN 9283.0, FP 4595.0, FN 1191.0
Sensitivity = 0.8028145432472229
Specificity = 0.6689004302024841
Class 1
TP 1278.0, TN 14812.0, FP 872.0, FN 2956.0
Sensitivity = 0.30184224247932434
Specificity = 0.9444019198417664
Class 2
TP 1534.0, TN 13496.0, FP 1618.0, FN 3270.0
Sensitivity = 0.3193172216415405
Specificity = 0.8929469585418701
Class 3
TP 2978.0, TN 12884.0, FP 2194.0, FN 1862.0
Sensitivity = 0.6152892708778381
Specificity = 0.8544899821281433
Class 0
TP 4851.0, TN 9306.0, FP 4596.0, FN 1197.0
Sensitivity = 0.8020833134651184
Specificity = 0.6694000959396362
Class 1
TP 1281.0, TN 14825.0, FP 883.0, FN 2961.0
Sensitivity = 0.301980197429657
Specificity = 0.94378662109375
Class 2
TP 1536.0, TN 13517.0, FP 1621.0, FN 3276.0
Sensitivity = 0.3192020058631897
Specificity = 0.8929184675216675
Class 3
TP 2983.0, TN 12903.0, FP 2199.0, FN 1865.0
Sensitivity = 0.6153053045272827
Specificity = 0.8543901443481445
Epoch: 6/30 
Train loss: 0.8958.. 
Valid loss: 1.1498.. 
Accuracy: 0.3750.. 
Class 0
TP 5618.0, TN 11267.0, FP 4928.0, FN 1430.0
Sensitivity = 0.7971055507659912
Specificity = 0.6957085728645325
Class 1
TP 1651.0, TN 17184.0, FP 1118.0, FN 3290.0
Sensitivity = 0.33414289355278015
Specificity = 0.9389137625694275
Class 2
TP 1945.0, TN 15749.0, FP 1888.0, FN 3661.0
Sensitivity = 0.3469496965408325
Specificity = 0.8929523229598999
Class 3
TP 3563.0, TN 15063.0, FP 2532.0, FN 2085.0
Sensitivity = 0.6308428049087524
Specificity = 0.8560954928398132
Class 0
TP 5624.0, TN 11280.0, FP 4939.0, FN 1432.0
Sensitivity = 0.7970521450042725
Specificity = 0.6954805850982666
Class 1
TP 1655.0, TN 17206.0, FP 1120.0, FN 3294.0
Sensitivity = 0.33441099524497986
Specificity = 0.9388846158981323
Class 2
TP 1946.0, TN 15773.0, FP 1888.0, FN 3668.0
Sensitivity = 0.3466334044933319
Specificity = 0.8930977582931519
Class 3
TP 3570.0, TN 15086.0, FP 2533.0, FN 2086.0
Sensitivity = 0.6311880946159363
Specificity = 0.8562347292900085
Epoch: 7/30 
Train loss: 0.8790.. 
Valid loss: 1.1372.. 
Accuracy: 0.5625.. 
Class 0
TP 6398.0, TN 13242.0, FP 5270.0, FN 1658.0
Sensitivity = 0.7941906452178955
Specificity = 0.715319812297821
Class 1
TP 2054.0, TN 19579.0, FP 1341.0, FN 3594.0
Sensitivity = 0.3636685609817505
Specificity = 0.9358986616134644
Class 2
TP 2364.0, TN 18020.0, FP 2140.0, FN 4044.0
Sensitivity = 0.368913859128952
Specificity = 0.8938491940498352
Class 3
TP 4153.0, TN 17264.0, FP 2848.0, FN 2303.0
Sensitivity = 0.6432775855064392
Specificity = 0.8583930134773254
Class 0
TP 6405.0, TN 13258.0, FP 5278.0, FN 1659.0
Sensitivity = 0.7942708134651184
Specificity = 0.7152568101882935
Class 1
TP 2061.0, TN 19599.0, FP 1345.0, FN 3595.0
Sensitivity = 0.3643918037414551
Specificity = 0.9357811212539673
Class 2
TP 2366.0, TN 18044.0, FP 2140.0, FN 4050.0
Sensitivity = 0.36876559257507324
Specificity = 0.8939754366874695
Class 3
TP 4157.0, TN 17288.0, FP 2848.0, FN 2307.0
Sensitivity = 0.6431002616882324
Specificity = 0.8585617542266846
Epoch: 8/30 
Train loss: 0.8523.. 
Valid loss: 1.0555.. 
Accuracy: 0.6250.. 
Class 0
TP 7177.0, TN 15244.0, FP 5585.0, FN 1887.0
Sensitivity = 0.7918137907981873
Specificity = 0.7318642139434814
Class 1
TP 2460.0, TN 21964.0, FP 1574.0, FN 3895.0
Sensitivity = 0.3870967626571655
Specificity = 0.9331294298171997
Class 2
TP 2814.0, TN 20297.0, FP 2386.0, FN 4396.0
Sensitivity = 0.3902912735939026
Specificity = 0.8948110938072205
Class 3
TP 4746.0, TN 19478.0, FP 3151.0, FN 2518.0
Sensitivity = 0.653359055519104
Specificity = 0.8607538938522339
Class 0
TP 7185.0, TN 15255.0, FP 5598.0, FN 1887.0
Sensitivity = 0.7919973731040955
Specificity = 0.7315494418144226
Class 1
TP 2462.0, TN 21987.0, FP 1575.0, FN 3901.0
Sensitivity = 0.3869244158267975
Specificity = 0.9331550598144531
Class 2
TP 2817.0, TN 20321.0, FP 2386.0, FN 4401.0
Sensitivity = 0.390274316072464
Specificity = 0.8949222564697266
Class 3
TP 4749.0, TN 19500.0, FP 3153.0, FN 2523.0
Sensitivity = 0.653052806854248
Specificity = 0.8608131408691406
Epoch: 9/30 
Train loss: 0.8113.. 
Valid loss: 1.1657.. 
Accuracy: 0.5000.. 
Class 0
TP 7949.0, TN 17243.0, FP 5903.0, FN 2123.0
Sensitivity = 0.7892176508903503
Specificity = 0.7449667453765869
Class 1
TP 2864.0, TN 24376.0, FP 1780.0, FN 4198.0
Sensitivity = 0.40555083751678467
Specificity = 0.9319467544555664
Class 2
TP 3262.0, TN 22549.0, FP 2657.0, FN 4750.0
Sensitivity = 0.40713930130004883
Specificity = 0.8945885896682739
Class 3
TP 5360.0, TN 21703.0, FP 3443.0, FN 2712.0
Sensitivity = 0.664023756980896
Specificity = 0.8630796074867249
Class 0
TP 7955.0, TN 17262.0, FP 5908.0, FN 2125.0
Sensitivity = 0.7891865372657776
Specificity = 0.7450150847434998
Class 1
TP 2871.0, TN 24394.0, FP 1786.0, FN 4199.0
Sensitivity = 0.40608203411102295
Specificity = 0.9317799806594849
Class 2
TP 3264.0, TN 22571.0, FP 2659.0, FN 4756.0
Sensitivity = 0.40698254108428955
Specificity = 0.8946095705032349
Class 3
TP 5364.0, TN 21727.0, FP 3443.0, FN 2716.0
Sensitivity = 0.6638613939285278
Specificity = 0.863210141658783
Epoch: 10/30 
Train loss: 0.8250.. 
Valid loss: 0.9164.. 
Accuracy: 0.5938..

I just wanna know why this TP, TN, FP, FN is 819, 602, 1691, 181(for the first example)? if the true negative is 602, then what about other examples? Like I have 1000 images in training class 0, means first class. Where this 1691 comes from? I am pretty much confused now.