emendes3/cancer_diffusion_model_notumor

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cancerdiffusionmodel_notumor

Model description

This diffusion model is trained with the 🤗 Diffusers library on the notumor 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: 0.0001
• —trainbatchsize: 16
• —evalbatchsize: 16
• —gradientaccumulationsteps: 1
• —optimizer: AdamW with betas=(None, None), weight_decay=None and epsilon=None
• —lr_scheduler: None
• —lrwarmupsteps: 500
• —emainvgamma: None
• —emainvgamma: None
• —emainvgamma: None
• —mixed_precision: fp16

Training results

📈 TensorBoard logs