| PHASEB_TRAIN_V1 samples=900 |
| ep00 loss=0.1101 val_top2=0.911 (best 0.911) |
| ep01 loss=0.0729 val_top2=0.922 (best 0.922) |
| ep02 loss=0.0544 val_top2=0.978 (best 0.978) |
| ep03 loss=0.0378 val_top2=0.994 (best 0.994) |
| ep04 loss=0.0331 val_top2=1.000 (best 1.000) |
| ep05 loss=0.0304 val_top2=1.000 (best 1.000) |
| ep06 loss=0.0275 val_top2=0.994 (best 1.000) |
| ep07 loss=0.0256 val_top2=0.994 (best 1.000) |
| ep08 loss=0.0239 val_top2=0.989 (best 1.000) |
| ep09 loss=0.0227 val_top2=1.000 (best 1.000) |
| ep10 loss=0.0213 val_top2=1.000 (best 1.000) |
| ep11 loss=0.0206 val_top2=1.000 (best 1.000) |
| ep12 loss=0.0194 val_top2=0.994 (best 1.000) |
| ep13 loss=0.0183 val_top2=1.000 (best 1.000) |
| ep14 loss=0.0182 val_top2=0.994 (best 1.000) |
| ep15 loss=0.0166 val_top2=1.000 (best 1.000) |
| ep16 loss=0.0173 val_top2=1.000 (best 1.000) |
| ep17 loss=0.0149 val_top2=1.000 (best 1.000) |
| ep18 loss=0.0139 val_top2=1.000 (best 1.000) |
| ep19 loss=0.0144 val_top2=0.994 (best 1.000) |
| ep20 loss=0.0167 val_top2=1.000 (best 1.000) |
| ep21 loss=0.0130 val_top2=1.000 (best 1.000) |
| ep22 loss=0.0128 val_top2=1.000 (best 1.000) |
| ep23 loss=0.0127 val_top2=1.000 (best 1.000) |
| ep24 loss=0.0124 val_top2=1.000 (best 1.000) |
| ep25 loss=0.0115 val_top2=1.000 (best 1.000) |
| ep26 loss=0.0121 val_top2=1.000 (best 1.000) |
| ep27 loss=0.0113 val_top2=1.000 (best 1.000) |
| ep28 loss=0.0111 val_top2=1.000 (best 1.000) |
| ep29 loss=0.0121 val_top2=1.000 (best 1.000) |
| ep30 loss=0.0107 val_top2=1.000 (best 1.000) |
| ep31 loss=0.0109 val_top2=1.000 (best 1.000) |
| ep32 loss=0.0101 val_top2=1.000 (best 1.000) |
| ep33 loss=0.0110 val_top2=1.000 (best 1.000) |
| ep34 loss=0.0105 val_top2=1.000 (best 1.000) |
| ep35 loss=0.0091 val_top2=1.000 (best 1.000) |
| ep36 loss=0.0104 val_top2=1.000 (best 1.000) |
| ep37 loss=0.0095 val_top2=0.994 (best 1.000) |
| ep38 loss=0.0171 val_top2=1.000 (best 1.000) |
| ep39 loss=0.0091 val_top2=1.000 (best 1.000) |
| HELDOUT top2=0.883 n=180 |
| PHASEB_TRAIN_DONE best_val_top2=1.000 train_top2=1.000 |
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