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Model description

This diffusion model is trained with the 🤗 Diffusers library on the imagefolder 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
  • train_batch_size: 50
  • eval_batch_size: 16
  • gradient_accumulation_steps: 1
  • optimizer: AdamW with betas=(None, None), weight_decay=None and epsilon=None
  • lr_scheduler: None
  • lr_warmup_steps: 500
  • ema_inv_gamma: None
  • ema_inv_gamma: None
  • ema_inv_gamma: None
  • mixed_precision: fp16

Training results

📈 TensorBoard logs

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