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---
language: en
license: mit
library_name: timm
tags:
- image-classification
- resnet34
- cifar100
datasets: cifar100
metrics:
- accuracy
model-index:
- name: resnet34_supcon_cifar100
results:
- task:
type: image-classification
dataset:
name: CIFAR-100
type: cifar100
metrics:
- type: accuracy
value: 0.6740999999999999
---
# Model Card for resnet34_supcon_cifar100
This model is a small resnet34 trained on cifar100.
- **Test Accuracy:** 0.6740999999999999
- **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("resnet34_supcon_cifar100", pretrained=True)
```
## Training Data
Training data is cifar100.
## Training Hyperparameters
- **config**: `None`
- **model**: `resnet34_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. |