End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: apache-2.0
 base_model: microsoft/beit-base-finetuned-ade-640-640
 tags:
+- image-segmentation
+- vision
 - generated_from_trainer
 model-index:
 - name: segformer-finetuned-sidewalk-10k-steps
@@ -14,7 +16,82 @@ should probably proofread and complete it, then remove this comment. -->
 
 # segformer-finetuned-sidewalk-10k-steps
 
-This model is a fine-tuned version of [microsoft/beit-base-finetuned-ade-640-640](https://huggingface.co/microsoft/beit-base-finetuned-ade-640-640) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/beit-base-finetuned-ade-640-640](https://huggingface.co/microsoft/beit-base-finetuned-ade-640-640) on the segments/sidewalk-semantic dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.7016
+- Mean Iou: 0.0657
+- Mean Accuracy: 0.1096
+- Overall Accuracy: 0.5747
+- Accuracy Unlabeled: nan
+- Accuracy Flat-road: 0.0688
+- Accuracy Flat-sidewalk: 0.9323
+- Accuracy Flat-crosswalk: 0.0208
+- Accuracy Flat-cyclinglane: 0.1128
+- Accuracy Flat-parkingdriveway: 0.0001
+- Accuracy Flat-railtrack: nan
+- Accuracy Flat-curb: 0.0000
+- Accuracy Human-person: 0.0036
+- Accuracy Human-rider: 0.0
+- Accuracy Vehicle-car: 0.0119
+- Accuracy Vehicle-truck: 0.0031
+- Accuracy Vehicle-bus: 0.0
+- Accuracy Vehicle-tramtrain: nan
+- Accuracy Vehicle-motorcycle: 0.0
+- Accuracy Vehicle-bicycle: 0.0041
+- Accuracy Vehicle-caravan: nan
+- Accuracy Vehicle-cartrailer: 0.0
+- Accuracy Construction-building: 0.8154
+- Accuracy Construction-door: 0.0
+- Accuracy Construction-wall: 0.0063
+- Accuracy Construction-fenceguardrail: 0.0003
+- Accuracy Construction-bridge: 0.0
+- Accuracy Construction-tunnel: 0.0
+- Accuracy Construction-stairs: 0.0
+- Accuracy Object-pole: 0.0000
+- Accuracy Object-trafficsign: 0.0
+- Accuracy Object-trafficlight: 0.0
+- Accuracy Nature-vegetation: 0.8720
+- Accuracy Nature-terrain: 0.4628
+- Accuracy Sky: 0.0239
+- Accuracy Void-ground: 0.0
+- Accuracy Void-dynamic: 0.0044
+- Accuracy Void-static: 0.0087
+- Accuracy Void-unclear: 0.0448
+- Iou Unlabeled: 0.0
+- Iou Flat-road: 0.0678
+- Iou Flat-sidewalk: 0.7148
+- Iou Flat-crosswalk: 0.0018
+- Iou Flat-cyclinglane: 0.0571
+- Iou Flat-parkingdriveway: 0.0001
+- Iou Flat-railtrack: 0.0
+- Iou Flat-curb: 0.0000
+- Iou Human-person: 0.0017
+- Iou Human-rider: 0.0
+- Iou Vehicle-car: 0.0117
+- Iou Vehicle-truck: 0.0002
+- Iou Vehicle-bus: 0.0
+- Iou Vehicle-tramtrain: 0.0
+- Iou Vehicle-motorcycle: 0.0
+- Iou Vehicle-bicycle: 0.0010
+- Iou Vehicle-caravan: 0.0
+- Iou Vehicle-cartrailer: 0.0
+- Iou Construction-building: 0.4872
+- Iou Construction-door: 0.0
+- Iou Construction-wall: 0.0048
+- Iou Construction-fenceguardrail: 0.0003
+- Iou Construction-bridge: 0.0
+- Iou Construction-tunnel: 0.0
+- Iou Construction-stairs: 0.0
+- Iou Object-pole: 0.0000
+- Iou Object-trafficsign: 0.0
+- Iou Object-trafficlight: 0.0
+- Iou Nature-vegetation: 0.5625
+- Iou Nature-terrain: 0.3569
+- Iou Sky: 0.0239
+- Iou Void-ground: 0.0
+- Iou Void-dynamic: 0.0028
+- Iou Void-static: 0.0055
+- Iou Void-unclear: 0.0001
 
 ## Model description
 

all_results.json

@@ -1,85 +1,85 @@
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 }

eval_results.json

@@ -1,80 +1,80 @@
 {
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     "eval_accuracy_construction-stairs": 0.0,
-    "eval_accuracy_construction-tunnel": NaN,
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 }

runs/Nov28_11-22-48_dlcgpu01/events.out.tfevents.1732789691.dlcgpu01.14651.1

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+oid sha256:fc740442cfdd7e4223e4768c0d926accc6fee7cb07663eabaf09ad916f26c29b
+size 4961

train_results.json

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 }

trainer_state.json

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