Upload linear-sssit-bn-adaln-proj0.5-triu0.026-enc8-img256-bs256-trand-synbn/args.json with huggingface_hub
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linear-sssit-bn-adaln-proj0.5-triu0.026-enc8-img256-bs256-trand-synbn/args.json
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{
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"output_dir": "exps",
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"exp_name": "linear-sssit-bn-adaln-proj0.5-triu0.026-enc8-img256-bs256-trand-synbn",
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"logging_dir": "logs",
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"report_to": "wandb",
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"sampling_steps": 10000,
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"resume_step": 0,
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"model": "SiT-XL/2",
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"num_classes": 1000,
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"encoder_depth": 8,
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"fused_attn": true,
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"qk_norm": false,
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"data_dir": "/mnt/main_storage/peihao/diffusion/datasets/imagenet_256",
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"resolution": 256,
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"batch_size": 256,
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"allow_tf32": true,
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"mixed_precision": "fp16",
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"epochs": 1400,
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"max_train_steps": 400000,
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"checkpointing_steps": 50000,
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"gradient_accumulation_steps": 1,
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"learning_rate": 0.0001,
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"adam_beta1": 0.9,
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"adam_beta2": 0.999,
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"adam_weight_decay": 0.0,
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"adam_epsilon": 1e-08,
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"max_grad_norm": 1.0,
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"seed": 0,
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"num_workers": 4,
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"path_type": "linear",
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"prediction": "v",
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"cfg_prob": 0.1,
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"proj_dims": [
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2048,
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768
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],
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"proj_adaln": true,
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"proj_synbn": true,
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"proj_bn": true,
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"proj_coeff": 0.5,
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"triu_coeff": 0.026,
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"proj_global_batch": true,
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"rand_t_batch": true,
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"weighting": "uniform",
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"legacy": false
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}
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