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+ ---
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+ language: en
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+ license: apache-2.0
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+ library_name: diffusers
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+ tags: []
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+ datasets: huggan/smithsonian_butterflies_subset
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+ metrics: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # ddpm-butterflies-128
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+
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+ ## Model description
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+
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+ This diffusion model is trained with the [🤗 Diffusers](https://github.com/huggingface/diffusers) library
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+ on the `huggan/smithsonian_butterflies_subset` dataset.
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training data
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+
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+ [TODO: describe the data used to train the model]
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - gradient_accumulation_steps: 1
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+ - optimizer: AdamW with betas=(None, None), weight_decay=None and epsilon=None
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+ - lr_scheduler: None
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+ - lr_warmup_steps: 500
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+ - ema_inv_gamma: None
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+ - ema_inv_gamma: None
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+ - ema_inv_gamma: None
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+ - mixed_precision: fp16
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+
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+ ### Training results
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+
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+ 📈 [TensorBoard logs](https://huggingface.co/Veit/ddpm-butterflies-128/tensorboard?#scalars)
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+