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--- |
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tags: |
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- autotrain |
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- vision |
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- image-classification |
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datasets: |
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- lewtun/dog_food |
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widget: |
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg |
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example_title: Tiger |
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg |
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example_title: Teapot |
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg |
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example_title: Palace |
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library_name: transformers |
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co2_eq_emissions: |
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emissions: 6.799888815236616 |
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eval_info: |
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col_mapping: test |
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model-index: |
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- name: NimaBoscarino/dog_food |
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results: |
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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: lewtun/dog_food |
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type: lewtun/dog_food |
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config: lewtun--dog_food |
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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: 1.0 |
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verified: true |
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- name: Precision Macro |
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type: precision |
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value: 1.0 |
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verified: true |
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- name: Precision Micro |
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type: precision |
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value: 1.0 |
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verified: true |
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- name: Precision Weighted |
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type: precision |
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value: 1.0 |
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verified: true |
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- name: Recall Macro |
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type: recall |
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value: 1.0 |
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verified: true |
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- name: Recall Micro |
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type: recall |
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value: 1.0 |
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verified: true |
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- name: Recall Weighted |
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type: recall |
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value: 1.0 |
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verified: true |
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- name: F1 Macro |
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type: f1 |
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value: 1.0 |
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verified: true |
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- name: F1 Micro |
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type: f1 |
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value: 1.0 |
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verified: true |
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- name: F1 Weighted |
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type: f1 |
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value: 1.0 |
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verified: true |
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- name: loss |
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type: loss |
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value: 1.848173087637406e-05 |
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verified: true |
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--- |
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# Model Trained Using AutoTrain |
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- Problem type: Multi-class Classification |
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- Model ID: 1647758504 |
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- CO2 Emissions (in grams): 6.7999 |
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## Validation Metrics |
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- Loss: 0.001 |
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- Accuracy: 1.000 |
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- Macro F1: 1.000 |
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- Micro F1: 1.000 |
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- Weighted F1: 1.000 |
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- Macro Precision: 1.000 |
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- Micro Precision: 1.000 |
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- Weighted Precision: 1.000 |
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- Macro Recall: 1.000 |
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- Micro Recall: 1.000 |
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- Weighted Recall: 1.000 |
