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---
tags: autotrain
datasets:
- abhishek/autotrain-data-vision_79ca848474e24ad3a520c09e36452e85
- cifar10
co2_eq_emissions: 32.869648157119876
model-index:
- name: autotrain_cifar10_vit_base
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: cifar10
type: cifar10
metrics:
- name: Accuracy
type: accuracy
value: 0.9834
- task:
type: image-classification
name: Image Classification
dataset:
name: cifar10
type: cifar10
config: plain_text
split: test
metrics:
- name: Accuracy
type: accuracy
value: 0.9811
verified: true
- name: Precision Macro
type: precision
value: 0.9812371727477451
verified: true
- name: Precision Micro
type: precision
value: 0.9811
verified: true
- name: Precision Weighted
type: precision
value: 0.9812371727477451
verified: true
- name: Recall Macro
type: recall
value: 0.9811
verified: true
- name: Recall Micro
type: recall
value: 0.9811
verified: true
- name: Recall Weighted
type: recall
value: 0.9811
verified: true
- name: F1 Macro
type: f1
value: 0.9811240087824231
verified: true
- name: F1 Micro
type: f1
value: 0.9811
verified: true
- name: F1 Weighted
type: f1
value: 0.981124008782423
verified: true
- name: loss
type: loss
value: 0.0649944543838501
verified: true
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 300303
- CO2 Emissions (in grams): 32.869648157119876
## Validation Metrics
- Loss: 0.05070499703288078
- Accuracy: 0.9834
- Macro F1: 0.9834026834840477
- Micro F1: 0.9834
- Weighted F1: 0.9834026834840479
- Macro Precision: 0.9834502145172822
- Micro Precision: 0.9834
- Weighted Precision: 0.9834502145172822
- Macro Recall: 0.9833999999999999
- Micro Recall: 0.9834
- Weighted Recall: 0.9834 |