Stops learning at epoch number 12

Please, if my model stops learning at epoch number 12, what should I do?

In step 0, epoch 1,  MAE = 31.716304779052734, MSE = 32.25844955444336, min_epoch = 0, time cost eval = 212.38211226463318s
In step 150, epoch 2,  MAE = 32.23321533203125, MSE = 32.765079498291016, min_epoch = 0, time cost eval = 161.97203993797302s
In step 300, epoch 4,  MAE = 82.16007995605469, MSE = 83.56620788574219, min_epoch = 0, time cost eval = 146.61876916885376s
In step 450, epoch 5,  MAE = 5.765275001525879, MSE = 6.3083930015563965, min_epoch = 4, time cost eval = 142.5370922088623s
In step 600, epoch 7,  MAE = 7.77215576171875, MSE = 8.30815315246582, min_epoch = 4, time cost eval = 143.73437523841858s
In step 750, epoch 8,  MAE = 2.433901309967041, MSE = 3.0925378799438477, min_epoch = 7, time cost eval = 164.0125539302826s
In step 900, epoch 10,  MAE = 12.625621795654297, MSE = 12.990914344787598, min_epoch = 7, time cost eval = 159.59366631507874s
In step 1050, epoch 11,  MAE = 5.27163553237915, MSE = 5.832355499267578, min_epoch = 7, time cost eval = 193.70003986358643s
In step 1200, epoch 13,  MAE = 1.839802622795105, MSE = 2.340013265609741, min_epoch = 12, time cost eval = 167.67398023605347s
In step 1350, epoch 14,  MAE = 4.712057113647461, MSE = 5.337169170379639, min_epoch = 12, time cost eval = 171.87025356292725s
In step 1500, epoch 16,  MAE = 4.581036567687988, MSE = 5.232789039611816, min_epoch = 12, time cost eval = 166.61521434783936s
In step 1650, epoch 17,  MAE = 6.352202892303467, MSE = 6.901798725128174, min_epoch = 12, time cost eval = 168.6999704837799s
In step 1800, epoch 19,  MAE = 10.138283729553223, MSE = 10.521008491516113, min_epoch = 12, time cost eval = 166.68971037864685s
In step 1950, epoch 20,  MAE = 5.707595348358154, MSE = 6.377726078033447, min_epoch = 12, time cost eval = 171.27620697021484s
In step 2100, epoch 22,  MAE = 9.614930152893066, MSE = 9.971705436706543, min_epoch = 12, time cost eval = 172.0425431728363s
In step 2250, epoch 23,  MAE = 4.514211654663086, MSE = 5.122675895690918, min_epoch = 12, time cost eval = 169.92252326011658s
In step 2400, epoch 25,  MAE = 3.9264354705810547, MSE = 4.693003177642822, min_epoch = 12, time cost eval = 174.27091264724731s
In step 2550, epoch 26,  MAE = 6.70906400680542, MSE = 7.219532012939453, min_epoch = 12, time cost eval = 171.95701432228088s
In step 2700, epoch 28,  MAE = 3.685818672180176, MSE = 4.268709182739258, min_epoch = 12, time cost eval = 167.8115313053131s
In step 2850, epoch 29,  MAE = 9.482120513916016, MSE = 9.782257080078125, min_epoch = 12, time cost eval = 168.64687323570251s
In step 3000, epoch 31,  MAE = 4.939006805419922, MSE = 5.488674640655518, min_epoch = 12, time cost eval = 163.7948658466339s
In step 3150, epoch 32,  MAE = 3.7262372970581055, MSE = 4.297251224517822, min_epoch = 12, time cost eval = 166.44016122817993s
In step 3300, epoch 34,  MAE = 3.8753881454467773, MSE = 4.387513637542725, min_epoch = 12, time cost eval = 164.1552975177765s
In step 3450, epoch 35,  MAE = 7.278903007507324, MSE = 7.671966552734375, min_epoch = 12, time cost eval = 168.14605236053467s
In step 3600, epoch 37,  MAE = 4.6925368309021, MSE = 5.211517333984375, min_epoch = 12, time cost eval = 167.1894073486328s
In step 3750, epoch 38,  MAE = 8.281399726867676, MSE = 8.672236442565918, min_epoch = 12, time cost eval = 171.07269716262817s
In step 3900, epoch 40,  MAE = 8.105990409851074, MSE = 8.442508697509766, min_epoch = 12, time cost eval = 169.03055548667908s
In step 4050, epoch 41,  MAE = 10.9602632522583, MSE = 11.295654296875, min_epoch = 12, time cost eval = 168.4076952934265s
In step 4200, epoch 43,  MAE = 6.676286697387695, MSE = 7.099094390869141, min_epoch = 12, time cost eval = 174.63180804252625s
In step 4350, epoch 44,  MAE = 8.813009262084961, MSE = 9.119569778442383, min_epoch = 12, time cost eval = 169.14487028121948s
In step 4500, epoch 46,  MAE = 3.366461753845215, MSE = 4.043627738952637, min_epoch = 12, time cost eval = 171.06831192970276s
In step 4650, epoch 47,  MAE = 6.834444046020508, MSE = 7.197750091552734, min_epoch = 12, time cost eval = 172.06006908416748s
In step 4800, epoch 49,  MAE = 6.751983165740967, MSE = 7.092467308044434, min_epoch = 12, time cost eval = 165.84505605697632s
In step 4950, epoch 50,  MAE = 5.425594806671143, MSE = 5.846652030944824, min_epoch = 12, time cost eval = 169.18833088874817s
In step 5100, epoch 52,  MAE = 10.048068046569824, MSE = 10.372211456298828, min_epoch = 12, time cost eval = 163.9655249118805s
In step 5250, epoch 53,  MAE = 2.9747211933135986, MSE = 3.6268489360809326, min_epoch = 12, time cost eval = 168.57798314094543s
In step 5400, epoch 55,  MAE = 6.438605785369873, MSE = 6.997273921966553, min_epoch = 12, time cost eval = 167.48468542099s
In step 5550, epoch 56,  MAE = 6.207856178283691, MSE = 6.654369831085205, min_epoch = 12, time cost eval = 167.76142287254333s
In step 5700, epoch 58,  MAE = 5.832446098327637, MSE = 6.374323844909668, min_epoch = 12, time cost eval = 167.46141695976257s
In step 5850, epoch 59,  MAE = 4.30686616897583, MSE = 4.800982475280762, min_epoch = 12, time cost eval = 165.89918565750122s
In step 6000, epoch 61,  MAE = 11.364898681640625, MSE = 11.70562744140625, min_epoch = 12, time cost eval = 169.47269368171692s
In step 6150, epoch 62,  MAE = 7.905226230621338, MSE = 8.251523971557617, min_epoch = 12, time cost eval = 164.3142533302307s
In step 6300, epoch 64,  MAE = 8.395719528198242, MSE = 8.776508331298828, min_epoch = 12, time cost eval = 167.91111850738525s
In step 6450, epoch 65,  MAE = 4.5948615074157715, MSE = 5.712652206420898, min_epoch = 12, time cost eval = 168.46929383277893s
In step 6600, epoch 67,  MAE = 8.05473804473877, MSE = 8.466538429260254, min_epoch = 12, time cost eval = 165.79349541664124s
In step 6750, epoch 68,  MAE = 6.267882823944092, MSE = 6.7224578857421875, min_epoch = 12, time cost eval = 168.78515315055847s
In step 6900, epoch 70,  MAE = 6.11637544631958, MSE = 6.515713691711426, min_epoch = 12, time cost eval = 160.97203159332275s
In step 7050, epoch 71,  MAE = 4.450172424316406, MSE = 5.0337815284729, min_epoch = 12, time cost eval = 169.14302039146423s
In step 7200, epoch 73,  MAE = 9.95283031463623, MSE = 10.268891334533691, min_epoch = 12, time cost eval = 161.58348965644836s
In step 7350, epoch 74,  MAE = 10.23423957824707, MSE = 10.557856559753418, min_epoch = 12, time cost eval = 168.55030751228333s
In step 7500, epoch 76,  MAE = 4.647482872009277, MSE = 5.220095634460449, min_epoch = 12, time cost eval = 166.43794775009155s
In step 7650, epoch 77,  MAE = 4.693522930145264, MSE = 5.177687644958496, min_epoch = 12, time cost eval = 168.67598676681519s