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End of training

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README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1943
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  ## Model description
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@@ -47,126 +47,126 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 13 | 0.9906 |
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- | No log | 2.0 | 26 | 0.8173 |
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- | 1.1275 | 3.0 | 39 | 0.7421 |
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- | 1.1275 | 4.0 | 52 | 0.6724 |
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- | 0.7856 | 5.0 | 65 | 0.6512 |
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- | 0.7856 | 6.0 | 78 | 0.6049 |
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- | 0.7138 | 7.0 | 91 | 0.5991 |
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- | 0.7138 | 8.0 | 104 | 0.4816 |
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- | 0.7138 | 9.0 | 117 | 0.4908 |
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- | 0.5948 | 10.0 | 130 | 0.5110 |
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- | 0.5948 | 11.0 | 143 | 0.6477 |
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- | 0.6058 | 12.0 | 156 | 0.5520 |
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- | 0.6058 | 13.0 | 169 | 0.5291 |
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- | 0.5792 | 14.0 | 182 | 0.4270 |
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- | 0.5792 | 15.0 | 195 | 0.4583 |
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- | 0.5792 | 16.0 | 208 | 0.3994 |
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- | 0.5239 | 17.0 | 221 | 0.4074 |
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- | 0.5239 | 18.0 | 234 | 0.3419 |
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- | 0.4717 | 19.0 | 247 | 0.3592 |
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- | 0.4717 | 20.0 | 260 | 0.2978 |
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- | 0.4381 | 21.0 | 273 | 0.3756 |
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- | 0.4381 | 22.0 | 286 | 0.3461 |
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- | 0.4381 | 23.0 | 299 | 0.3594 |
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- | 0.4445 | 24.0 | 312 | 0.3783 |
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- | 0.4445 | 25.0 | 325 | 0.3260 |
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- | 0.4077 | 26.0 | 338 | 0.2947 |
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- | 0.4077 | 27.0 | 351 | 0.3058 |
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- | 0.3928 | 28.0 | 364 | 0.3364 |
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- | 0.3928 | 29.0 | 377 | 0.2904 |
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- | 0.3749 | 30.0 | 390 | 0.3442 |
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- | 0.3749 | 31.0 | 403 | 0.3432 |
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- | 0.3749 | 32.0 | 416 | 0.2989 |
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- | 0.41 | 33.0 | 429 | 0.2860 |
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- | 0.41 | 34.0 | 442 | 0.2915 |
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- | 0.3624 | 35.0 | 455 | 0.2928 |
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- | 0.3624 | 36.0 | 468 | 0.2364 |
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- | 0.3405 | 37.0 | 481 | 0.2878 |
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- | 0.3405 | 38.0 | 494 | 0.2816 |
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- | 0.3405 | 39.0 | 507 | 0.3071 |
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- | 0.3444 | 40.0 | 520 | 0.2928 |
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- | 0.3444 | 41.0 | 533 | 0.2528 |
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- | 0.3323 | 42.0 | 546 | 0.3098 |
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- | 0.3323 | 43.0 | 559 | 0.2817 |
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- | 0.3094 | 44.0 | 572 | 0.2796 |
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- | 0.3094 | 45.0 | 585 | 0.2652 |
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- | 0.3094 | 46.0 | 598 | 0.3038 |
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- | 0.3265 | 47.0 | 611 | 0.2523 |
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- | 0.3265 | 48.0 | 624 | 0.2773 |
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- | 0.3109 | 49.0 | 637 | 0.2644 |
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- | 0.3109 | 50.0 | 650 | 0.2626 |
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- | 0.3116 | 51.0 | 663 | 0.2510 |
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- | 0.3116 | 52.0 | 676 | 0.2814 |
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- | 0.3116 | 53.0 | 689 | 0.2355 |
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- | 0.2924 | 54.0 | 702 | 0.2618 |
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- | 0.2924 | 55.0 | 715 | 0.2638 |
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- | 0.3006 | 56.0 | 728 | 0.3032 |
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- | 0.3006 | 57.0 | 741 | 0.2936 |
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- | 0.3044 | 58.0 | 754 | 0.2722 |
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- | 0.3044 | 59.0 | 767 | 0.2377 |
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- | 0.279 | 60.0 | 780 | 0.2741 |
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- | 0.279 | 61.0 | 793 | 0.2514 |
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- | 0.279 | 62.0 | 806 | 0.2392 |
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- | 0.292 | 63.0 | 819 | 0.2281 |
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- | 0.292 | 64.0 | 832 | 0.2189 |
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- | 0.2773 | 65.0 | 845 | 0.2053 |
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- | 0.2773 | 66.0 | 858 | 0.2256 |
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- | 0.2778 | 67.0 | 871 | 0.2748 |
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- | 0.2778 | 68.0 | 884 | 0.2286 |
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- | 0.2778 | 69.0 | 897 | 0.2033 |
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- | 0.2641 | 70.0 | 910 | 0.2242 |
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- | 0.2641 | 71.0 | 923 | 0.2285 |
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- | 0.2667 | 72.0 | 936 | 0.2103 |
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- | 0.2667 | 73.0 | 949 | 0.2307 |
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- | 0.2542 | 74.0 | 962 | 0.2209 |
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- | 0.2542 | 75.0 | 975 | 0.2390 |
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- | 0.2542 | 76.0 | 988 | 0.2503 |
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- | 0.2621 | 77.0 | 1001 | 0.2405 |
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- | 0.2621 | 78.0 | 1014 | 0.2239 |
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- | 0.2493 | 79.0 | 1027 | 0.2441 |
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- | 0.2493 | 80.0 | 1040 | 0.2465 |
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- | 0.2516 | 81.0 | 1053 | 0.2167 |
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- | 0.2516 | 82.0 | 1066 | 0.2306 |
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- | 0.2516 | 83.0 | 1079 | 0.2263 |
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- | 0.2409 | 84.0 | 1092 | 0.2090 |
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- | 0.2409 | 85.0 | 1105 | 0.2158 |
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- | 0.234 | 86.0 | 1118 | 0.2212 |
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- | 0.234 | 87.0 | 1131 | 0.2237 |
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- | 0.2429 | 88.0 | 1144 | 0.2236 |
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- | 0.2429 | 89.0 | 1157 | 0.2095 |
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- | 0.2391 | 90.0 | 1170 | 0.2047 |
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- | 0.2391 | 91.0 | 1183 | 0.1991 |
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- | 0.2391 | 92.0 | 1196 | 0.2139 |
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- | 0.227 | 93.0 | 1209 | 0.2038 |
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- | 0.227 | 94.0 | 1222 | 0.2042 |
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- | 0.2237 | 95.0 | 1235 | 0.2019 |
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- | 0.2237 | 96.0 | 1248 | 0.2047 |
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- | 0.2263 | 97.0 | 1261 | 0.1969 |
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- | 0.2263 | 98.0 | 1274 | 0.2148 |
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- | 0.2263 | 99.0 | 1287 | 0.1865 |
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- | 0.2229 | 100.0 | 1300 | 0.2142 |
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- | 0.2229 | 101.0 | 1313 | 0.1932 |
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- | 0.2157 | 102.0 | 1326 | 0.1916 |
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- | 0.2157 | 103.0 | 1339 | 0.2002 |
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- | 0.2236 | 104.0 | 1352 | 0.1924 |
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- | 0.2236 | 105.0 | 1365 | 0.1953 |
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- | 0.2236 | 106.0 | 1378 | 0.1995 |
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- | 0.2216 | 107.0 | 1391 | 0.1997 |
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- | 0.2216 | 108.0 | 1404 | 0.1960 |
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- | 0.2201 | 109.0 | 1417 | 0.1969 |
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- | 0.2201 | 110.0 | 1430 | 0.1980 |
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- | 0.2183 | 111.0 | 1443 | 0.2006 |
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- | 0.2183 | 112.0 | 1456 | 0.1976 |
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- | 0.2183 | 113.0 | 1469 | 0.1956 |
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- | 0.2175 | 114.0 | 1482 | 0.1969 |
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- | 0.2175 | 115.0 | 1495 | 0.1967 |
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- | 0.2198 | 116.0 | 1508 | 0.1956 |
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- | 0.2198 | 117.0 | 1521 | 0.1938 |
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- | 0.2133 | 118.0 | 1534 | 0.1944 |
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- | 0.2133 | 119.0 | 1547 | 0.1942 |
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- | 0.2168 | 120.0 | 1560 | 0.1943 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
18
  It achieves the following results on the evaluation set:
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+ - Loss: 0.1998
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21
  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 13 | 0.9517 |
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+ | No log | 2.0 | 26 | 0.8438 |
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+ | 1.0443 | 3.0 | 39 | 0.8075 |
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+ | 1.0443 | 4.0 | 52 | 0.8254 |
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+ | 0.861 | 5.0 | 65 | 0.7857 |
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+ | 0.861 | 6.0 | 78 | 0.5834 |
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+ | 0.7566 | 7.0 | 91 | 0.5146 |
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+ | 0.7566 | 8.0 | 104 | 0.6595 |
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+ | 0.7566 | 9.0 | 117 | 0.5407 |
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+ | 0.6339 | 10.0 | 130 | 0.5945 |
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+ | 0.6339 | 11.0 | 143 | 0.4432 |
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+ | 0.5959 | 12.0 | 156 | 0.4546 |
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+ | 0.5959 | 13.0 | 169 | 0.4366 |
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+ | 0.5014 | 14.0 | 182 | 0.5585 |
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+ | 0.5014 | 15.0 | 195 | 0.4149 |
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+ | 0.5014 | 16.0 | 208 | 0.3919 |
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+ | 0.4776 | 17.0 | 221 | 0.3864 |
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+ | 0.4776 | 18.0 | 234 | 0.4003 |
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+ | 0.4489 | 19.0 | 247 | 0.3789 |
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+ | 0.4489 | 20.0 | 260 | 0.3881 |
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+ | 0.4598 | 21.0 | 273 | 0.3729 |
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+ | 0.4598 | 22.0 | 286 | 0.3117 |
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+ | 0.4598 | 23.0 | 299 | 0.3386 |
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+ | 0.4112 | 24.0 | 312 | 0.2830 |
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+ | 0.4112 | 25.0 | 325 | 0.3120 |
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+ | 0.3896 | 26.0 | 338 | 0.4226 |
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+ | 0.3896 | 27.0 | 351 | 0.3717 |
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+ | 0.4167 | 28.0 | 364 | 0.3000 |
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+ | 0.4167 | 29.0 | 377 | 0.3637 |
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+ | 0.4062 | 30.0 | 390 | 0.3542 |
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+ | 0.4062 | 31.0 | 403 | 0.4459 |
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+ | 0.4062 | 32.0 | 416 | 0.3601 |
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+ | 0.4099 | 33.0 | 429 | 0.3175 |
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+ | 0.4099 | 34.0 | 442 | 0.2680 |
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+ | 0.3472 | 35.0 | 455 | 0.2578 |
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+ | 0.3472 | 36.0 | 468 | 0.3001 |
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+ | 0.3591 | 37.0 | 481 | 0.2711 |
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+ | 0.3591 | 38.0 | 494 | 0.2830 |
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+ | 0.3591 | 39.0 | 507 | 0.2656 |
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+ | 0.3412 | 40.0 | 520 | 0.2630 |
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+ | 0.3412 | 41.0 | 533 | 0.3321 |
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+ | 0.3576 | 42.0 | 546 | 0.3430 |
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+ | 0.3576 | 43.0 | 559 | 0.3045 |
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+ | 0.3551 | 44.0 | 572 | 0.2655 |
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+ | 0.3551 | 45.0 | 585 | 0.2492 |
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+ | 0.3551 | 46.0 | 598 | 0.2796 |
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+ | 0.3209 | 47.0 | 611 | 0.2389 |
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+ | 0.3209 | 48.0 | 624 | 0.2839 |
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+ | 0.331 | 49.0 | 637 | 0.3001 |
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+ | 0.331 | 50.0 | 650 | 0.3001 |
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+ | 0.326 | 51.0 | 663 | 0.2871 |
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+ | 0.326 | 52.0 | 676 | 0.2934 |
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+ | 0.326 | 53.0 | 689 | 0.2741 |
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+ | 0.3193 | 54.0 | 702 | 0.2774 |
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+ | 0.3193 | 55.0 | 715 | 0.2753 |
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+ | 0.3078 | 56.0 | 728 | 0.2734 |
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+ | 0.3078 | 57.0 | 741 | 0.3060 |
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+ | 0.2999 | 58.0 | 754 | 0.2680 |
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+ | 0.2999 | 59.0 | 767 | 0.3381 |
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+ | 0.3173 | 60.0 | 780 | 0.3136 |
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+ | 0.3173 | 61.0 | 793 | 0.2993 |
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+ | 0.3173 | 62.0 | 806 | 0.2819 |
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+ | 0.3063 | 63.0 | 819 | 0.3030 |
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+ | 0.3063 | 64.0 | 832 | 0.2549 |
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+ | 0.3143 | 65.0 | 845 | 0.2936 |
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+ | 0.3143 | 66.0 | 858 | 0.2692 |
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+ | 0.3032 | 67.0 | 871 | 0.2773 |
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+ | 0.3032 | 68.0 | 884 | 0.2473 |
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+ | 0.3032 | 69.0 | 897 | 0.2276 |
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+ | 0.2922 | 70.0 | 910 | 0.2365 |
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+ | 0.2922 | 71.0 | 923 | 0.2627 |
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+ | 0.2872 | 72.0 | 936 | 0.2601 |
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+ | 0.2872 | 73.0 | 949 | 0.2449 |
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+ | 0.277 | 74.0 | 962 | 0.2336 |
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+ | 0.277 | 75.0 | 975 | 0.2350 |
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+ | 0.277 | 76.0 | 988 | 0.2542 |
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+ | 0.2739 | 77.0 | 1001 | 0.2455 |
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+ | 0.2739 | 78.0 | 1014 | 0.2323 |
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+ | 0.2695 | 79.0 | 1027 | 0.2636 |
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+ | 0.2695 | 80.0 | 1040 | 0.2430 |
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+ | 0.264 | 81.0 | 1053 | 0.2141 |
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+ | 0.264 | 82.0 | 1066 | 0.2332 |
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+ | 0.264 | 83.0 | 1079 | 0.2138 |
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+ | 0.2557 | 84.0 | 1092 | 0.2153 |
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+ | 0.2557 | 85.0 | 1105 | 0.2193 |
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+ | 0.2456 | 86.0 | 1118 | 0.2001 |
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+ | 0.2456 | 87.0 | 1131 | 0.2222 |
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+ | 0.2466 | 88.0 | 1144 | 0.2170 |
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+ | 0.2466 | 89.0 | 1157 | 0.2059 |
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+ | 0.2451 | 90.0 | 1170 | 0.2115 |
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+ | 0.2451 | 91.0 | 1183 | 0.2139 |
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+ | 0.2451 | 92.0 | 1196 | 0.1982 |
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+ | 0.2409 | 93.0 | 1209 | 0.2185 |
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+ | 0.2409 | 94.0 | 1222 | 0.2201 |
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+ | 0.2468 | 95.0 | 1235 | 0.2157 |
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+ | 0.2468 | 96.0 | 1248 | 0.2095 |
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+ | 0.2408 | 97.0 | 1261 | 0.2045 |
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+ | 0.2408 | 98.0 | 1274 | 0.2149 |
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+ | 0.2408 | 99.0 | 1287 | 0.2038 |
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+ | 0.2377 | 100.0 | 1300 | 0.2150 |
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+ | 0.2377 | 101.0 | 1313 | 0.1925 |
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+ | 0.2334 | 102.0 | 1326 | 0.1960 |
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+ | 0.2334 | 103.0 | 1339 | 0.1942 |
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+ | 0.2346 | 104.0 | 1352 | 0.1971 |
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+ | 0.2346 | 105.0 | 1365 | 0.1953 |
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+ | 0.2346 | 106.0 | 1378 | 0.2019 |
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+ | 0.2375 | 107.0 | 1391 | 0.2035 |
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+ | 0.2375 | 108.0 | 1404 | 0.1993 |
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+ | 0.2273 | 109.0 | 1417 | 0.2046 |
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+ | 0.2273 | 110.0 | 1430 | 0.1983 |
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+ | 0.227 | 111.0 | 1443 | 0.1987 |
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+ | 0.227 | 112.0 | 1456 | 0.1986 |
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+ | 0.227 | 113.0 | 1469 | 0.2039 |
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+ | 0.2272 | 114.0 | 1482 | 0.2023 |
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+ | 0.2272 | 115.0 | 1495 | 0.1990 |
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+ | 0.2255 | 116.0 | 1508 | 0.2005 |
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+ | 0.2255 | 117.0 | 1521 | 0.1992 |
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+ | 0.2323 | 118.0 | 1534 | 0.1980 |
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+ | 0.2323 | 119.0 | 1547 | 0.1995 |
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+ | 0.2273 | 120.0 | 1560 | 0.1998 |
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  ### Framework versions
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