ddpm-pokemons-64_500_epochs_1000_float32

Model description

Intended uses & limitations

How to use

Limitations and bias

Training data

Training hyperparameters

• 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: no

Training results