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finetuned_models/MCIO_protocol/OCI2M/log_detail.txt
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----------------------------------------------- [START 2024-09-02 23:16:00] ---------------------------------------------------
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** start training target model! **
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--------|------------- VALID -------------|--- classifier ---|------ Current Best ------|--------------|
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iter | loss top-1 HTER AUC | loss top-1 | top-1 HTER AUC | time |
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-------------------------------------------------------------------------------------------------------|
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1.0 | 0.461 93.462 6.583 98.125 | 0.174 91.865 | 93.462 6.583 98.125 | 0 hr 03 min 0
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2.0 | 0.343 91.154 8.667 97.575 | 0.106 95.318 | 93.462 6.583 98.125 | 0 hr 06 min 0
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3.0 | 0.799 93.462 6.583 97.817 | 0.079 96.635 | 93.462 6.583 97.817 | 0 hr 10 min 0
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4.0 | 0.184 93.462 6.583 98.317 | 0.064 97.331 | 93.462 6.583 98.317 | 0 hr 13 min 0
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5.0 | 0.259 90.000 10.000 96.150 | 0.055 97.737 | 93.462 6.583 98.317 | 0 hr 15 min 0
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6.0 | 0.412 91.538 8.417 95.500 | 0.049 98.023 | 93.462 6.583 98.317 | 0 hr 18 min 0
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7.0 | 0.238 92.308 7.917 98.017 | 0.043 98.242 | 93.462 6.583 98.317 | 0 hr 21 min 0
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8.0 | 0.354 93.462 6.583 98.650 | 0.040 98.398 | 93.462 6.583 98.650 | 0 hr 24 min 0
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9.0 | 0.326 93.462 6.583 98.517 | 0.037 98.531 | 93.462 6.583 98.517 | 0 hr 27 min 0
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10.0 | 0.442 95.000 5.000 98.617 | 0.034 98.644 | 95.000 5.000 98.617 | 0 hr 30 min 0
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11.0 | 0.702 91.154 8.667 98.017 | 0.033 98.710 | 95.000 5.000 98.617 | 0 hr 33 min 0
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12.0 | 0.263 96.154 3.667 98.867 | 0.031 98.781 | 96.154 3.667 98.867 | 0 hr 36 min 0
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13.0 | 0.295 91.923 8.167 97.367 | 0.030 98.845 | 96.154 3.667 98.867 | 0 hr 39 min 0
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14.0 | 0.429 90.000 10.000 96.092 | 0.028 98.900 | 96.154 3.667 98.867 | 0 hr 42 min 0
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15.0 | 0.167 93.462 6.583 96.892 | 0.027 98.945 | 96.154 3.667 98.867 | 0 hr 45 min 0
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16.0 | 0.266 91.538 8.417 97.042 | 0.026 98.986 | 96.154 3.667 98.867 | 0 hr 48 min 0
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17.0 | 1.061 88.462 11.583 96.458 | 0.025 99.025 | 96.154 3.667 98.867 | 0 hr 50 min 0
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18.0 | 0.147 93.462 6.583 97.758 | 0.024 99.068 | 96.154 3.667 98.867 | 0 hr 53 min 0
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19.0 | 0.354 95.000 5.000 98.567 | 0.023 99.103 | 96.154 3.667 98.867 | 0 hr 56 min 0
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20.0 | 0.168 91.538 8.417 97.383 | 0.023 99.111 | 96.154 3.667 98.867 | 0 hr 59 min 0
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21.0 | 0.247 91.923 8.167 96.625 | 0.023 99.142 | 96.154 3.667 98.867 | 1 hr 02 min 0
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22.0 | 0.310 91.154 8.667 96.200 | 0.022 99.171 | 96.154 3.667 98.867 | 1 hr 05 min 0
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23.0 | 0.241 93.462 6.583 97.217 | 0.021 99.199 | 96.154 3.667 98.867 | 1 hr 08 min 0
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24.0 | 0.239 91.923 8.167 96.467 | 0.021 99.221 | 96.154 3.667 98.867 | 1 hr 11 min 0
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25.0 | 0.462 90.000 10.000 95.200 | 0.020 99.238 | 96.154 3.667 98.867 | 1 hr 14 min 0
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26.0 | 0.254 93.462 6.583 96.700 | 0.020 99.259 | 96.154 3.667 98.867 | 1 hr 17 min 0
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27.0 | 0.317 93.462 6.583 96.692 | 0.019 99.273 | 96.154 3.667 98.867 | 1 hr 21 min 0
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28.0 | 0.184 92.308 7.917 97.658 | 0.019 99.291 | 96.154 3.667 98.867 | 1 hr 23 min 0
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29.0 | 0.205 91.538 8.417 97.717 | 0.018 99.309 | 96.154 3.667 98.867 | 1 hr 27 min 0
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30.0 | 0.378 93.462 6.583 97.725 | 0.018 99.326 | 96.154 3.667 98.867 | 1 hr 30 min 0
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31.0 | 0.530 93.462 6.583 97.317 | 0.018 99.341 | 96.154 3.667 98.867 | 1 hr 33 min 0
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32.0 | 0.377 90.000 10.000 96.250 | 0.017 99.352 | 96.154 3.667 98.867 | 1 hr 36 min 0
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33.0 | 0.278 91.538 8.417 96.842 | 0.017 99.364 | 96.154 3.667 98.867 | 1 hr 39 min 0
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34.0 | 0.266 93.462 6.583 98.492 | 0.017 99.373 | 96.154 3.667 98.867 | 1 hr 41 min 0
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35.0 | 0.158 93.846 6.333 98.858 | 0.017 99.387 | 96.154 3.667 98.867 | 1 hr 43 min 0
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36.0 | 0.218 89.615 10.250 97.100 | 0.016 99.396 | 96.154 3.667 98.867 | 1 hr 45 min 0
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37.0 | 0.263 91.538 8.417 97.783 | 0.016 99.408 | 96.154 3.667 98.867 | 1 hr 48 min 0
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38.0 | 0.412 90.000 10.000 97.075 | 0.016 99.419 | 96.154 3.667 98.867 | 1 hr 50 min 0
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39.0 | 0.245 91.538 8.417 97.042 | 0.015 99.431 | 96.154 3.667 98.867 | 1 hr 52 min 0
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40.0 | 0.187 91.923 8.167 98.133 | 0.015 99.438 | 96.154 3.667 98.867 | 1 hr 54 min 0
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----------------------------------------------- [START 2024-09-03 01:10:42] ---------------------------------------------------
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** start training target model! **
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--------|------------- VALID -------------|--- classifier ---|------ Current Best ------|--------------|
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iter | loss top-1 HTER AUC | loss top-1 | top-1 HTER AUC | time |
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-------------------------------------------------------------------------------------------------------|
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1.0 | 0.314 91.538 8.417 96.500 | 0.175 91.875 | 91.538 8.417 96.500 | 0 hr 02 min 0
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2.0 | 1.057 92.692 7.083 96.200 | 0.108 95.302 | 92.692 7.083 96.200 | 0 hr 04 min 0
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3.0 | 0.108 96.538 3.417 99.417 | 0.081 96.573 | 96.538 3.417 99.417 | 0 hr 06 min 0
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4.0 | 0.247 93.462 6.583 98.867 | 0.066 97.266 | 96.538 3.417 99.417 | 0 hr 08 min 0
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5.0 | 0.207 91.154 8.667 97.742 | 0.056 97.721 | 96.538 3.417 99.417 | 0 hr 11 min 0
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6.0 | 0.156 95.000 5.000 98.433 | 0.049 98.019 | 96.538 3.417 99.417 | 0 hr 13 min 0
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7.0 | 0.187 93.462 6.583 98.633 | 0.044 98.245 | 96.538 3.417 99.417 | 0 hr 15 min 0
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8.0 | 0.570 95.000 5.000 99.033 | 0.040 98.419 | 96.538 3.417 99.417 | 0 hr 17 min 0
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9.0 | 0.276 93.462 6.583 98.517 | 0.037 98.544 | 96.538 3.417 99.417 | 0 hr 19 min 0
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10.0 | 0.830 95.000 5.000 99.408 | 0.034 98.646 | 96.538 3.417 99.417 | 0 hr 22 min 0
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11.0 | 0.164 95.000 5.000 99.392 | 0.033 98.721 | 96.538 3.417 99.417 | 0 hr 24 min 0
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12.0 | 1.048 92.308 7.917 98.425 | 0.031 98.796 | 96.538 3.417 99.417 | 0 hr 26 min 0
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67 |
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13.0 | 0.179 93.462 6.583 97.792 | 0.029 98.854 | 96.538 3.417 99.417 | 0 hr 28 min 0
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14.0 | 0.571 93.462 6.583 97.308 | 0.029 98.898 | 96.538 3.417 99.417 | 0 hr 31 min 0
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69 |
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15.0 | 0.137 93.462 6.583 98.600 | 0.028 98.936 | 96.538 3.417 99.417 | 0 hr 33 min 0
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16.0 | 0.126 95.000 5.000 98.717 | 0.027 98.984 | 96.538 3.417 99.417 | 0 hr 35 min 0
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71 |
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17.0 | 0.196 91.538 8.417 98.542 | 0.026 99.028 | 96.538 3.417 99.417 | 0 hr 37 min 0
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72 |
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18.0 | 0.237 91.923 8.167 96.925 | 0.025 99.063 | 96.538 3.417 99.417 | 0 hr 39 min 0
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73 |
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19.0 | 0.164 94.615 5.250 98.758 | 0.024 99.102 | 96.538 3.417 99.417 | 0 hr 42 min 0
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74 |
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20.0 | 0.272 90.000 10.000 95.592 | 0.023 99.132 | 96.538 3.417 99.417 | 0 hr 44 min 0
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75 |
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21.0 | 0.316 88.077 11.833 94.367 | 0.022 99.160 | 96.538 3.417 99.417 | 0 hr 46 min 0
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76 |
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22.0 | 0.203 93.462 6.583 97.933 | 0.022 99.189 | 96.538 3.417 99.417 | 0 hr 48 min 0
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77 |
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23.0 | 0.668 93.462 6.583 97.508 | 0.021 99.214 | 96.538 3.417 99.417 | 0 hr 51 min 0
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78 |
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24.0 | 0.239 86.538 13.417 96.042 | 0.021 99.213 | 96.538 3.417 99.417 | 0 hr 53 min 0
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79 |
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25.0 | 0.304 91.923 8.167 97.600 | 0.021 99.229 | 96.538 3.417 99.417 | 0 hr 55 min 0
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26.0 | 0.305 95.000 5.000 98.408 | 0.020 99.248 | 96.538 3.417 99.417 | 0 hr 57 min 0
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81 |
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27.0 | 0.209 96.538 3.417 99.050 | 0.020 99.267 | 96.538 3.417 99.050 | 0 hr 59 min 0
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82 |
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28.0 | 0.207 96.538 3.417 99.183 | 0.019 99.278 | 96.538 3.417 99.183 | 1 hr 02 min 0
|
83 |
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29.0 | 0.342 93.462 6.583 98.233 | 0.019 99.288 | 96.538 3.417 99.183 | 1 hr 04 min 0
|
84 |
+
30.0 | 0.219 95.000 5.000 98.425 | 0.019 99.303 | 96.538 3.417 99.183 | 1 hr 06 min 0
|
85 |
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31.0 | 0.246 91.538 8.417 97.758 | 0.018 99.320 | 96.538 3.417 99.183 | 1 hr 08 min 0
|
86 |
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32.0 | 0.303 95.000 5.000 99.267 | 0.018 99.330 | 96.538 3.417 99.183 | 1 hr 11 min 0
|
87 |
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33.0 | 0.239 95.000 5.000 98.908 | 0.018 99.344 | 96.538 3.417 99.183 | 1 hr 13 min 0
|
88 |
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34.0 | 0.353 88.462 11.583 96.050 | 0.017 99.360 | 96.538 3.417 99.183 | 1 hr 15 min 0
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89 |
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35.0 | 0.398 88.462 11.583 95.275 | 0.017 99.375 | 96.538 3.417 99.183 | 1 hr 17 min 0
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36.0 | 0.383 92.308 7.917 98.817 | 0.017 99.386 | 96.538 3.417 99.183 | 1 hr 19 min 0
|
91 |
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37.0 | 0.948 86.538 13.417 94.442 | 0.016 99.399 | 96.538 3.417 99.183 | 1 hr 22 min 0
|
92 |
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38.0 | 0.335 90.000 10.000 97.100 | 0.016 99.409 | 96.538 3.417 99.183 | 1 hr 24 min 0
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93 |
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39.0 | 0.248 96.538 3.417 98.850 | 0.016 99.419 | 96.538 3.417 98.850 | 1 hr 26 min 0
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40.0 | 0.250 93.462 6.583 97.775 | 0.016 99.427 | 96.538 3.417 98.850 | 1 hr 28 min 0
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----------------------------------------------- [START 2024-09-03 02:39:23] ---------------------------------------------------
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|
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** start training target model! **
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--------|------------- VALID -------------|--- classifier ---|------ Current Best ------|--------------|
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iter | loss top-1 HTER AUC | loss top-1 | top-1 HTER AUC | time |
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-------------------------------------------------------------------------------------------------------|
|
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1.0 | 0.164 93.462 6.583 98.392 | 0.172 92.167 | 93.462 6.583 98.392 | 0 hr 02 min 0
|
103 |
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2.0 | 0.199 93.462 6.583 98.408 | 0.103 95.542 | 93.462 6.583 98.408 | 0 hr 04 min 0
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3.0 | 0.236 95.000 5.000 98.242 | 0.078 96.788 | 95.000 5.000 98.242 | 0 hr 06 min 0
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105 |
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4.0 | 0.236 93.462 6.583 98.442 | 0.064 97.404 | 95.000 5.000 98.242 | 0 hr 08 min 0
|
106 |
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5.0 | 0.189 95.000 5.000 99.192 | 0.055 97.810 | 95.000 5.000 99.192 | 0 hr 11 min 0
|
107 |
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6.0 | 0.194 95.000 5.000 98.858 | 0.048 98.087 | 95.000 5.000 98.858 | 0 hr 13 min 0
|
108 |
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7.0 | 0.242 92.308 7.917 98.283 | 0.044 98.278 | 95.000 5.000 98.858 | 0 hr 15 min 0
|
109 |
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8.0 | 0.172 94.615 5.250 98.675 | 0.040 98.427 | 95.000 5.000 98.858 | 0 hr 17 min 0
|
110 |
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9.0 | 0.572 91.538 8.417 98.042 | 0.037 98.554 | 95.000 5.000 98.858 | 0 hr 20 min 0
|
111 |
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10.0 | 0.221 93.462 6.583 97.817 | 0.035 98.642 | 95.000 5.000 98.858 | 0 hr 22 min 0
|
112 |
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11.0 | 0.171 94.615 5.250 98.125 | 0.032 98.744 | 95.000 5.000 98.858 | 0 hr 24 min 0
|
113 |
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12.0 | 0.313 93.846 6.333 98.467 | 0.031 98.810 | 95.000 5.000 98.858 | 0 hr 26 min 0
|
114 |
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13.0 | 0.756 91.538 8.417 97.375 | 0.029 98.875 | 95.000 5.000 98.858 | 0 hr 29 min 0
|
115 |
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14.0 | 0.275 90.000 10.000 97.400 | 0.028 98.926 | 95.000 5.000 98.858 | 0 hr 31 min 0
|
116 |
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15.0 | 0.484 94.615 5.250 98.342 | 0.027 98.968 | 95.000 5.000 98.858 | 0 hr 33 min 0
|
117 |
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16.0 | 0.390 93.846 6.333 98.608 | 0.026 99.016 | 95.000 5.000 98.858 | 0 hr 35 min 0
|
118 |
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17.0 | 0.320 95.000 5.000 99.025 | 0.025 99.061 | 95.000 5.000 99.025 | 0 hr 37 min 0
|
119 |
+
18.0 | 0.295 90.000 10.000 96.333 | 0.024 99.089 | 95.000 5.000 99.025 | 0 hr 40 min 0
|
120 |
+
19.0 | 0.860 95.000 5.000 98.983 | 0.024 99.113 | 95.000 5.000 98.983 | 0 hr 42 min 0
|
121 |
+
20.0 | 0.456 91.538 8.417 98.017 | 0.023 99.142 | 95.000 5.000 98.983 | 0 hr 44 min 0
|
122 |
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21.0 | 0.572 94.615 5.250 99.208 | 0.022 99.166 | 95.000 5.000 98.983 | 0 hr 46 min 0
|
123 |
+
22.0 | 0.263 93.077 6.833 98.625 | 0.022 99.182 | 95.000 5.000 98.983 | 0 hr 49 min 0
|
124 |
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23.0 | 0.222 96.154 3.667 99.008 | 0.021 99.207 | 96.154 3.667 99.008 | 0 hr 51 min 0
|
125 |
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24.0 | 0.197 96.538 3.417 98.733 | 0.020 99.231 | 96.538 3.417 98.733 | 0 hr 53 min 0
|
126 |
+
25.0 | 0.144 95.385 4.750 98.833 | 0.020 99.255 | 96.538 3.417 98.733 | 0 hr 55 min 0
|
127 |
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26.0 | 0.705 96.538 3.417 99.050 | 0.019 99.275 | 96.538 3.417 99.050 | 0 hr 58 min 0
|
128 |
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27.0 | 0.112 95.000 5.000 99.275 | 0.019 99.291 | 96.538 3.417 99.050 | 1 hr 00 min 0
|
129 |
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28.0 | 0.125 96.538 3.417 99.117 | 0.019 99.304 | 96.538 3.417 99.117 | 1 hr 02 min 0
|
130 |
+
29.0 | 0.613 96.538 3.417 99.567 | 0.018 99.318 | 96.538 3.417 99.567 | 1 hr 04 min 0
|
131 |
+
30.0 | 0.340 95.385 4.750 98.917 | 0.018 99.334 | 96.538 3.417 99.567 | 1 hr 07 min 0
|
132 |
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31.0 | 0.136 96.154 3.667 98.858 | 0.018 99.348 | 96.538 3.417 99.567 | 1 hr 09 min 0
|
133 |
+
32.0 | 0.192 94.615 5.250 97.025 | 0.018 99.355 | 96.538 3.417 99.567 | 1 hr 11 min 0
|
134 |
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33.0 | 0.310 93.462 6.583 97.158 | 0.017 99.361 | 96.538 3.417 99.567 | 1 hr 13 min 0
|
135 |
+
34.0 | 0.226 92.692 7.083 98.083 | 0.017 99.374 | 96.538 3.417 99.567 | 1 hr 16 min 0
|
136 |
+
35.0 | 0.325 91.538 8.417 97.650 | 0.017 99.385 | 96.538 3.417 99.567 | 1 hr 18 min 0
|
137 |
+
36.0 | 0.411 91.538 8.417 97.550 | 0.016 99.396 | 96.538 3.417 99.567 | 1 hr 20 min 0
|
138 |
+
37.0 | 0.372 92.308 7.917 98.433 | 0.016 99.408 | 96.538 3.417 99.567 | 1 hr 22 min 0
|
139 |
+
38.0 | 0.385 91.538 8.417 97.558 | 0.016 99.417 | 96.538 3.417 99.567 | 1 hr 24 min 0
|
140 |
+
39.0 | 0.685 91.538 8.417 97.492 | 0.016 99.430 | 96.538 3.417 99.567 | 1 hr 27 min 0
|
141 |
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40.0 | 0.666 91.154 8.667 96.775 | 0.015 99.441 | 96.538 3.417 99.567 | 1 hr 29 min 0
|
142 |
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----------------------------------------------- [START 2024-09-03 04:08:57] ---------------------------------------------------
|
144 |
+
|
145 |
+
** start training target model! **
|
146 |
+
--------|------------- VALID -------------|--- classifier ---|------ Current Best ------|--------------|
|
147 |
+
iter | loss top-1 HTER AUC | loss top-1 | top-1 HTER AUC | time |
|
148 |
+
-------------------------------------------------------------------------------------------------------|
|
149 |
+
1.0 | 0.737 92.308 7.917 97.650 | 0.183 91.625 | 92.308 7.917 97.650 | 0 hr 02 min 0
|
150 |
+
2.0 | 0.346 93.462 6.583 97.867 | 0.109 95.240 | 93.462 6.583 97.867 | 0 hr 04 min 0
|
151 |
+
3.0 | 0.342 90.385 9.750 97.117 | 0.080 96.580 | 93.462 6.583 97.867 | 0 hr 06 min 0
|
152 |
+
4.0 | 0.399 91.538 8.417 96.358 | 0.066 97.247 | 93.462 6.583 97.867 | 0 hr 09 min 0
|
153 |
+
5.0 | 0.597 90.385 9.750 97.358 | 0.057 97.629 | 93.462 6.583 97.867 | 0 hr 11 min 0
|
154 |
+
6.0 | 0.502 95.000 5.000 98.575 | 0.050 97.929 | 95.000 5.000 98.575 | 0 hr 13 min 0
|
155 |
+
7.0 | 0.301 92.308 7.917 96.917 | 0.046 98.132 | 95.000 5.000 98.575 | 0 hr 15 min 0
|
156 |
+
8.0 | 0.336 93.462 6.583 98.558 | 0.042 98.293 | 95.000 5.000 98.575 | 0 hr 17 min 0
|
157 |
+
9.0 | 0.291 93.462 6.583 98.342 | 0.039 98.443 | 95.000 5.000 98.575 | 0 hr 20 min 0
|
158 |
+
10.0 | 0.237 90.385 9.750 96.517 | 0.036 98.557 | 95.000 5.000 98.575 | 0 hr 22 min 0
|
159 |
+
11.0 | 0.262 95.000 5.000 98.708 | 0.034 98.661 | 95.000 5.000 98.708 | 0 hr 24 min 0
|
160 |
+
12.0 | 0.152 96.154 3.667 99.292 | 0.031 98.751 | 96.154 3.667 99.292 | 0 hr 26 min 0
|
161 |
+
13.0 | 0.198 90.000 10.000 97.492 | 0.030 98.814 | 96.154 3.667 99.292 | 0 hr 29 min 0
|
162 |
+
14.0 | 0.524 90.000 10.000 96.500 | 0.029 98.874 | 96.154 3.667 99.292 | 0 hr 31 min 0
|
163 |
+
15.0 | 0.507 88.462 11.583 96.542 | 0.028 98.917 | 96.154 3.667 99.292 | 0 hr 33 min 0
|
164 |
+
16.0 | 0.166 93.846 6.333 98.392 | 0.026 98.963 | 96.154 3.667 99.292 | 0 hr 35 min 0
|
165 |
+
17.0 | 0.341 93.077 6.833 98.650 | 0.025 99.007 | 96.154 3.667 99.292 | 0 hr 37 min 0
|
166 |
+
18.0 | 0.664 91.538 8.417 96.433 | 0.024 99.042 | 96.154 3.667 99.292 | 0 hr 40 min 0
|
167 |
+
19.0 | 0.129 95.385 4.750 99.117 | 0.024 99.074 | 96.154 3.667 99.292 | 0 hr 42 min 0
|
168 |
+
20.0 | 1.283 93.462 6.583 98.213 | 0.023 99.097 | 96.154 3.667 99.292 | 0 hr 44 min 0
|
169 |
+
21.0 | 0.354 91.538 8.417 97.558 | 0.023 99.123 | 96.154 3.667 99.292 | 0 hr 46 min 0
|
170 |
+
22.0 | 0.793 91.538 8.417 97.025 | 0.022 99.149 | 96.154 3.667 99.292 | 0 hr 48 min 0
|
171 |
+
23.0 | 0.555 90.000 10.000 97.192 | 0.021 99.174 | 96.154 3.667 99.292 | 0 hr 51 min 0
|
172 |
+
24.0 | 0.402 88.846 11.333 95.442 | 0.021 99.199 | 96.154 3.667 99.292 | 0 hr 53 min 0
|
173 |
+
25.0 | 0.221 91.923 8.167 98.167 | 0.020 99.218 | 96.154 3.667 99.292 | 0 hr 55 min 0
|
174 |
+
26.0 | 0.299 85.000 15.000 94.533 | 0.020 99.234 | 96.154 3.667 99.292 | 0 hr 57 min 0
|
175 |
+
27.0 | 0.243 93.846 6.333 98.892 | 0.019 99.253 | 96.154 3.667 99.292 | 0 hr 59 min 0
|
176 |
+
28.0 | 0.439 93.077 6.833 97.567 | 0.019 99.271 | 96.154 3.667 99.292 | 1 hr 02 min 0
|
177 |
+
29.0 | 0.855 93.462 6.583 98.250 | 0.019 99.290 | 96.154 3.667 99.292 | 1 hr 04 min 0
|
178 |
+
30.0 | 0.180 93.462 6.583 98.525 | 0.018 99.309 | 96.154 3.667 99.292 | 1 hr 06 min 0
|
179 |
+
31.0 | 0.389 91.923 8.167 97.425 | 0.018 99.321 | 96.154 3.667 99.292 | 1 hr 08 min 0
|
180 |
+
32.0 | 0.555 91.538 8.417 97.242 | 0.018 99.334 | 96.154 3.667 99.292 | 1 hr 10 min 0
|
181 |
+
33.0 | 0.522 88.462 11.583 96.825 | 0.017 99.345 | 96.154 3.667 99.292 | 1 hr 13 min 0
|
182 |
+
34.0 | 0.906 93.462 6.583 98.417 | 0.017 99.359 | 96.154 3.667 99.292 | 1 hr 15 min 0
|
183 |
+
35.0 | 0.297 91.538 8.417 98.567 | 0.017 99.374 | 96.154 3.667 99.292 | 1 hr 17 min 0
|
184 |
+
36.0 | 0.517 90.385 9.750 96.467 | 0.017 99.376 | 96.154 3.667 99.292 | 1 hr 19 min 0
|
185 |
+
37.0 | 0.378 91.538 8.417 96.850 | 0.016 99.385 | 96.154 3.667 99.292 | 1 hr 21 min 0
|
186 |
+
38.0 | 0.397 91.538 8.417 96.208 | 0.016 99.397 | 96.154 3.667 99.292 | 1 hr 23 min 0
|
187 |
+
39.0 | 0.543 91.538 8.417 96.192 | 0.016 99.409 | 96.154 3.667 99.292 | 1 hr 26 min 0
|
188 |
+
40.0 | 0.593 91.538 8.417 96.992 | 0.016 99.419 | 96.154 3.667 99.292 | 1 hr 28 min 0
|
189 |
+
|
190 |
+
----------------------------------------------- [START 2024-09-03 05:37:20] ---------------------------------------------------
|
191 |
+
|
192 |
+
** start training target model! **
|
193 |
+
--------|------------- VALID -------------|--- classifier ---|------ Current Best ------|--------------|
|
194 |
+
iter | loss top-1 HTER AUC | loss top-1 | top-1 HTER AUC | time |
|
195 |
+
-------------------------------------------------------------------------------------------------------|
|
196 |
+
1.0 | 0.317 93.077 6.833 97.617 | 0.179 91.833 | 93.077 6.833 97.617 | 0 hr 02 min 0
|
197 |
+
2.0 | 0.323 90.000 10.000 97.217 | 0.108 95.302 | 93.077 6.833 97.617 | 0 hr 04 min 0
|
198 |
+
3.0 | 0.246 91.538 8.417 97.992 | 0.080 96.594 | 93.077 6.833 97.617 | 0 hr 06 min 0
|
199 |
+
4.0 | 0.214 95.385 4.750 99.217 | 0.066 97.250 | 95.385 4.750 99.217 | 0 hr 08 min 0
|
200 |
+
5.0 | 0.310 93.462 6.583 98.875 | 0.055 97.725 | 95.385 4.750 99.217 | 0 hr 11 min 0
|
201 |
+
6.0 | 0.270 91.154 8.667 97.917 | 0.048 98.026 | 95.385 4.750 99.217 | 0 hr 13 min 0
|
202 |
+
7.0 | 0.732 91.538 8.417 97.846 | 0.044 98.208 | 95.385 4.750 99.217 | 0 hr 15 min 0
|
203 |
+
8.0 | 0.304 91.538 8.417 97.967 | 0.041 98.355 | 95.385 4.750 99.217 | 0 hr 17 min 0
|
204 |
+
9.0 | 0.365 91.538 8.417 97.983 | 0.037 98.506 | 95.385 4.750 99.217 | 0 hr 19 min 0
|
205 |
+
10.0 | 0.544 93.462 6.583 98.133 | 0.035 98.614 | 95.385 4.750 99.217 | 0 hr 22 min 0
|
206 |
+
11.0 | 0.258 93.077 6.833 97.492 | 0.033 98.711 | 95.385 4.750 99.217 | 0 hr 24 min 0
|
207 |
+
12.0 | 0.213 93.462 6.583 97.675 | 0.032 98.758 | 95.385 4.750 99.217 | 0 hr 26 min 0
|
208 |
+
13.0 | 0.214 91.538 8.417 98.100 | 0.030 98.822 | 95.385 4.750 99.217 | 0 hr 28 min 0
|
209 |
+
14.0 | 0.315 91.154 8.667 97.150 | 0.029 98.889 | 95.385 4.750 99.217 | 0 hr 30 min 0
|
210 |
+
15.0 | 0.558 93.462 6.583 98.025 | 0.028 98.917 | 95.385 4.750 99.217 | 0 hr 32 min 0
|
211 |
+
16.0 | 0.419 93.462 6.583 96.467 | 0.027 98.964 | 95.385 4.750 99.217 | 0 hr 35 min 0
|
212 |
+
17.0 | 0.313 95.000 5.000 99.033 | 0.026 99.001 | 95.385 4.750 99.217 | 0 hr 37 min 0
|
213 |
+
18.0 | 0.272 91.923 8.167 97.067 | 0.025 99.041 | 95.385 4.750 99.217 | 0 hr 39 min 0
|
214 |
+
19.0 | 0.175 95.000 5.000 99.092 | 0.024 99.076 | 95.385 4.750 99.217 | 0 hr 41 min 0
|
215 |
+
20.0 | 0.684 91.538 8.417 98.308 | 0.023 99.112 | 95.385 4.750 99.217 | 0 hr 43 min 0
|
216 |
+
21.0 | 0.219 91.538 8.417 97.050 | 0.023 99.135 | 95.385 4.750 99.217 | 0 hr 46 min 0
|
217 |
+
22.0 | 0.261 93.462 6.583 97.350 | 0.022 99.154 | 95.385 4.750 99.217 | 0 hr 48 min 0
|
218 |
+
23.0 | 0.354 91.538 8.417 96.075 | 0.022 99.179 | 95.385 4.750 99.217 | 0 hr 50 min 0
|
219 |
+
24.0 | 0.201 92.308 7.917 97.133 | 0.021 99.203 | 95.385 4.750 99.217 | 0 hr 52 min 0
|
220 |
+
25.0 | 0.396 91.538 8.417 96.967 | 0.021 99.222 | 95.385 4.750 99.217 | 0 hr 54 min 0
|
221 |
+
26.0 | 0.371 91.538 8.417 97.467 | 0.020 99.245 | 95.385 4.750 99.217 | 0 hr 57 min 0
|
222 |
+
27.0 | 0.256 91.154 8.667 97.000 | 0.020 99.262 | 95.385 4.750 99.217 | 0 hr 59 min 0
|
223 |
+
28.0 | 0.190 93.462 6.583 98.250 | 0.019 99.280 | 95.385 4.750 99.217 | 1 hr 01 min 0
|
224 |
+
29.0 | 0.279 91.154 8.667 97.492 | 0.019 99.298 | 95.385 4.750 99.217 | 1 hr 03 min 0
|
225 |
+
30.0 | 0.737 90.385 9.750 96.525 | 0.018 99.319 | 95.385 4.750 99.217 | 1 hr 05 min 0
|
226 |
+
31.0 | 0.319 90.000 10.000 96.108 | 0.018 99.329 | 95.385 4.750 99.217 | 1 hr 08 min 0
|
227 |
+
32.0 | 1.725 92.692 7.083 96.983 | 0.018 99.338 | 95.385 4.750 99.217 | 1 hr 10 min 0
|
228 |
+
33.0 | 0.328 88.077 11.833 93.417 | 0.018 99.350 | 95.385 4.750 99.217 | 1 hr 12 min 0
|
229 |
+
34.0 | 0.347 93.462 6.583 98.908 | 0.017 99.361 | 95.385 4.750 99.217 | 1 hr 14 min 0
|
230 |
+
35.0 | 0.871 91.538 8.417 96.996 | 0.017 99.375 | 95.385 4.750 99.217 | 1 hr 17 min 0
|
231 |
+
36.0 | 0.798 94.615 5.250 98.492 | 0.017 99.381 | 95.385 4.750 99.217 | 1 hr 19 min 0
|
232 |
+
37.0 | 0.173 95.385 4.750 99.167 | 0.017 99.392 | 95.385 4.750 99.167 | 1 hr 21 min 0
|
233 |
+
38.0 | 0.227 93.846 6.333 98.358 | 0.016 99.403 | 95.385 4.750 99.167 | 1 hr 23 min 0
|
234 |
+
39.0 | 0.219 93.462 6.583 98.258 | 0.016 99.414 | 95.385 4.750 99.167 | 1 hr 26 min 0
|
235 |
+
40.0 | 0.281 91.538 8.417 97.792 | 0.016 99.423 | 95.385 4.750 99.167 | 1 hr 28 min 0
|
finetuned_models/MCIO_protocol/OCI2M/msu_vit_0_shot_checkpoint_run_2.pth.tar
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7a2a10e7da7fe939e4de8d978c14e9e8a5a8a1e5784e32cf7a1c9b7346f72f6a
|
3 |
+
size 344838775
|
finetuned_models/MCIO_protocol/OCI2M/performance.csv
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Run, HTER, AUC, TPR@FPR=1%
|
2 |
+
0,3.6666666666666665,98.86666666666666,91.66666666666666
|
3 |
+
1,3.4166666666666665,98.85,83.33333333333334
|
4 |
+
2,3.4166666666666665,99.56666666666666,93.33333333333333
|
5 |
+
3,3.6666666666666665,99.29166666666667,86.66666666666667
|
6 |
+
4,4.75,99.16666666666666,88.33333333333333
|
7 |
+
Mean,3.7833333333333328,99.14833333333334,88.66666666666666
|
8 |
+
Std dev,0.49609586887124063,0.2698970997332973,3.559026084010431
|