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End of training
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adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1.0e-08
adam_weight_decay: 0.01
allow_tf32: false
center_crop: false
checkpointing_steps: 500
checkpoints_total_limit: null
dataloader_num_workers: 0
enable_xformers_memory_efficient_attention: false
gradient_accumulation_steps: 4
gradient_checkpointing: false
hub_model_id: null
hub_token: null
initializer_token: cat
learnable_property: object
learning_rate: 0.002
local_rank: -1
logging_dir: logs
lr_num_cycles: 1
lr_scheduler: constant
lr_warmup_steps: 0
max_train_steps: 3000
mixed_precision: 'no'
num_train_epochs: 120
num_validation_images: 4
num_vectors: 1
output_dir: test/textual_inversion_catmarket1
placeholder_token: <special-catmarket1>
pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
push_to_hub: true
repeats: 100
report_to: tensorboard
resolution: 512
resume_from_checkpoint: null
revision: null
save_as_full_pipeline: false
save_steps: 500
scale_lr: true
seed: null
tokenizer_name: null
train_batch_size: 1
train_data_dir: test/catmarket1
validation_epochs: null
validation_prompt: null
validation_steps: 100