add ANN model run ann_frame_2d
Browse files
ann_frame_2d/ann_frame_2d.epochs.csv
ADDED
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| 1 |
+
epoch,train_loss,train_acc,test_loss,test_acc,best_acc,time_sec,timestamp
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| 2 |
+
1,1.5296,0.5651,1.1405,0.5606,0.5606,0.8,2026-09-13T03:26:24.325114+00:00
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| 3 |
+
2,1.2054,0.7156,0.8942,0.7311,0.7311,0.21,2026-09-13T03:26:24.591052+00:00
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| 4 |
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3,1.1665,0.7193,0.8581,0.75,0.75,0.24,2026-09-13T03:26:24.892721+00:00
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| 5 |
+
4,1.0713,0.7621,0.7923,0.7841,0.7841,0.25,2026-09-13T03:26:25.195187+00:00
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| 6 |
+
5,1.009,0.8253,0.7158,0.7689,0.7841,0.23,2026-09-13T03:26:25.475732+00:00
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| 7 |
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6,0.9655,0.8457,0.7644,0.803,0.803,0.24,2026-09-13T03:26:25.760283+00:00
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| 8 |
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7,0.9526,0.8383,0.8105,0.7538,0.803,0.22,2026-09-13T03:26:26.034259+00:00
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| 9 |
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8,0.9161,0.8439,0.6826,0.8106,0.8106,0.21,2026-09-13T03:26:26.299313+00:00
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| 10 |
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9,0.868,0.8773,0.67,0.7955,0.8106,0.22,2026-09-13T03:26:26.569195+00:00
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| 11 |
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10,0.8811,0.8717,0.5789,0.8561,0.8561,0.22,2026-09-13T03:26:26.836974+00:00
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| 12 |
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11,0.8448,0.8903,0.681,0.8409,0.8561,0.22,2026-09-13T03:26:27.107853+00:00
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| 13 |
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12,0.872,0.8717,0.7275,0.7765,0.8561,0.23,2026-09-13T03:26:27.390591+00:00
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| 14 |
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13,0.8453,0.8736,0.6043,0.8447,0.8561,0.22,2026-09-13T03:26:27.665830+00:00
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| 15 |
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14,0.8038,0.9108,0.8339,0.7273,0.8561,0.21,2026-09-13T03:26:27.930440+00:00
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| 16 |
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15,0.7619,0.9312,0.6906,0.8144,0.8561,0.21,2026-09-13T03:26:28.193461+00:00
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| 17 |
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16,0.7784,0.9164,0.6715,0.8068,0.8561,0.24,2026-09-13T03:26:28.477204+00:00
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| 18 |
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17,0.7653,0.9294,0.5617,0.8485,0.8561,0.21,2026-09-13T03:26:28.737778+00:00
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| 19 |
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18,0.7282,0.9461,0.5886,0.8561,0.8561,0.22,2026-09-13T03:26:29.003743+00:00
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| 20 |
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19,0.7484,0.9257,0.7055,0.7841,0.8561,0.21,2026-09-13T03:26:29.267259+00:00
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| 21 |
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20,0.7032,0.9405,0.5558,0.8826,0.8826,0.25,2026-09-13T03:26:29.566672+00:00
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| 22 |
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21,0.7279,0.9368,0.465,0.9091,0.9091,0.22,2026-09-13T03:26:29.835224+00:00
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| 23 |
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22,0.748,0.9257,0.5881,0.8447,0.9091,0.25,2026-09-13T03:26:30.138535+00:00
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| 24 |
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23,0.6792,0.9628,0.59,0.8447,0.9091,0.27,2026-09-13T03:26:30.457908+00:00
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| 25 |
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24,0.673,0.961,0.6008,0.8447,0.9091,0.22,2026-09-13T03:26:30.721953+00:00
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| 26 |
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25,0.6703,0.9647,0.4683,0.8939,0.9091,0.21,2026-09-13T03:26:30.985476+00:00
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| 27 |
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26,0.6823,0.9572,0.5968,0.8295,0.9091,0.23,2026-09-13T03:26:31.262450+00:00
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| 28 |
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27,0.6697,0.9703,0.432,0.8977,0.9091,0.22,2026-09-13T03:26:31.530991+00:00
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| 29 |
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28,0.6567,0.9647,0.5256,0.8523,0.9091,0.22,2026-09-13T03:26:31.801545+00:00
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| 30 |
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29,0.6684,0.9684,0.5648,0.8712,0.9091,0.23,2026-09-13T03:26:32.077549+00:00
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| 31 |
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30,0.6729,0.9554,0.4914,0.8826,0.9091,0.24,2026-09-13T03:26:32.365187+00:00
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| 32 |
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31,0.655,0.9703,0.3923,0.8977,0.9091,0.21,2026-09-13T03:26:32.625743+00:00
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| 33 |
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32,0.6377,0.9777,0.6237,0.8333,0.9091,0.24,2026-09-13T03:26:32.915337+00:00
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| 34 |
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33,0.6555,0.9721,0.4181,0.9129,0.9129,0.21,2026-09-13T03:26:33.181094+00:00
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| 35 |
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34,0.6431,0.9814,0.422,0.8939,0.9129,0.22,2026-09-13T03:26:33.449520+00:00
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| 36 |
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35,0.6338,0.974,0.4641,0.9053,0.9129,0.22,2026-09-13T03:26:33.714515+00:00
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| 37 |
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36,0.6469,0.974,0.4654,0.875,0.9129,0.22,2026-09-13T03:26:33.980340+00:00
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| 38 |
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37,0.6389,0.9647,0.4516,0.8788,0.9129,0.22,2026-09-13T03:26:34.247911+00:00
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| 39 |
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38,0.6663,0.9591,0.4952,0.8712,0.9129,0.27,2026-09-13T03:26:34.562519+00:00
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| 40 |
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39,0.6271,0.9814,0.366,0.9205,0.9205,0.22,2026-09-13T03:26:34.833159+00:00
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| 41 |
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40,0.6364,0.9777,0.4872,0.8826,0.9205,0.22,2026-09-13T03:26:35.104180+00:00
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| 42 |
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41,0.6149,0.9907,0.3928,0.9205,0.9205,0.22,2026-09-13T03:26:35.373253+00:00
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| 43 |
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42,0.6274,0.9796,0.4736,0.8864,0.9205,0.21,2026-09-13T03:26:35.630986+00:00
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| 44 |
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43,0.5972,0.9888,0.4845,0.8864,0.9205,0.21,2026-09-13T03:26:35.888399+00:00
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| 45 |
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44,0.611,0.9814,0.4341,0.8788,0.9205,0.21,2026-09-13T03:26:36.150959+00:00
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| 46 |
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45,0.625,0.9796,0.4476,0.8864,0.9205,0.22,2026-09-13T03:26:36.423323+00:00
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| 47 |
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46,0.6128,0.987,0.455,0.9129,0.9205,0.22,2026-09-13T03:26:36.692770+00:00
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| 48 |
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47,0.6113,0.9833,0.4325,0.9129,0.9205,0.22,2026-09-13T03:26:36.959631+00:00
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| 49 |
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48,0.6012,0.9814,0.4386,0.8826,0.9205,0.22,2026-09-13T03:26:37.228307+00:00
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| 50 |
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49,0.5932,0.9926,0.3852,0.8977,0.9205,0.22,2026-09-13T03:26:37.496576+00:00
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| 51 |
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50,0.5991,0.9833,0.4557,0.8788,0.9205,0.21,2026-09-13T03:26:37.756989+00:00
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| 52 |
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51,0.6002,0.987,0.4363,0.9053,0.9205,0.26,2026-09-13T03:26:38.066168+00:00
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| 53 |
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52,0.5923,0.9944,0.4015,0.8977,0.9205,0.22,2026-09-13T03:26:38.332392+00:00
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| 54 |
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53,0.5913,0.9888,0.3999,0.9091,0.9205,0.21,2026-09-13T03:26:38.593828+00:00
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| 55 |
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54,0.5877,0.9926,0.4296,0.8826,0.9205,0.22,2026-09-13T03:26:38.862793+00:00
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| 56 |
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55,0.5982,0.9833,0.4506,0.8826,0.9205,0.23,2026-09-13T03:26:39.145003+00:00
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| 57 |
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56,0.5957,0.9926,0.4749,0.8712,0.9205,0.22,2026-09-13T03:26:39.413351+00:00
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| 58 |
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57,0.5926,0.9907,0.3596,0.9205,0.9205,0.21,2026-09-13T03:26:39.667720+00:00
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| 59 |
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58,0.5893,0.9981,0.4014,0.9053,0.9205,0.21,2026-09-13T03:26:39.927868+00:00
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| 60 |
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59,0.5896,0.9963,0.3632,0.9053,0.9205,0.22,2026-09-13T03:26:40.199837+00:00
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| 61 |
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60,0.5833,0.9907,0.3695,0.9205,0.9205,0.25,2026-09-13T03:26:40.497160+00:00
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| 62 |
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61,0.5841,0.9926,0.3374,0.9356,0.9356,0.23,2026-09-13T03:26:40.779504+00:00
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| 63 |
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62,0.5794,0.9944,0.3869,0.9167,0.9356,0.21,2026-09-13T03:26:41.045125+00:00
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| 64 |
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63,0.5772,1.0,0.3571,0.9129,0.9356,0.24,2026-09-13T03:26:41.331191+00:00
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| 65 |
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64,0.5736,1.0,0.3209,0.9242,0.9356,0.23,2026-09-13T03:26:41.608766+00:00
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| 66 |
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65,0.5753,0.9944,0.3649,0.9129,0.9356,0.21,2026-09-13T03:26:41.867016+00:00
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| 67 |
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66,0.5783,0.9944,0.412,0.8977,0.9356,0.24,2026-09-13T03:26:42.157214+00:00
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| 68 |
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67,0.5789,0.9907,0.3413,0.928,0.9356,0.25,2026-09-13T03:26:42.452089+00:00
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| 69 |
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68,0.5638,1.0,0.3541,0.9053,0.9356,0.22,2026-09-13T03:26:42.717498+00:00
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| 70 |
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69,0.5655,0.9981,0.3664,0.9205,0.9356,0.22,2026-09-13T03:26:42.986588+00:00
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| 71 |
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70,0.5664,0.9963,0.3883,0.8977,0.9356,0.26,2026-09-13T03:26:43.301636+00:00
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| 72 |
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71,0.5649,0.9963,0.3801,0.9242,0.9356,0.21,2026-09-13T03:26:43.567162+00:00
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| 73 |
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72,0.5739,0.9926,0.3577,0.9242,0.9356,0.29,2026-09-13T03:26:43.902564+00:00
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| 74 |
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73,0.5718,0.9981,0.3574,0.9091,0.9356,0.22,2026-09-13T03:26:44.173850+00:00
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| 75 |
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74,0.5618,1.0,0.3562,0.928,0.9356,0.22,2026-09-13T03:26:44.440304+00:00
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| 76 |
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75,0.5602,1.0,0.379,0.9091,0.9356,0.24,2026-09-13T03:26:44.728165+00:00
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| 77 |
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76,0.582,0.9944,0.3945,0.9091,0.9356,0.21,2026-09-13T03:26:44.991612+00:00
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| 78 |
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77,0.5669,0.9963,0.3234,0.9242,0.9356,0.23,2026-09-13T03:26:45.273005+00:00
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| 79 |
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78,0.5654,0.9981,0.3454,0.928,0.9356,0.22,2026-09-13T03:26:45.536330+00:00
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| 80 |
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79,0.5595,1.0,0.3463,0.9205,0.9356,0.21,2026-09-13T03:26:45.794424+00:00
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| 81 |
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80,0.5623,0.9981,0.3476,0.9242,0.9356,0.21,2026-09-13T03:26:46.055919+00:00
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| 82 |
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81,0.5572,1.0,0.3416,0.9242,0.9356,0.22,2026-09-13T03:26:46.324378+00:00
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| 83 |
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82,0.5555,1.0,0.3525,0.9242,0.9356,0.23,2026-09-13T03:26:46.603390+00:00
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| 84 |
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83,0.5527,0.9981,0.3479,0.9205,0.9356,0.22,2026-09-13T03:26:46.870655+00:00
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| 85 |
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84,0.5646,0.9981,0.3443,0.9205,0.9356,0.22,2026-09-13T03:26:47.138756+00:00
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| 86 |
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85,0.5547,0.9981,0.3491,0.9242,0.9356,0.21,2026-09-13T03:26:47.399806+00:00
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| 87 |
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86,0.5573,1.0,0.3457,0.9167,0.9356,0.22,2026-09-13T03:26:47.664097+00:00
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| 88 |
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87,0.5506,1.0,0.3357,0.9242,0.9356,0.21,2026-09-13T03:26:47.921077+00:00
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| 89 |
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88,0.5538,0.9981,0.3328,0.9356,0.9356,0.22,2026-09-13T03:26:48.186857+00:00
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| 90 |
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89,0.5522,1.0,0.3265,0.9356,0.9356,0.24,2026-09-13T03:26:48.479431+00:00
|
| 91 |
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90,0.5592,0.9963,0.3341,0.928,0.9356,0.23,2026-09-13T03:26:48.764347+00:00
|
| 92 |
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91,0.5578,0.9981,0.343,0.9242,0.9356,0.38,2026-09-13T03:26:49.216258+00:00
|
| 93 |
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92,0.5553,1.0,0.3427,0.9242,0.9356,0.3,2026-09-13T03:26:49.589097+00:00
|
| 94 |
+
93,0.5572,0.9981,0.3336,0.928,0.9356,0.27,2026-09-13T03:26:49.947920+00:00
|
| 95 |
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94,0.5626,0.9926,0.3249,0.928,0.9356,0.25,2026-09-13T03:26:50.250969+00:00
|
| 96 |
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95,0.5591,1.0,0.3254,0.9318,0.9356,0.26,2026-09-13T03:26:50.576175+00:00
|
| 97 |
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96,0.5628,0.9981,0.326,0.928,0.9356,0.25,2026-09-13T03:26:50.873005+00:00
|
| 98 |
+
97,0.5595,0.9981,0.3345,0.928,0.9356,0.25,2026-09-13T03:26:51.177475+00:00
|
| 99 |
+
98,0.5584,0.9981,0.3347,0.928,0.9356,0.22,2026-09-13T03:26:51.447431+00:00
|
| 100 |
+
99,0.5559,0.9981,0.3255,0.9356,0.9356,0.21,2026-09-13T03:26:51.705545+00:00
|
| 101 |
+
100,0.5566,1.0,0.3297,0.928,0.9356,0.22,2026-09-13T03:26:51.969798+00:00
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ann_frame_2d/ann_frame_2d.epochs.jsonl
ADDED
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@@ -0,0 +1,100 @@
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| 1 |
+
{"epoch": 1, "train_loss": 1.5296, "train_acc": 0.5651, "test_loss": 1.1405, "test_acc": 0.5606, "best_acc": 0.5606, "time_sec": 0.8, "timestamp": "2026-09-13T03:26:24.325114+00:00"}
|
| 2 |
+
{"epoch": 2, "train_loss": 1.2054, "train_acc": 0.7156, "test_loss": 0.8942, "test_acc": 0.7311, "best_acc": 0.7311, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:24.591052+00:00"}
|
| 3 |
+
{"epoch": 3, "train_loss": 1.1665, "train_acc": 0.7193, "test_loss": 0.8581, "test_acc": 0.75, "best_acc": 0.75, "time_sec": 0.24, "timestamp": "2026-09-13T03:26:24.892721+00:00"}
|
| 4 |
+
{"epoch": 4, "train_loss": 1.0713, "train_acc": 0.7621, "test_loss": 0.7923, "test_acc": 0.7841, "best_acc": 0.7841, "time_sec": 0.25, "timestamp": "2026-09-13T03:26:25.195187+00:00"}
|
| 5 |
+
{"epoch": 5, "train_loss": 1.009, "train_acc": 0.8253, "test_loss": 0.7158, "test_acc": 0.7689, "best_acc": 0.7841, "time_sec": 0.23, "timestamp": "2026-09-13T03:26:25.475732+00:00"}
|
| 6 |
+
{"epoch": 6, "train_loss": 0.9655, "train_acc": 0.8457, "test_loss": 0.7644, "test_acc": 0.803, "best_acc": 0.803, "time_sec": 0.24, "timestamp": "2026-09-13T03:26:25.760283+00:00"}
|
| 7 |
+
{"epoch": 7, "train_loss": 0.9526, "train_acc": 0.8383, "test_loss": 0.8105, "test_acc": 0.7538, "best_acc": 0.803, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:26.034259+00:00"}
|
| 8 |
+
{"epoch": 8, "train_loss": 0.9161, "train_acc": 0.8439, "test_loss": 0.6826, "test_acc": 0.8106, "best_acc": 0.8106, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:26.299313+00:00"}
|
| 9 |
+
{"epoch": 9, "train_loss": 0.868, "train_acc": 0.8773, "test_loss": 0.67, "test_acc": 0.7955, "best_acc": 0.8106, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:26.569195+00:00"}
|
| 10 |
+
{"epoch": 10, "train_loss": 0.8811, "train_acc": 0.8717, "test_loss": 0.5789, "test_acc": 0.8561, "best_acc": 0.8561, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:26.836974+00:00"}
|
| 11 |
+
{"epoch": 11, "train_loss": 0.8448, "train_acc": 0.8903, "test_loss": 0.681, "test_acc": 0.8409, "best_acc": 0.8561, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:27.107853+00:00"}
|
| 12 |
+
{"epoch": 12, "train_loss": 0.872, "train_acc": 0.8717, "test_loss": 0.7275, "test_acc": 0.7765, "best_acc": 0.8561, "time_sec": 0.23, "timestamp": "2026-09-13T03:26:27.390591+00:00"}
|
| 13 |
+
{"epoch": 13, "train_loss": 0.8453, "train_acc": 0.8736, "test_loss": 0.6043, "test_acc": 0.8447, "best_acc": 0.8561, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:27.665830+00:00"}
|
| 14 |
+
{"epoch": 14, "train_loss": 0.8038, "train_acc": 0.9108, "test_loss": 0.8339, "test_acc": 0.7273, "best_acc": 0.8561, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:27.930440+00:00"}
|
| 15 |
+
{"epoch": 15, "train_loss": 0.7619, "train_acc": 0.9312, "test_loss": 0.6906, "test_acc": 0.8144, "best_acc": 0.8561, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:28.193461+00:00"}
|
| 16 |
+
{"epoch": 16, "train_loss": 0.7784, "train_acc": 0.9164, "test_loss": 0.6715, "test_acc": 0.8068, "best_acc": 0.8561, "time_sec": 0.24, "timestamp": "2026-09-13T03:26:28.477204+00:00"}
|
| 17 |
+
{"epoch": 17, "train_loss": 0.7653, "train_acc": 0.9294, "test_loss": 0.5617, "test_acc": 0.8485, "best_acc": 0.8561, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:28.737778+00:00"}
|
| 18 |
+
{"epoch": 18, "train_loss": 0.7282, "train_acc": 0.9461, "test_loss": 0.5886, "test_acc": 0.8561, "best_acc": 0.8561, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:29.003743+00:00"}
|
| 19 |
+
{"epoch": 19, "train_loss": 0.7484, "train_acc": 0.9257, "test_loss": 0.7055, "test_acc": 0.7841, "best_acc": 0.8561, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:29.267259+00:00"}
|
| 20 |
+
{"epoch": 20, "train_loss": 0.7032, "train_acc": 0.9405, "test_loss": 0.5558, "test_acc": 0.8826, "best_acc": 0.8826, "time_sec": 0.25, "timestamp": "2026-09-13T03:26:29.566672+00:00"}
|
| 21 |
+
{"epoch": 21, "train_loss": 0.7279, "train_acc": 0.9368, "test_loss": 0.465, "test_acc": 0.9091, "best_acc": 0.9091, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:29.835224+00:00"}
|
| 22 |
+
{"epoch": 22, "train_loss": 0.748, "train_acc": 0.9257, "test_loss": 0.5881, "test_acc": 0.8447, "best_acc": 0.9091, "time_sec": 0.25, "timestamp": "2026-09-13T03:26:30.138535+00:00"}
|
| 23 |
+
{"epoch": 23, "train_loss": 0.6792, "train_acc": 0.9628, "test_loss": 0.59, "test_acc": 0.8447, "best_acc": 0.9091, "time_sec": 0.27, "timestamp": "2026-09-13T03:26:30.457908+00:00"}
|
| 24 |
+
{"epoch": 24, "train_loss": 0.673, "train_acc": 0.961, "test_loss": 0.6008, "test_acc": 0.8447, "best_acc": 0.9091, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:30.721953+00:00"}
|
| 25 |
+
{"epoch": 25, "train_loss": 0.6703, "train_acc": 0.9647, "test_loss": 0.4683, "test_acc": 0.8939, "best_acc": 0.9091, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:30.985476+00:00"}
|
| 26 |
+
{"epoch": 26, "train_loss": 0.6823, "train_acc": 0.9572, "test_loss": 0.5968, "test_acc": 0.8295, "best_acc": 0.9091, "time_sec": 0.23, "timestamp": "2026-09-13T03:26:31.262450+00:00"}
|
| 27 |
+
{"epoch": 27, "train_loss": 0.6697, "train_acc": 0.9703, "test_loss": 0.432, "test_acc": 0.8977, "best_acc": 0.9091, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:31.530991+00:00"}
|
| 28 |
+
{"epoch": 28, "train_loss": 0.6567, "train_acc": 0.9647, "test_loss": 0.5256, "test_acc": 0.8523, "best_acc": 0.9091, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:31.801545+00:00"}
|
| 29 |
+
{"epoch": 29, "train_loss": 0.6684, "train_acc": 0.9684, "test_loss": 0.5648, "test_acc": 0.8712, "best_acc": 0.9091, "time_sec": 0.23, "timestamp": "2026-09-13T03:26:32.077549+00:00"}
|
| 30 |
+
{"epoch": 30, "train_loss": 0.6729, "train_acc": 0.9554, "test_loss": 0.4914, "test_acc": 0.8826, "best_acc": 0.9091, "time_sec": 0.24, "timestamp": "2026-09-13T03:26:32.365187+00:00"}
|
| 31 |
+
{"epoch": 31, "train_loss": 0.655, "train_acc": 0.9703, "test_loss": 0.3923, "test_acc": 0.8977, "best_acc": 0.9091, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:32.625743+00:00"}
|
| 32 |
+
{"epoch": 32, "train_loss": 0.6377, "train_acc": 0.9777, "test_loss": 0.6237, "test_acc": 0.8333, "best_acc": 0.9091, "time_sec": 0.24, "timestamp": "2026-09-13T03:26:32.915337+00:00"}
|
| 33 |
+
{"epoch": 33, "train_loss": 0.6555, "train_acc": 0.9721, "test_loss": 0.4181, "test_acc": 0.9129, "best_acc": 0.9129, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:33.181094+00:00"}
|
| 34 |
+
{"epoch": 34, "train_loss": 0.6431, "train_acc": 0.9814, "test_loss": 0.422, "test_acc": 0.8939, "best_acc": 0.9129, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:33.449520+00:00"}
|
| 35 |
+
{"epoch": 35, "train_loss": 0.6338, "train_acc": 0.974, "test_loss": 0.4641, "test_acc": 0.9053, "best_acc": 0.9129, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:33.714515+00:00"}
|
| 36 |
+
{"epoch": 36, "train_loss": 0.6469, "train_acc": 0.974, "test_loss": 0.4654, "test_acc": 0.875, "best_acc": 0.9129, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:33.980340+00:00"}
|
| 37 |
+
{"epoch": 37, "train_loss": 0.6389, "train_acc": 0.9647, "test_loss": 0.4516, "test_acc": 0.8788, "best_acc": 0.9129, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:34.247911+00:00"}
|
| 38 |
+
{"epoch": 38, "train_loss": 0.6663, "train_acc": 0.9591, "test_loss": 0.4952, "test_acc": 0.8712, "best_acc": 0.9129, "time_sec": 0.27, "timestamp": "2026-09-13T03:26:34.562519+00:00"}
|
| 39 |
+
{"epoch": 39, "train_loss": 0.6271, "train_acc": 0.9814, "test_loss": 0.366, "test_acc": 0.9205, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:34.833159+00:00"}
|
| 40 |
+
{"epoch": 40, "train_loss": 0.6364, "train_acc": 0.9777, "test_loss": 0.4872, "test_acc": 0.8826, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:35.104180+00:00"}
|
| 41 |
+
{"epoch": 41, "train_loss": 0.6149, "train_acc": 0.9907, "test_loss": 0.3928, "test_acc": 0.9205, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:35.373253+00:00"}
|
| 42 |
+
{"epoch": 42, "train_loss": 0.6274, "train_acc": 0.9796, "test_loss": 0.4736, "test_acc": 0.8864, "best_acc": 0.9205, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:35.630986+00:00"}
|
| 43 |
+
{"epoch": 43, "train_loss": 0.5972, "train_acc": 0.9888, "test_loss": 0.4845, "test_acc": 0.8864, "best_acc": 0.9205, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:35.888399+00:00"}
|
| 44 |
+
{"epoch": 44, "train_loss": 0.611, "train_acc": 0.9814, "test_loss": 0.4341, "test_acc": 0.8788, "best_acc": 0.9205, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:36.150959+00:00"}
|
| 45 |
+
{"epoch": 45, "train_loss": 0.625, "train_acc": 0.9796, "test_loss": 0.4476, "test_acc": 0.8864, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:36.423323+00:00"}
|
| 46 |
+
{"epoch": 46, "train_loss": 0.6128, "train_acc": 0.987, "test_loss": 0.455, "test_acc": 0.9129, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:36.692770+00:00"}
|
| 47 |
+
{"epoch": 47, "train_loss": 0.6113, "train_acc": 0.9833, "test_loss": 0.4325, "test_acc": 0.9129, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:36.959631+00:00"}
|
| 48 |
+
{"epoch": 48, "train_loss": 0.6012, "train_acc": 0.9814, "test_loss": 0.4386, "test_acc": 0.8826, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:37.228307+00:00"}
|
| 49 |
+
{"epoch": 49, "train_loss": 0.5932, "train_acc": 0.9926, "test_loss": 0.3852, "test_acc": 0.8977, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:37.496576+00:00"}
|
| 50 |
+
{"epoch": 50, "train_loss": 0.5991, "train_acc": 0.9833, "test_loss": 0.4557, "test_acc": 0.8788, "best_acc": 0.9205, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:37.756989+00:00"}
|
| 51 |
+
{"epoch": 51, "train_loss": 0.6002, "train_acc": 0.987, "test_loss": 0.4363, "test_acc": 0.9053, "best_acc": 0.9205, "time_sec": 0.26, "timestamp": "2026-09-13T03:26:38.066168+00:00"}
|
| 52 |
+
{"epoch": 52, "train_loss": 0.5923, "train_acc": 0.9944, "test_loss": 0.4015, "test_acc": 0.8977, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:38.332392+00:00"}
|
| 53 |
+
{"epoch": 53, "train_loss": 0.5913, "train_acc": 0.9888, "test_loss": 0.3999, "test_acc": 0.9091, "best_acc": 0.9205, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:38.593828+00:00"}
|
| 54 |
+
{"epoch": 54, "train_loss": 0.5877, "train_acc": 0.9926, "test_loss": 0.4296, "test_acc": 0.8826, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:38.862793+00:00"}
|
| 55 |
+
{"epoch": 55, "train_loss": 0.5982, "train_acc": 0.9833, "test_loss": 0.4506, "test_acc": 0.8826, "best_acc": 0.9205, "time_sec": 0.23, "timestamp": "2026-09-13T03:26:39.145003+00:00"}
|
| 56 |
+
{"epoch": 56, "train_loss": 0.5957, "train_acc": 0.9926, "test_loss": 0.4749, "test_acc": 0.8712, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:39.413351+00:00"}
|
| 57 |
+
{"epoch": 57, "train_loss": 0.5926, "train_acc": 0.9907, "test_loss": 0.3596, "test_acc": 0.9205, "best_acc": 0.9205, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:39.667720+00:00"}
|
| 58 |
+
{"epoch": 58, "train_loss": 0.5893, "train_acc": 0.9981, "test_loss": 0.4014, "test_acc": 0.9053, "best_acc": 0.9205, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:39.927868+00:00"}
|
| 59 |
+
{"epoch": 59, "train_loss": 0.5896, "train_acc": 0.9963, "test_loss": 0.3632, "test_acc": 0.9053, "best_acc": 0.9205, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:40.199837+00:00"}
|
| 60 |
+
{"epoch": 60, "train_loss": 0.5833, "train_acc": 0.9907, "test_loss": 0.3695, "test_acc": 0.9205, "best_acc": 0.9205, "time_sec": 0.25, "timestamp": "2026-09-13T03:26:40.497160+00:00"}
|
| 61 |
+
{"epoch": 61, "train_loss": 0.5841, "train_acc": 0.9926, "test_loss": 0.3374, "test_acc": 0.9356, "best_acc": 0.9356, "time_sec": 0.23, "timestamp": "2026-09-13T03:26:40.779504+00:00"}
|
| 62 |
+
{"epoch": 62, "train_loss": 0.5794, "train_acc": 0.9944, "test_loss": 0.3869, "test_acc": 0.9167, "best_acc": 0.9356, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:41.045125+00:00"}
|
| 63 |
+
{"epoch": 63, "train_loss": 0.5772, "train_acc": 1.0, "test_loss": 0.3571, "test_acc": 0.9129, "best_acc": 0.9356, "time_sec": 0.24, "timestamp": "2026-09-13T03:26:41.331191+00:00"}
|
| 64 |
+
{"epoch": 64, "train_loss": 0.5736, "train_acc": 1.0, "test_loss": 0.3209, "test_acc": 0.9242, "best_acc": 0.9356, "time_sec": 0.23, "timestamp": "2026-09-13T03:26:41.608766+00:00"}
|
| 65 |
+
{"epoch": 65, "train_loss": 0.5753, "train_acc": 0.9944, "test_loss": 0.3649, "test_acc": 0.9129, "best_acc": 0.9356, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:41.867016+00:00"}
|
| 66 |
+
{"epoch": 66, "train_loss": 0.5783, "train_acc": 0.9944, "test_loss": 0.412, "test_acc": 0.8977, "best_acc": 0.9356, "time_sec": 0.24, "timestamp": "2026-09-13T03:26:42.157214+00:00"}
|
| 67 |
+
{"epoch": 67, "train_loss": 0.5789, "train_acc": 0.9907, "test_loss": 0.3413, "test_acc": 0.928, "best_acc": 0.9356, "time_sec": 0.25, "timestamp": "2026-09-13T03:26:42.452089+00:00"}
|
| 68 |
+
{"epoch": 68, "train_loss": 0.5638, "train_acc": 1.0, "test_loss": 0.3541, "test_acc": 0.9053, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:42.717498+00:00"}
|
| 69 |
+
{"epoch": 69, "train_loss": 0.5655, "train_acc": 0.9981, "test_loss": 0.3664, "test_acc": 0.9205, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:42.986588+00:00"}
|
| 70 |
+
{"epoch": 70, "train_loss": 0.5664, "train_acc": 0.9963, "test_loss": 0.3883, "test_acc": 0.8977, "best_acc": 0.9356, "time_sec": 0.26, "timestamp": "2026-09-13T03:26:43.301636+00:00"}
|
| 71 |
+
{"epoch": 71, "train_loss": 0.5649, "train_acc": 0.9963, "test_loss": 0.3801, "test_acc": 0.9242, "best_acc": 0.9356, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:43.567162+00:00"}
|
| 72 |
+
{"epoch": 72, "train_loss": 0.5739, "train_acc": 0.9926, "test_loss": 0.3577, "test_acc": 0.9242, "best_acc": 0.9356, "time_sec": 0.29, "timestamp": "2026-09-13T03:26:43.902564+00:00"}
|
| 73 |
+
{"epoch": 73, "train_loss": 0.5718, "train_acc": 0.9981, "test_loss": 0.3574, "test_acc": 0.9091, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:44.173850+00:00"}
|
| 74 |
+
{"epoch": 74, "train_loss": 0.5618, "train_acc": 1.0, "test_loss": 0.3562, "test_acc": 0.928, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:44.440304+00:00"}
|
| 75 |
+
{"epoch": 75, "train_loss": 0.5602, "train_acc": 1.0, "test_loss": 0.379, "test_acc": 0.9091, "best_acc": 0.9356, "time_sec": 0.24, "timestamp": "2026-09-13T03:26:44.728165+00:00"}
|
| 76 |
+
{"epoch": 76, "train_loss": 0.582, "train_acc": 0.9944, "test_loss": 0.3945, "test_acc": 0.9091, "best_acc": 0.9356, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:44.991612+00:00"}
|
| 77 |
+
{"epoch": 77, "train_loss": 0.5669, "train_acc": 0.9963, "test_loss": 0.3234, "test_acc": 0.9242, "best_acc": 0.9356, "time_sec": 0.23, "timestamp": "2026-09-13T03:26:45.273005+00:00"}
|
| 78 |
+
{"epoch": 78, "train_loss": 0.5654, "train_acc": 0.9981, "test_loss": 0.3454, "test_acc": 0.928, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:45.536330+00:00"}
|
| 79 |
+
{"epoch": 79, "train_loss": 0.5595, "train_acc": 1.0, "test_loss": 0.3463, "test_acc": 0.9205, "best_acc": 0.9356, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:45.794424+00:00"}
|
| 80 |
+
{"epoch": 80, "train_loss": 0.5623, "train_acc": 0.9981, "test_loss": 0.3476, "test_acc": 0.9242, "best_acc": 0.9356, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:46.055919+00:00"}
|
| 81 |
+
{"epoch": 81, "train_loss": 0.5572, "train_acc": 1.0, "test_loss": 0.3416, "test_acc": 0.9242, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:46.324378+00:00"}
|
| 82 |
+
{"epoch": 82, "train_loss": 0.5555, "train_acc": 1.0, "test_loss": 0.3525, "test_acc": 0.9242, "best_acc": 0.9356, "time_sec": 0.23, "timestamp": "2026-09-13T03:26:46.603390+00:00"}
|
| 83 |
+
{"epoch": 83, "train_loss": 0.5527, "train_acc": 0.9981, "test_loss": 0.3479, "test_acc": 0.9205, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:46.870655+00:00"}
|
| 84 |
+
{"epoch": 84, "train_loss": 0.5646, "train_acc": 0.9981, "test_loss": 0.3443, "test_acc": 0.9205, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:47.138756+00:00"}
|
| 85 |
+
{"epoch": 85, "train_loss": 0.5547, "train_acc": 0.9981, "test_loss": 0.3491, "test_acc": 0.9242, "best_acc": 0.9356, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:47.399806+00:00"}
|
| 86 |
+
{"epoch": 86, "train_loss": 0.5573, "train_acc": 1.0, "test_loss": 0.3457, "test_acc": 0.9167, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:47.664097+00:00"}
|
| 87 |
+
{"epoch": 87, "train_loss": 0.5506, "train_acc": 1.0, "test_loss": 0.3357, "test_acc": 0.9242, "best_acc": 0.9356, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:47.921077+00:00"}
|
| 88 |
+
{"epoch": 88, "train_loss": 0.5538, "train_acc": 0.9981, "test_loss": 0.3328, "test_acc": 0.9356, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:48.186857+00:00"}
|
| 89 |
+
{"epoch": 89, "train_loss": 0.5522, "train_acc": 1.0, "test_loss": 0.3265, "test_acc": 0.9356, "best_acc": 0.9356, "time_sec": 0.24, "timestamp": "2026-09-13T03:26:48.479431+00:00"}
|
| 90 |
+
{"epoch": 90, "train_loss": 0.5592, "train_acc": 0.9963, "test_loss": 0.3341, "test_acc": 0.928, "best_acc": 0.9356, "time_sec": 0.23, "timestamp": "2026-09-13T03:26:48.764347+00:00"}
|
| 91 |
+
{"epoch": 91, "train_loss": 0.5578, "train_acc": 0.9981, "test_loss": 0.343, "test_acc": 0.9242, "best_acc": 0.9356, "time_sec": 0.38, "timestamp": "2026-09-13T03:26:49.216258+00:00"}
|
| 92 |
+
{"epoch": 92, "train_loss": 0.5553, "train_acc": 1.0, "test_loss": 0.3427, "test_acc": 0.9242, "best_acc": 0.9356, "time_sec": 0.3, "timestamp": "2026-09-13T03:26:49.589097+00:00"}
|
| 93 |
+
{"epoch": 93, "train_loss": 0.5572, "train_acc": 0.9981, "test_loss": 0.3336, "test_acc": 0.928, "best_acc": 0.9356, "time_sec": 0.27, "timestamp": "2026-09-13T03:26:49.947920+00:00"}
|
| 94 |
+
{"epoch": 94, "train_loss": 0.5626, "train_acc": 0.9926, "test_loss": 0.3249, "test_acc": 0.928, "best_acc": 0.9356, "time_sec": 0.25, "timestamp": "2026-09-13T03:26:50.250969+00:00"}
|
| 95 |
+
{"epoch": 95, "train_loss": 0.5591, "train_acc": 1.0, "test_loss": 0.3254, "test_acc": 0.9318, "best_acc": 0.9356, "time_sec": 0.26, "timestamp": "2026-09-13T03:26:50.576175+00:00"}
|
| 96 |
+
{"epoch": 96, "train_loss": 0.5628, "train_acc": 0.9981, "test_loss": 0.326, "test_acc": 0.928, "best_acc": 0.9356, "time_sec": 0.25, "timestamp": "2026-09-13T03:26:50.873005+00:00"}
|
| 97 |
+
{"epoch": 97, "train_loss": 0.5595, "train_acc": 0.9981, "test_loss": 0.3345, "test_acc": 0.928, "best_acc": 0.9356, "time_sec": 0.25, "timestamp": "2026-09-13T03:26:51.177475+00:00"}
|
| 98 |
+
{"epoch": 98, "train_loss": 0.5584, "train_acc": 0.9981, "test_loss": 0.3347, "test_acc": 0.928, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:51.447431+00:00"}
|
| 99 |
+
{"epoch": 99, "train_loss": 0.5559, "train_acc": 0.9981, "test_loss": 0.3255, "test_acc": 0.9356, "best_acc": 0.9356, "time_sec": 0.21, "timestamp": "2026-09-13T03:26:51.705545+00:00"}
|
| 100 |
+
{"epoch": 100, "train_loss": 0.5566, "train_acc": 1.0, "test_loss": 0.3297, "test_acc": 0.928, "best_acc": 0.9356, "time_sec": 0.22, "timestamp": "2026-09-13T03:26:51.969798+00:00"}
|
ann_frame_2d/ann_frame_2d.summary.json
ADDED
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{
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| 2 |
+
"tag": "ann_frame_2d",
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| 3 |
+
"arch": "frame_2d",
|
| 4 |
+
"script": "train_ann.py",
|
| 5 |
+
"parameters": 1296150,
|
| 6 |
+
"epochs_requested": 100,
|
| 7 |
+
"epochs_completed": 100,
|
| 8 |
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"batch_size": 32,
|
| 9 |
+
"num_bins_T": 16,
|
| 10 |
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"lr": 0.002,
|
| 11 |
+
"duration_s": 28.6,
|
| 12 |
+
"best": {
|
| 13 |
+
"epoch": 61,
|
| 14 |
+
"test_acc": 0.9356
|
| 15 |
+
},
|
| 16 |
+
"final_epoch_metrics": {
|
| 17 |
+
"epoch": 100,
|
| 18 |
+
"train_loss": 0.5566,
|
| 19 |
+
"train_acc": 1.0,
|
| 20 |
+
"test_loss": 0.3297,
|
| 21 |
+
"test_acc": 0.928,
|
| 22 |
+
"best_acc": 0.9356,
|
| 23 |
+
"time_sec": 0.22,
|
| 24 |
+
"timestamp": "2026-09-13T03:26:51.969798+00:00"
|
| 25 |
+
},
|
| 26 |
+
"zip": {
|
| 27 |
+
"name": "ann_frame_2d.zip",
|
| 28 |
+
"files": 12,
|
| 29 |
+
"bytes": 9736751,
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| 30 |
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"MB": 9.74,
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| 31 |
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"sha256": "f0b1259e58c812df42274f5c5a48f920278f547268f1f9501d0ef41f775c4b58"
|
| 32 |
+
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|
| 33 |
+
}
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ann_frame_2d/ann_frame_2d.zip
ADDED
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