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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
center_crop: true
checkpointing_steps: 500
checkpoints_total_limit: null
dataloader_num_workers: 0
dataset_config_name: null
dataset_name: UtkuCicek/new-marks-data
dream_detail_preservation: 1.0
dream_training: false
enable_xformers_memory_efficient_attention: false
gradient_accumulation_steps: 4
gradient_checkpointing: true
hub_model_id: null
hub_token: null
image_column: image
input_perturbation: 0
learning_rate: 1.0e-06
local_rank: -1
logging_dir: logs
lr_scheduler: constant
lr_warmup_steps: 0
max_grad_norm: 1.0
max_train_samples: null
max_train_steps: 875
mixed_precision: fp16
noise_offset: 0
non_ema_revision: null
num_train_epochs: 20
output_dir: sd_marks
prediction_type: null
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-2
push_to_hub: true
random_flip: true
report_to: tensorboard
resolution: 512
resume_from_checkpoint: null
revision: null
scale_lr: false
seed: null
snr_gamma: null
tracker_project_name: text2image-fine-tune
train_batch_size: 2
train_data_dir: null
use_8bit_adam: false
use_ema: true
validation_epochs: 5
variant: null