mrdbourke commited on
Commit
43bb0ef
·
verified ·
1 Parent(s): 3adc836

upload trashify box detection model trained on purely synthetic data

Browse files
Files changed (3) hide show
  1. README.md +104 -69
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.9083
19
 
20
  ## Model description
21
 
@@ -41,78 +41,113 @@ The following hyperparameters were used during training:
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
  - lr_scheduler_warmup_ratio: 0.05
44
- - num_epochs: 65
45
  - mixed_precision_training: Native AMP
46
 
47
  ### Training results
48
 
49
- | Training Loss | Epoch | Step | Validation Loss |
50
- |:-------------:|:-----:|:----:|:---------------:|
51
- | 44.0386 | 1.0 | 151 | 3.3514 |
52
- | 2.971 | 2.0 | 302 | 2.1088 |
53
- | 2.3962 | 3.0 | 453 | 1.7453 |
54
- | 2.1884 | 4.0 | 604 | 1.6585 |
55
- | 2.0579 | 5.0 | 755 | 1.5356 |
56
- | 1.9389 | 6.0 | 906 | 1.3899 |
57
- | 1.84 | 7.0 | 1057 | 1.3220 |
58
- | 1.7908 | 8.0 | 1208 | 1.3331 |
59
- | 1.7401 | 9.0 | 1359 | 1.2525 |
60
- | 1.693 | 10.0 | 1510 | 1.2702 |
61
- | 1.6575 | 11.0 | 1661 | 1.2409 |
62
- | 1.6297 | 12.0 | 1812 | 1.2529 |
63
- | 1.5917 | 13.0 | 1963 | 1.2338 |
64
- | 1.5689 | 14.0 | 2114 | 1.2121 |
65
- | 1.562 | 15.0 | 2265 | 1.1595 |
66
- | 1.5301 | 16.0 | 2416 | 1.1486 |
67
- | 1.5131 | 17.0 | 2567 | 1.1608 |
68
- | 1.5113 | 18.0 | 2718 | 1.1909 |
69
- | 1.4668 | 19.0 | 2869 | 1.1060 |
70
- | 1.4581 | 20.0 | 3020 | 1.0878 |
71
- | 1.4534 | 21.0 | 3171 | 1.0809 |
72
- | 1.4408 | 22.0 | 3322 | 1.0795 |
73
- | 1.4218 | 23.0 | 3473 | 1.0866 |
74
- | 1.4191 | 24.0 | 3624 | 1.0828 |
75
- | 1.3787 | 25.0 | 3775 | 1.0606 |
76
- | 1.4011 | 26.0 | 3926 | 1.0799 |
77
- | 1.3918 | 27.0 | 4077 | 1.0607 |
78
- | 1.3658 | 28.0 | 4228 | 1.0343 |
79
- | 1.3541 | 29.0 | 4379 | 1.0210 |
80
- | 1.3505 | 30.0 | 4530 | 1.0336 |
81
- | 1.3384 | 31.0 | 4681 | 1.0370 |
82
- | 1.3364 | 32.0 | 4832 | 1.0354 |
83
- | 1.338 | 33.0 | 4983 | 1.0171 |
84
- | 1.3133 | 34.0 | 5134 | 1.0163 |
85
- | 1.3007 | 35.0 | 5285 | 1.0103 |
86
- | 1.2945 | 36.0 | 5436 | 1.0145 |
87
- | 1.2733 | 37.0 | 5587 | 0.9952 |
88
- | 1.2769 | 38.0 | 5738 | 0.9860 |
89
- | 1.2637 | 39.0 | 5889 | 0.9808 |
90
- | 1.2625 | 40.0 | 6040 | 0.9830 |
91
- | 1.2475 | 41.0 | 6191 | 0.9962 |
92
- | 1.2459 | 42.0 | 6342 | 0.9812 |
93
- | 1.2223 | 43.0 | 6493 | 0.9744 |
94
- | 1.221 | 44.0 | 6644 | 0.9517 |
95
- | 1.2107 | 45.0 | 6795 | 0.9502 |
96
- | 1.2097 | 46.0 | 6946 | 0.9539 |
97
- | 1.1958 | 47.0 | 7097 | 0.9488 |
98
- | 1.189 | 48.0 | 7248 | 0.9355 |
99
- | 1.1668 | 49.0 | 7399 | 0.9503 |
100
- | 1.1792 | 50.0 | 7550 | 0.9493 |
101
- | 1.1569 | 51.0 | 7701 | 0.9413 |
102
- | 1.1684 | 52.0 | 7852 | 0.9303 |
103
- | 1.1559 | 53.0 | 8003 | 0.9198 |
104
- | 1.1482 | 54.0 | 8154 | 0.9214 |
105
- | 1.1483 | 55.0 | 8305 | 0.9274 |
106
- | 1.1344 | 56.0 | 8456 | 0.9264 |
107
- | 1.1293 | 57.0 | 8607 | 0.9202 |
108
- | 1.1279 | 58.0 | 8758 | 0.9213 |
109
- | 1.1257 | 59.0 | 8909 | 0.9143 |
110
- | 1.1012 | 60.0 | 9060 | 0.9166 |
111
- | 1.1033 | 61.0 | 9211 | 0.9119 |
112
- | 1.1067 | 62.0 | 9362 | 0.9116 |
113
- | 1.1062 | 63.0 | 9513 | 0.9097 |
114
- | 1.0934 | 64.0 | 9664 | 0.9092 |
115
- | 1.108 | 65.0 | 9815 | 0.9083 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
116
 
117
 
118
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.8292
19
 
20
  ## Model description
21
 
 
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
  - lr_scheduler_warmup_ratio: 0.05
44
+ - num_epochs: 100
45
  - mixed_precision_training: Native AMP
46
 
47
  ### Training results
48
 
49
+ | Training Loss | Epoch | Step | Validation Loss |
50
+ |:-------------:|:-----:|:-----:|:---------------:|
51
+ | 47.9307 | 1.0 | 151 | 3.7270 |
52
+ | 2.9183 | 2.0 | 302 | 2.1431 |
53
+ | 2.0809 | 3.0 | 453 | 1.5949 |
54
+ | 1.6817 | 4.0 | 604 | 1.2977 |
55
+ | 1.5111 | 5.0 | 755 | 1.1754 |
56
+ | 1.4827 | 6.0 | 906 | 1.2093 |
57
+ | 1.4104 | 7.0 | 1057 | 1.1245 |
58
+ | 1.3974 | 8.0 | 1208 | 1.1345 |
59
+ | 1.3833 | 9.0 | 1359 | 1.0921 |
60
+ | 1.3964 | 10.0 | 1510 | 1.1397 |
61
+ | 1.3626 | 11.0 | 1661 | 1.0392 |
62
+ | 1.3321 | 12.0 | 1812 | 1.0339 |
63
+ | 1.3478 | 13.0 | 1963 | 1.0831 |
64
+ | 1.3223 | 14.0 | 2114 | 1.0881 |
65
+ | 1.3128 | 15.0 | 2265 | 1.0432 |
66
+ | 1.3079 | 16.0 | 2416 | 1.0585 |
67
+ | 1.2738 | 17.0 | 2567 | 1.0196 |
68
+ | 1.27 | 18.0 | 2718 | 0.9945 |
69
+ | 1.2396 | 19.0 | 2869 | 0.9707 |
70
+ | 1.2669 | 20.0 | 3020 | 1.0081 |
71
+ | 1.24 | 21.0 | 3171 | 0.9685 |
72
+ | 1.2028 | 22.0 | 3322 | 0.9739 |
73
+ | 1.2123 | 23.0 | 3473 | 0.9891 |
74
+ | 1.212 | 24.0 | 3624 | 0.9930 |
75
+ | 1.1998 | 25.0 | 3775 | 0.9591 |
76
+ | 1.1869 | 26.0 | 3926 | 0.9751 |
77
+ | 1.1942 | 27.0 | 4077 | 0.9734 |
78
+ | 1.1895 | 28.0 | 4228 | 0.9486 |
79
+ | 1.191 | 29.0 | 4379 | 0.9523 |
80
+ | 1.1749 | 30.0 | 4530 | 0.9293 |
81
+ | 1.1729 | 31.0 | 4681 | 0.9333 |
82
+ | 1.1641 | 32.0 | 4832 | 0.9146 |
83
+ | 1.1402 | 33.0 | 4983 | 0.9348 |
84
+ | 1.156 | 34.0 | 5134 | 0.9283 |
85
+ | 1.1562 | 35.0 | 5285 | 0.9428 |
86
+ | 1.1273 | 36.0 | 5436 | 0.9155 |
87
+ | 1.1258 | 37.0 | 5587 | 0.9424 |
88
+ | 1.1467 | 38.0 | 5738 | 0.9435 |
89
+ | 1.1284 | 39.0 | 5889 | 0.9089 |
90
+ | 1.1113 | 40.0 | 6040 | 0.9038 |
91
+ | 1.1025 | 41.0 | 6191 | 0.8817 |
92
+ | 1.0797 | 42.0 | 6342 | 0.8926 |
93
+ | 1.0803 | 43.0 | 6493 | 0.8805 |
94
+ | 1.0867 | 44.0 | 6644 | 0.8845 |
95
+ | 1.0646 | 45.0 | 6795 | 0.8696 |
96
+ | 1.0766 | 46.0 | 6946 | 0.8768 |
97
+ | 1.0653 | 47.0 | 7097 | 0.8643 |
98
+ | 1.0615 | 48.0 | 7248 | 0.8796 |
99
+ | 1.0514 | 49.0 | 7399 | 0.8712 |
100
+ | 1.0423 | 50.0 | 7550 | 0.8654 |
101
+ | 1.0291 | 51.0 | 7701 | 0.8345 |
102
+ | 1.046 | 52.0 | 7852 | 0.8521 |
103
+ | 1.0095 | 53.0 | 8003 | 0.8407 |
104
+ | 1.028 | 54.0 | 8154 | 0.8673 |
105
+ | 0.9932 | 55.0 | 8305 | 0.8398 |
106
+ | 0.9966 | 56.0 | 8456 | 0.8441 |
107
+ | 0.9961 | 57.0 | 8607 | 0.8362 |
108
+ | 0.9902 | 58.0 | 8758 | 0.8379 |
109
+ | 0.9802 | 59.0 | 8909 | 0.8337 |
110
+ | 0.9806 | 60.0 | 9060 | 0.8284 |
111
+ | 0.9671 | 61.0 | 9211 | 0.8259 |
112
+ | 0.9627 | 62.0 | 9362 | 0.8297 |
113
+ | 0.9535 | 63.0 | 9513 | 0.8434 |
114
+ | 0.953 | 64.0 | 9664 | 0.8236 |
115
+ | 0.9444 | 65.0 | 9815 | 0.8190 |
116
+ | 0.9329 | 66.0 | 9966 | 0.8189 |
117
+ | 0.9461 | 67.0 | 10117 | 0.8255 |
118
+ | 0.9235 | 68.0 | 10268 | 0.8205 |
119
+ | 0.9328 | 69.0 | 10419 | 0.8311 |
120
+ | 0.9128 | 70.0 | 10570 | 0.8234 |
121
+ | 0.9007 | 71.0 | 10721 | 0.8207 |
122
+ | 0.9064 | 72.0 | 10872 | 0.8331 |
123
+ | 0.8921 | 73.0 | 11023 | 0.8198 |
124
+ | 0.8883 | 74.0 | 11174 | 0.8236 |
125
+ | 0.8919 | 75.0 | 11325 | 0.8233 |
126
+ | 0.89 | 76.0 | 11476 | 0.8205 |
127
+ | 0.8815 | 77.0 | 11627 | 0.8196 |
128
+ | 0.8949 | 78.0 | 11778 | 0.8284 |
129
+ | 0.8816 | 79.0 | 11929 | 0.8186 |
130
+ | 0.8641 | 80.0 | 12080 | 0.8247 |
131
+ | 0.8697 | 81.0 | 12231 | 0.8133 |
132
+ | 0.8641 | 82.0 | 12382 | 0.8247 |
133
+ | 0.8437 | 83.0 | 12533 | 0.8293 |
134
+ | 0.8503 | 84.0 | 12684 | 0.8229 |
135
+ | 0.8446 | 85.0 | 12835 | 0.8158 |
136
+ | 0.835 | 86.0 | 12986 | 0.8099 |
137
+ | 0.8328 | 87.0 | 13137 | 0.8143 |
138
+ | 0.8332 | 88.0 | 13288 | 0.8273 |
139
+ | 0.8316 | 89.0 | 13439 | 0.8336 |
140
+ | 0.8223 | 90.0 | 13590 | 0.8273 |
141
+ | 0.8097 | 91.0 | 13741 | 0.8208 |
142
+ | 0.8063 | 92.0 | 13892 | 0.8248 |
143
+ | 0.7967 | 93.0 | 14043 | 0.8263 |
144
+ | 0.7916 | 94.0 | 14194 | 0.8302 |
145
+ | 0.7918 | 95.0 | 14345 | 0.8303 |
146
+ | 0.7935 | 96.0 | 14496 | 0.8321 |
147
+ | 0.8028 | 97.0 | 14647 | 0.8300 |
148
+ | 0.7961 | 98.0 | 14798 | 0.8301 |
149
+ | 0.7773 | 99.0 | 14949 | 0.8285 |
150
+ | 0.7741 | 100.0 | 15100 | 0.8292 |
151
 
152
 
153
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:482c56acc91ee8276d9184725514c4ceb4d5ddac263179656fc7312a46b699c0
3
  size 174080824
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5254c6fef814500a0b1dbb10c956981185477e72856db40aaa84cfe4f53bb83a
3
  size 174080824
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c0b3bbbc2e786a44fb5a7a3bd43feca4cac8d3c00426d7c16d934532454ab9e5
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b072b1e2341c502ff15e905bd41cceb74d6eb2926326e6507c19c73bfd9c3d4
3
  size 5240