Add evaluation results on beans dataset
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the [beans](https://huggingface.co/datasets/beans) dataset by
@lewtun
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-ac4402f5-7985076).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=beans).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=beans).
README.md
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@@ -8,7 +8,6 @@ datasets:
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- beans
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metrics:
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- accuracy
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-
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model-index:
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- name: vit-base-beans-demo
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results:
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@@ -20,9 +19,62 @@ model-index:
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type: beans
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args: default
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metrics:
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-
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-
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-
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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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- beans
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metrics:
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- accuracy
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model-index:
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- name: vit-base-beans-demo
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results:
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type: beans
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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: 0.9774436090225563
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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: beans
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type: beans
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config: default
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split: test
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.921875
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verified: true
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- name: Precision Macro
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type: precision
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value: 0.9267070114310165
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verified: true
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- name: Precision Micro
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type: precision
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value: 0.921875
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verified: true
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- name: Precision Weighted
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type: precision
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value: 0.9263249587383091
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verified: true
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- name: Recall Macro
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type: recall
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value: 0.9221114802510151
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verified: true
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- name: Recall Micro
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type: recall
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value: 0.921875
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verified: true
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- name: Recall Weighted
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type: recall
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value: 0.921875
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verified: true
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- name: F1 Macro
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type: f1
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value: 0.9219292629455018
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verified: true
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- name: F1 Micro
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type: f1
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value: 0.921875
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verified: true
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- name: F1 Weighted
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type: f1
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value: 0.9216017148303357
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verified: true
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- name: loss
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type: loss
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value: 0.22961583733558655
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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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