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README.md
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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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metrics:
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- acc
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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: 0.9
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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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```
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