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luca-g97
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mit-b0-finetuned-sidewalks

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segformer
generated_from_keras_callback
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luca-g97 commited on
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a8a2fcf
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1 Parent(s): 3c76170

Training in progress epoch 29

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  1. README.md +57 -56
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,82 +15,82 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.2110
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- - Validation Loss: 0.5231
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- - Validation Mean Iou: 0.3414
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- - Validation Mean Accuracy: 0.4290
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- - Validation Overall Accuracy: 0.8722
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  - Validation Accuracy Unlabeled: 0.0
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- - Validation Accuracy Flat-road: 0.8684
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- - Validation Accuracy Flat-sidewalk: 0.9551
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- - Validation Accuracy Flat-crosswalk: 0.5060
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- - Validation Accuracy Flat-cyclinglane: 0.8743
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- - Validation Accuracy Flat-parkingdriveway: 0.3936
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  - Validation Accuracy Flat-railtrack: nan
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- - Validation Accuracy Flat-curb: 0.6295
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- - Validation Accuracy Human-person: 0.7991
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- - Validation Accuracy Human-rider: 0.1233
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- - Validation Accuracy Vehicle-car: 0.9409
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- - Validation Accuracy Vehicle-truck: 0.0481
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  - Validation Accuracy Vehicle-bus: nan
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  - Validation Accuracy Vehicle-tramtrain: nan
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- - Validation Accuracy Vehicle-motorcycle: 0.0
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- - Validation Accuracy Vehicle-bicycle: 0.7064
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  - Validation Accuracy Vehicle-caravan: 0.0
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  - Validation Accuracy Vehicle-cartrailer: 0.0
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- - Validation Accuracy Construction-building: 0.9129
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- - Validation Accuracy Construction-door: 0.1463
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- - Validation Accuracy Construction-wall: 0.4067
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- - Validation Accuracy Construction-fenceguardrail: 0.4126
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  - Validation Accuracy Construction-bridge: 0.0
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  - Validation Accuracy Construction-tunnel: nan
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- - Validation Accuracy Construction-stairs: 0.2611
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- - Validation Accuracy Object-pole: 0.4535
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- - Validation Accuracy Object-trafficsign: 0.3979
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  - Validation Accuracy Object-trafficlight: 0.0
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- - Validation Accuracy Nature-vegetation: 0.9440
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- - Validation Accuracy Nature-terrain: 0.9430
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- - Validation Accuracy Sky: 0.9801
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- - Validation Accuracy Void-ground: 0.1153
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- - Validation Accuracy Void-dynamic: 0.0838
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- - Validation Accuracy Void-static: 0.3970
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  - Validation Accuracy Void-unclear: 0.0
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  - Validation Iou Unlabeled: 0.0
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- - Validation Iou Flat-road: 0.7971
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- - Validation Iou Flat-sidewalk: 0.8795
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- - Validation Iou Flat-crosswalk: 0.3698
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- - Validation Iou Flat-cyclinglane: 0.7345
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- - Validation Iou Flat-parkingdriveway: 0.3286
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  - Validation Iou Flat-railtrack: nan
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- - Validation Iou Flat-curb: 0.5408
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- - Validation Iou Human-person: 0.4354
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- - Validation Iou Human-rider: 0.1101
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- - Validation Iou Vehicle-car: 0.7568
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- - Validation Iou Vehicle-truck: 0.0463
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  - Validation Iou Vehicle-bus: nan
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  - Validation Iou Vehicle-tramtrain: 0.0
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- - Validation Iou Vehicle-motorcycle: 0.0
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- - Validation Iou Vehicle-bicycle: 0.4965
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  - Validation Iou Vehicle-caravan: 0.0
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  - Validation Iou Vehicle-cartrailer: 0.0
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- - Validation Iou Construction-building: 0.7422
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- - Validation Iou Construction-door: 0.1314
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- - Validation Iou Construction-wall: 0.3671
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- - Validation Iou Construction-fenceguardrail: 0.3160
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  - Validation Iou Construction-bridge: 0.0
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  - Validation Iou Construction-tunnel: nan
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- - Validation Iou Construction-stairs: 0.1858
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- - Validation Iou Object-pole: 0.3615
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- - Validation Iou Object-trafficsign: 0.2297
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  - Validation Iou Object-trafficlight: 0.0
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- - Validation Iou Nature-vegetation: 0.8787
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- - Validation Iou Nature-terrain: 0.8337
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- - Validation Iou Sky: 0.9380
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- - Validation Iou Void-ground: 0.0751
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- - Validation Iou Void-dynamic: 0.0511
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- - Validation Iou Void-static: 0.3184
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  - Validation Iou Void-unclear: 0.0
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- - Epoch: 28
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  ## Model description
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@@ -145,6 +145,7 @@ The following hyperparameters were used during training:
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  | 0.2311 | 0.4961 | 0.3478 | 0.4364 | 0.8738 | 0.0 | 0.8734 | 0.9679 | 0.5055 | 0.7900 | 0.4253 | nan | 0.6437 | 0.7229 | 0.1989 | 0.8863 | 0.0392 | nan | nan | 0.0011 | 0.6654 | 0.0 | 0.0 | 0.8941 | 0.1576 | 0.6591 | 0.4683 | 0.0 | nan | 0.2810 | 0.4781 | 0.3731 | 0.0 | 0.9497 | 0.9264 | 0.9771 | 0.0650 | 0.2566 | 0.3215 | 0.0 | 0.0 | 0.7982 | 0.8820 | 0.4066 | 0.7279 | 0.3452 | nan | 0.5455 | 0.4411 | 0.1509 | 0.7748 | 0.0314 | nan | 0.0 | 0.0011 | 0.5164 | 0.0 | 0.0 | 0.7315 | 0.1440 | 0.4729 | 0.3721 | 0.0 | nan | 0.1511 | 0.3584 | 0.2174 | 0.0 | 0.8773 | 0.8355 | 0.9361 | 0.0497 | 0.0978 | 0.2643 | 0.0 | 26 |
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  | 0.2208 | 0.5502 | 0.3493 | 0.4366 | 0.8689 | 0.0 | 0.8383 | 0.9673 | 0.5042 | 0.7920 | 0.3196 | nan | 0.6306 | 0.7779 | 0.1291 | 0.9021 | 0.1445 | nan | nan | 0.0273 | 0.7410 | 0.0 | 0.0 | 0.8969 | 0.1208 | 0.5939 | 0.4402 | 0.0 | nan | 0.2468 | 0.4770 | 0.3748 | 0.0 | 0.9438 | 0.9466 | 0.9747 | 0.1148 | 0.1817 | 0.4475 | 0.0 | 0.0 | 0.7682 | 0.8633 | 0.4140 | 0.7395 | 0.2747 | nan | 0.5426 | 0.4367 | 0.1124 | 0.7849 | 0.1196 | nan | 0.0 | 0.0272 | 0.5120 | 0.0 | 0.0 | 0.7431 | 0.1154 | 0.4755 | 0.3410 | 0.0 | nan | 0.1788 | 0.3618 | 0.2128 | 0.0 | 0.8779 | 0.8179 | 0.9403 | 0.0889 | 0.0963 | 0.3342 | 0.0 | 27 |
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  | 0.2110 | 0.5231 | 0.3414 | 0.4290 | 0.8722 | 0.0 | 0.8684 | 0.9551 | 0.5060 | 0.8743 | 0.3936 | nan | 0.6295 | 0.7991 | 0.1233 | 0.9409 | 0.0481 | nan | nan | 0.0 | 0.7064 | 0.0 | 0.0 | 0.9129 | 0.1463 | 0.4067 | 0.4126 | 0.0 | nan | 0.2611 | 0.4535 | 0.3979 | 0.0 | 0.9440 | 0.9430 | 0.9801 | 0.1153 | 0.0838 | 0.3970 | 0.0 | 0.0 | 0.7971 | 0.8795 | 0.3698 | 0.7345 | 0.3286 | nan | 0.5408 | 0.4354 | 0.1101 | 0.7568 | 0.0463 | nan | 0.0 | 0.0 | 0.4965 | 0.0 | 0.0 | 0.7422 | 0.1314 | 0.3671 | 0.3160 | 0.0 | nan | 0.1858 | 0.3615 | 0.2297 | 0.0 | 0.8787 | 0.8337 | 0.9380 | 0.0751 | 0.0511 | 0.3184 | 0.0 | 28 |
 
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  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Train Loss: 0.1959
19
+ - Validation Loss: 0.5240
20
+ - Validation Mean Iou: 0.3521
21
+ - Validation Mean Accuracy: 0.4343
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+ - Validation Overall Accuracy: 0.8771
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  - Validation Accuracy Unlabeled: 0.0
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+ - Validation Accuracy Flat-road: 0.8744
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+ - Validation Accuracy Flat-sidewalk: 0.9749
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+ - Validation Accuracy Flat-crosswalk: 0.4993
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+ - Validation Accuracy Flat-cyclinglane: 0.8143
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+ - Validation Accuracy Flat-parkingdriveway: 0.3366
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  - Validation Accuracy Flat-railtrack: nan
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+ - Validation Accuracy Flat-curb: 0.6376
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+ - Validation Accuracy Human-person: 0.7596
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+ - Validation Accuracy Human-rider: 0.1736
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+ - Validation Accuracy Vehicle-car: 0.9184
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+ - Validation Accuracy Vehicle-truck: 0.0424
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  - Validation Accuracy Vehicle-bus: nan
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  - Validation Accuracy Vehicle-tramtrain: nan
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+ - Validation Accuracy Vehicle-motorcycle: 0.0002
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+ - Validation Accuracy Vehicle-bicycle: 0.7469
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  - Validation Accuracy Vehicle-caravan: 0.0
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  - Validation Accuracy Vehicle-cartrailer: 0.0
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+ - Validation Accuracy Construction-building: 0.8957
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+ - Validation Accuracy Construction-door: 0.1516
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+ - Validation Accuracy Construction-wall: 0.5852
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+ - Validation Accuracy Construction-fenceguardrail: 0.4130
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  - Validation Accuracy Construction-bridge: 0.0
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  - Validation Accuracy Construction-tunnel: nan
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+ - Validation Accuracy Construction-stairs: 0.2630
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+ - Validation Accuracy Object-pole: 0.4594
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+ - Validation Accuracy Object-trafficsign: 0.3941
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  - Validation Accuracy Object-trafficlight: 0.0
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+ - Validation Accuracy Nature-vegetation: 0.9456
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+ - Validation Accuracy Nature-terrain: 0.9363
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+ - Validation Accuracy Sky: 0.9789
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+ - Validation Accuracy Void-ground: 0.1007
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+ - Validation Accuracy Void-dynamic: 0.1004
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+ - Validation Accuracy Void-static: 0.4621
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  - Validation Accuracy Void-unclear: 0.0
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  - Validation Iou Unlabeled: 0.0
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+ - Validation Iou Flat-road: 0.8044
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+ - Validation Iou Flat-sidewalk: 0.8775
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+ - Validation Iou Flat-crosswalk: 0.4029
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+ - Validation Iou Flat-cyclinglane: 0.7728
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+ - Validation Iou Flat-parkingdriveway: 0.2994
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  - Validation Iou Flat-railtrack: nan
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+ - Validation Iou Flat-curb: 0.5577
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+ - Validation Iou Human-person: 0.4748
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+ - Validation Iou Human-rider: 0.1513
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+ - Validation Iou Vehicle-car: 0.7884
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+ - Validation Iou Vehicle-truck: 0.0378
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  - Validation Iou Vehicle-bus: nan
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  - Validation Iou Vehicle-tramtrain: 0.0
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+ - Validation Iou Vehicle-motorcycle: 0.0002
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+ - Validation Iou Vehicle-bicycle: 0.5007
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  - Validation Iou Vehicle-caravan: 0.0
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  - Validation Iou Vehicle-cartrailer: 0.0
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+ - Validation Iou Construction-building: 0.7343
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+ - Validation Iou Construction-door: 0.1427
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+ - Validation Iou Construction-wall: 0.4677
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+ - Validation Iou Construction-fenceguardrail: 0.3440
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  - Validation Iou Construction-bridge: 0.0
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  - Validation Iou Construction-tunnel: nan
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+ - Validation Iou Construction-stairs: 0.1765
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+ - Validation Iou Object-pole: 0.3631
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+ - Validation Iou Object-trafficsign: 0.2372
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  - Validation Iou Object-trafficlight: 0.0
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+ - Validation Iou Nature-vegetation: 0.8800
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+ - Validation Iou Nature-terrain: 0.8324
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+ - Validation Iou Sky: 0.9400
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+ - Validation Iou Void-ground: 0.0701
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+ - Validation Iou Void-dynamic: 0.0558
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+ - Validation Iou Void-static: 0.3558
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  - Validation Iou Void-unclear: 0.0
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+ - Epoch: 29
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  ## Model description
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145
  | 0.2311 | 0.4961 | 0.3478 | 0.4364 | 0.8738 | 0.0 | 0.8734 | 0.9679 | 0.5055 | 0.7900 | 0.4253 | nan | 0.6437 | 0.7229 | 0.1989 | 0.8863 | 0.0392 | nan | nan | 0.0011 | 0.6654 | 0.0 | 0.0 | 0.8941 | 0.1576 | 0.6591 | 0.4683 | 0.0 | nan | 0.2810 | 0.4781 | 0.3731 | 0.0 | 0.9497 | 0.9264 | 0.9771 | 0.0650 | 0.2566 | 0.3215 | 0.0 | 0.0 | 0.7982 | 0.8820 | 0.4066 | 0.7279 | 0.3452 | nan | 0.5455 | 0.4411 | 0.1509 | 0.7748 | 0.0314 | nan | 0.0 | 0.0011 | 0.5164 | 0.0 | 0.0 | 0.7315 | 0.1440 | 0.4729 | 0.3721 | 0.0 | nan | 0.1511 | 0.3584 | 0.2174 | 0.0 | 0.8773 | 0.8355 | 0.9361 | 0.0497 | 0.0978 | 0.2643 | 0.0 | 26 |
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  | 0.2208 | 0.5502 | 0.3493 | 0.4366 | 0.8689 | 0.0 | 0.8383 | 0.9673 | 0.5042 | 0.7920 | 0.3196 | nan | 0.6306 | 0.7779 | 0.1291 | 0.9021 | 0.1445 | nan | nan | 0.0273 | 0.7410 | 0.0 | 0.0 | 0.8969 | 0.1208 | 0.5939 | 0.4402 | 0.0 | nan | 0.2468 | 0.4770 | 0.3748 | 0.0 | 0.9438 | 0.9466 | 0.9747 | 0.1148 | 0.1817 | 0.4475 | 0.0 | 0.0 | 0.7682 | 0.8633 | 0.4140 | 0.7395 | 0.2747 | nan | 0.5426 | 0.4367 | 0.1124 | 0.7849 | 0.1196 | nan | 0.0 | 0.0272 | 0.5120 | 0.0 | 0.0 | 0.7431 | 0.1154 | 0.4755 | 0.3410 | 0.0 | nan | 0.1788 | 0.3618 | 0.2128 | 0.0 | 0.8779 | 0.8179 | 0.9403 | 0.0889 | 0.0963 | 0.3342 | 0.0 | 27 |
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  | 0.2110 | 0.5231 | 0.3414 | 0.4290 | 0.8722 | 0.0 | 0.8684 | 0.9551 | 0.5060 | 0.8743 | 0.3936 | nan | 0.6295 | 0.7991 | 0.1233 | 0.9409 | 0.0481 | nan | nan | 0.0 | 0.7064 | 0.0 | 0.0 | 0.9129 | 0.1463 | 0.4067 | 0.4126 | 0.0 | nan | 0.2611 | 0.4535 | 0.3979 | 0.0 | 0.9440 | 0.9430 | 0.9801 | 0.1153 | 0.0838 | 0.3970 | 0.0 | 0.0 | 0.7971 | 0.8795 | 0.3698 | 0.7345 | 0.3286 | nan | 0.5408 | 0.4354 | 0.1101 | 0.7568 | 0.0463 | nan | 0.0 | 0.0 | 0.4965 | 0.0 | 0.0 | 0.7422 | 0.1314 | 0.3671 | 0.3160 | 0.0 | nan | 0.1858 | 0.3615 | 0.2297 | 0.0 | 0.8787 | 0.8337 | 0.9380 | 0.0751 | 0.0511 | 0.3184 | 0.0 | 28 |
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+ | 0.1959 | 0.5240 | 0.3521 | 0.4343 | 0.8771 | 0.0 | 0.8744 | 0.9749 | 0.4993 | 0.8143 | 0.3366 | nan | 0.6376 | 0.7596 | 0.1736 | 0.9184 | 0.0424 | nan | nan | 0.0002 | 0.7469 | 0.0 | 0.0 | 0.8957 | 0.1516 | 0.5852 | 0.4130 | 0.0 | nan | 0.2630 | 0.4594 | 0.3941 | 0.0 | 0.9456 | 0.9363 | 0.9789 | 0.1007 | 0.1004 | 0.4621 | 0.0 | 0.0 | 0.8044 | 0.8775 | 0.4029 | 0.7728 | 0.2994 | nan | 0.5577 | 0.4748 | 0.1513 | 0.7884 | 0.0378 | nan | 0.0 | 0.0002 | 0.5007 | 0.0 | 0.0 | 0.7343 | 0.1427 | 0.4677 | 0.3440 | 0.0 | nan | 0.1765 | 0.3631 | 0.2372 | 0.0 | 0.8800 | 0.8324 | 0.9400 | 0.0701 | 0.0558 | 0.3558 | 0.0 | 29 |
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  ### Framework versions
tf_model.h5 CHANGED
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