metadata
tags:
- autotrain
- image-classification
widget:
- src: >-
https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: >-
https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: >-
https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
example_title: Palace
datasets:
- abhishek/autotrain-data-imgadvtest3
co2_eq_emissions:
emissions: 0
Model Trained Using AutoTrain
- Problem type: Text Classification
- CO2 Emissions (in grams): 0.0000
Validation Metrics
loss: 0.14338010549545288
f1_macro: 0.940526140757593
f1_micro: 0.94
f1_weighted: 0.9398044781162052
precision_macro: 0.940964983321917
precision_micro: 0.94
precision_weighted: 0.9410628287317604
recall_macro: 0.9414679313146717
recall_micro: 0.94
recall_weighted: 0.94
accuracy: 0.94