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# imgautamI9/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: 1.4125
- Validation Loss: 0.8713
- Validation Mean Iou: 0.1971
- Validation Mean Accuracy: 0.2411
- Validation Overall Accuracy: 0.7719
- Validation Accuracy Unlabeled: 0.0
- Validation Accuracy Flat-road: 0.8817
- Validation Accuracy Flat-sidewalk: 0.8726
- Validation Accuracy Flat-crosswalk: 0.1282
- Validation Accuracy Flat-cyclinglane: 0.7085
- Validation Accuracy Flat-parkingdriveway: 0.3724
- Validation Accuracy Flat-railtrack: nan
- Validation Accuracy Flat-curb: 0.0970
- Validation Accuracy Human-person: 0.1222
- Validation Accuracy Human-rider: 0.0
- Validation Accuracy Vehicle-car: 0.8905
- Validation Accuracy Vehicle-truck: 0.0
- Validation Accuracy Vehicle-bus: 0.0
- Validation Accuracy Vehicle-tramtrain: 0.0
- Validation Accuracy Vehicle-motorcycle: 0.0
- Validation Accuracy Vehicle-bicycle: 0.0047
- Validation Accuracy Vehicle-caravan: nan
- Validation Accuracy Vehicle-cartrailer: 0.0
- Validation Accuracy Construction-building: 0.9392
- Validation Accuracy Construction-door: 0.0
- Validation Accuracy Construction-wall: 0.1170
- Validation Accuracy Construction-fenceguardrail: 0.0325
- Validation Accuracy Construction-bridge: 0.0
- Validation Accuracy Construction-tunnel: nan
- Validation Accuracy Construction-stairs: 0.0
- Validation Accuracy Object-pole: 0.0059
- Validation Accuracy Object-trafficsign: 0.0
- Validation Accuracy Object-trafficlight: 0.0
- Validation Accuracy Nature-vegetation: 0.9166
- Validation Accuracy Nature-terrain: 0.7109
- Validation Accuracy Sky: 0.9134
- Validation Accuracy Void-ground: 0.0
- Validation Accuracy Void-dynamic: 0.0
- Validation Accuracy Void-static: 0.0016
- Validation Accuracy Void-unclear: 0.0
- Validation Iou Unlabeled: 0.0
- Validation Iou Flat-road: 0.5895
- Validation Iou Flat-sidewalk: 0.7814
- Validation Iou Flat-crosswalk: 0.1279
- Validation Iou Flat-cyclinglane: 0.6769
- Validation Iou Flat-parkingdriveway: 0.2453
- Validation Iou Flat-railtrack: nan
- Validation Iou Flat-curb: 0.0860
- Validation Iou Human-person: 0.1044
- Validation Iou Human-rider: 0.0
- Validation Iou Vehicle-car: 0.7020
- Validation Iou Vehicle-truck: 0.0
- Validation Iou Vehicle-bus: 0.0
- Validation Iou Vehicle-tramtrain: 0.0
- Validation Iou Vehicle-motorcycle: 0.0
- Validation Iou Vehicle-bicycle: 0.0046
- Validation Iou Vehicle-caravan: nan
- Validation Iou Vehicle-cartrailer: 0.0
- Validation Iou Construction-building: 0.5887
- Validation Iou Construction-door: 0.0
- Validation Iou Construction-wall: 0.1047
- Validation Iou Construction-fenceguardrail: 0.0325
- Validation Iou Construction-bridge: 0.0
- Validation Iou Construction-tunnel: nan
- Validation Iou Construction-stairs: 0.0
- Validation Iou Object-pole: 0.0059
- Validation Iou Object-trafficsign: 0.0
- Validation Iou Object-trafficlight: 0.0
- Validation Iou Nature-vegetation: 0.7800
- Validation Iou Nature-terrain: 0.6211
- Validation Iou Sky: 0.8531
- Validation Iou Void-ground: 0.0
- Validation Iou Void-dynamic: 0.0
- Validation Iou Void-static: 0.0016
- Validation Iou Void-unclear: 0.0
- Epoch: 0

## 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 |
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:-----------------------------:|:---------------------------------:|:----------------------------------:|:------------------------------------:|:----------------------------------------:|:----------------------------------:|:-----------------------------:|:--------------------------------:|:-------------------------------:|:-------------------------------:|:---------------------------------:|:-------------------------------:|:-------------------------------------:|:--------------------------------------:|:-----------------------------------:|:-----------------------------------:|:--------------------------------------:|:-----------------------------------------:|:-------------------------------------:|:-------------------------------------:|:-----------------------------------------------:|:---------------------------------------:|:---------------------------------------:|:---------------------------------------:|:-------------------------------:|:--------------------------------------:|:---------------------------------------:|:-------------------------------------:|:----------------------------------:|:-----------------------:|:-------------------------------:|:--------------------------------:|:-------------------------------:|:--------------------------------:|:------------------------:|:------------------------:|:----------------------------:|:-----------------------------:|:-------------------------------:|:-----------------------------------:|:-----------------------------:|:------------------------:|:---------------------------:|:--------------------------:|:--------------------------:|:----------------------------:|:--------------------------:|:--------------------------------:|:---------------------------------:|:------------------------------:|:------------------------------:|:---------------------------------:|:------------------------------------:|:--------------------------------:|:--------------------------------:|:------------------------------------------:|:----------------------------------:|:----------------------------------:|:----------------------------------:|:--------------------------:|:---------------------------------:|:----------------------------------:|:--------------------------------:|:-----------------------------:|:------------------:|:--------------------------:|:---------------------------:|:--------------------------:|:---------------------------:|:-----:|
| 1.4125     | 0.8713          | 0.1971              | 0.2411                   | 0.7719                      | 0.0                           | 0.8817                        | 0.8726                            | 0.1282                             | 0.7085                               | 0.3724                                   | nan                                | 0.0970                        | 0.1222                           | 0.0                             | 0.8905                          | 0.0                               | 0.0                             | 0.0                                   | 0.0                                    | 0.0047                              | nan                                 | 0.0                                    | 0.9392                                    | 0.0                                   | 0.1170                                | 0.0325                                          | 0.0                                     | nan                                     | 0.0                                     | 0.0059                          | 0.0                                    | 0.0                                     | 0.9166                                | 0.7109                             | 0.9134                  | 0.0                             | 0.0                              | 0.0016                          | 0.0                              | 0.0                      | 0.5895                   | 0.7814                       | 0.1279                        | 0.6769                          | 0.2453                              | nan                           | 0.0860                   | 0.1044                      | 0.0                        | 0.7020                     | 0.0                          | 0.0                        | 0.0                              | 0.0                               | 0.0046                         | nan                            | 0.0                               | 0.5887                               | 0.0                              | 0.1047                           | 0.0325                                     | 0.0                                | nan                                | 0.0                                | 0.0059                     | 0.0                               | 0.0                                | 0.7800                           | 0.6211                        | 0.8531             | 0.0                        | 0.0                         | 0.0016                     | 0.0                         | 0     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "other", "tags": ["generated_from_keras_callback"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "imgautamI9/mit-b0-finetuned-sidewalks", "results": []}]}
transformers tf segformer generated_from_keras_callback base_model:nvidia/mit-b0 license:other endpoints_compatible region:us