|
--- |
|
tags: autotrain |
|
datasets: |
|
- abhishek/autotrain-data-vision_652fee16113a4f07a2452e021a22a934 |
|
- sasha/dog-food |
|
co2_eq_emissions: 2.050948967287266 |
|
model-index: |
|
- name: image-classification |
|
results: |
|
- task: |
|
name: Image Classification |
|
type: image-classification |
|
dataset: |
|
name: sasha/dog-food |
|
type: sasha/dog-food |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.9976190476190476 |
|
--- |
|
|
|
# Model Trained Using AutoTrain |
|
|
|
- Problem type: Multi-class Classification |
|
- Model ID: 264300 |
|
- CO2 Emissions (in grams): 2.050948967287266 |
|
|
|
## Validation Metrics |
|
|
|
- Loss: 0.009216072037816048 |
|
- Accuracy: 0.9976190476190476 |
|
- Macro F1: 0.9973261861865685 |
|
- Micro F1: 0.9976190476190476 |
|
- Weighted F1: 0.997621154535828 |
|
- Macro Precision: 0.9964539007092199 |
|
- Micro Precision: 0.9976190476190476 |
|
- Weighted Precision: 0.9976359338061465 |
|
- Macro Recall: 0.9982142857142857 |
|
- Micro Recall: 0.9976190476190476 |
|
- Weighted Recall: 0.9976190476190476 |
