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: 3.7903
+- Mean Iou: 0.0583
+- Mean Accuracy: 0.1188
+- Overall Accuracy: 0.5138
+- Accuracy Unlabeled: nan
+- Accuracy Flat-road: 0.3738
+- Accuracy Flat-sidewalk: 0.8070
+- Accuracy Flat-crosswalk: 0.2760
+- Accuracy Flat-cyclinglane: 0.0412
+- Accuracy Flat-parkingdriveway: 0.0002
+- Accuracy Flat-railtrack: nan
+- Accuracy Flat-curb: 0.0013
+- Accuracy Human-person: 0.0073
+- Accuracy Human-rider: 0.0
+- Accuracy Vehicle-car: 0.9825
+- Accuracy Vehicle-truck: 0.0
+- Accuracy Vehicle-bus: 0.0
+- Accuracy Vehicle-tramtrain: nan
+- Accuracy Vehicle-motorcycle: 0.0
+- Accuracy Vehicle-bicycle: 0.0
+- Accuracy Vehicle-caravan: 0.0
+- Accuracy Vehicle-cartrailer: 0.0
+- Accuracy Construction-building: 0.0098
+- Accuracy Construction-door: 0.1165
+- Accuracy Construction-wall: 0.0000
+- Accuracy Construction-fenceguardrail: 0.0
+- Accuracy Construction-bridge: 0.0
+- Accuracy Construction-tunnel: nan
+- Accuracy Construction-stairs: 0.0659
+- Accuracy Object-pole: 0.0438
+- Accuracy Object-trafficsign: 0.0
+- Accuracy Object-trafficlight: 0.0
+- Accuracy Nature-vegetation: 0.9260
+- Accuracy Nature-terrain: 0.0287
+- Accuracy Sky: 0.0
+- Accuracy Void-ground: 0.0
+- Accuracy Void-dynamic: 0.0
+- Accuracy Void-static: 0.0036
+- Accuracy Void-unclear: 0.0
+- Iou Unlabeled: 0.0
+- Iou Flat-road: 0.2457
+- Iou Flat-sidewalk: 0.6862
+- Iou Flat-crosswalk: 0.0806
+- Iou Flat-cyclinglane: 0.0394
+- Iou Flat-parkingdriveway: 0.0001
+- Iou Flat-railtrack: 0.0
+- Iou Flat-curb: 0.0013
+- Iou Human-person: 0.0044
+- Iou Human-rider: 0.0
+- Iou Vehicle-car: 0.3160
+- Iou Vehicle-truck: 0.0
+- Iou Vehicle-bus: 0.0
+- Iou Vehicle-tramtrain: 0.0
+- Iou Vehicle-motorcycle: 0.0
+- Iou Vehicle-bicycle: 0.0
+- Iou Vehicle-caravan: 0.0
+- Iou Vehicle-cartrailer: 0.0
+- Iou Construction-building: 0.0096
+- Iou Construction-door: 0.0317
+- Iou Construction-wall: 0.0000
+- Iou Construction-fenceguardrail: 0.0
+- Iou Construction-bridge: 0.0
+- Iou Construction-tunnel: 0.0
+- Iou Construction-stairs: 0.0103
+- Iou Object-pole: 0.0226
+- Iou Object-trafficsign: 0.0
+- Iou Object-trafficlight: 0.0
+- Iou Nature-vegetation: 0.5656
+- Iou Nature-terrain: 0.0255
+- Iou Sky: 0.0
+- Iou Void-ground: 0.0
+- Iou Void-dynamic: 0.0
+- Iou Void-static: 0.0031
+- Iou Void-unclear: 0.0
 
 ## Model description
 

all_results.json

@@ -1,85 +1,85 @@
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     "train_steps_per_second": 0.057
 }

eval_results.json

@@ -1,80 +1,80 @@
 {
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 }

runs/Nov28_13-37-11_dlcgpu01/events.out.tfevents.1732797751.dlcgpu01.29662.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4857952078ce8c57b926bdf577eb80da069b9b33f901d56623d25200b97db887
+size 4961

train_results.json

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 {
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+    "train_runtime": 176.0423,
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     "train_steps_per_second": 0.057
 }

trainer_state.json

@@ -11,91 +11,91 @@
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       "eval_accuracy_flat-railtrack": NaN,
-      "eval_accuracy_flat-road": 0.06881805350704559,
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