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test_lora_dog

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End of training

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Files changed (7) hide show
  1. checkpoint-500/optimizer.bin +2 -2
  2. checkpoint-500/pytorch_lora_weights.bin +2 -2
  3. checkpoint-500/random_states_0.pkl +2 -2
  4. logs/dreambooth-lora/1685281287.1258256/events.out.tfevents.1685281287.lucca-B150M-Gaming-3.19213.1 +3 -0
  5. logs/dreambooth-lora/1685281287.1272955/hparams.yml +55 -0
  6. logs/dreambooth-lora/events.out.tfevents.1685281287.lucca-B150M-Gaming-3.19213.0 +3 -0
  7. pytorch_lora_weights.bin +2 -2
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+ adam_beta1: 0.9
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+ adam_beta2: 0.999
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+ adam_epsilon: 1.0e-08
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+ adam_weight_decay: 0.01
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+ allow_tf32: false
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+ center_crop: false
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+ checkpointing_steps: 500
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+ checkpoints_total_limit: null
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+ class_data_dir: null
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+ class_prompt: a photo of dog
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+ dataloader_num_workers: 0
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: true
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+ hub_model_id: test_lora_dog
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+ hub_token: null
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+ instance_data_dir: dog-example/
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+ instance_prompt: a photo of sks dog
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+ learning_rate: 0.0001
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+ local_rank: -1
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+ logging_dir: logs
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+ lr_num_cycles: 1
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+ lr_power: 1.0
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+ lr_scheduler: constant
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+ max_grad_norm: 1.0
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+ max_train_steps: 500
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+ mixed_precision: fp16
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+ num_class_images: 200
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+ num_train_epochs: 100
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+ num_validation_images: 4
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+ output_dir: out/
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+ pre_compute_text_embeddings: false
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+ pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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+ prior_generation_precision: null
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+ prior_loss_weight: 1.0
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+ push_to_hub: true
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+ report_to: tensorboard
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+ resolution: 512
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+ resume_from_checkpoint: null
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+ sample_batch_size: 1
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+ scale_lr: false
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+ seed: null
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+ svdiff: false
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+ test_inference: false
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+ text_encoder_use_attention_mask: false
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+ train_text_encoder: false
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+ use_8bit_adam: true
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+ validation_epochs: 50
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+ validation_prompt: null
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+ with_prior_preservation: false
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