
# Model Card for resnet50_supcon_cifar10

This model is a small resnet50 trained on cifar10.

- **Test Accuracy:** 0.9518000000000001
- **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_cifar10", pretrained=True)
```

## Training Data

Training data is cifar10.

## Training Hyperparameters


- **config**: `None`

- **model**: `resnet50_supcon_cifar10`

- **batch_size**: `512`

- **epochs**: `501`

- **lr**: `0.5`

- **warmup_epochs**: `10`

- **validation_frequency**: `50`

- **output_features_dim**: `128`

- **seed**: `1`

- **debug**: `False`

- **dataset**: `cifar10`

- **training_mode**: `supcon`


## Testing Data

Testing data is cifar10.

---

This model card was created by Eduardo Dadalto.
{"language": "en", "license": "mit", "library_name": "timm", "tags": ["image-classification", "resnet50", "cifar10"], "datasets": "cifar10", "metrics": ["accuracy"], "model-index": [{"name": "resnet50_supcon_cifar10", "results": [{"task": {"type": "image-classification"}, "dataset": {"name": "CIFAR-10", "type": "cifar10"}, "metrics": [{"type": "accuracy", "value": 0.9518000000000001}]}]}]}
timm pytorch image-classification resnet50 cifar10 en dataset:cifar10 license:mit model-index region:us
TAGS
#timm #pytorch #image-classification #resnet50 #cifar10 #en #dataset-cifar10 #license-mit #model-index #region-us 


# Model Card for resnet50_supcon_cifar10

This model is a small resnet50 trained on cifar10.

- Test Accuracy: 0.9518000000000001
- License: MIT

## How to Get Started with the Model

Use the code below to get started with the model.



## Training Data

Training data is cifar10.

## Training Hyperparameters


- config: 'None'

- model: 'resnet50_supcon_cifar10'

- batch_size: '512'

- epochs: '501'

- lr: '0.5'

- warmup_epochs: '10'

- validation_frequency: '50'

- output_features_dim: '128'

- seed: '1'

- debug: 'False'

- dataset: 'cifar10'

- training_mode: 'supcon'


## Testing Data

Testing data is cifar10.

---

This model card was created by Eduardo Dadalto.
# Model Card for resnet50_supcon_cifar10

This model is a small resnet50 trained on cifar10.

- Test Accuracy: 0.9518000000000001
- License: MIT ## How to Get Started with the Model

Use the code below to get started with the model. ## Training Data

Training data is cifar10. ## Training Hyperparameters


- config: 'None'

- model: 'resnet50_supcon_cifar10'

- batch_size: '512'

- epochs: '501'

- lr: '0.5'

- warmup_epochs: '10'

- validation_frequency: '50'

- output_features_dim: '128'

- seed: '1'

- debug: 'False'

- dataset: 'cifar10'

- training_mode: 'supcon' ## Testing Data

Testing data is cifar10.

---

This model card was created by Eduardo Dadalto.
TAGS
#timm #pytorch #image-classification #resnet50 #cifar10 #en #dataset-cifar10 #license-mit #model-index #region-us 
 # Model Card for resnet50_supcon_cifar10

This model is a small resnet50 trained on cifar10.

- Test Accuracy: 0.9518000000000001
- License: MIT ## How to Get Started with the Model

Use the code below to get started with the model. ## Training Data

Training data is cifar10. ## Training Hyperparameters


- config: 'None'

- model: 'resnet50_supcon_cifar10'

- batch_size: '512'

- epochs: '501'

- lr: '0.5'

- warmup_epochs: '10'

- validation_frequency: '50'

- output_features_dim: '128'

- seed: '1'

- debug: 'False'

- dataset: 'cifar10'

- training_mode: 'supcon' ## Testing Data

Testing data is cifar10.

---

This model card was created by Eduardo Dadalto.
TAGS
#timm #pytorch #image-classification #resnet50 #cifar10 #en #dataset-cifar10 #license-mit #model-index #region-us 
# Model Card for resnet50_supcon_cifar10

This model is a small resnet50 trained on cifar10.

- Test Accuracy: 0.9518000000000001
- License: MIT## How to Get Started with the Model

Use the code below to get started with the model.## Training Data

Training data is cifar10.## Training Hyperparameters


- config: 'None'

- model: 'resnet50_supcon_cifar10'

- batch_size: '512'

- epochs: '501'

- lr: '0.5'

- warmup_epochs: '10'

- validation_frequency: '50'

- output_features_dim: '128'

- seed: '1'

- debug: 'False'

- dataset: 'cifar10'

- training_mode: 'supcon'## Testing Data

Testing data is cifar10.

---

This model card was created by Eduardo Dadalto.