---
language: en
license: mit
library_name: timm
tags:
- image-classification
- resnet50
- cifar100
datasets: cifar100
metrics:
- accuracy
model-index:
- name: resnet50_supcon_cifar100
  results:
  - task:
      type: image-classification
    dataset:
      name: CIFAR-100
      type: cifar100
    metrics:
    - type: accuracy
      value: 0.6854
---

# Model Card for resnet50_supcon_cifar100

This model is a small resnet50 trained on cifar100.

- **Test Accuracy:** 0.6854
- **License:** MIT

## How to Get Started with the Model

Use the code below to get started with the model.

```python
import detectors
import timm

model = timm.create_model("resnet50_supcon_cifar100", pretrained=True)
```

## Training Data

Training data is cifar100.

## Training Hyperparameters


- **config**: `None`

- **model**: `resnet50_supcon_cifar100`

- **batch_size**: `512`

- **epochs**: `501`

- **lr**: `0.5`

- **warmup_epochs**: `10`

- **validation_frequency**: `50`

- **output_features_dim**: `128`

- **seed**: `1`

- **debug**: `False`

- **dataset**: `cifar100`

- **training_mode**: `supcon`


## Testing Data

Testing data is cifar100.

---

This model card was created by Eduardo Dadalto.