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--- |
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language: en |
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license: mit |
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library_name: timm |
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tags: |
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- image-classification |
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- resnet |
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datasets: beans |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: my-cool-model-with-eval-results |
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results: |
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- task: |
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type: image-classification |
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dataset: |
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type: beans |
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name: Beans |
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metrics: |
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- type: accuracy |
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value: 0.85 |
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- type: f1 |
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value: 0.75 |
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--- |
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# my-cool-model-with-eval-results |
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## Model description |
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This isn't really a model, it's just a test repo to see if the [modelcards](https://github.com/nateraw/modelcards) package works! |
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## Intended uses & limitations |
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#### How to use |
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```python |
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# You can include sample code which will be formatted |
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``` |
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#### Limitations and bias |
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Provide examples of latent issues and potential remediations. |
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## Training data |
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Describe the data you used to train the model. |
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If you initialized it with pre-trained weights, add a link to the pre-trained model card or repository with description of the pre-training data. |
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## Training procedure |
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Preprocessing, hardware used, hyperparameters... |
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## Eval results |
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Provide some evaluation results. |
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### BibTeX entry and citation info |
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```bibtex |
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@inproceedings{..., |
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year={2020} |
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} |
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``` |
