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| 1 | +Experiment: alexnet |
| 2 | +Classes: ['BLA', 'EBO', 'EOS', 'LYT', 'MON', 'MYB', 'NGB', 'NGS', 'PEB', 'PLM', 'PMO'] |
| 3 | +Number of images: 143620 |
| 4 | +Epoch 1/3, Training Loss: 2.1615246138255952 |
| 5 | + precision recall f1-score support |
| 6 | + |
| 7 | + BLA 0.00 0.00 0.00 2360 |
| 8 | + EBO 0.00 0.00 0.00 5485 |
| 9 | + EOS 0.00 0.00 0.00 1168 |
| 10 | + LYT 0.00 0.00 0.00 5301 |
| 11 | + MON 0.00 0.00 0.00 824 |
| 12 | + MYB 0.00 0.00 0.00 1315 |
| 13 | + NGB 0.00 0.00 0.00 1970 |
| 14 | + NGS 0.20 1.00 0.34 5816 |
| 15 | + PEB 0.00 0.00 0.00 552 |
| 16 | + PLM 0.00 0.00 0.00 1519 |
| 17 | + PMO 0.00 0.00 0.00 2414 |
| 18 | + |
| 19 | + accuracy 0.20 28724 |
| 20 | + macro avg 0.02 0.09 0.03 28724 |
| 21 | +weighted avg 0.04 0.20 0.07 28724 |
| 22 | + |
| 23 | +Epoch 1/3, Validation Loss: 2.155459713232278, Val Accuracy: 0.20247876340342572, F1: 0.06818856328629555 |
| 24 | +Epoch 2/3, Training Loss: 2.1541237836261926 |
| 25 | + precision recall f1-score support |
| 26 | + |
| 27 | + BLA 0.00 0.00 0.00 2360 |
| 28 | + EBO 0.00 0.00 0.00 5485 |
| 29 | + EOS 0.00 0.00 0.00 1168 |
| 30 | + LYT 0.00 0.00 0.00 5301 |
| 31 | + MON 0.00 0.00 0.00 824 |
| 32 | + MYB 0.00 0.00 0.00 1315 |
| 33 | + NGB 0.00 0.00 0.00 1970 |
| 34 | + NGS 0.20 1.00 0.34 5816 |
| 35 | + PEB 0.00 0.00 0.00 552 |
| 36 | + PLM 0.00 0.00 0.00 1519 |
| 37 | + PMO 0.00 0.00 0.00 2414 |
| 38 | + |
| 39 | + accuracy 0.20 28724 |
| 40 | + macro avg 0.02 0.09 0.03 28724 |
| 41 | +weighted avg 0.04 0.20 0.07 28724 |
| 42 | + |
| 43 | +Epoch 2/3, Validation Loss: 2.1549122693942224, Val Accuracy: 0.20247876340342572, F1: 0.06818856328629555 |
| 44 | +Epoch 3/3, Training Loss: 2.15344971628379 |
| 45 | + precision recall f1-score support |
| 46 | + |
| 47 | + BLA 0.00 0.00 0.00 2360 |
| 48 | + EBO 0.00 0.00 0.00 5485 |
| 49 | + EOS 0.00 0.00 0.00 1168 |
| 50 | + LYT 0.00 0.00 0.00 5301 |
| 51 | + MON 0.00 0.00 0.00 824 |
| 52 | + MYB 0.00 0.00 0.00 1315 |
| 53 | + NGB 0.00 0.00 0.00 1970 |
| 54 | + NGS 0.20 1.00 0.34 5816 |
| 55 | + PEB 0.00 0.00 0.00 552 |
| 56 | + PLM 0.00 0.00 0.00 1519 |
| 57 | + PMO 0.00 0.00 0.00 2414 |
| 58 | + |
| 59 | + accuracy 0.20 28724 |
| 60 | + macro avg 0.02 0.09 0.03 28724 |
| 61 | +weighted avg 0.04 0.20 0.07 28724 |
| 62 | + |
| 63 | +Epoch 3/3, Validation Loss: 2.1539362643104885, Val Accuracy: 0.20247876340342572, F1: 0.06818856328629555 |
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