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greathero
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mit-b0-finetuned-sidewalks

Transformers
TensorFlow
segformer
generated_from_keras_callback
Inference Endpoints
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greathero/mit-b0-finetuned-sidewalks

This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1964
  • Validation Loss: 0.5617
  • Validation Mean Iou: 0.3482
  • Validation Mean Accuracy: 0.4212
  • Validation Overall Accuracy: 0.8714
  • Validation Accuracy Unlabeled: 0.0
  • Validation Accuracy Flat-road: 0.9191
  • Validation Accuracy Flat-sidewalk: 0.9583
  • Validation Accuracy Flat-crosswalk: 0.5878
  • Validation Accuracy Flat-cyclinglane: 0.7730
  • Validation Accuracy Flat-parkingdriveway: 0.6079
  • Validation Accuracy Flat-railtrack: nan
  • Validation Accuracy Flat-curb: 0.5577
  • Validation Accuracy Human-person: 0.6959
  • Validation Accuracy Human-rider: 0.2221
  • Validation Accuracy Vehicle-car: 0.9300
  • Validation Accuracy Vehicle-truck: 0.1310
  • Validation Accuracy Vehicle-bus: 0.0
  • Validation Accuracy Vehicle-tramtrain: nan
  • Validation Accuracy Vehicle-motorcycle: 0.0
  • Validation Accuracy Vehicle-bicycle: 0.6927
  • Validation Accuracy Vehicle-caravan: 0.0
  • Validation Accuracy Vehicle-cartrailer: 0.0
  • Validation Accuracy Construction-building: 0.9088
  • Validation Accuracy Construction-door: 0.0611
  • Validation Accuracy Construction-wall: 0.4825
  • Validation Accuracy Construction-fenceguardrail: 0.4370
  • Validation Accuracy Construction-bridge: 0.0
  • Validation Accuracy Construction-tunnel: nan
  • Validation Accuracy Construction-stairs: 0.0
  • Validation Accuracy Object-pole: 0.4339
  • Validation Accuracy Object-trafficsign: 0.4711
  • Validation Accuracy Object-trafficlight: 0.0
  • Validation Accuracy Nature-vegetation: 0.9172
  • Validation Accuracy Nature-terrain: 0.9151
  • Validation Accuracy Sky: 0.9692
  • Validation Accuracy Void-ground: 0.5121
  • Validation Accuracy Void-dynamic: 0.0265
  • Validation Accuracy Void-static: 0.2676
  • Validation Accuracy Void-unclear: 0.0
  • Validation Iou Unlabeled: 0.0
  • Validation Iou Flat-road: 0.7902
  • Validation Iou Flat-sidewalk: 0.9044
  • Validation Iou Flat-crosswalk: 0.4201
  • Validation Iou Flat-cyclinglane: 0.6963
  • Validation Iou Flat-parkingdriveway: 0.4879
  • Validation Iou Flat-railtrack: nan
  • Validation Iou Flat-curb: 0.4607
  • Validation Iou Human-person: 0.4926
  • Validation Iou Human-rider: 0.1864
  • Validation Iou Vehicle-car: 0.8243
  • Validation Iou Vehicle-truck: 0.1278
  • Validation Iou Vehicle-bus: 0.0
  • Validation Iou Vehicle-tramtrain: nan
  • Validation Iou Vehicle-motorcycle: 0.0
  • Validation Iou Vehicle-bicycle: 0.4759
  • Validation Iou Vehicle-caravan: 0.0
  • Validation Iou Vehicle-cartrailer: 0.0
  • Validation Iou Construction-building: 0.6973
  • Validation Iou Construction-door: 0.0588
  • Validation Iou Construction-wall: 0.3754
  • Validation Iou Construction-fenceguardrail: 0.3760
  • Validation Iou Construction-bridge: 0.0
  • Validation Iou Construction-tunnel: nan
  • Validation Iou Construction-stairs: 0.0
  • Validation Iou Object-pole: 0.3330
  • Validation Iou Object-trafficsign: 0.3555
  • Validation Iou Object-trafficlight: 0.0
  • Validation Iou Nature-vegetation: 0.8600
  • Validation Iou Nature-terrain: 0.7533
  • Validation Iou Sky: 0.9288
  • Validation Iou Void-ground: 0.3089
  • Validation Iou Void-dynamic: 0.0223
  • Validation Iou Void-static: 0.2055
  • Validation Iou Void-unclear: 0.0
  • Epoch: 49

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 6e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Validation Mean Iou Validation Mean Accuracy Validation Overall Accuracy Validation Accuracy Unlabeled Validation Accuracy Flat-road Validation Accuracy Flat-sidewalk Validation Accuracy Flat-crosswalk Validation Accuracy Flat-cyclinglane Validation Accuracy Flat-parkingdriveway Validation Accuracy Flat-railtrack Validation Accuracy Flat-curb Validation Accuracy Human-person Validation Accuracy Human-rider Validation Accuracy Vehicle-car Validation Accuracy Vehicle-truck Validation Accuracy Vehicle-bus Validation Accuracy Vehicle-tramtrain Validation Accuracy Vehicle-motorcycle Validation Accuracy Vehicle-bicycle Validation Accuracy Vehicle-caravan Validation Accuracy Vehicle-cartrailer Validation Accuracy Construction-building Validation Accuracy Construction-door Validation Accuracy Construction-wall Validation Accuracy Construction-fenceguardrail Validation Accuracy Construction-bridge Validation Accuracy Construction-tunnel Validation Accuracy Construction-stairs Validation Accuracy Object-pole Validation Accuracy Object-trafficsign Validation Accuracy Object-trafficlight Validation Accuracy Nature-vegetation Validation Accuracy Nature-terrain Validation Accuracy Sky Validation Accuracy Void-ground Validation Accuracy Void-dynamic Validation Accuracy Void-static Validation Accuracy Void-unclear Validation Iou Unlabeled Validation Iou Flat-road Validation Iou Flat-sidewalk Validation Iou Flat-crosswalk Validation Iou Flat-cyclinglane Validation Iou Flat-parkingdriveway Validation Iou Flat-railtrack Validation Iou Flat-curb Validation Iou Human-person Validation Iou Human-rider Validation Iou Vehicle-car Validation Iou Vehicle-truck Validation Iou Vehicle-bus Validation Iou Vehicle-tramtrain Validation Iou Vehicle-motorcycle Validation Iou Vehicle-bicycle Validation Iou Vehicle-caravan Validation Iou Vehicle-cartrailer Validation Iou Construction-building Validation Iou Construction-door Validation Iou Construction-wall Validation Iou Construction-fenceguardrail Validation Iou Construction-bridge Validation Iou Construction-tunnel Validation Iou Construction-stairs Validation Iou Object-pole Validation Iou Object-trafficsign Validation Iou Object-trafficlight Validation Iou Nature-vegetation Validation Iou Nature-terrain Validation Iou Sky Validation Iou Void-ground Validation Iou Void-dynamic Validation Iou Void-static Validation Iou Void-unclear Epoch
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Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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