End of training
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- checkpoint-250/custom_checkpoint_0.pkl +1 -1
- checkpoint-250/optimizer.bin +1 -1
- checkpoint-250/pytorch_model.bin +1 -1
- checkpoint-250/pytorch_model_1.bin +1 -1
- logs/custom-diffusion/1701447250.8173196/events.out.tfevents.1701447250.cudahpc06.2418814.1 +3 -0
- logs/custom-diffusion/1701447250.8189497/hparams.yml +57 -0
- logs/custom-diffusion/events.out.tfevents.1701447250.cudahpc06.2418814.0 +3 -0
- pytorch_custom_diffusion_weights.bin +1 -1
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logs/custom-diffusion/1701447250.8189497/hparams.yml
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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: 250
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freeze_model: crossattn_kv
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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hub_token: null
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learning_rate: 1.0e-05
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local_rank: -1
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logging_dir: logs
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modifier_token: <new1>
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no_safe_serialization: true
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noaug: false
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num_class_images: 200
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num_validation_images: 2
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output_dir: custom-diffusion-model
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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prior_generation_precision: null
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prior_loss_weight: 0.0
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report_to: tensorboard
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resolution: 512
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revision: null
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logs/custom-diffusion/events.out.tfevents.1701447250.cudahpc06.2418814.0
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pytorch_custom_diffusion_weights.bin
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