Hugging Face's logo

amyeroberts
/
detr-resnet-50-base-coco

Object Detection
Transformers
PyTorch
TensorBoard
detr
vision
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
1
amyeroberts HF staff commited on
Commit
70a38b4
•
1 Parent(s): 6dafaec

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +53 -55
README.md CHANGED
@@ -2,8 +2,6 @@
2
  license: apache-2.0
3
  base_model: facebook/detr-resnet-50
4
  tags:
5
- - object-detection
6
- - vision
7
  - generated_from_trainer
8
  model-index:
9
  - name: detr-resnet-50-base-coco
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # detr-resnet-50-base-coco
17
 
18
- This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the detection-datasets/coco dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 6388.0259
21
 
22
  ## Model description
23
 
@@ -36,7 +34,7 @@ More information needed
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
- - learning_rate: 5e-05
40
  - train_batch_size: 8
41
  - eval_batch_size: 8
42
  - seed: 1337
@@ -48,56 +46,56 @@ The following hyperparameters were used during training:
48
 
49
  | Training Loss | Epoch | Step | Validation Loss |
50
  |:-------------:|:-----:|:----:|:---------------:|
51
- | No log | 1.0 | 4 | 6397.6270 |
52
- | No log | 2.0 | 8 | 6396.9526 |
53
- | 6175.4402 | 3.0 | 12 | 6396.9136 |
54
- | 6175.4402 | 4.0 | 16 | 6396.2993 |
55
- | 6291.4262 | 5.0 | 20 | 6395.5557 |
56
- | 6291.4262 | 6.0 | 24 | 6394.5957 |
57
- | 6291.4262 | 7.0 | 28 | 6393.7290 |
58
- | 6228.9867 | 8.0 | 32 | 6393.1914 |
59
- | 6228.9867 | 9.0 | 36 | 6392.2837 |
60
- | 6087.3184 | 10.0 | 40 | 6391.6709 |
61
- | 6087.3184 | 11.0 | 44 | 6390.7271 |
62
- | 6087.3184 | 12.0 | 48 | 6389.6670 |
63
- | 6263.3945 | 13.0 | 52 | 6389.4907 |
64
- | 6263.3945 | 14.0 | 56 | 6388.8540 |
65
- | 6378.8203 | 15.0 | 60 | 6388.6978 |
66
- | 6378.8203 | 16.0 | 64 | 6388.6611 |
67
- | 6378.8203 | 17.0 | 68 | 6388.5430 |
68
- | 6319.1008 | 18.0 | 72 | 6388.4219 |
69
- | 6319.1008 | 19.0 | 76 | 6388.5059 |
70
- | 6258.6707 | 20.0 | 80 | 6388.3950 |
71
- | 6258.6707 | 21.0 | 84 | 6388.3042 |
72
- | 6258.6707 | 22.0 | 88 | 6388.2788 |
73
- | 6290.5227 | 23.0 | 92 | 6388.2700 |
74
- | 6290.5227 | 24.0 | 96 | 6388.3994 |
75
- | 6450.2746 | 25.0 | 100 | 6388.4180 |
76
- | 6450.2746 | 26.0 | 104 | 6388.2329 |
77
- | 6450.2746 | 27.0 | 108 | 6388.3062 |
78
- | 6321.6988 | 28.0 | 112 | 6388.2568 |
79
- | 6321.6988 | 29.0 | 116 | 6388.1333 |
80
- | 6468.3922 | 30.0 | 120 | 6388.1660 |
81
- | 6468.3922 | 31.0 | 124 | 6388.1528 |
82
- | 6468.3922 | 32.0 | 128 | 6388.1211 |
83
- | 6305.5602 | 33.0 | 132 | 6388.0972 |
84
- | 6305.5602 | 34.0 | 136 | 6388.0776 |
85
- | 6349.5672 | 35.0 | 140 | 6388.0493 |
86
- | 6349.5672 | 36.0 | 144 | 6388.0317 |
87
- | 6349.5672 | 37.0 | 148 | 6388.0259 |
88
- | 6244.9891 | 38.0 | 152 | 6388.0371 |
89
- | 6244.9891 | 39.0 | 156 | 6388.0273 |
90
- | 6383.7191 | 40.0 | 160 | 6388.1465 |
91
- | 6383.7191 | 41.0 | 164 | 6388.2505 |
92
- | 6383.7191 | 42.0 | 168 | 6388.1260 |
93
- | 6260.3203 | 43.0 | 172 | 6388.0518 |
94
- | 6260.3203 | 44.0 | 176 | 6388.0322 |
95
- | 6254.6055 | 45.0 | 180 | 6388.0625 |
96
- | 6254.6055 | 46.0 | 184 | 6388.0688 |
97
- | 6254.6055 | 47.0 | 188 | 6388.0601 |
98
- | 6351.991 | 48.0 | 192 | 6388.0825 |
99
- | 6351.991 | 49.0 | 196 | 6388.0938 |
100
- | 6209.7984 | 50.0 | 200 | 6388.0923 |
101
 
102
 
103
  ### Framework versions
 
2
  license: apache-2.0
3
  base_model: facebook/detr-resnet-50
4
  tags:
 
 
5
  - generated_from_trainer
6
  model-index:
7
  - name: detr-resnet-50-base-coco
 
13
 
14
  # detr-resnet-50-base-coco
15
 
16
+ This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 6389.5527
19
 
20
  ## Model description
21
 
 
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
+ - learning_rate: 2e-05
38
  - train_batch_size: 8
39
  - eval_batch_size: 8
40
  - seed: 1337
 
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | No log | 1.0 | 4 | 6398.5273 |
50
+ | No log | 2.0 | 8 | 6397.9268 |
51
+ | 6175.8695 | 3.0 | 12 | 6397.2480 |
52
+ | 6175.8695 | 4.0 | 16 | 6396.5649 |
53
+ | 6292.1676 | 5.0 | 20 | 6396.0669 |
54
+ | 6292.1676 | 6.0 | 24 | 6395.6597 |
55
+ | 6292.1676 | 7.0 | 28 | 6395.2739 |
56
+ | 6230.1191 | 8.0 | 32 | 6394.8906 |
57
+ | 6230.1191 | 9.0 | 36 | 6394.6680 |
58
+ | 6089.0629 | 10.0 | 40 | 6394.5151 |
59
+ | 6089.0629 | 11.0 | 44 | 6394.3691 |
60
+ | 6089.0629 | 12.0 | 48 | 6394.3931 |
61
+ | 6266.6961 | 13.0 | 52 | 6394.3232 |
62
+ | 6266.6961 | 14.0 | 56 | 6394.1572 |
63
+ | 6383.0688 | 15.0 | 60 | 6394.1558 |
64
+ | 6383.0688 | 16.0 | 64 | 6393.9531 |
65
+ | 6383.0688 | 17.0 | 68 | 6393.7720 |
66
+ | 6323.732 | 18.0 | 72 | 6393.6050 |
67
+ | 6323.732 | 19.0 | 76 | 6393.5107 |
68
+ | 6262.8367 | 20.0 | 80 | 6393.2305 |
69
+ | 6262.8367 | 21.0 | 84 | 6393.0869 |
70
+ | 6262.8367 | 22.0 | 88 | 6392.7910 |
71
+ | 6294.5953 | 23.0 | 92 | 6392.6079 |
72
+ | 6294.5953 | 24.0 | 96 | 6392.4634 |
73
+ | 6454.1902 | 25.0 | 100 | 6392.3086 |
74
+ | 6454.1902 | 26.0 | 104 | 6392.1982 |
75
+ | 6454.1902 | 27.0 | 108 | 6391.9668 |
76
+ | 6325.2328 | 28.0 | 112 | 6391.6533 |
77
+ | 6325.2328 | 29.0 | 116 | 6391.3481 |
78
+ | 6471.3637 | 30.0 | 120 | 6391.0474 |
79
+ | 6471.3637 | 31.0 | 124 | 6390.9409 |
80
+ | 6471.3637 | 32.0 | 128 | 6390.8198 |
81
+ | 6308.2656 | 33.0 | 132 | 6390.6738 |
82
+ | 6308.2656 | 34.0 | 136 | 6390.6689 |
83
+ | 6352.0371 | 35.0 | 140 | 6390.6245 |
84
+ | 6352.0371 | 36.0 | 144 | 6390.5791 |
85
+ | 6352.0371 | 37.0 | 148 | 6390.4199 |
86
+ | 6247.1492 | 38.0 | 152 | 6390.2305 |
87
+ | 6247.1492 | 39.0 | 156 | 6390.0776 |
88
+ | 6385.748 | 40.0 | 160 | 6389.9873 |
89
+ | 6385.748 | 41.0 | 164 | 6389.9185 |
90
+ | 6385.748 | 42.0 | 168 | 6389.8281 |
91
+ | 6262.0703 | 43.0 | 172 | 6389.75 |
92
+ | 6262.0703 | 44.0 | 176 | 6389.6792 |
93
+ | 6256.2105 | 45.0 | 180 | 6389.6377 |
94
+ | 6256.2105 | 46.0 | 184 | 6389.6201 |
95
+ | 6256.2105 | 47.0 | 188 | 6389.5728 |
96
+ | 6353.4496 | 48.0 | 192 | 6389.5518 |
97
+ | 6353.4496 | 49.0 | 196 | 6389.5415 |
98
+ | 6211.1777 | 50.0 | 200 | 6389.5527 |
99
 
100
 
101
  ### Framework versions