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  1. training_config.json +58 -0
training_config.json ADDED
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+ {
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+ "learning_rate": 0.0001,
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+ "weight_decay": 0.01,
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+ "betas": [
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+ 0.9,
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+ 0.95
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+ ],
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+ "grad_clip": 1.0,
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+ "optimizer": "adamw",
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+ "warmup_steps": 500,
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+ "total_steps": 417059,
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+ "max_epochs": 100,
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+ "lr_scheduler": "constant",
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+ "min_lr": 1e-06,
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+ "warmup_type": "linear",
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+ "gradient_accumulation": 8,
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+ "gradient_checkpointing": false,
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+ "compile_mode": null,
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+ "ema_decay": 0.9999,
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+ "shift": 3.0,
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+ "use_snr_weighting": true,
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+ "snr_gamma": 5.0,
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+ "use_huber_loss": true,
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+ "huber_delta": 0.1,
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+ "logit_normal_sampling": true,
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+ "logit_mean": 0.0,
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+ "logit_std": 1.0,
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+ "enable_lune": true,
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+ "lune_weight": 0.1,
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+ "lune_warmup_steps": 1000,
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+ "lune_dropout": 0.1,
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+ "lune_mode": "cosine",
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+ "enable_sol": true,
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+ "sol_weight": 0.05,
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+ "sol_warmup_steps": 2000,
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+ "sol_dropout": 0.1,
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+ "use_spatial_weighting": false,
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+ "text_dropout": 0.1,
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+ "checkpoint_dir": "./checkpoints",
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+ "save_every_steps": 1562,
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+ "keep_last_n_steps": 5,
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+ "save_every_epochs": 1,
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+ "keep_last_n_epochs": 3,
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+ "log_every": 20,
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+ "tensorboard_dir": "./logs",
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+ "sample_every": 500,
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+ "sample_prompts": [
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+ "subject, object, a red cube on a blue sphere",
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+ "subject, a golden retriever sitting on grass",
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+ "subject, object, a coffee cup next to a laptop",
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+ "subject, a woman with short hair smiling"
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+ ],
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+ "sample_dir": "./samples",
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+ "dtype": "torch.bfloat16",
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+ "hf_repo_id": "AbstractPhil/tiny-flux-deep",
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+ "upload_every_steps": 1562,
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+ "upload_every_epochs": 0
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+ }