Hugging Face's logo

mrdbourke
/
detr_finetuned_trashify_box_detector

Object Detection
Transformers
Safetensors
conditional_detr
Generated from Trainer
Inference Endpoints
Model card Files Community
mrdbourke commited on
Commit
5f4a86b
·
verified ·
1 Parent(s): 5b69266

upload trashify box detection model trained on purely synthetic data

Browse files
Files changed (3) hide show
  1. README.md +105 -105
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -4,18 +4,18 @@ base_model: microsoft/conditional-detr-resnet-50
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
- - name: detr_finetuned_trashify_box_detector
8
  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
- # detr_finetuned_trashify_box_detector
15
 
16
  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 1.2587
19
 
20
  ## Model description
21
 
@@ -46,108 +46,108 @@ The following hyperparameters were used during training:
46
 
47
  ### Training results
48
 
49
- | Training Loss | Epoch | Step | Validation Loss |
50
- |:-------------:|:-----:|:----:|:---------------:|
51
- | 156.9071 | 1.0 | 17 | 143.4884 |
52
- | 96.0825 | 2.0 | 34 | 46.8133 |
53
- | 23.3273 | 3.0 | 51 | 8.0389 |
54
- | 5.8548 | 4.0 | 68 | 4.0858 |
55
- | 3.8683 | 5.0 | 85 | 3.3899 |
56
- | 3.2141 | 6.0 | 102 | 2.9179 |
57
- | 2.8708 | 7.0 | 119 | 2.7879 |
58
- | 2.7156 | 8.0 | 136 | 2.5295 |
59
- | 2.5777 | 9.0 | 153 | 2.3035 |
60
- | 2.4666 | 10.0 | 170 | 2.2552 |
61
- | 2.4633 | 11.0 | 187 | 2.1860 |
62
- | 2.3766 | 12.0 | 204 | 2.1029 |
63
- | 2.2909 | 13.0 | 221 | 1.9761 |
64
- | 2.2608 | 14.0 | 238 | 1.9105 |
65
- | 2.1611 | 15.0 | 255 | 1.8437 |
66
- | 2.1401 | 16.0 | 272 | 1.8658 |
67
- | 2.0769 | 17.0 | 289 | 1.7759 |
68
- | 2.0679 | 18.0 | 306 | 1.7916 |
69
- | 2.03 | 19.0 | 323 | 1.7067 |
70
- | 1.9966 | 20.0 | 340 | 1.6942 |
71
- | 1.954 | 21.0 | 357 | 1.6753 |
72
- | 1.8938 | 22.0 | 374 | 1.5643 |
73
- | 1.8869 | 23.0 | 391 | 1.5273 |
74
- | 1.8172 | 24.0 | 408 | 1.5097 |
75
- | 1.8212 | 25.0 | 425 | 1.5076 |
76
- | 1.7427 | 26.0 | 442 | 1.4849 |
77
- | 1.7884 | 27.0 | 459 | 1.5717 |
78
- | 1.7833 | 28.0 | 476 | 1.5051 |
79
- | 1.7443 | 29.0 | 493 | 1.4626 |
80
- | 1.6988 | 30.0 | 510 | 1.4831 |
81
- | 1.6914 | 31.0 | 527 | 1.4620 |
82
- | 1.6532 | 32.0 | 544 | 1.4284 |
83
- | 1.6159 | 33.0 | 561 | 1.4028 |
84
- | 1.601 | 34.0 | 578 | 1.3762 |
85
- | 1.5265 | 35.0 | 595 | 1.3596 |
86
- | 1.5479 | 36.0 | 612 | 1.4009 |
87
- | 1.5578 | 37.0 | 629 | 1.3551 |
88
- | 1.5452 | 38.0 | 646 | 1.3695 |
89
- | 1.4933 | 39.0 | 663 | 1.3355 |
90
- | 1.4605 | 40.0 | 680 | 1.3251 |
91
- | 1.4817 | 41.0 | 697 | 1.3311 |
92
- | 1.4777 | 42.0 | 714 | 1.3476 |
93
- | 1.4406 | 43.0 | 731 | 1.3408 |
94
- | 1.3864 | 44.0 | 748 | 1.3146 |
95
- | 1.4058 | 45.0 | 765 | 1.3327 |
96
- | 1.3902 | 46.0 | 782 | 1.3122 |
97
- | 1.3958 | 47.0 | 799 | 1.3060 |
98
- | 1.3873 | 48.0 | 816 | 1.3225 |
99
- | 1.3607 | 49.0 | 833 | 1.3295 |
100
- | 1.3796 | 50.0 | 850 | 1.2729 |
101
- | 1.3325 | 51.0 | 867 | 1.2642 |
102
- | 1.2986 | 52.0 | 884 | 1.2688 |
103
- | 1.2978 | 53.0 | 901 | 1.2589 |
104
- | 1.2999 | 54.0 | 918 | 1.2692 |
105
- | 1.2612 | 55.0 | 935 | 1.2747 |
106
- | 1.2475 | 56.0 | 952 | 1.2701 |
107
- | 1.2438 | 57.0 | 969 | 1.2410 |
108
- | 1.2254 | 58.0 | 986 | 1.2589 |
109
- | 1.2619 | 59.0 | 1003 | 1.2863 |
110
- | 1.2494 | 60.0 | 1020 | 1.2995 |
111
- | 1.2107 | 61.0 | 1037 | 1.2750 |
112
- | 1.16 | 62.0 | 1054 | 1.2857 |
113
- | 1.1882 | 63.0 | 1071 | 1.2641 |
114
- | 1.2035 | 64.0 | 1088 | 1.2447 |
115
- | 1.1415 | 65.0 | 1105 | 1.2478 |
116
- | 1.1625 | 66.0 | 1122 | 1.2691 |
117
- | 1.1478 | 67.0 | 1139 | 1.2771 |
118
- | 1.1173 | 68.0 | 1156 | 1.2684 |
119
- | 1.1764 | 69.0 | 1173 | 1.2728 |
120
- | 1.1038 | 70.0 | 1190 | 1.2805 |
121
- | 1.0932 | 71.0 | 1207 | 1.2667 |
122
- | 1.0801 | 72.0 | 1224 | 1.2649 |
123
- | 1.0779 | 73.0 | 1241 | 1.2511 |
124
- | 1.0934 | 74.0 | 1258 | 1.2375 |
125
- | 1.057 | 75.0 | 1275 | 1.2407 |
126
- | 1.0306 | 76.0 | 1292 | 1.2530 |
127
- | 1.0532 | 77.0 | 1309 | 1.2757 |
128
- | 1.0547 | 78.0 | 1326 | 1.2663 |
129
- | 1.0247 | 79.0 | 1343 | 1.3059 |
130
- | 1.0459 | 80.0 | 1360 | 1.2689 |
131
- | 1.0161 | 81.0 | 1377 | 1.2712 |
132
- | 1.0381 | 82.0 | 1394 | 1.2826 |
133
- | 0.9998 | 83.0 | 1411 | 1.2634 |
134
- | 1.0095 | 84.0 | 1428 | 1.2755 |
135
- | 1.011 | 85.0 | 1445 | 1.2358 |
136
- | 0.9467 | 86.0 | 1462 | 1.2506 |
137
- | 0.9677 | 87.0 | 1479 | 1.2504 |
138
- | 0.9682 | 88.0 | 1496 | 1.2541 |
139
- | 0.9558 | 89.0 | 1513 | 1.2429 |
140
- | 0.9676 | 90.0 | 1530 | 1.2412 |
141
- | 0.9331 | 91.0 | 1547 | 1.2458 |
142
- | 0.9565 | 92.0 | 1564 | 1.2406 |
143
- | 0.9265 | 93.0 | 1581 | 1.2424 |
144
- | 0.9435 | 94.0 | 1598 | 1.2604 |
145
- | 0.9281 | 95.0 | 1615 | 1.2597 |
146
- | 0.9497 | 96.0 | 1632 | 1.2621 |
147
- | 0.9133 | 97.0 | 1649 | 1.2621 |
148
- | 0.959 | 98.0 | 1666 | 1.2527 |
149
- | 0.9017 | 99.0 | 1683 | 1.2547 |
150
- | 0.9541 | 100.0 | 1700 | 1.2587 |
151
 
152
 
153
  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: trashify-box-detection-model-synthetic-data-only
8
  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
+ # trashify-box-detection-model-synthetic-data-only
15
 
16
  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.9157
19
 
20
  ## Model description
21
 
 
46
 
47
  ### Training results
48
 
49
+ | Training Loss | Epoch | Step | Validation Loss |
50
+ |:-------------:|:-----:|:-----:|:---------------:|
51
+ | 68.1067 | 1.0 | 118 | 4.3013 |
52
+ | 2.9988 | 2.0 | 236 | 2.2306 |
53
+ | 2.1126 | 3.0 | 354 | 1.8694 |
54
+ | 1.876 | 4.0 | 472 | 1.6568 |
55
+ | 1.7065 | 5.0 | 590 | 1.4957 |
56
+ | 1.5683 | 6.0 | 708 | 1.3876 |
57
+ | 1.4668 | 7.0 | 826 | 1.2463 |
58
+ | 1.3944 | 8.0 | 944 | 1.1932 |
59
+ | 1.3293 | 9.0 | 1062 | 1.1352 |
60
+ | 1.2829 | 10.0 | 1180 | 1.0887 |
61
+ | 1.2362 | 11.0 | 1298 | 1.1093 |
62
+ | 1.2191 | 12.0 | 1416 | 1.0905 |
63
+ | 1.1809 | 13.0 | 1534 | 0.9914 |
64
+ | 1.1603 | 14.0 | 1652 | 1.0113 |
65
+ | 1.1339 | 15.0 | 1770 | 0.9651 |
66
+ | 1.0994 | 16.0 | 1888 | 0.9355 |
67
+ | 1.0959 | 17.0 | 2006 | 0.9237 |
68
+ | 1.0674 | 18.0 | 2124 | 0.9028 |
69
+ | 1.0416 | 19.0 | 2242 | 0.9198 |
70
+ | 1.0348 | 20.0 | 2360 | 0.8900 |
71
+ | 1.018 | 21.0 | 2478 | 0.8703 |
72
+ | 1.0019 | 22.0 | 2596 | 0.8657 |
73
+ | 0.9846 | 23.0 | 2714 | 0.8442 |
74
+ | 0.9841 | 24.0 | 2832 | 0.8378 |
75
+ | 0.9667 | 25.0 | 2950 | 0.8470 |
76
+ | 0.9666 | 26.0 | 3068 | 0.8476 |
77
+ | 0.9344 | 27.0 | 3186 | 0.8197 |
78
+ | 0.9365 | 28.0 | 3304 | 0.8152 |
79
+ | 0.9251 | 29.0 | 3422 | 0.8256 |
80
+ | 0.9141 | 30.0 | 3540 | 0.8159 |
81
+ | 0.9059 | 31.0 | 3658 | 0.8243 |
82
+ | 0.8847 | 32.0 | 3776 | 0.7897 |
83
+ | 0.8963 | 33.0 | 3894 | 0.7989 |
84
+ | 0.8704 | 34.0 | 4012 | 0.8165 |
85
+ | 0.86 | 35.0 | 4130 | 0.7632 |
86
+ | 0.8559 | 36.0 | 4248 | 0.7911 |
87
+ | 0.8392 | 37.0 | 4366 | 0.7706 |
88
+ | 0.8365 | 38.0 | 4484 | 0.7750 |
89
+ | 0.832 | 39.0 | 4602 | 0.7844 |
90
+ | 0.8162 | 40.0 | 4720 | 0.7742 |
91
+ | 0.8173 | 41.0 | 4838 | 0.7999 |
92
+ | 0.8118 | 42.0 | 4956 | 0.7785 |
93
+ | 0.8079 | 43.0 | 5074 | 0.7740 |
94
+ | 0.8034 | 44.0 | 5192 | 0.7953 |
95
+ | 0.7932 | 45.0 | 5310 | 0.7781 |
96
+ | 0.7819 | 46.0 | 5428 | 0.7648 |
97
+ | 0.7752 | 47.0 | 5546 | 0.7534 |
98
+ | 0.7664 | 48.0 | 5664 | 0.7998 |
99
+ | 0.7594 | 49.0 | 5782 | 0.7598 |
100
+ | 0.7427 | 50.0 | 5900 | 0.7927 |
101
+ | 0.7348 | 51.0 | 6018 | 0.7749 |
102
+ | 0.7299 | 52.0 | 6136 | 0.7640 |
103
+ | 0.7231 | 53.0 | 6254 | 0.7741 |
104
+ | 0.7317 | 54.0 | 6372 | 0.7799 |
105
+ | 0.7229 | 55.0 | 6490 | 0.7809 |
106
+ | 0.7087 | 56.0 | 6608 | 0.7790 |
107
+ | 0.7185 | 57.0 | 6726 | 0.8130 |
108
+ | 0.6927 | 58.0 | 6844 | 0.7828 |
109
+ | 0.6907 | 59.0 | 6962 | 0.8168 |
110
+ | 0.6798 | 60.0 | 7080 | 0.8033 |
111
+ | 0.6716 | 61.0 | 7198 | 0.8080 |
112
+ | 0.6446 | 62.0 | 7316 | 0.7948 |
113
+ | 0.6629 | 63.0 | 7434 | 0.8279 |
114
+ | 0.6546 | 64.0 | 7552 | 0.8294 |
115
+ | 0.6408 | 65.0 | 7670 | 0.8273 |
116
+ | 0.641 | 66.0 | 7788 | 0.8313 |
117
+ | 0.6263 | 67.0 | 7906 | 0.8285 |
118
+ | 0.6297 | 68.0 | 8024 | 0.8676 |
119
+ | 0.6222 | 69.0 | 8142 | 0.8219 |
120
+ | 0.6271 | 70.0 | 8260 | 0.8371 |
121
+ | 0.6069 | 71.0 | 8378 | 0.8536 |
122
+ | 0.6094 | 72.0 | 8496 | 0.8604 |
123
+ | 0.6054 | 73.0 | 8614 | 0.8659 |
124
+ | 0.611 | 74.0 | 8732 | 0.8663 |
125
+ | 0.599 | 75.0 | 8850 | 0.8261 |
126
+ | 0.585 | 76.0 | 8968 | 0.8679 |
127
+ | 0.5897 | 77.0 | 9086 | 0.8482 |
128
+ | 0.5628 | 78.0 | 9204 | 0.8533 |
129
+ | 0.5813 | 79.0 | 9322 | 0.8666 |
130
+ | 0.5603 | 80.0 | 9440 | 0.9133 |
131
+ | 0.5576 | 81.0 | 9558 | 0.8744 |
132
+ | 0.5434 | 82.0 | 9676 | 0.8602 |
133
+ | 0.5488 | 83.0 | 9794 | 0.8736 |
134
+ | 0.5379 | 84.0 | 9912 | 0.8815 |
135
+ | 0.5341 | 85.0 | 10030 | 0.8869 |
136
+ | 0.5478 | 86.0 | 10148 | 0.8863 |
137
+ | 0.5297 | 87.0 | 10266 | 0.9000 |
138
+ | 0.5254 | 88.0 | 10384 | 0.8727 |
139
+ | 0.5206 | 89.0 | 10502 | 0.8897 |
140
+ | 0.5229 | 90.0 | 10620 | 0.9020 |
141
+ | 0.5113 | 91.0 | 10738 | 0.9263 |
142
+ | 0.5065 | 92.0 | 10856 | 0.9056 |
143
+ | 0.5031 | 93.0 | 10974 | 0.9209 |
144
+ | 0.5119 | 94.0 | 11092 | 0.9067 |
145
+ | 0.4991 | 95.0 | 11210 | 0.9068 |
146
+ | 0.4965 | 96.0 | 11328 | 0.9287 |
147
+ | 0.4992 | 97.0 | 11446 | 0.9191 |
148
+ | 0.5042 | 98.0 | 11564 | 0.8950 |
149
+ | 0.4908 | 99.0 | 11682 | 0.9175 |
150
+ | 0.4873 | 100.0 | 11800 | 0.9157 |
151
 
152
 
153
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c00298fa5d301cc9bbab22f9ab5a6ace1c7e9d9739a3395361ffbd31ae70eaab
3
  size 174080824
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:748f1da68755a1a6f3f205622323bd99f0f6ad3d78329c2db5d4ee36a54424d9
3
  size 174080824
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cf435be25979bff89d97641bad1013d06c9d879f12cffdc731112577cf0ece4f
3
  size 5176
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68c6a9ae427b68e3f3eab32539bd48574f5c09f23b57dc9c65be2504a7d120d9
3
  size 5176