metadata
language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: /home/robotica10/nuevasEtiquetas/project-5-at-2022-11-27-13-01-b5b9ff2f
metrics: []
mapas_generados_ddpm2
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: 12
- 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