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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@@ -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: 1.9677
-- Map: 0.0546
-- Map 50: 0.103
-- Map 75: 0.0504
-- Map Small: 0.0092
-- Map Medium: 0.0513
-- Map Large: 0.053
-- Mar 1: 0.099
-- Mar 10: 0.2024
-- Mar 100: 0.2506
-- Mar Small: 0.1343
-- Mar Medium: 0.1925
-- Mar Large: 0.2414
-- Map Coverall: 0.233
-- Mar 100 Coverall: 0.7017
-- Map Face Shield: 0.0
-- Mar 100 Face Shield: 0.0
-- Map Gloves: 0.0047
-- Mar 100 Gloves: 0.2792
 - Map Goggles: 0.0
 - Mar 100 Goggles: 0.0
-- Map Mask: 0.0352
-- Mar 100 Mask: 0.272
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
-| No log        | 1.0   | 107  | 2.0994          | 0.0445 | 0.0869 | 0.04   | 0.0045    | 0.0347     | 0.0464    | 0.0794 | 0.1672 | 0.2137  | 0.0881    | 0.1491     | 0.221     | 0.199        | 0.6589           | 0.0             | 0.0                 | 0.0019     | 0.2107         | 0.0         | 0.0             | 0.0217   | 0.1989       |
-| No log        | 2.0   | 214  | 1.9677          | 0.0546 | 0.103  | 0.0504 | 0.0092    | 0.0513     | 0.053     | 0.099  | 0.2024 | 0.2506  | 0.1343    | 0.1925     | 0.2414    | 0.233        | 0.7017           | 0.0             | 0.0                 | 0.0047     | 0.2792         | 0.0         | 0.0             | 0.0352   | 0.272        |
 ### 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: 1.9388
+- 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
 | 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