shalpin87/diffusion_cifar

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diffusion_cifar

Model description

This diffusion model is trained with the 🤗 Diffusers library on the CIFAR10 dataset.

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training data

[TODO: describe the data used to train the model]

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1e-12
• —trainbatchsize: 256
• —evalbatchsize: 16
• —gradientaccumulationsteps: 1
• —optimizer: AdamW with betas=(0.95, 0.999), weight_decay=1e-06 and epsilon=1e-08
• —lr_scheduler: cosine
• —lrwarmupsteps: 500
• —emainvgamma: 1.0
• —emainvgamma: 0.75
• —emainvgamma: 0.9999
• —mixed_precision: fp16

Training results

📈 TensorBoard logs