metadata
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: chickens
results: []
chickens
This model is a fine-tuned version of facebook/detr-resnet-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2613
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 300
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.4696 | 1.0 | 497 | 1.3836 |
1.0964 | 2.0 | 994 | 1.0764 |
0.8905 | 3.0 | 1491 | 0.8395 |
0.8093 | 4.0 | 1988 | 0.7073 |
0.7444 | 5.0 | 2485 | 0.6422 |
0.6324 | 6.0 | 2982 | 0.5710 |
0.6004 | 7.0 | 3479 | 0.5129 |
0.5475 | 8.0 | 3976 | 0.4670 |
0.4901 | 9.0 | 4473 | 0.4419 |
0.4855 | 10.0 | 4970 | 0.4930 |
0.4547 | 11.0 | 5467 | 0.4002 |
0.4106 | 12.0 | 5964 | 0.3824 |
0.4184 | 13.0 | 6461 | 0.3699 |
0.4038 | 14.0 | 6958 | 0.3770 |
0.3967 | 15.0 | 7455 | 0.3576 |
0.4071 | 16.0 | 7952 | 0.3368 |
0.3439 | 17.0 | 8449 | 0.3470 |
0.4089 | 18.0 | 8946 | 0.3332 |
0.3769 | 19.0 | 9443 | 0.3318 |
0.3565 | 20.0 | 9940 | 0.3513 |
0.3357 | 21.0 | 10437 | 0.3220 |
0.3294 | 22.0 | 10934 | 0.3278 |
0.3482 | 23.0 | 11431 | 0.3140 |
0.3326 | 24.0 | 11928 | 0.2937 |
0.3304 | 25.0 | 12425 | 0.3053 |
0.3439 | 26.0 | 12922 | 0.3023 |
0.3336 | 27.0 | 13419 | 0.2763 |
0.318 | 28.0 | 13916 | 0.2977 |
0.3446 | 29.0 | 14413 | 0.3100 |
0.3352 | 30.0 | 14910 | 0.3298 |
0.339 | 31.0 | 15407 | 0.2906 |
0.3152 | 32.0 | 15904 | 0.3107 |
0.3235 | 33.0 | 16401 | 0.2959 |
0.3098 | 34.0 | 16898 | 0.2984 |
0.3152 | 35.0 | 17395 | 0.2776 |
0.2926 | 36.0 | 17892 | 0.2892 |
0.2881 | 37.0 | 18389 | 0.2864 |
0.3131 | 38.0 | 18886 | 0.2814 |
0.2829 | 39.0 | 19383 | 0.2890 |
0.3168 | 40.0 | 19880 | 0.2696 |
0.3284 | 41.0 | 20377 | 0.2716 |
0.285 | 42.0 | 20874 | 0.2740 |
0.2797 | 43.0 | 21371 | 0.2866 |
0.2888 | 44.0 | 21868 | 0.2714 |
0.2898 | 45.0 | 22365 | 0.2794 |
0.2615 | 46.0 | 22862 | 0.2730 |
0.2661 | 47.0 | 23359 | 0.2964 |
0.2806 | 48.0 | 23856 | 0.3475 |
0.2591 | 49.0 | 24353 | 0.2749 |
0.2824 | 50.0 | 24850 | 0.2791 |
0.2599 | 51.0 | 25347 | 0.2899 |
0.2908 | 52.0 | 25844 | 0.2889 |
0.2776 | 53.0 | 26341 | 0.2812 |
0.2722 | 54.0 | 26838 | 0.2819 |
0.2519 | 55.0 | 27335 | 0.2671 |
0.2735 | 56.0 | 27832 | 0.2716 |
0.2731 | 57.0 | 28329 | 0.2663 |
0.2604 | 58.0 | 28826 | 0.2728 |
0.2602 | 59.0 | 29323 | 0.2742 |
0.2433 | 60.0 | 29820 | 0.2565 |
0.2603 | 61.0 | 30317 | 0.2921 |
0.2515 | 62.0 | 30814 | 0.2737 |
0.2618 | 63.0 | 31311 | 0.2619 |
0.248 | 64.0 | 31808 | 0.2770 |
0.2481 | 65.0 | 32305 | 0.2586 |
0.2556 | 66.0 | 32802 | 0.2797 |
0.2515 | 67.0 | 33299 | 0.2464 |
0.2372 | 68.0 | 33796 | 0.2500 |
0.239 | 69.0 | 34293 | 0.2562 |
0.2387 | 70.0 | 34790 | 0.2522 |
0.2329 | 71.0 | 35287 | 0.2628 |
0.252 | 72.0 | 35784 | 0.2543 |
0.263 | 73.0 | 36281 | 0.2615 |
0.2501 | 74.0 | 36778 | 0.2893 |
0.2521 | 75.0 | 37275 | 0.2733 |
0.2855 | 76.0 | 37772 | 0.2708 |
0.2387 | 77.0 | 38269 | 0.2532 |
0.2516 | 78.0 | 38766 | 0.2686 |
0.2318 | 79.0 | 39263 | 0.2537 |
0.2436 | 80.0 | 39760 | 0.2452 |
0.2237 | 81.0 | 40257 | 0.2581 |
0.2278 | 82.0 | 40754 | 0.2575 |
0.2303 | 83.0 | 41251 | 0.2526 |
0.2256 | 84.0 | 41748 | 0.2563 |
0.2379 | 85.0 | 42245 | 0.2690 |
0.2154 | 86.0 | 42742 | 0.2685 |
0.2348 | 87.0 | 43239 | 0.2547 |
0.2471 | 88.0 | 43736 | 0.2442 |
0.2234 | 89.0 | 44233 | 0.2715 |
0.2206 | 90.0 | 44730 | 0.2643 |
0.214 | 91.0 | 45227 | 0.2647 |
0.2181 | 92.0 | 45724 | 0.2597 |
0.204 | 93.0 | 46221 | 0.2730 |
0.213 | 94.0 | 46718 | 0.2392 |
0.2107 | 95.0 | 47215 | 0.2479 |
0.2161 | 96.0 | 47712 | 0.2695 |
0.2173 | 97.0 | 48209 | 0.2525 |
0.2215 | 98.0 | 48706 | 0.2475 |
0.2057 | 99.0 | 49203 | 0.2686 |
0.2231 | 100.0 | 49700 | 0.2786 |
0.2055 | 101.0 | 50197 | 0.2644 |
0.2121 | 102.0 | 50694 | 0.2705 |
0.2337 | 103.0 | 51191 | 0.2538 |
0.2172 | 104.0 | 51688 | 0.2561 |
0.2207 | 105.0 | 52185 | 0.2673 |
0.213 | 106.0 | 52682 | 0.2871 |
0.2191 | 107.0 | 53179 | 0.2733 |
0.2075 | 108.0 | 53676 | 0.2595 |
0.2293 | 109.0 | 54173 | 0.2706 |
0.2166 | 110.0 | 54670 | 0.2642 |
0.2011 | 111.0 | 55167 | 0.2628 |
0.2067 | 112.0 | 55664 | 0.2650 |
0.215 | 113.0 | 56161 | 0.2807 |
0.1979 | 114.0 | 56658 | 0.2764 |
0.2349 | 115.0 | 57155 | 0.2569 |
0.2029 | 116.0 | 57652 | 0.2613 |
0.1968 | 117.0 | 58149 | 0.2720 |
0.1898 | 118.0 | 58646 | 0.2752 |
0.2093 | 119.0 | 59143 | 0.2696 |
0.21 | 120.0 | 59640 | 0.2635 |
0.1968 | 121.0 | 60137 | 0.2684 |
0.2006 | 122.0 | 60634 | 0.2500 |
0.2042 | 123.0 | 61131 | 0.2479 |
0.194 | 124.0 | 61628 | 0.2486 |
0.1938 | 125.0 | 62125 | 0.2541 |
0.1968 | 126.0 | 62622 | 0.2792 |
0.2102 | 127.0 | 63119 | 0.2635 |
0.2041 | 128.0 | 63616 | 0.2413 |
0.1975 | 129.0 | 64113 | 0.2604 |
0.2017 | 130.0 | 64610 | 0.2682 |
0.198 | 131.0 | 65107 | 0.2646 |
0.2011 | 132.0 | 65604 | 0.2753 |
0.1792 | 133.0 | 66101 | 0.2599 |
0.2035 | 134.0 | 66598 | 0.2660 |
0.2014 | 135.0 | 67095 | 0.2687 |
0.2053 | 136.0 | 67592 | 0.2678 |
0.2042 | 137.0 | 68089 | 0.2752 |
0.1992 | 138.0 | 68586 | 0.2697 |
0.1783 | 139.0 | 69083 | 0.2608 |
0.179 | 140.0 | 69580 | 0.2735 |
0.1845 | 141.0 | 70077 | 0.2649 |
0.1868 | 142.0 | 70574 | 0.2666 |
0.1997 | 143.0 | 71071 | 0.2565 |
0.1755 | 144.0 | 71568 | 0.2666 |
0.1846 | 145.0 | 72065 | 0.2677 |
0.1784 | 146.0 | 72562 | 0.2621 |
0.1888 | 147.0 | 73059 | 0.2523 |
0.1963 | 148.0 | 73556 | 0.2599 |
0.1905 | 149.0 | 74053 | 0.2512 |
0.1789 | 150.0 | 74550 | 0.2675 |
0.1916 | 151.0 | 75047 | 0.2443 |
0.1841 | 152.0 | 75544 | 0.2371 |
0.1884 | 153.0 | 76041 | 0.2528 |
0.1767 | 154.0 | 76538 | 0.2542 |
0.1691 | 155.0 | 77035 | 0.2565 |
0.189 | 156.0 | 77532 | 0.2482 |
0.1746 | 157.0 | 78029 | 0.2665 |
0.1739 | 158.0 | 78526 | 0.2599 |
0.1751 | 159.0 | 79023 | 0.2576 |
0.1664 | 160.0 | 79520 | 0.2616 |
0.177 | 161.0 | 80017 | 0.2581 |
0.1791 | 162.0 | 80514 | 0.2534 |
0.1825 | 163.0 | 81011 | 0.2673 |
0.1779 | 164.0 | 81508 | 0.2576 |
0.1734 | 165.0 | 82005 | 0.2537 |
0.1726 | 166.0 | 82502 | 0.2429 |
0.1644 | 167.0 | 82999 | 0.2354 |
0.1767 | 168.0 | 83496 | 0.2446 |
0.1749 | 169.0 | 83993 | 0.2498 |
0.1819 | 170.0 | 84490 | 0.2415 |
0.1863 | 171.0 | 84987 | 0.2361 |
0.1675 | 172.0 | 85484 | 0.2550 |
0.1693 | 173.0 | 85981 | 0.2461 |
0.1658 | 174.0 | 86478 | 0.2413 |
0.1712 | 175.0 | 86975 | 0.2457 |
0.1729 | 176.0 | 87472 | 0.2433 |
0.1645 | 177.0 | 87969 | 0.2487 |
0.1676 | 178.0 | 88466 | 0.2384 |
0.1592 | 179.0 | 88963 | 0.2575 |
0.1707 | 180.0 | 89460 | 0.2612 |
0.1628 | 181.0 | 89957 | 0.2500 |
0.1631 | 182.0 | 90454 | 0.2399 |
0.1678 | 183.0 | 90951 | 0.2463 |
0.1634 | 184.0 | 91448 | 0.2618 |
0.1702 | 185.0 | 91945 | 0.2560 |
0.1692 | 186.0 | 92442 | 0.2552 |
0.1633 | 187.0 | 92939 | 0.2492 |
0.1601 | 188.0 | 93436 | 0.2477 |
0.1711 | 189.0 | 93933 | 0.2603 |
0.1495 | 190.0 | 94430 | 0.2665 |
0.1751 | 191.0 | 94927 | 0.2545 |
0.1765 | 192.0 | 95424 | 0.2546 |
0.1529 | 193.0 | 95921 | 0.2523 |
0.1669 | 194.0 | 96418 | 0.2678 |
0.1552 | 195.0 | 96915 | 0.2672 |
0.1564 | 196.0 | 97412 | 0.2561 |
0.1597 | 197.0 | 97909 | 0.2483 |
0.1592 | 198.0 | 98406 | 0.2612 |
0.156 | 199.0 | 98903 | 0.2685 |
0.1627 | 200.0 | 99400 | 0.2564 |
0.1606 | 201.0 | 99897 | 0.2618 |
0.1514 | 202.0 | 100394 | 0.2450 |
0.1524 | 203.0 | 100891 | 0.2638 |
0.1597 | 204.0 | 101388 | 0.2518 |
0.1549 | 205.0 | 101885 | 0.2497 |
0.1542 | 206.0 | 102382 | 0.2605 |
0.167 | 207.0 | 102879 | 0.2610 |
0.1531 | 208.0 | 103376 | 0.2616 |
0.1511 | 209.0 | 103873 | 0.2555 |
0.1482 | 210.0 | 104370 | 0.2496 |
0.1665 | 211.0 | 104867 | 0.2520 |
0.16 | 212.0 | 105364 | 0.2573 |
0.1539 | 213.0 | 105861 | 0.2669 |
0.1463 | 214.0 | 106358 | 0.2463 |
0.1502 | 215.0 | 106855 | 0.2514 |
0.1487 | 216.0 | 107352 | 0.2596 |
0.152 | 217.0 | 107849 | 0.2625 |
0.1567 | 218.0 | 108346 | 0.2588 |
0.1558 | 219.0 | 108843 | 0.2558 |
0.1531 | 220.0 | 109340 | 0.2549 |
0.1561 | 221.0 | 109837 | 0.2558 |
0.1525 | 222.0 | 110334 | 0.2534 |
0.1539 | 223.0 | 110831 | 0.2542 |
0.1673 | 224.0 | 111328 | 0.2475 |
0.1501 | 225.0 | 111825 | 0.2654 |
0.1476 | 226.0 | 112322 | 0.2636 |
0.1506 | 227.0 | 112819 | 0.2603 |
0.1521 | 228.0 | 113316 | 0.2581 |
0.1459 | 229.0 | 113813 | 0.2546 |
0.1519 | 230.0 | 114310 | 0.2526 |
0.1546 | 231.0 | 114807 | 0.2575 |
0.147 | 232.0 | 115304 | 0.2566 |
0.1501 | 233.0 | 115801 | 0.2531 |
0.1451 | 234.0 | 116298 | 0.2570 |
0.1586 | 235.0 | 116795 | 0.2616 |
0.1499 | 236.0 | 117292 | 0.2516 |
0.1565 | 237.0 | 117789 | 0.2565 |
0.1521 | 238.0 | 118286 | 0.2578 |
0.1526 | 239.0 | 118783 | 0.2568 |
0.153 | 240.0 | 119280 | 0.2526 |
0.1486 | 241.0 | 119777 | 0.2600 |
0.1534 | 242.0 | 120274 | 0.2584 |
0.1434 | 243.0 | 120771 | 0.2589 |
0.1474 | 244.0 | 121268 | 0.2589 |
0.1375 | 245.0 | 121765 | 0.2571 |
0.1426 | 246.0 | 122262 | 0.2562 |
0.14 | 247.0 | 122759 | 0.2534 |
0.1448 | 248.0 | 123256 | 0.2564 |
0.1506 | 249.0 | 123753 | 0.2575 |
0.1454 | 250.0 | 124250 | 0.2595 |
0.1499 | 251.0 | 124747 | 0.2585 |
0.1497 | 252.0 | 125244 | 0.2569 |
0.1503 | 253.0 | 125741 | 0.2613 |
0.1496 | 254.0 | 126238 | 0.2590 |
0.1489 | 255.0 | 126735 | 0.2607 |
0.141 | 256.0 | 127232 | 0.2595 |
0.1535 | 257.0 | 127729 | 0.2593 |
0.1435 | 258.0 | 128226 | 0.2603 |
0.1461 | 259.0 | 128723 | 0.2601 |
0.1568 | 260.0 | 129220 | 0.2573 |
0.1392 | 261.0 | 129717 | 0.2579 |
0.1458 | 262.0 | 130214 | 0.2682 |
0.1492 | 263.0 | 130711 | 0.2634 |
0.1502 | 264.0 | 131208 | 0.2636 |
0.145 | 265.0 | 131705 | 0.2649 |
0.1493 | 266.0 | 132202 | 0.2633 |
0.1466 | 267.0 | 132699 | 0.2622 |
0.1526 | 268.0 | 133196 | 0.2594 |
0.1415 | 269.0 | 133693 | 0.2598 |
0.1463 | 270.0 | 134190 | 0.2623 |
0.15 | 271.0 | 134687 | 0.2618 |
0.1454 | 272.0 | 135184 | 0.2588 |
0.1445 | 273.0 | 135681 | 0.2547 |
0.1456 | 274.0 | 136178 | 0.2609 |
0.15 | 275.0 | 136675 | 0.2598 |
0.1458 | 276.0 | 137172 | 0.2630 |
0.1379 | 277.0 | 137669 | 0.2625 |
0.1409 | 278.0 | 138166 | 0.2604 |
0.1424 | 279.0 | 138663 | 0.2607 |
0.1479 | 280.0 | 139160 | 0.2612 |
0.1407 | 281.0 | 139657 | 0.2610 |
0.1507 | 282.0 | 140154 | 0.2611 |
0.1442 | 283.0 | 140651 | 0.2618 |
0.1497 | 284.0 | 141148 | 0.2610 |
0.146 | 285.0 | 141645 | 0.2600 |
0.1687 | 286.0 | 142142 | 0.2620 |
0.1409 | 287.0 | 142639 | 0.2610 |
0.1507 | 288.0 | 143136 | 0.2585 |
0.1474 | 289.0 | 143633 | 0.2608 |
0.1431 | 290.0 | 144130 | 0.2594 |
0.1496 | 291.0 | 144627 | 0.2617 |
0.1444 | 292.0 | 145124 | 0.2596 |
0.1382 | 293.0 | 145621 | 0.2612 |
0.151 | 294.0 | 146118 | 0.2614 |
0.1357 | 295.0 | 146615 | 0.2615 |
0.1436 | 296.0 | 147112 | 0.2614 |
0.1473 | 297.0 | 147609 | 0.2613 |
0.1423 | 298.0 | 148106 | 0.2613 |
0.1495 | 299.0 | 148603 | 0.2613 |
0.1457 | 300.0 | 149100 | 0.2613 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.2
- Tokenizers 0.20.0