Add evaluation results on food101 dataset
#1
by
autoevaluator
HF staff
- opened
README.md
CHANGED
@@ -19,9 +19,62 @@ model-index:
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type: food101
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args: default
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metrics:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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type: food101
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8912871287128713
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- task:
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type: image-classification
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name: Image Classification
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dataset:
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name: food101
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type: food101
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config: default
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split: validation
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7872475247524753
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verified: true
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- name: Precision Macro
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type: precision
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value: 0.8037731109218832
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verified: true
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- name: Precision Micro
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type: precision
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value: 0.7872475247524753
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verified: true
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- name: Precision Weighted
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type: precision
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value: 0.8037731109218832
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verified: true
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- name: Recall Macro
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type: recall
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value: 0.7872475247524753
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verified: true
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- name: Recall Micro
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type: recall
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value: 0.7872475247524753
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verified: true
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- name: Recall Weighted
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type: recall
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value: 0.7872475247524753
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verified: true
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- name: F1 Macro
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type: f1
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value: 0.7898702754048251
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verified: true
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- name: F1 Micro
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type: f1
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value: 0.7872475247524753
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verified: true
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- name: F1 Weighted
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type: f1
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value: 0.789870275404825
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verified: true
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- name: loss
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type: loss
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value: 0.8927117586135864
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verified: true
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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