Model save

README.md

@@ -3,8 +3,6 @@ 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
@@ -16,82 +14,7 @@ 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 the segments/sidewalk-semantic dataset.
-It achieves the following results on the evaluation set:
-- Loss: 4.3689
-- Mean Iou: 0.0246
-- Mean Accuracy: 0.0522
-- Overall Accuracy: 0.3811
-- Accuracy Unlabeled: nan
-- Accuracy Flat-road: 0.0001
-- Accuracy Flat-sidewalk: 0.9230
-- Accuracy Flat-crosswalk: 0.0006
-- Accuracy Flat-cyclinglane: 0.0
-- Accuracy Flat-parkingdriveway: 0.0
-- Accuracy Flat-railtrack: nan
-- Accuracy Flat-curb: 0.0001
-- Accuracy Human-person: 0.0
-- Accuracy Human-rider: 0.0
-- Accuracy Vehicle-car: 0.2010
-- Accuracy Vehicle-truck: 0.0
-- Accuracy Vehicle-bus: 0.0
-- Accuracy Vehicle-tramtrain: 0.0
-- Accuracy Vehicle-motorcycle: 0.0
-- Accuracy Vehicle-bicycle: 0.0
-- Accuracy Vehicle-caravan: 0.0
-- Accuracy Vehicle-cartrailer: 0.0
-- Accuracy Construction-building: 0.3912
-- Accuracy Construction-door: 0.0
-- Accuracy Construction-wall: 0.0001
-- Accuracy Construction-fenceguardrail: 0.0
-- Accuracy Construction-bridge: 0.0
-- Accuracy Construction-tunnel: nan
-- Accuracy Construction-stairs: 0.0
-- Accuracy Object-pole: 0.0
-- Accuracy Object-trafficsign: 0.0
-- Accuracy Object-trafficlight: 0.0
-- Accuracy Nature-vegetation: 0.1472
-- Accuracy Nature-terrain: 0.0
-- Accuracy Sky: 0.0
-- Accuracy Void-ground: 0.0
-- Accuracy Void-dynamic: 0.0000
-- Accuracy Void-static: 0.0083
-- Accuracy Void-unclear: 0.0
-- Iou Unlabeled: nan
-- Iou Flat-road: 0.0001
-- Iou Flat-sidewalk: 0.4443
-- Iou Flat-crosswalk: 0.0005
-- Iou Flat-cyclinglane: 0.0
-- Iou Flat-parkingdriveway: 0.0
-- Iou Flat-railtrack: 0.0
-- Iou Flat-curb: 0.0001
-- Iou Human-person: 0.0
-- Iou Human-rider: 0.0
-- Iou Vehicle-car: 0.0811
-- 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: 0.1522
-- Iou Construction-door: 0.0
-- Iou Construction-wall: 0.0001
-- Iou Construction-fenceguardrail: 0.0
-- Iou Construction-bridge: 0.0
-- Iou Construction-tunnel: nan
-- Iou Construction-stairs: 0.0
-- Iou Object-pole: 0.0
-- Iou Object-trafficsign: 0.0
-- Iou Object-trafficlight: 0.0
-- Iou Nature-vegetation: 0.1271
-- Iou Nature-terrain: 0.0
-- Iou Sky: 0.0
-- Iou Void-ground: 0.0
-- Iou Void-dynamic: 0.0000
-- Iou Void-static: 0.0062
-- Iou Void-unclear: 0.0
+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.
 
 ## Model description
 
@@ -122,7 +45,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Flat-road | Accuracy Flat-sidewalk | Accuracy Flat-crosswalk | Accuracy Flat-cyclinglane | Accuracy Flat-parkingdriveway | Accuracy Flat-railtrack | Accuracy Flat-curb | Accuracy Human-person | Accuracy Human-rider | Accuracy Vehicle-car | Accuracy Vehicle-truck | Accuracy Vehicle-bus | Accuracy Vehicle-tramtrain | Accuracy Vehicle-motorcycle | Accuracy Vehicle-bicycle | Accuracy Vehicle-caravan | Accuracy Vehicle-cartrailer | Accuracy Construction-building | Accuracy Construction-door | Accuracy Construction-wall | Accuracy Construction-fenceguardrail | Accuracy Construction-bridge | Accuracy Construction-tunnel | Accuracy Construction-stairs | Accuracy Object-pole | Accuracy Object-trafficsign | Accuracy Object-trafficlight | Accuracy Nature-vegetation | Accuracy Nature-terrain | Accuracy Sky | Accuracy Void-ground | Accuracy Void-dynamic | Accuracy Void-static | Accuracy Void-unclear | Iou Unlabeled | Iou Flat-road | Iou Flat-sidewalk | Iou Flat-crosswalk | Iou Flat-cyclinglane | Iou Flat-parkingdriveway | Iou Flat-railtrack | Iou Flat-curb | Iou Human-person | Iou Human-rider | Iou Vehicle-car | Iou Vehicle-truck | Iou Vehicle-bus | Iou Vehicle-tramtrain | Iou Vehicle-motorcycle | Iou Vehicle-bicycle | Iou Vehicle-caravan | Iou Vehicle-cartrailer | Iou Construction-building | Iou Construction-door | Iou Construction-wall | Iou Construction-fenceguardrail | Iou Construction-bridge | Iou Construction-tunnel | Iou Construction-stairs | Iou Object-pole | Iou Object-trafficsign | Iou Object-trafficlight | Iou Nature-vegetation | Iou Nature-terrain | Iou Sky | Iou Void-ground | Iou Void-dynamic | Iou Void-static | Iou Void-unclear |
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-| No log        | 0.0235 | 10   | 4.3689          | 0.0246   | 0.0522        | 0.3811           | nan                | 0.0001             | 0.9230                 | 0.0006                  | 0.0                       | 0.0                           | nan                     | 0.0001             | 0.0                   | 0.0                  | 0.2010               | 0.0                    | 0.0                  | 0.0                        | 0.0                         | 0.0                      | 0.0                      | 0.0                         | 0.3912                         | 0.0                        | 0.0001                     | 0.0                                  | 0.0                          | nan                          | 0.0                          | 0.0                  | 0.0                         | 0.0                          | 0.1472                     | 0.0                     | 0.0          | 0.0                  | 0.0000                | 0.0083               | 0.0                   | nan           | 0.0001        | 0.4443            | 0.0005             | 0.0                  | 0.0                      | 0.0                | 0.0001        | 0.0              | 0.0             | 0.0811          | 0.0               | 0.0             | 0.0                   | 0.0                    | 0.0                 | 0.0                 | 0.0                    | 0.1522                    | 0.0                   | 0.0001                | 0.0                             | 0.0                     | nan                     | 0.0                     | 0.0             | 0.0                    | 0.0                     | 0.1271                | 0.0                | 0.0     | 0.0             | 0.0000           | 0.0062          | 0.0              |
+| No log        | 0.0235 | 10   | 3.7016          | 0.0657   | 0.1096        | 0.5747           | nan                | 0.0688             | 0.9323                 | 0.0208                  | 0.1128                    | 0.0001                        | nan                     | 0.0000             | 0.0036                | 0.0                  | 0.0119               | 0.0031                 | 0.0                  | nan                        | 0.0                         | 0.0041                   | nan                      | 0.0                         | 0.8154                         | 0.0                        | 0.0063                     | 0.0003                               | 0.0                          | 0.0                          | 0.0                          | 0.0000               | 0.0                         | 0.0                          | 0.8720                     | 0.4628                  | 0.0239       | 0.0                  | 0.0044                | 0.0087               | 0.0448                | 0.0           | 0.0678        | 0.7148            | 0.0018             | 0.0571               | 0.0001                   | 0.0                | 0.0000        | 0.0017           | 0.0             | 0.0117          | 0.0002            | 0.0             | 0.0                   | 0.0                    | 0.0010              | 0.0                 | 0.0                    | 0.4872                    | 0.0                   | 0.0048                | 0.0003                          | 0.0                     | 0.0                     | 0.0                     | 0.0000          | 0.0                    | 0.0                     | 0.5625                | 0.3569             | 0.0239  | 0.0             | 0.0028           | 0.0055          | 0.0001           |
 
 
 ### Framework versions