ThomasLam/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: 0.5617
- Validation Loss: 0.5455
- Validation Mean Iou: 0.2981
- Validation Mean Accuracy: 0.3694
- Validation Overall Accuracy: 0.8400
- Validation Accuracy Unlabeled: 0.0
- Validation Accuracy Flat-road: 0.8592
- Validation Accuracy Flat-sidewalk: 0.9015
- Validation Accuracy Flat-crosswalk: 0.6943
- Validation Accuracy Flat-cyclinglane: 0.8471
- Validation Accuracy Flat-parkingdriveway: 0.5867
- Validation Accuracy Flat-railtrack: nan
- Validation Accuracy Flat-curb: 0.4839
- Validation Accuracy Human-person: 0.5402
- Validation Accuracy Human-rider: 0.0
- Validation Accuracy Vehicle-car: 0.9318
- Validation Accuracy Vehicle-truck: 0.0
- Validation Accuracy Vehicle-bus: 0.0
- Validation Accuracy Vehicle-tramtrain: nan
- Validation Accuracy Vehicle-motorcycle: 0.0
- Validation Accuracy Vehicle-bicycle: 0.6756
- Validation Accuracy Vehicle-caravan: 0.0
- Validation Accuracy Vehicle-cartrailer: 0.0
- Validation Accuracy Construction-building: 0.8796
- Validation Accuracy Construction-door: 0.0
- Validation Accuracy Construction-wall: 0.6019
- Validation Accuracy Construction-fenceguardrail: 0.5454
- Validation Accuracy Construction-bridge: 0.0
- Validation Accuracy Construction-tunnel: nan
- Validation Accuracy Construction-stairs: 0.0
- Validation Accuracy Object-pole: 0.3915
- Validation Accuracy Object-trafficsign: 0.0
- Validation Accuracy Object-trafficlight: 0.0
- Validation Accuracy Nature-vegetation: 0.9456
- Validation Accuracy Nature-terrain: 0.7224
- Validation Accuracy Sky: 0.9630
- Validation Accuracy Void-ground: 0.0
- Validation Accuracy Void-dynamic: 0.0005
- Validation Accuracy Void-static: 0.2520
- Validation Accuracy Void-unclear: 0.0
- Validation Iou Unlabeled: 0.0
- Validation Iou Flat-road: 0.6794
- Validation Iou Flat-sidewalk: 0.8423
- Validation Iou Flat-crosswalk: 0.4614
- Validation Iou Flat-cyclinglane: 0.7741
- Validation Iou Flat-parkingdriveway: 0.3965
- Validation Iou Flat-railtrack: nan
- Validation Iou Flat-curb: 0.3812
- Validation Iou Human-person: 0.3313
- Validation Iou Human-rider: 0.0
- Validation Iou Vehicle-car: 0.7684
- Validation Iou Vehicle-truck: 0.0
- Validation Iou Vehicle-bus: 0.0
- Validation Iou Vehicle-tramtrain: nan
- Validation Iou Vehicle-motorcycle: 0.0
- Validation Iou Vehicle-bicycle: 0.4625
- Validation Iou Vehicle-caravan: 0.0
- Validation Iou Vehicle-cartrailer: 0.0
- Validation Iou Construction-building: 0.7518
- Validation Iou Construction-door: 0.0
- Validation Iou Construction-wall: 0.4870
- Validation Iou Construction-fenceguardrail: 0.4067
- Validation Iou Construction-bridge: 0.0
- Validation Iou Construction-tunnel: nan
- Validation Iou Construction-stairs: 0.0
- Validation Iou Object-pole: 0.2774
- Validation Iou Object-trafficsign: 0.0
- Validation Iou Object-trafficlight: 0.0
- Validation Iou Nature-vegetation: 0.8138
- Validation Iou Nature-terrain: 0.5846
- Validation Iou Sky: 0.9136
- Validation Iou Void-ground: 0.0
- Validation Iou Void-dynamic: 0.0005
- Validation Iou Void-static: 0.2057
- Validation Iou Void-unclear: 0.0
- Epoch: 4
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1.4680 | 0.9066 | 0.1798 | 0.2394 | 0.7547 | 0.0 | 0.8669 | 0.8589 | 0.0 | 0.6786 | 0.0989 | nan | 0.0247 | 0.2642 | 0.0 | 0.8952 | 0.0 | 0.0 | nan | 0.0 | 0.0006 | 0.0 | 0.0 | 0.7945 | 0.0 | 0.4156 | 0.1067 | 0.0 | nan | 0.0 | 0.0810 | 0.0 | 0.0 | 0.9131 | 0.7232 | 0.9213 | 0.0 | 0.0 | 0.0180 | 0.0 | 0.0 | 0.4849 | 0.7637 | 0.0 | 0.6063 | 0.0951 | nan | 0.0240 | 0.1986 | 0.0 | 0.6356 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0006 | 0.0 | 0.0 | 0.6237 | 0.0 | 0.3020 | 0.0966 | 0.0 | nan | 0.0 | 0.0755 | 0.0 | 0.0 | 0.7648 | 0.5032 | 0.7422 | 0.0 | 0.0 | 0.0170 | 0.0 | 0 |
0.8567 | 0.6646 | 0.2541 | 0.3119 | 0.8124 | 0.0 | 0.8596 | 0.9440 | 0.5084 | 0.6331 | 0.3103 | nan | 0.2047 | 0.5405 | 0.0 | 0.9264 | 0.0 | 0.0 | nan | 0.0 | 0.3220 | 0.0 | 0.0 | 0.8516 | 0.0 | 0.6289 | 0.3390 | 0.0 | nan | 0.0 | 0.2700 | 0.0 | 0.0 | 0.9158 | 0.7236 | 0.9357 | 0.0 | 0.0 | 0.0672 | 0.0 | 0.0 | 0.6107 | 0.8259 | 0.4541 | 0.6072 | 0.2645 | nan | 0.1822 | 0.2658 | 0.0 | 0.7033 | 0.0 | 0.0 | nan | 0.0 | 0.2866 | 0.0 | 0.0 | 0.6977 | 0.0 | 0.3962 | 0.2965 | 0.0 | nan | 0.0 | 0.2208 | 0.0 | 0.0 | 0.8041 | 0.5809 | 0.8706 | 0.0 | 0.0 | 0.0630 | 0.0 | 1 |
0.7002 | 0.6058 | 0.2747 | 0.3411 | 0.8279 | 0.0 | 0.8420 | 0.9339 | 0.5835 | 0.7672 | 0.4334 | nan | 0.4080 | 0.5484 | 0.0 | 0.9257 | 0.0 | 0.0 | nan | 0.0 | 0.4079 | 0.0 | 0.0 | 0.8439 | 0.0 | 0.6765 | 0.4692 | 0.0 | nan | 0.0 | 0.3434 | 0.0 | 0.0 | 0.9179 | 0.7872 | 0.9486 | 0.0 | 0.0 | 0.0798 | 0.0 | 0.0 | 0.6316 | 0.8505 | 0.4997 | 0.6888 | 0.3585 | nan | 0.3261 | 0.2850 | 0.0 | 0.7418 | 0.0 | 0.0 | nan | 0.0 | 0.3474 | 0.0 | 0.0 | 0.7019 | 0.0 | 0.3816 | 0.3688 | 0.0 | nan | 0.0 | 0.2469 | 0.0 | 0.0 | 0.8183 | 0.5924 | 0.8755 | 0.0 | 0.0 | 0.0744 | 0.0 | 2 |
0.6213 | 0.5759 | 0.2858 | 0.3589 | 0.8276 | 0.0 | 0.8817 | 0.8784 | 0.7087 | 0.8404 | 0.5910 | nan | 0.3922 | 0.5252 | 0.0 | 0.9485 | 0.0 | 0.0 | nan | 0.0 | 0.5948 | 0.0 | 0.0 | 0.8582 | 0.0 | 0.6432 | 0.4867 | 0.0 | nan | 0.0 | 0.3592 | 0.0 | 0.0 | 0.9287 | 0.7635 | 0.9531 | 0.0 | 0.0000 | 0.1312 | 0.0 | 0.0 | 0.6807 | 0.8223 | 0.4667 | 0.7441 | 0.3268 | nan | 0.3356 | 0.3185 | 0.0 | 0.7325 | 0.0 | 0.0 | nan | 0.0 | 0.4012 | 0.0 | 0.0 | 0.7425 | 0.0 | 0.4686 | 0.3947 | 0.0 | nan | 0.0 | 0.2611 | 0.0 | 0.0 | 0.8176 | 0.6067 | 0.9076 | 0.0 | 0.0000 | 0.1194 | 0.0 | 3 |
0.5617 | 0.5455 | 0.2981 | 0.3694 | 0.8400 | 0.0 | 0.8592 | 0.9015 | 0.6943 | 0.8471 | 0.5867 | nan | 0.4839 | 0.5402 | 0.0 | 0.9318 | 0.0 | 0.0 | nan | 0.0 | 0.6756 | 0.0 | 0.0 | 0.8796 | 0.0 | 0.6019 | 0.5454 | 0.0 | nan | 0.0 | 0.3915 | 0.0 | 0.0 | 0.9456 | 0.7224 | 0.9630 | 0.0 | 0.0005 | 0.2520 | 0.0 | 0.0 | 0.6794 | 0.8423 | 0.4614 | 0.7741 | 0.3965 | nan | 0.3812 | 0.3313 | 0.0 | 0.7684 | 0.0 | 0.0 | nan | 0.0 | 0.4625 | 0.0 | 0.0 | 0.7518 | 0.0 | 0.4870 | 0.4067 | 0.0 | nan | 0.0 | 0.2774 | 0.0 | 0.0 | 0.8138 | 0.5846 | 0.9136 | 0.0 | 0.0005 | 0.2057 | 0.0 | 4 |
Framework versions
- Transformers 4.27.3
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
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