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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
cache_dir: null
caption_column: text
checkpointing_steps: 500
checkpoints_total_limit: null
conditioning_image_column: segmentation_image
controlnet_model_name_or_path: null
dataloader_num_workers: 0
dataset_config_name: null
dataset_name: SRathod/GID_seg_full
enable_xformers_memory_efficient_attention: false
gradient_accumulation_steps: 4
gradient_checkpointing: true
hub_model_id: null
hub_token: null
image_column: image
learning_rate: 1.0e-05
logging_dir: logs
lr_num_cycles: 1
lr_power: 1.0
lr_scheduler: constant_with_warmup
lr_warmup_steps: 500
max_grad_norm: 1.0
max_train_samples: null
max_train_steps: 312
mixed_precision: null
num_train_epochs: 2
num_validation_images: 4
output_dir: model_out_seg
pretrained_model_name_or_path: stable-diffusion-v1-5/stable-diffusion-v1-5
proportion_empty_prompts: 0
push_to_hub: true
report_to: tensorboard
resolution: 512
resume_from_checkpoint: ./model_out_seg/checkpoint-1000
revision: null
scale_lr: false
seed: null
set_grads_to_none: true
tokenizer_name: null
tracker_project_name: controlnet
train_batch_size: 1
train_data_dir: null
use_8bit_adam: true
validation_steps: 100
variant: null