Image Classification
timm
PyTorch
bdd100k-toolkit
computer-vision
autonomous-driving
self-driving-cars
driving-scenes
time-of-day-classification
Eval Results (legacy)
Instructions to use dronefreak/bdd100k-period-efficientvit_b3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use dronefreak/bdd100k-period-efficientvit_b3 with timm:
import timm model = timm.create_model("hf-hub:dronefreak/bdd100k-period-efficientvit_b3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download results.csv from dronefreak/bdd100k-period-efficientvit_b3: direct link, hf CLI and curl.
- Browser
- Download file 920 Bytes
-
https://huggingface.co/dronefreak/bdd100k-period-efficientvit_b3/resolve/main/results.csv
- Command line
-
hf download hf://dronefreak/bdd100k-period-efficientvit_b3/results.csv
-
curl -L -o results.csv https://huggingface.co/dronefreak/bdd100k-period-efficientvit_b3/resolve/main/results.csv
920 Bytes
| epoch,train_loss,valid_loss,valid_accuracy,valid_balanced_accuracy,valid_macro_f1,monitored_macro_f1,lr,seconds | |
| 1,0.25207,0.17253,0.94284,0.70644,0.73801,0.73801,3.000e-04,227.6 | |
| 2,0.18819,0.16822,0.94274,0.72003,0.74855,0.74855,2.997e-04,227.6 | |
| 3,0.18357,0.16859,0.94351,0.69559,0.72055,0.72055,2.988e-04,227.3 | |
| 4,0.18213,0.16766,0.94389,0.70706,0.73748,0.73748,2.972e-04,227.3 | |
| 5,0.18260,0.16960,0.94370,0.69544,0.74149,0.74149,2.951e-04,227.2 | |
| 6,0.17828,0.16900,0.94227,0.69475,0.72952,0.72952,2.924e-04,227.3 | |
| 7,0.17620,0.16854,0.94274,0.69199,0.72869,0.72869,2.890e-04,227.2 | |
| 8,0.17380,0.16718,0.94379,0.69633,0.73186,0.73186,2.851e-04,227.2 | |
| 9,0.17313,0.16798,0.94255,0.70201,0.73950,0.73950,2.807e-04,227.3 | |
| 10,0.17296,0.17365,0.94207,0.69322,0.72608,0.72608,2.757e-04,227.2 | |
| 11,0.16333,0.16910,0.94217,0.71603,0.74827,0.74827,2.702e-04,227.1 | |
| 12,0.16181,0.16925,0.94227,0.71459,0.74433,0.74433,2.642e-04,227.1 | |