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This model is a small resnet34 trained on cifar10.

  • Test Accuracy: 0.8998999999999999
  • 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_simclr_cifar10", pretrained=True)

Training Data

Training data is cifar10.

Training Hyperparameters

  • config: None

  • model: resnet34_simclr_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: simclr

Testing Data

Testing data is cifar10.


This model card was created by Eduardo Dadalto.

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Dataset used to train edadaltocg/resnet34_simclr_cifar10

Evaluation results