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_b0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use dronefreak/bdd100k-period-efficientvit_b0 with timm:
import timm model = timm.create_model("hf-hub:dronefreak/bdd100k-period-efficientvit_b0", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download results.csv from dronefreak/bdd100k-period-efficientvit_b0: direct link, hf CLI and curl.
- Browser
- Download file 1.24 kB
-
https://huggingface.co/dronefreak/bdd100k-period-efficientvit_b0/resolve/main/results.csv
- Command line
-
hf download hf://dronefreak/bdd100k-period-efficientvit_b0/results.csv
-
curl -L -o results.csv https://huggingface.co/dronefreak/bdd100k-period-efficientvit_b0/resolve/main/results.csv
1.24 kB
| epoch,train_loss,valid_loss,valid_accuracy,valid_balanced_accuracy,valid_macro_f1,monitored_macro_f1,lr,seconds | |
| 1,0.29204,0.21309,0.93835,0.71858,0.72482,0.72482,3.000e-04,31.5 | |
| 2,0.18455,0.17571,0.94160,0.68951,0.71518,0.71518,2.997e-04,30.5 | |
| 3,0.17246,0.17678,0.94207,0.67318,0.71709,0.71709,2.988e-04,30.9 | |
| 4,0.16900,0.17515,0.94236,0.68216,0.70878,0.70878,2.972e-04,31.2 | |
| 5,0.16260,0.17406,0.94198,0.73218,0.75752,0.75752,2.951e-04,30.8 | |
| 6,0.15934,0.17205,0.94246,0.69238,0.73496,0.73496,2.924e-04,31.0 | |
| 7,0.15327,0.17459,0.94408,0.72163,0.76081,0.76081,2.890e-04,30.7 | |
| 8,0.14592,0.17761,0.94198,0.69135,0.72972,0.72972,2.851e-04,30.9 | |
| 9,0.14106,0.18512,0.94207,0.70882,0.73679,0.73679,2.807e-04,30.5 | |
| 10,0.13239,0.18755,0.94236,0.73446,0.75548,0.75548,2.757e-04,31.2 | |
| 11,0.12334,0.19097,0.94055,0.68178,0.71746,0.71746,2.702e-04,30.8 | |
| 12,0.11043,0.20002,0.93988,0.69237,0.72283,0.72283,2.642e-04,32.5 | |
| 13,0.09851,0.20957,0.93807,0.67974,0.71338,0.71338,2.578e-04,31.0 | |
| 14,0.08596,0.22457,0.93788,0.68321,0.71263,0.71263,2.508e-04,31.1 | |
| 15,0.07164,0.24184,0.93749,0.67536,0.70435,0.70435,2.435e-04,31.0 | |
| 16,0.06411,0.25314,0.93568,0.71559,0.74086,0.74086,2.358e-04,30.7 | |
| 17,0.05353,0.27344,0.93606,0.70572,0.73908,0.73908,2.278e-04,30.5 | |