Hugging Face's logo

LynnKukunda
/
detr_finetunned_ocular

Object Detection
Transformers
TensorBoard
Safetensors
conditional_detr
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
LynnKukunda commited on
Commit
c393348
•
1 Parent(s): 29a0fc9

End of training

Browse files
Files changed (2) hide show
  1. README.md +45 -45
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,23 +17,23 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the dsi dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 1.0555
21
- - Map: 0.3105
22
- - Map 50: 0.5094
23
- - Map 75: 0.3681
24
- - Map Small: 0.3051
25
- - Map Medium: 0.6784
26
  - Map Large: -1.0
27
- - Mar 1: 0.1012
28
- - Mar 10: 0.3719
29
- - Mar 100: 0.4137
30
- - Mar Small: 0.4091
31
- - Mar Medium: 0.729
32
  - Mar Large: -1.0
33
- - Map Falciparum Trophozoite: 0.0278
34
- - Mar 100 Falciparum Trophozoite: 0.1521
35
- - Map Wbc: 0.5932
36
- - Mar 100 Wbc: 0.6752
37
 
38
  ## Model description
39
 
@@ -64,36 +64,36 @@ The following hyperparameters were used during training:
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Falciparum Trophozoite | Mar 100 Falciparum Trophozoite | Map Wbc | Mar 100 Wbc |
66
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:--------------------------:|:------------------------------:|:-------:|:-----------:|
67
- | No log | 1.0 | 86 | 1.6541 | 0.1549 | 0.3623 | 0.08 | 0.1536 | 0.4182 | -1.0 | 0.0592 | 0.2379 | 0.2848 | 0.2853 | 0.5168 | -1.0 | 0.0005 | 0.047 | 0.3093 | 0.5226 |
68
- | No log | 2.0 | 172 | 1.3801 | 0.2395 | 0.4427 | 0.238 | 0.2359 | 0.5328 | -1.0 | 0.0755 | 0.2993 | 0.3396 | 0.3369 | 0.6402 | -1.0 | 0.0018 | 0.0706 | 0.4773 | 0.6087 |
69
- | No log | 3.0 | 258 | 1.4175 | 0.1792 | 0.4419 | 0.0744 | 0.1741 | 0.4323 | -1.0 | 0.0612 | 0.2419 | 0.2874 | 0.2859 | 0.5 | -1.0 | 0.0048 | 0.0922 | 0.3536 | 0.4825 |
70
- | No log | 4.0 | 344 | 1.2906 | 0.2572 | 0.4624 | 0.2607 | 0.2503 | 0.6126 | -1.0 | 0.0854 | 0.3166 | 0.359 | 0.3529 | 0.6813 | -1.0 | 0.0043 | 0.1098 | 0.51 | 0.6083 |
71
- | No log | 5.0 | 430 | 1.2677 | 0.2545 | 0.4529 | 0.2697 | 0.247 | 0.6228 | -1.0 | 0.0823 | 0.3159 | 0.3488 | 0.3417 | 0.6963 | -1.0 | 0.0035 | 0.0853 | 0.5055 | 0.6123 |
72
- | 1.7673 | 6.0 | 516 | 1.2231 | 0.255 | 0.4631 | 0.2604 | 0.2492 | 0.5956 | -1.0 | 0.0833 | 0.3175 | 0.368 | 0.3636 | 0.6607 | -1.0 | 0.0054 | 0.1276 | 0.5047 | 0.6084 |
73
- | 1.7673 | 7.0 | 602 | 1.2426 | 0.2397 | 0.4584 | 0.2285 | 0.2321 | 0.5881 | -1.0 | 0.0764 | 0.306 | 0.3469 | 0.3413 | 0.6458 | -1.0 | 0.005 | 0.1135 | 0.4744 | 0.5802 |
74
- | 1.7673 | 8.0 | 688 | 1.1784 | 0.2643 | 0.4667 | 0.292 | 0.2568 | 0.6374 | -1.0 | 0.0855 | 0.3325 | 0.3714 | 0.3645 | 0.7075 | -1.0 | 0.0053 | 0.117 | 0.5233 | 0.6258 |
75
- | 1.7673 | 9.0 | 774 | 1.2511 | 0.2373 | 0.4613 | 0.2127 | 0.2309 | 0.5616 | -1.0 | 0.0775 | 0.3077 | 0.349 | 0.341 | 0.6766 | -1.0 | 0.0062 | 0.1155 | 0.4685 | 0.5824 |
76
- | 1.7673 | 10.0 | 860 | 1.1846 | 0.2751 | 0.475 | 0.3099 | 0.2681 | 0.6399 | -1.0 | 0.0885 | 0.3358 | 0.3788 | 0.3716 | 0.7206 | -1.0 | 0.011 | 0.1223 | 0.5393 | 0.6353 |
77
- | 1.7673 | 11.0 | 946 | 1.1513 | 0.2719 | 0.4843 | 0.2901 | 0.2676 | 0.593 | -1.0 | 0.0884 | 0.3356 | 0.3769 | 0.3747 | 0.6458 | -1.0 | 0.0127 | 0.1342 | 0.5311 | 0.6196 |
78
- | 1.2353 | 12.0 | 1032 | 1.2062 | 0.2777 | 0.4874 | 0.2928 | 0.2703 | 0.6446 | -1.0 | 0.09 | 0.339 | 0.3768 | 0.3689 | 0.729 | -1.0 | 0.0122 | 0.117 | 0.5431 | 0.6365 |
79
- | 1.2353 | 13.0 | 1118 | 1.1219 | 0.2852 | 0.4915 | 0.3197 | 0.2783 | 0.6607 | -1.0 | 0.094 | 0.3517 | 0.3911 | 0.3837 | 0.7318 | -1.0 | 0.0163 | 0.1372 | 0.554 | 0.6449 |
80
- | 1.2353 | 14.0 | 1204 | 1.1155 | 0.2898 | 0.4921 | 0.3349 | 0.2846 | 0.6428 | -1.0 | 0.0965 | 0.3495 | 0.39 | 0.3845 | 0.7112 | -1.0 | 0.0164 | 0.1337 | 0.5631 | 0.6463 |
81
- | 1.2353 | 15.0 | 1290 | 1.1356 | 0.2871 | 0.4963 | 0.3191 | 0.282 | 0.6436 | -1.0 | 0.0933 | 0.3476 | 0.3851 | 0.3809 | 0.6981 | -1.0 | 0.0136 | 0.1221 | 0.5605 | 0.6482 |
82
- | 1.2353 | 16.0 | 1376 | 1.1302 | 0.2802 | 0.4788 | 0.3228 | 0.2748 | 0.6411 | -1.0 | 0.0906 | 0.3445 | 0.3803 | 0.3753 | 0.6972 | -1.0 | 0.0099 | 0.1217 | 0.5505 | 0.6388 |
83
- | 1.2353 | 17.0 | 1462 | 1.1037 | 0.2983 | 0.5098 | 0.3439 | 0.2914 | 0.6719 | -1.0 | 0.0972 | 0.3566 | 0.392 | 0.3856 | 0.7271 | -1.0 | 0.0276 | 0.1323 | 0.569 | 0.6517 |
84
- | 1.109 | 18.0 | 1548 | 1.0841 | 0.293 | 0.4955 | 0.3413 | 0.287 | 0.6637 | -1.0 | 0.0965 | 0.3564 | 0.3993 | 0.3948 | 0.7093 | -1.0 | 0.0205 | 0.1425 | 0.5655 | 0.656 |
85
- | 1.109 | 19.0 | 1634 | 1.0952 | 0.3001 | 0.5068 | 0.3538 | 0.2935 | 0.6762 | -1.0 | 0.095 | 0.3619 | 0.4027 | 0.3967 | 0.7355 | -1.0 | 0.0247 | 0.1411 | 0.5754 | 0.6643 |
86
- | 1.109 | 20.0 | 1720 | 1.0730 | 0.2979 | 0.4927 | 0.3564 | 0.293 | 0.6591 | -1.0 | 0.0958 | 0.3656 | 0.4084 | 0.4028 | 0.7271 | -1.0 | 0.0177 | 0.155 | 0.578 | 0.6617 |
87
- | 1.109 | 21.0 | 1806 | 1.0788 | 0.2991 | 0.5069 | 0.3549 | 0.2945 | 0.6573 | -1.0 | 0.097 | 0.3629 | 0.4031 | 0.4 | 0.6972 | -1.0 | 0.0217 | 0.1452 | 0.5765 | 0.661 |
88
- | 1.109 | 22.0 | 1892 | 1.0667 | 0.3057 | 0.5073 | 0.3642 | 0.301 | 0.6695 | -1.0 | 0.0978 | 0.3685 | 0.4078 | 0.4041 | 0.714 | -1.0 | 0.0262 | 0.1454 | 0.5851 | 0.6702 |
89
- | 1.109 | 23.0 | 1978 | 1.0652 | 0.3106 | 0.5156 | 0.367 | 0.306 | 0.6676 | -1.0 | 0.1008 | 0.3698 | 0.4134 | 0.4093 | 0.7234 | -1.0 | 0.0295 | 0.1517 | 0.5916 | 0.6751 |
90
- | 1.0324 | 24.0 | 2064 | 1.0559 | 0.3106 | 0.5096 | 0.3693 | 0.3057 | 0.6789 | -1.0 | 0.1009 | 0.3719 | 0.4163 | 0.4117 | 0.729 | -1.0 | 0.0275 | 0.1585 | 0.5936 | 0.6742 |
91
- | 1.0324 | 25.0 | 2150 | 1.0627 | 0.3124 | 0.5112 | 0.3715 | 0.3067 | 0.6896 | -1.0 | 0.1003 | 0.3726 | 0.4151 | 0.4099 | 0.7393 | -1.0 | 0.0276 | 0.153 | 0.5971 | 0.6773 |
92
- | 1.0324 | 26.0 | 2236 | 1.0589 | 0.3123 | 0.5122 | 0.372 | 0.3071 | 0.6781 | -1.0 | 0.101 | 0.3712 | 0.414 | 0.4095 | 0.7299 | -1.0 | 0.0277 | 0.1515 | 0.5969 | 0.6765 |
93
- | 1.0324 | 27.0 | 2322 | 1.0593 | 0.3108 | 0.5078 | 0.3728 | 0.3053 | 0.6835 | -1.0 | 0.1008 | 0.3713 | 0.4134 | 0.4089 | 0.728 | -1.0 | 0.0275 | 0.1511 | 0.5942 | 0.6756 |
94
- | 1.0324 | 28.0 | 2408 | 1.0560 | 0.3115 | 0.5113 | 0.3684 | 0.3062 | 0.6842 | -1.0 | 0.1015 | 0.3731 | 0.4146 | 0.4098 | 0.7336 | -1.0 | 0.0281 | 0.1526 | 0.5948 | 0.6767 |
95
- | 1.0324 | 29.0 | 2494 | 1.0560 | 0.3107 | 0.5101 | 0.3689 | 0.3055 | 0.6793 | -1.0 | 0.1012 | 0.3722 | 0.414 | 0.4095 | 0.729 | -1.0 | 0.0279 | 0.1521 | 0.5936 | 0.6758 |
96
- | 0.9794 | 30.0 | 2580 | 1.0555 | 0.3105 | 0.5094 | 0.3681 | 0.3051 | 0.6784 | -1.0 | 0.1012 | 0.3719 | 0.4137 | 0.4091 | 0.729 | -1.0 | 0.0278 | 0.1521 | 0.5932 | 0.6752 |
97
 
98
 
99
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the dsi dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 1.0598
21
+ - Map: 0.3166
22
+ - Map 50: 0.5255
23
+ - Map 75: 0.3725
24
+ - Map Small: 0.3115
25
+ - Map Medium: 0.6744
26
  - Map Large: -1.0
27
+ - Mar 1: 0.1043
28
+ - Mar 10: 0.3801
29
+ - Mar 100: 0.4224
30
+ - Mar Small: 0.4186
31
+ - Mar Medium: 0.7234
32
  - Mar Large: -1.0
33
+ - Map Falciparum Trophozoite: 0.0341
34
+ - Mar 100 Falciparum Trophozoite: 0.1663
35
+ - Map Wbc: 0.599
36
+ - Mar 100 Wbc: 0.6785
37
 
38
  ## Model description
39
 
 
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Falciparum Trophozoite | Mar 100 Falciparum Trophozoite | Map Wbc | Mar 100 Wbc |
66
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:--------------------------:|:------------------------------:|:-------:|:-----------:|
67
+ | No log | 1.0 | 86 | 1.1493 | 0.2788 | 0.5002 | 0.3024 | 0.274 | 0.6184 | -1.0 | 0.0918 | 0.3473 | 0.386 | 0.3823 | 0.6785 | -1.0 | 0.0196 | 0.1372 | 0.5381 | 0.6348 |
68
+ | No log | 2.0 | 172 | 1.1199 | 0.2924 | 0.5063 | 0.3371 | 0.2866 | 0.6545 | -1.0 | 0.0924 | 0.3509 | 0.3873 | 0.3805 | 0.729 | -1.0 | 0.0204 | 0.1264 | 0.5644 | 0.6483 |
69
+ | No log | 3.0 | 258 | 1.1616 | 0.2802 | 0.4941 | 0.3138 | 0.2746 | 0.6231 | -1.0 | 0.0891 | 0.3378 | 0.377 | 0.374 | 0.6598 | -1.0 | 0.0167 | 0.129 | 0.5438 | 0.6249 |
70
+ | No log | 4.0 | 344 | 1.1263 | 0.3014 | 0.517 | 0.3393 | 0.296 | 0.6609 | -1.0 | 0.0981 | 0.3588 | 0.3857 | 0.3806 | 0.7187 | -1.0 | 0.0258 | 0.1135 | 0.577 | 0.6579 |
71
+ | No log | 5.0 | 430 | 1.1219 | 0.2801 | 0.5117 | 0.297 | 0.2734 | 0.6555 | -1.0 | 0.0905 | 0.3458 | 0.3795 | 0.3737 | 0.7028 | -1.0 | 0.0218 | 0.1254 | 0.5385 | 0.6337 |
72
+ | 1.0831 | 6.0 | 516 | 1.1299 | 0.2646 | 0.485 | 0.2705 | 0.2581 | 0.6103 | -1.0 | 0.0885 | 0.3294 | 0.371 | 0.3636 | 0.7 | -1.0 | 0.0117 | 0.1288 | 0.5175 | 0.6131 |
73
+ | 1.0831 | 7.0 | 602 | 1.1003 | 0.2934 | 0.5064 | 0.3254 | 0.286 | 0.6706 | -1.0 | 0.0933 | 0.357 | 0.3962 | 0.3905 | 0.7206 | -1.0 | 0.0207 | 0.1397 | 0.5661 | 0.6528 |
74
+ | 1.0831 | 8.0 | 688 | 1.1063 | 0.2945 | 0.5028 | 0.3407 | 0.2871 | 0.6606 | -1.0 | 0.0946 | 0.3568 | 0.3975 | 0.3938 | 0.6925 | -1.0 | 0.0243 | 0.1454 | 0.5647 | 0.6495 |
75
+ | 1.0831 | 9.0 | 774 | 1.1364 | 0.2824 | 0.4979 | 0.3114 | 0.2774 | 0.622 | -1.0 | 0.0928 | 0.3445 | 0.3844 | 0.3818 | 0.671 | -1.0 | 0.017 | 0.1297 | 0.5479 | 0.6392 |
76
+ | 1.0831 | 10.0 | 860 | 1.0997 | 0.2904 | 0.501 | 0.3299 | 0.2841 | 0.6483 | -1.0 | 0.0908 | 0.3515 | 0.3917 | 0.387 | 0.7065 | -1.0 | 0.02 | 0.1329 | 0.5609 | 0.6505 |
77
+ | 1.0831 | 11.0 | 946 | 1.1198 | 0.2826 | 0.496 | 0.3186 | 0.277 | 0.6299 | -1.0 | 0.0915 | 0.3426 | 0.3822 | 0.3778 | 0.6832 | -1.0 | 0.0225 | 0.1342 | 0.5427 | 0.6303 |
78
+ | 1.0585 | 12.0 | 1032 | 1.0999 | 0.2921 | 0.5038 | 0.3196 | 0.2867 | 0.6334 | -1.0 | 0.0953 | 0.3556 | 0.3954 | 0.3916 | 0.6897 | -1.0 | 0.0244 | 0.1454 | 0.5599 | 0.6453 |
79
+ | 1.0585 | 13.0 | 1118 | 1.1097 | 0.2966 | 0.5183 | 0.3365 | 0.29 | 0.6667 | -1.0 | 0.0995 | 0.3549 | 0.3983 | 0.3923 | 0.7178 | -1.0 | 0.0297 | 0.1493 | 0.5636 | 0.6472 |
80
+ | 1.0585 | 14.0 | 1204 | 1.0932 | 0.2964 | 0.5113 | 0.335 | 0.2913 | 0.6494 | -1.0 | 0.0969 | 0.3556 | 0.396 | 0.391 | 0.7037 | -1.0 | 0.0279 | 0.1474 | 0.565 | 0.6447 |
81
+ | 1.0585 | 15.0 | 1290 | 1.0951 | 0.2958 | 0.5173 | 0.3287 | 0.2915 | 0.6321 | -1.0 | 0.0969 | 0.3596 | 0.4018 | 0.3962 | 0.7187 | -1.0 | 0.0321 | 0.1505 | 0.5595 | 0.653 |
82
+ | 1.0585 | 16.0 | 1376 | 1.1036 | 0.3048 | 0.5215 | 0.3482 | 0.2997 | 0.6588 | -1.0 | 0.102 | 0.3633 | 0.4029 | 0.3974 | 0.7234 | -1.0 | 0.0321 | 0.1481 | 0.5775 | 0.6578 |
83
+ | 1.0585 | 17.0 | 1462 | 1.0973 | 0.2997 | 0.5169 | 0.3437 | 0.2943 | 0.6445 | -1.0 | 0.1006 | 0.3589 | 0.3994 | 0.3963 | 0.6907 | -1.0 | 0.0306 | 0.1448 | 0.5688 | 0.654 |
84
+ | 0.968 | 18.0 | 1548 | 1.1322 | 0.3029 | 0.5193 | 0.3482 | 0.2973 | 0.6525 | -1.0 | 0.0983 | 0.3636 | 0.4015 | 0.3977 | 0.6991 | -1.0 | 0.032 | 0.1499 | 0.5738 | 0.6532 |
85
+ | 0.968 | 19.0 | 1634 | 1.0698 | 0.3049 | 0.5114 | 0.3471 | 0.2989 | 0.6757 | -1.0 | 0.0992 | 0.3665 | 0.4138 | 0.4084 | 0.729 | -1.0 | 0.0288 | 0.1634 | 0.581 | 0.6643 |
86
+ | 0.968 | 20.0 | 1720 | 1.0780 | 0.3093 | 0.516 | 0.3556 | 0.3036 | 0.6647 | -1.0 | 0.101 | 0.3694 | 0.4145 | 0.4096 | 0.7252 | -1.0 | 0.0299 | 0.1618 | 0.5887 | 0.6673 |
87
+ | 0.968 | 21.0 | 1806 | 1.0825 | 0.3044 | 0.522 | 0.3357 | 0.2981 | 0.6642 | -1.0 | 0.0982 | 0.3653 | 0.4071 | 0.4029 | 0.7075 | -1.0 | 0.0319 | 0.1564 | 0.5768 | 0.6578 |
88
+ | 0.968 | 22.0 | 1892 | 1.0660 | 0.3142 | 0.5195 | 0.3691 | 0.3096 | 0.6679 | -1.0 | 0.1028 | 0.3764 | 0.4195 | 0.4158 | 0.7187 | -1.0 | 0.0352 | 0.164 | 0.5933 | 0.675 |
89
+ | 0.968 | 23.0 | 1978 | 1.0604 | 0.3145 | 0.5256 | 0.3633 | 0.3093 | 0.674 | -1.0 | 0.1031 | 0.3774 | 0.4199 | 0.4152 | 0.729 | -1.0 | 0.0368 | 0.1669 | 0.5922 | 0.6729 |
90
+ | 0.9092 | 24.0 | 2064 | 1.0607 | 0.3168 | 0.5266 | 0.3768 | 0.3114 | 0.6848 | -1.0 | 0.1039 | 0.3785 | 0.4233 | 0.4186 | 0.7374 | -1.0 | 0.034 | 0.1654 | 0.5996 | 0.6812 |
91
+ | 0.9092 | 25.0 | 2150 | 1.0681 | 0.3163 | 0.5283 | 0.3656 | 0.3113 | 0.6751 | -1.0 | 0.1053 | 0.3769 | 0.4185 | 0.4148 | 0.7196 | -1.0 | 0.0352 | 0.1616 | 0.5975 | 0.6755 |
92
+ | 0.9092 | 26.0 | 2236 | 1.0641 | 0.3158 | 0.5239 | 0.3708 | 0.3106 | 0.6715 | -1.0 | 0.1045 | 0.378 | 0.4217 | 0.4181 | 0.7196 | -1.0 | 0.0339 | 0.1656 | 0.5977 | 0.6777 |
93
+ | 0.9092 | 27.0 | 2322 | 1.0644 | 0.3162 | 0.526 | 0.3721 | 0.311 | 0.6785 | -1.0 | 0.1035 | 0.3775 | 0.42 | 0.4164 | 0.7206 | -1.0 | 0.0336 | 0.1624 | 0.5988 | 0.6777 |
94
+ | 0.9092 | 28.0 | 2408 | 1.0606 | 0.3165 | 0.5241 | 0.374 | 0.3114 | 0.6784 | -1.0 | 0.1052 | 0.3794 | 0.4223 | 0.4184 | 0.7252 | -1.0 | 0.0343 | 0.1665 | 0.5988 | 0.6782 |
95
+ | 0.9092 | 29.0 | 2494 | 1.0600 | 0.3161 | 0.5249 | 0.3728 | 0.311 | 0.6744 | -1.0 | 0.1043 | 0.3795 | 0.4219 | 0.418 | 0.7234 | -1.0 | 0.0341 | 0.1661 | 0.5981 | 0.6777 |
96
+ | 0.8509 | 30.0 | 2580 | 1.0598 | 0.3166 | 0.5255 | 0.3725 | 0.3115 | 0.6744 | -1.0 | 0.1043 | 0.3801 | 0.4224 | 0.4186 | 0.7234 | -1.0 | 0.0341 | 0.1663 | 0.599 | 0.6785 |
97
 
98
 
99
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:951421a333ac8b5eba23211832131cbf4c9f791e7201430a65aee95161f0f48d
3
  size 174076712
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04ffb7b6d541daa05dbe8ad7d01a6141582df70fc5c3b80e1f3a6e41f956368f
3
  size 174076712