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msilva/
mapas_generados_ddpm

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mapas_generados_ddpm

Model description

This diffusion model is trained with the 🤗 Diffusers library on the /home/robotica10/nuevasEtiquetas/project-5-at-2022-11-27-13-01-b5b9ff2f 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: 9
eval_batch_size: 9
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

msilva/mapas_generados_ddpm