|
--- |
|
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 | |
|
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:-----------------------------:|:---------------------------------:|:----------------------------------:|:------------------------------------:|:----------------------------------------:|:----------------------------------:|:-----------------------------:|:--------------------------------:|:-------------------------------:|:-------------------------------:|:---------------------------------:|:-------------------------------:|:-------------------------------------:|:--------------------------------------:|:-----------------------------------:|:-----------------------------------:|:--------------------------------------:|:-----------------------------------------:|:-------------------------------------:|:-------------------------------------:|:-----------------------------------------------:|:---------------------------------------:|:---------------------------------------:|:---------------------------------------:|:-------------------------------:|:--------------------------------------:|:---------------------------------------:|:-------------------------------------:|:----------------------------------:|:-----------------------:|:-------------------------------:|:--------------------------------:|:-------------------------------:|:--------------------------------:|:------------------------:|:------------------------:|:----------------------------:|:-----------------------------:|:-------------------------------:|:-----------------------------------:|:-----------------------------:|:------------------------:|:---------------------------:|:--------------------------:|:--------------------------:|:----------------------------:|:--------------------------:|:--------------------------------:|:---------------------------------:|:------------------------------:|:------------------------------:|:---------------------------------:|:------------------------------------:|:--------------------------------:|:--------------------------------:|:------------------------------------------:|:----------------------------------:|:----------------------------------:|:----------------------------------:|:--------------------------:|:---------------------------------:|:----------------------------------:|:--------------------------------:|:-----------------------------:|:------------------:|:--------------------------:|:---------------------------:|:--------------------------:|:---------------------------:|:-----:| |
|
| 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 |
|
|
