| 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: true | |
| gradient_accumulation_steps: 4 | |
| gradient_checkpointing: false | |
| hub_model_id: null | |
| hub_token: null | |
| initializer_token: farm | |
| learnable_property: object | |
| learning_rate: 0.016 | |
| local_rank: 0 | |
| logging_dir: logs | |
| lr_num_cycles: 1 | |
| lr_scheduler: constant | |
| lr_warmup_steps: 0 | |
| max_train_steps: 3000 | |
| mixed_precision: 'no' | |
| num_train_epochs: 94 | |
| num_validation_images: 4 | |
| num_vectors: 1 | |
| output_dir: textual_inversion_annual_crop | |
| placeholder_token: <annual-crop-sat> | |
| pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1 | |
| 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: /home/ubuntu/datasets/Eurosat_few_shot_10/AnnualCrop | |
| validation_epochs: null | |
| validation_prompt: null | |
| validation_steps: 100 | |