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# UpsideDownClassifier
This classifier was trained using the [auto-cats-and-dogs](https://huggingface.co/datasets/nateraw/auto-cats-and-dogs) dataset. It was trained over 5 epochs using a pretrained resent18.
The configuration for the model was
```
config = {
"batch_size": 64,
"num_epochs": 5,
"lr": 0.005,
"betas": (0.9, 0.999),
"eps": 1e-6,
"lr": 8e-3,
"do_eval": True
}
```
## Traning Plots
We can see in the figures below the training plots for accuracy and the loss in both, training and validation sets.
### Accuracy Plot
### Loss Plot
## Some Results
Evaluating on the Test Set, we obtain:
- Accuracy = 0.9696
A batch with some missclassifications can be seen in the picture below.
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