hchcsuim
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detr-resnet-50_finetuned_cppe5

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detr

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hchcsuim commited on Sep 2, 2024

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1 Parent(s): 2d6efa8

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@@ -15,29 +15,29 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9388
-- Map: 0.0646
-- Map 50: 0.115
-- Map 75: 0.0653
-- Map Small: 0.0067
-- Map Medium: 0.0637
-- Map Large: 0.0632
-- Mar 1: 0.0913
-- Mar 10: 0.2065
-- Mar 100: 0.2581
-- Mar Small: 0.1571
-- Mar Medium: 0.2236
-- Mar Large: 0.2439
-- Map Coverall: 0.2825
-- Mar 100 Coverall: 0.6822
-- Map Face Shield: 0.0069
-- Mar 100 Face Shield: 0.0113
-- Map Gloves: 0.0224
-- Mar 100 Gloves: 0.2854
 - Map Goggles: 0.0
 - Mar 100 Goggles: 0.0
-- Map Mask: 0.011
-- Mar 100 Mask: 0.3116
 ## Model description
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 | 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 Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
-| 2.6043        | 1.0   | 107  | 2.0664          | 0.0555 | 0.0964 | 0.0513 | 0.0042    | 0.0444     | 0.0583    | 0.0737 | 0.1675 | 0.235   | 0.1427    | 0.199      | 0.2195    | 0.261        | 0.6383           | 0.0007          | 0.0097              | 0.0101     | 0.2382         | 0.0         | 0.0             | 0.0059   | 0.2889       |
-| 2.077         | 2.0   | 214  | 1.9388          | 0.0646 | 0.115  | 0.0653 | 0.0067    | 0.0637     | 0.0632    | 0.0913 | 0.2065 | 0.2581  | 0.1571    | 0.2236     | 0.2439    | 0.2825       | 0.6822           | 0.0069          | 0.0113              | 0.0224     | 0.2854         | 0.0         | 0.0             | 0.011    | 0.3116       |
 ### Framework versions

 This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.9955
+- Map: 0.0411
+- Map 50: 0.0772
+- Map 75: 0.039
+- Map Small: 0.0115
+- Map Medium: 0.0697
+- Map Large: 0.0393
+- Mar 1: 0.1019
+- Mar 10: 0.1856
+- Mar 100: 0.2512
+- Mar Small: 0.1753
+- Mar Medium: 0.198
+- Mar Large: 0.2287
+- Map Coverall: 0.1697
+- Mar 100 Coverall: 0.7308
+- Map Face Shield: 0.0
+- Mar 100 Face Shield: 0.0
+- Map Gloves: 0.0142
+- Mar 100 Gloves: 0.2446
 - Map Goggles: 0.0
 - Mar 100 Goggles: 0.0
+- Map Mask: 0.0219
+- Mar 100 Mask: 0.2805
 ## Model description
 | 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 Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
+| 2.5336        | 1.0   | 113  | 2.0865          | 0.0339 | 0.0619 | 0.0331 | 0.0065    | 0.0165     | 0.037     | 0.0787 | 0.1585 | 0.2087  | 0.0948    | 0.1537     | 0.2152    | 0.1504       | 0.6957           | 0.0             | 0.0                 | 0.0028     | 0.1125         | 0.0         | 0.0             | 0.0165   | 0.2352       |
+| 2.1741        | 2.0   | 226  | 1.9955          | 0.0411 | 0.0772 | 0.039  | 0.0115    | 0.0697     | 0.0393    | 0.1019 | 0.1856 | 0.2512  | 0.1753    | 0.198      | 0.2287    | 0.1697       | 0.7308           | 0.0             | 0.0                 | 0.0142     | 0.2446         | 0.0         | 0.0             | 0.0219   | 0.2805       |
 ### Framework versions