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---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_keras_callback
model-index:
- name: diegola123/mit-b0-finetuned-sidewalks
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# diegola123/mit-b0-finetuned-sidewalks
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.9385
- Validation Loss: 0.8219
- Validation Mean Iou: 0.1978
- Validation Mean Accuracy: 0.2443
- Validation Overall Accuracy: 0.7617
- Validation Accuracy Unlabeled: 0.0
- Validation Accuracy Flat-road: 0.7657
- Validation Accuracy Flat-sidewalk: 0.9179
- Validation Accuracy Flat-crosswalk: 0.4156
- Validation Accuracy Flat-cyclinglane: 0.6428
- Validation Accuracy Flat-parkingdriveway: 0.3116
- Validation Accuracy Flat-railtrack: nan
- Validation Accuracy Flat-curb: 0.1868
- Validation Accuracy Human-person: 0.0310
- Validation Accuracy Human-rider: 0.0
- Validation Accuracy Vehicle-car: 0.8157
- 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: 0.0
- Validation Accuracy Vehicle-caravan: nan
- Validation Accuracy Vehicle-cartrailer: 0.0
- Validation Accuracy Construction-building: 0.8090
- Validation Accuracy Construction-door: 0.0
- Validation Accuracy Construction-wall: 0.2585
- Validation Accuracy Construction-fenceguardrail: 0.1117
- Validation Accuracy Construction-bridge: 0.0
- Validation Accuracy Construction-tunnel: 0.0
- Validation Accuracy Construction-stairs: 0.0
- Validation Accuracy Object-pole: 0.1427
- Validation Accuracy Object-trafficsign: 0.0009
- Validation Accuracy Object-trafficlight: 0.0
- Validation Accuracy Nature-vegetation: 0.9491
- Validation Accuracy Nature-terrain: 0.6740
- Validation Accuracy Sky: 0.7821
- Validation Accuracy Void-ground: 0.0
- Validation Accuracy Void-dynamic: 0.0
- Validation Accuracy Void-static: 0.0037
- Validation Accuracy Void-unclear: 0.0
- Validation Iou Unlabeled: 0.0
- Validation Iou Flat-road: 0.5953
- Validation Iou Flat-sidewalk: 0.7737
- Validation Iou Flat-crosswalk: 0.3640
- Validation Iou Flat-cyclinglane: 0.5889
- Validation Iou Flat-parkingdriveway: 0.1813
- Validation Iou Flat-railtrack: nan
- Validation Iou Flat-curb: 0.1674
- Validation Iou Human-person: 0.0300
- Validation Iou Human-rider: 0.0
- Validation Iou Vehicle-car: 0.5407
- 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: 0.0
- Validation Iou Vehicle-caravan: nan
- Validation Iou Vehicle-cartrailer: 0.0
- Validation Iou Construction-building: 0.5474
- Validation Iou Construction-door: 0.0
- Validation Iou Construction-wall: 0.2017
- Validation Iou Construction-fenceguardrail: 0.0897
- Validation Iou Construction-bridge: 0.0
- Validation Iou Construction-tunnel: 0.0
- Validation Iou Construction-stairs: 0.0
- Validation Iou Object-pole: 0.1280
- Validation Iou Object-trafficsign: 0.0009
- Validation Iou Object-trafficlight: 0.0
- Validation Iou Nature-vegetation: 0.7228
- Validation Iou Nature-terrain: 0.6364
- Validation Iou Sky: 0.7594
- Validation Iou Void-ground: 0.0
- Validation Iou Void-dynamic: 0.0
- Validation Iou Void-static: 0.0036
- Validation Iou Void-unclear: 0.0
- Epoch: 1
## 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': 0.001, '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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| 1.2568 | 1.0277 | 0.1717 | 0.2305 | 0.7089 | 0.0 | 0.7565 | 0.8215 | 0.6421 | 0.4804 | 0.1174 | nan | 0.2548 | 0.0847 | 0.0 | 0.7733 | 0.0 | 0.0 | nan | 0.0 | 0.0 | nan | 0.0 | 0.6221 | 0.0 | 0.1317 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0988 | 0.0 | 0.0 | 0.9727 | 0.6553 | 0.9463 | 0.0 | 0.0 | 0.0173 | 0.0 | 0.0 | 0.4869 | 0.7244 | 0.3171 | 0.4769 | 0.0943 | nan | 0.1866 | 0.0608 | 0.0 | 0.4146 | 0.0 | 0.0 | nan | 0.0 | 0.0 | nan | 0.0 | 0.4891 | 0.0 | 0.1186 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0939 | 0.0 | 0.0 | 0.6589 | 0.5986 | 0.7578 | 0.0 | 0.0 | 0.0160 | 0.0 | 0 |
| 0.9385 | 0.8219 | 0.1978 | 0.2443 | 0.7617 | 0.0 | 0.7657 | 0.9179 | 0.4156 | 0.6428 | 0.3116 | nan | 0.1868 | 0.0310 | 0.0 | 0.8157 | 0.0 | 0.0 | nan | 0.0 | 0.0 | nan | 0.0 | 0.8090 | 0.0 | 0.2585 | 0.1117 | 0.0 | 0.0 | 0.0 | 0.1427 | 0.0009 | 0.0 | 0.9491 | 0.6740 | 0.7821 | 0.0 | 0.0 | 0.0037 | 0.0 | 0.0 | 0.5953 | 0.7737 | 0.3640 | 0.5889 | 0.1813 | nan | 0.1674 | 0.0300 | 0.0 | 0.5407 | 0.0 | 0.0 | nan | 0.0 | 0.0 | nan | 0.0 | 0.5474 | 0.0 | 0.2017 | 0.0897 | 0.0 | 0.0 | 0.0 | 0.1280 | 0.0009 | 0.0 | 0.7228 | 0.6364 | 0.7594 | 0.0 | 0.0 | 0.0036 | 0.0 | 1 |
### Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2
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