metadata
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.
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.