 Training results  | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 2.2018        | 1.0   | 28   | 2.1963          | 0.125    | | 2.1871        | 2.0   | 56   | 2.1715          | 0.3333   | | 2.1499        | 3.0   | 84   | 2.1349          | 0.3333   | | 2.1236        | 4.0   | 112  | 2.0749          | 0.3333   | | 2.0814        | 5.0   | 140  | 2.0232          | 0.3333   | | 2.0905        | 6.0   | 168  | 1.9028          | 0.375    | | 1.9167        | 7.0   | 196  | 1.8469          | 0.3958   | | 1.7048        | 8.0   | 224  | 1.6481          | 0.4583   | | 1.4723        | 9.0   | 252  | 1.5350          | 0.4583   | | 1.5265        | 10.0  | 280  | 1.4526          | 0.5      | | 1.2621        | 11.0  | 308  | 1.4451          | 0.4583   | | 1.5083        | 12.0  | 336  | 1.3296          | 0.4792   | | 1.1857        | 13.0  | 364  | 1.2983          | 0.4792   | | 1.3449        | 14.0  | 392  | 1.3026          | 0.4792   | | 1.2061        | 15.0  | 420  | 1.3181          | 0.4792   | | 1.2544        | 16.0  | 448  | 1.2603          | 0.4792   | | 1.0731        | 17.0  | 476  | 1.2607          | 0.4792   | | 0.8836        | 18.0  | 504  | 1.2644          | 0.4792   | | 1.0917        | 19.0  | 532  | 1.2345          | 0.4792   | | 1.0786        | 20.0  | 560  | 1.2791          | 0.4792   | | 1.1616        | 21.0  | 588  | 1.2238          | 0.4792   | | 1.0614        | 22.0  | 616  | 1.2305          | 0.4583   | | 0.9617        | 23.0  | 644  | 1.2315          | 0.4792   | | 0.9652        | 24.0  | 672  | 1.2931          | 0.4792   | | 0.9042        | 25.0  | 700  | 1.1246          | 0.5      | | 1.0865        | 26.0  | 728  | 1.1490          | 0.4792   | | 0.9653        | 27.0  | 756  | 1.1713          | 0.5      | | 0.858         | 28.0  | 784  | 1.1726          | 0.5208   | | 0.8364        | 29.0  | 812  | 1.2142          | 0.5      | | 0.6798        | 30.0  | 840  | 1.2163          | 0.5208   | | 0.9284        | 31.0  | 868  | 1.1398          | 0.4792   | | 0.7383        | 32.0  | 896  | 1.2418          | 0.5208   | | 0.651         | 33.0  | 924  | 1.1734          | 0.5      | | 0.7416        | 34.0  | 952  | 1.2285          | 0.5      | | 0.6287        | 35.0  | 980  | 1.1467          | 0.5833   | | 0.6806        | 36.0  | 1008 | 1.1589          | 0.5625   | | 0.6148        | 37.0  | 1036 | 1.1373          | 0.5833   | | 0.7174        | 38.0  | 1064 | 1.2118          | 0.5625   | | 0.6056        | 39.0  | 1092 | 1.2205          | 0.5833   | | 0.7041        | 40.0  | 1120 | 1.2408          | 0.5833   | | 0.631         | 41.0  | 1148 | 1.2350          | 0.5833   | | 0.6028        | 42.0  | 1176 | 1.2787          | 0.5833   | | 0.5942        | 43.0  | 1204 | 1.2463          | 0.5833   | | 0.5441        | 44.0  | 1232 | 1.2496          | 0.5833   | | 0.5042        | 45.0  | 1260 | 1.2518          | 0.5833   |   