|
--- |
|
license: other |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: nateraw/mit-b0-finetuned-sidewalks-v2 |
|
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. --> |
|
|
|
# nateraw/mit-b0-finetuned-sidewalks-v2 |
|
|
|
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: 0.7134 |
|
- Validation Loss: 0.5660 |
|
- Validation Mean Iou: 0.2780 |
|
- Validation Mean Accuracy: 0.3320 |
|
- Validation Overall Accuracy: 0.8286 |
|
- Validation Per Category Iou: [0. 0.64791461 0.83800512 0.67301044 0.68120631 0.27361472 |
|
nan 0.26715802 0.43596999 0. 0.78649287 0. |
|
0. 0. 0. 0.41256964 0. 0. |
|
0.71114766 0. 0.31646321 0.44682442 0. nan |
|
0. 0.17132551 0. 0. 0.81845697 0.67536699 |
|
0.88940936 0. 0. 0.1304862 0. ] |
|
- Validation Per Category Accuracy: [0. 0.85958877 0.92084269 0.82341633 0.74725972 0.33495972 |
|
nan 0.40755277 0.56591531 0. 0.90641721 0. |
|
0. 0. 0. 0.48144408 0. 0. |
|
0.88294811 0. 0.46962078 0.47517397 0. nan |
|
0. 0.20631607 0. 0. 0.90956851 0.85856042 |
|
0.94107052 0. 0. 0.16669713 0. ] |
|
- Epoch: 2 |
|
|
|
## 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', 'learning_rate': 6e-05, 'decay': 0.0, '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 Per Category Iou | Validation Per Category Accuracy | Epoch | |
|
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-----:| |
|
| 1.4089 | 0.8220 | 0.1975 | 0.2427 | 0.7701 | [0. 0.58353931 0.7655921 0.04209491 0.53135026 0.11779776 |
|
nan 0.07709853 0.15950712 0. 0.69634813 0. |
|
0. 0. 0. 0. 0. 0. |
|
0.61456822 0. 0.24971248 0.27129675 0. nan |
|
0. 0.07697324 0. 0. 0.78576516 0.61267064 |
|
0.84564576 0. 0. 0.08904216 0. ] | [0. 0.88026971 0.93475302 0.04216372 0.5484085 0.13285614 |
|
nan 0.08669707 0.19044773 0. 0.90089024 0. |
|
0. 0. 0. 0. 0. 0. |
|
0.76783975 0. 0.42102101 0.28659817 0. nan |
|
0. 0.08671771 0. 0. 0.89590301 0.74932576 |
|
0.9434814 0. 0. 0.14245566 0. ] | 0 | |
|
| 0.8462 | 0.6135 | 0.2551 | 0.2960 | 0.8200 | [0. 0.66967645 0.80571406 0.56416239 0.66692248 0.24744912 |
|
nan 0.23994505 0.28962463 0. 0.76504783 0. |
|
0. 0. 0. 0.14111353 0. 0. |
|
0.6924468 0. 0.27988701 0.41876094 0. nan |
|
0. 0.14755829 0. 0. 0.81614463 0.68429711 |
|
0.87710938 0. 0. 0.11234171 0. ] | [0. 0.83805933 0.94928385 0.59586511 0.72913519 0.30595504 |
|
nan 0.3128234 0.34805831 0. 0.87847495 0. |
|
0. 0. 0. 0.14205167 0. 0. |
|
0.87543619 0. 0.36001144 0.49498574 0. nan |
|
0. 0.18179115 0. 0. 0.92867923 0.7496178 |
|
0.92220166 0. 0. 0.15398549 0. ] | 1 | |
|
| 0.7134 | 0.5660 | 0.2780 | 0.3320 | 0.8286 | [0. 0.64791461 0.83800512 0.67301044 0.68120631 0.27361472 |
|
nan 0.26715802 0.43596999 0. 0.78649287 0. |
|
0. 0. 0. 0.41256964 0. 0. |
|
0.71114766 0. 0.31646321 0.44682442 0. nan |
|
0. 0.17132551 0. 0. 0.81845697 0.67536699 |
|
0.88940936 0. 0. 0.1304862 0. ] | [0. 0.85958877 0.92084269 0.82341633 0.74725972 0.33495972 |
|
nan 0.40755277 0.56591531 0. 0.90641721 0. |
|
0. 0. 0. 0.48144408 0. 0. |
|
0.88294811 0. 0.46962078 0.47517397 0. nan |
|
0. 0.20631607 0. 0. 0.90956851 0.85856042 |
|
0.94107052 0. 0. 0.16669713 0. ] | 2 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.24.0 |
|
- TensorFlow 2.9.2 |
|
- Datasets 2.7.0 |
|
- Tokenizers 0.13.2 |
|
|
